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A day in the life of a CAD Engineer: As a Computer Aided Dispatch (CAD) Engineer at Hexagon US Federal, you will play a key role in delivering and supporting mission-critical Public Safety solutions. Your work will include the installation, configuration, and testing of Hexagon Public Safety products and interfaces in both on-premises and cloud-hosted environments, supporting agencies such as Police, Fire, and EMS. You may also travel to customer sites to provide hands-on support, whether maintaining existing Hexagon systems, troubleshooting technical issues, or leading the deployment of new solutions. Every day brings a mix of technical problem-solving, collaboration with teammates, and direct engagement with customers to ensure their systems run seamlessly in 24/7 operational environments. This job is for you if you: Are passionate about providing solutions to a variety of complex customer problems by utilizing your strengths in troubleshooting and implementations. You will apply both your technical and functional knowledge in contributing to project delivery by providing your services for a variety of clients in the Public Safety industry. The ideal candidate will have 2-4 years’ experience installing, configuring, and troubleshooting of IT systems. Comfortable working with multiple software and hardware platforms, including servers, workstations and network equipment. Strong customer service and communication skills, with ability to support both technical and non-technical users. Experience documenting technical issues and solutions in ticketing systems and project deliverables. Experience with administering Active Directory Working knowledge of Microsoft SQL Server and relational database structures Ability to prioritize and multi-task effectively in fast-paced, mission-critical environments, including after-hours or on-call support Experience working in Public Safety (Fire, EMS, Police) environments is a plus. What we are expecting from you (i.e. the qualifications you must have): Bachelor’s degree, or equivalent applicable experience. CompTIA Security+ CE certification (preferred) or must be obtained with 6 months of hire date. Must be able to travel as needed to customer sites. Ability to communicate effectively, both orally and in writing as it relates to conveying technical information internally and externally. Ability to investigate problems or malfunctions and recommend solutions or corrective actions. Shares knowledge and assists others in the completion of their tasks to support team goals. Ability to keep abreast of changing software technology. Ability to work directly with customers in solving hardware/software problems. Must be able to work both independently and as part of a geographically dispersed team with little supervision and guidance. The physical and mental demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. Ability to remain in a stationary position and operate a computer for extended periods. Occasional ability to move or transport items up to 25 pounds. Communicate effectively in English (verbal, written) and possess visual and auditory acuity for tasks and safety. Manage multiple tasks, prioritize, and maintain focus in dynamic environments. Demonstrate strong problem-solving, critical thinking, and analytical skills. Maintain consistent attendance, punctuality, and high professional standards. Required Level of Security Clearance: Must be a US Citizen and have the ability to obtain and maintain a DoD Secret Security Clearance. Security Clearance not required at the time of hire Travel: 30 %

Staff Computer Vision/AI  Engineer Bright.AI is a high-growth Physical-AI company transforming how businesses interact with the physical world through intelligent automation. We are building a cutting-edge AI platform that processes visual, spatial, and temporal data across billions of real-world events—from edge devices and mobile sensors to large-scale cloud systems.   Our team includes world-class engineers and researchers from companies like Microsoft, Amazon, Tesla, and Meta. We are now hiring a Staff Computer Vision / AI Engineer to help shape the future of real-time visual intelligence and deploy next-generation AI systems at scale.  This is an incredible opportunity to work on cutting-edge AI systems that are redefining physical infrastructure industries. You will work on applied research and production-level ML/AI systems that power real-time decision-making across devices and services. This role requires deep expertise in computer vision, machine learning, and AI system design, with a strong focus on solving real-world problems. You'll work alongside world-class engineers and product leaders to define, build, and ship state-of-the-art AI features that are embedded into our platform.   Responsibilities: Lead the full lifecycle of Computer Vision and ML model development — from data collection and labeling through deployment and monitoring in production environments. Research and implement deep learning models for computer vision tasks including detection, segmentation, classification, tracking, and real-time inference. Drive CV projects from prototyping to production, in alignment with product and platform goals. Collaborate with product, hardware, and cloud teams to design end-to-end intelligent features across the stack. Architect technically robust, scalable, and reliable AI systems in collaboration with cross-functional teams. Solve complex physical-world challenges through structured experimentation and performance optimization. Prioritize and manage multiple initiatives to ensure model performance, reliability, and compliance.  Stay at the forefront of ML/AI and foundational models, integrate key innovations into the product roadmap. Evaluate emerging AI/ML trends and apply them to enable transformative infrastructure automation solutions.   Required Skills & Expertise: 7+ years of experience in computer vision and ML, with deep expertise in applied deep learning. Proven ability to deliver production-grade AI/ML solutions in fast-paced, real-world environments. Full-stack ML development lifecycle experience: data labeling and curation, model training, evaluation, optimization, and deployment. Hands-on technical skills with DL frameworks (PyTorch or TensorFlow) and string programming skills in Python (C++ is a plus). Hands-on experience with CNNs, YOLO, Vision Transformers, model compression, and real-time inference optimization. Hands-on experience deploying models in cloud platforms (AWS/GCP/Azure) and edge devices using TensorRT, ONNX, or TFLite. Strong problem solving and analytical skills, with the ability to convert ambiguity into actionable insights. Excellent team work and collaboration skills; ability to work cross-functionally with software, hardware, and product teams. Effective communicator, capable of conveying complex technical concepts to both technical and non-technical stakeholders. Self-motivated, proactive, and thrives in a dynamic, fast-paced environment.   Educational Background: PhD in Electrical Eng., Computer Science, or a related field with a focus on ML/AI for Computer Vision. Demonstrated research experience in CV with a strong record of publications and/or patents. Experience applying vision-based AI to real-time IoT systems or edge intelligence platforms.   Bonus Qualifications: Applied experience in CV for surveillance, physical-world perception problems, remote sensing, or structural health monitoring. Proficiency in Linux/Ubuntu environments; scripting and tooling around data and deployment workflows Familiarity with Agile development practices and tools such JIRA, Git, Confluence. Experience with embedded systems, Docker containers, or Linux-based deployment pipelines Prior experience in startup or high-growth environments building zero-to-one AI solutions

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. In the Human Interactive Driving team, we are looking to build the future of intelligent vehicles that center the human experience. We do this by simultaneously working to understand human learning, while also pushing the limits of what can be achieved with autonomous control. Then, we bring the two elements together in a shared autonomy framework, amplifying human potential. This role would be part of a new “Mobility 3.0” project that aims to bridge the gap between pure research and new product development. We will work closely with partners in Japan to rapidly prototype novel applications of innovative technology (including, of course, AI) to different types and scales of vehicles (including very small). Responsibilities Work across teams to ideate on novel concepts for computer vision applications, including understanding and communicating the benefits and limitations of the current state-of-the-art, and the sensitivity to data availability and quality. Work multi-functionally with mechanical, electrical, and software engineers to build development and testing plans for computer vision components of larger, integrated mechatronics projects. Own the design, development, and deployment of computer vision systems for unique vehicle types. Travel occasionally to engage in testing of experimental vehicles, including to California and Japan. Qualifications MS in Computer Science or related field, or BS + 3-5 years of experience. Experience in fine-tuning, training, and deploying ML computer vision systems. Familiarity with the current state of the art for computer vision. Bonus Qualifications Experience with real hardware, e.g. robots with cameras, is a huge plus. Experience with ML infrastructure is a plus. The pay range for this position at commencement of employment is expected to be between $176,000 and $264,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

54,000 new photos are taken every second, and 600 hours of video are uploaded every minute. At Topaz Labs, we help over 1 million paying customers (including teams at Google, Nvidia, and NASA) maximize the visual quality of over 1 billion of these photos and videos. About us Topaz Labs is a full-stack AI company that develops, trains, and deploys generative AI models for image and video enhancement. We’re the best in the world at improving image and video quality, and produce several award-winning desktop products that millions of people rely on. Image and video creation has exploded in the past few years and we’ve grown with it, but we still only process a tiny fraction of the world’s content. We’re building an elite team dedicated to bringing our technology to every image and video that needs it. We execute quickly, obsess about the customer experience, and promote from within. We’re also profitable with an infinite runway. About the role As a Computer Vision Engineer , you will play a pivotal role in advancing engineering development within our AI research organization. Your responsibilities will encompass algorithmic visual data processing, data pipelines, training infrastructure, and large-scale training optimization, among other tasks. As the first engineering hire for our lab, this position offers an unparalleled growth opportunity and the chance to drive research scalability from an engineering perspective.In this unique role, you’ll collaborate closely with our deep learning research and engineering teams to build state-of-the-art models for image and video enhancement. We rapidly prototype, build, and deploy new products, and your contributions will help us develop superior AI tools and products for our millions of users. About you At least 3+ years of professional working experience in a related field Hands-on experience with performance optimization, e.g. with multithreading Hands-on experience with computer vision models Experience with MLops best practices Experience with datasets Expert knowledge of Python, C/C++ Preferred Experience with perceptron models in computer vision Experience with backend development Experience with OpenCV, ffmpeg, other media-specific libraries and frameworks Exposure to model optimization for local processing Interest in photography or videography Do you meet most but not 100% of the above? We’d still like to hear from you–we are passionate about developing a diverse team and culture, so please apply if you’re interested! This is a unique role for someone interested in making a deep impact at a high-growth tech software company. We offer strong base salary, plus significant ownership that scales with the company's growth. We also offer 100% covered medical/dental/vision for employees, 15 days annual PTO, 5 personal days plus holidays, and 401k matching. This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the area

Dev's Talent Network is designed to create a network of talented applicants who are interested in working for Dev Technology and are waiting for a job opening that matches their skills and experience. Here you will find positions we are "always recruiting" as well as an opportunity to share your resume with Dev, even if the job position you seek is not listed here today. The Dev Talent Network is a community of highly qualified technical and management professionals recognized by Dev to demonstrate strong alignment with our company culture . The Dev Talent Network is comprised of candidates, referrals, Dev alumni, and fellow colleagues with whom we have worked in the past. We’re excited to evolve the Dev Talent Network so our members stay connected with Dev and discover new career opportunities with us. Dev Technology Group frequently hires new graduates for our entry level opportunities. Dev Technology is a great place to launch your career with a variety of programs that support our new hires and growth that include our mentorship programs, Denizens, Dev University and more. We hire entry level talent in the following IT service areas: Application Development (Full Stack), QA/Testers, Business Analysts, and AI/Data Science. Required Education, Experience, and Skills: Bachelors degree in Computer Science, CIS, AI, Data Science or similar program of study Demonstrated a strong interest in software development or related technical areas through past employment or academic/personal projects (e.g. GitHub portfolio, etc.) and software development concepts ad best practices for Developer and Business Analyst Opportunities OR Knowledge of machine learning and data science approaches and applications for Data Science and AI Opportunities Ability to obtain a U.S. government clearance as required Previous internship experience learning skills applicable to Dev Technology's service areas A desire to serve government clients and support their missions Ability to quickly absorb and learn application functionality well enough to explain it to someone else Understanding of application technology stacks and how they function together Demonstrated ability to communicate clearly and concisely both verbally and in writing Excellent diplomacy and communication skills with both clients and technical staff Excels working as part of a team Openness to continuous learning and receiving constructive feedback in order to improve Familiarity with agile development methodologies including Scrum, Kanban, or Lean practices preferred ***By submitting your information you agree our talent recruitment team may use your contact information to reach out to you regarding new opportunities that may be applicable to your experience.

We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges. Key Responsibilities: Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition. Optimize and fine-tune deep learning algorithms for real-time performance. Work closely with the software engineers and product teams to identify opportunities for leveraging data. Collect, clean, and preprocess large datasets to prepare for model training and evaluation. Evaluate and optimize machine learning models for accuracy, performance, and scalability. Deploy models into production environments and monitor their performance to ensure reliability. Stay up-to-date with the latest advancements in computer vision and artificial intelligence. Collaborate with cross-functional teams to integrate machine learning solutions into business processes. Document processes, models, and implementations to ensure reproducibility and scalability. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools. Experience with data manipulation tools such as Pandas, NumPy, and SQL. Strong programming skills in Python and C++. Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm. Proficiency in working with image and video data, including preprocessing and augmentation techniques. Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning. Strong communication skills and the ability to work collaboratively in a team environment. Great to have: Familiarity with containerization and orchestration tools like Docker and Kubernetes. Experience with version control systems such as Git. Understanding software engineering best practices, including code review, testing, and documentation. Experience with Large Language Models (LLMs) is a great plus. Experience with data annotation tools and processes. Benefits: Competitive salary. Comprehensive health and wellness benefits. Professional development opportunities and continuous learning programs. Collaborative and inclusive work environment.

Application Instructions: External Applicants: Please upload your resume on the Apply screen. Your application will automatically populate your resume details, and you may verify and update data on the My Information page. IMPORTANT: Please review the job posting and load ALL documents required in the job posting to the Resume/CV document upload section at the bottom of the My Experience application page. Use the Select Files button to add multiple documents including your Resume/CV, references, cover letter, and any other supporting documents required in the job posting. The "My Experience" page is the only opportunity to add your required supporting document attachments. You will not be able to modify your application after you submit it. Current Mercer University Employees: Apply from your existing Workday account. Do not apply from the external careers website. Log in to Workday and type Jobs Hub in the search bar. Locate the position and click Apply. Job Title: Senior Computer Scientist Department: MERC College/Division: Mercer Engineering Research Center Primary Job Posting Location: Warner Robins, GA 31088-7810 Job Details: Mercer Engineering Research Center (MERC), a research institute of Mercer University, provides high quality engineering, scientific, and technical support services to both government and private industry customers. As the Senior Computer Scientist, you will be responsible for leading, designing, and performing detailed software development activities. RESPONSIBILITIES: Serves as internal resource on structured programming techniques for software systems. Leads program design reviews with customer. Responsible from the initial concept to design, coding, and testing to meet specifications. Performs analysis of algorithms and requirements for computational resources and architecture required. Responsible for leading a team to develop software systems, including the design, implementation and deployment of device drivers, kernel enhancements, and other essential system-level software. Demonstrates proficiency in multiple software languages and operating systems. Responsible for leading a team to perform analysis, design, software development, and maintenance tasks for highly complex systems. Responsible for coaching less experienced computer scientists and ensuring adherence to design and coding standards and practices. Demonstrates the ability to mentor and lead less experienced team members. Leads the development, test, and integration of code for new or existing software of significant complexity involving multiple teams. Remains abreast of all applicable technical advancements. Applies and adapts theoretical principles to develop new computer software and/or hardware solutions. Develops approaches to solve analytical problems and documents methodologies Complies with all Executive Director approved MERC-wide policies and procedures. Adheres to approved MERC MSP quality management policies and principles and promotes an attitude of commitment to continuous quality improvement. Ensures thorough familiarity and awareness of all MERC core capabilities and remains alert for any opportunities to promote MERC capabilities and interests to customers and potential customers. Submits suggestions for new business opportunities or report identified customer problems or opportunities to the Director of Acquisition Strategy through a Chief Engineer/Technical Director. REQUIRED QUALIFICATIONS: US Citizenship is required. Ability to obtain and maintain a DoD Security Clearance. An undergraduate degree in computer science and 9 years of directly related experience; a Master's degree in same and 8 years of directly related experience; or a Ph.D. degree in same and 3 years of directly related experience. 3 years of technical lead responsibility. Ability to obtain certification in accordance with DoD 8140 series requirements. Proficient using Python, Java, JavaScript, J-Query, C#, and Dot.NET frameworks including MVC, Web Forms, and/or Dot.NET core. Proficient using secure coding practices. Proficient using database design principles and Structured Query Language (SQL). Proficient using the agile framework and software development life cycle. Proficient in the development of testing strategies for components and/or applications. DESIRED QUALIFICATIONS: Proficiency in TensorFlow, PyTorch, or similar libraries Experience building, fine tuning, and deploying advanced models (e.g., LLMs, computer vision, recommendation systems) Designing scalable AI pipelines, integrating data ingestion, model training, and production deployment Familiarity with CI/CD for models and model versioning Skilled in feature engineering, handling large datasets, and applying vector databases for semantic search Ability to interpret state of the art AI research and implement findings in production systems Understanding of model explainability, bias mitigation, and ethical AI practices Strong communication skills to work with cross functional teams and mentor junior engineers in AI practices Familiarization with data manipulation, cleaning and analysis. Familiarity with Oracle/SQL Server Knowledge of MLOps and tools like Docker and Kubernetes for productionizing models Candidate should be familiar with AWS, Google Cloud or Azure for deploying, scaling and managing AI models Final rank will be determined on the qualifications of the selected candidate. Application must include a cover letter and resume. BENEFITS OF WORKING AT MERC MERC is a non-profit research institute of Mercer University, a private university founded in 1833. Established in 1987 in Warner Robins, GA, MERC employs more than 200 engineers, scientists, professors, and support staff, who provide sustainable research solutions to government agencies, the Department of Defense, and commercial customers around the world. Warner Robins and the middle GA area are located 90 miles south of Atlanta and within easy driving distance of both the beach and mountains. The area is known for its Southern-style music, food, and restaurants and has a rich cultural and art presence, along with excellent health care and schools. MERC offers a generous benefits package including health and dental insurance, retirement, tuition reimbursement, vacation/sick leave accrual, and holiday pay. Why Work at Mercer University Mercer University offers a variety of benefits for eligible employees including comprehensive health insurance (for self and dependents), generous retirement contributions, tuition waivers, paid vacation and sick leave, technology discounts, schedules that allow for work-life balance, and so much more! At Mercer University, a Bear is more than a mascot: it's a frame of mind that begins with a strong desire to make the most out of your career. Mercer Bears do not settle for mediocrity or the status quo. If you're seeking an environment where your passion and determination are embraced, then you want to work at Mercer University. For more information, please visit: https://hr.mercer.edu/prospective/ Scheduled Weekly Hours: 40 Job Family: Staff MERC Exempt EEO Statement: EEO/Veteran/Disability

Position Title: Quarterly Lecturer - Electrical and Computer Engineering (2025 - 2026) Position Type: Temporary Salary Range: $10,051 per Course Equivalent (CE) Purpose: The Department of Electrical & Computer Engineering seeks applications for quarterly lecturers (QLs) for the 2024-2025 academic year to teach Electrical & Computer Engineering courses. Santa Clara University operates on a quarter system. Each quarter (fall, winter, and spring) is 10 weeks long, with an extra week for final examinations. Graduate classes are typically held during the 7:10-9:00 AM, 5:10-7:00 PM, and 7:10-9:00 PM time slots. Undergraduate classes are held at various times throughout the day (Monday-Friday). QLs are allowed to teach up to 4-course equivalencies (CEs) per academic year with no more than 2 CEs in any particular quarter. Additionally, QLs are allowed to teach an additional 2 CEs during the summer terms. Generally, course equivalencies are: UNDERGRADUATE: 4 unit lecture = 1 CE 1 unit lab = 0.5 CE 1 unit lab with a teaching assistant (TA) = 0.25 GRADUATE: 4 unit lecture = 1 CE 2 unit lecture = 0.66 CE Basic Qualifications: Earned a graduate degree (Ph.D. preferred) in Electrical & Computer engineering, or a closely related field. At a minimum, candidates should hold a Master's degree with equivalent experience. Demonstrated excellence in teaching Electrical & Computer engineering at the undergraduate level and/or graduate level. Responsibilities: Teach one or more undergraduate or graduate courses in Electrical & Computer engineering, including: Prepare and conduct all assigned class meetings Assign and evaluate/grade student work appropriately Be available to students for consultation outside of class Assign student grades appropriately and submitting them on time to the Office of Student Records Conduct course assessments as required by the department Special Instructions to Applicants: All QL faculty must apply via Workday once each academic year to be hired as a QL faculty. Your application must include, letter of interest and the specific courses you are interested in teaching that matches your expertise and contact information for three references Additional Information: Hiring is made on a quarterly basis. The first-class dates for the 2025-2026 academic year are: Fall 2025 - Monday, September 22, 2025 Winter 2026 - Monday, January 5, 2026 Spring 2026 - Monday, March 30, 2026 Summer 2026 - Monday, June 22, 2026 Please note that your employment is subject to the terms of a collective bargaining agreement between the University and the Service Employees International Union Local 1021 ("Local 1021"; see https://www.scu.edu/provost/faculty-affairs/cba-ntt/ ). Telecommute Santa Clara University is registered to do business in the following states: California, Nevada, Oregon, Washington, Arizona, and Illinois. Employees approved to telecommute are required to perform their work within one of these states. Work Authorization: SCU does not sponsor any applicants for work visas for this position. The successful candidate must be able to provide evidence of identity and legal authorization to work in the United States. EEO Statement Equal Opportunity/Notice of Nondiscrimination Santa Clara University is an equal opportunity employer. For a complete copy of Santa Clara University's equal opportunity and nondiscrimination policies, see https://www.scu.edu/title-ix/policies-reports/ Title IX of the Education Amendments of 1972 Santa Clara University does not discriminate in its employment practices or in its educational programs or activities on the basis of sex/gender, and prohibits retaliation against any person opposing discrimination or participating in any discrimination investigation or complaint process internally or externally. Information about Title IX can be found at www.scu.edu/title-ix. Information about Section 504 and the ADA Coordinator can be found at https://www.scu.edu/oae/ , (408) 554-4109, oae@scu.edu. Inquiries can also be made to the Assistant Secretary of Education within the Office for Civil Rights (OCR). Clery Notice of Availability Santa Clara University annually collects information about campus crimes and other reportable incidents in accordance with the federal Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act. To view the Santa Clara University report, please go to the Campus Safety Services website. To request a paper copy please call Campus Safety at (408) 554-4441. The report includes the type of crime, venue, and number of occurrences. Americans with Disabilities Act Santa Clara University affirms its' commitment to employ qualified individuals with disabilities within the workplace and to comply with the Americans with Disability Act. All applicants desiring an accommodation should contact the Department of Human Resources, and 408-554-5750 and request to speak to Indu Ahluwalia by phone at 408-554-5750 or by email at iahluwalia@scu.edu.

About Nimble Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. We're developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a $106M Series C funding round at a $1 billion valuation and we're continuing to grow our all-star team. Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Our long-term vision is to invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce. We were founded from the AI labs at Stanford and Carnegie Mellon. We're backed by the World's most prestigious investors and Nimble's Board of Directors includes AI and robotics legends like like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford's AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)! Join us to leave your mark on the future of robotics, AI, and logistics! Link: Introducing Nimble- Intelligent Fulfillment Robots at Scale Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values: Be relentlessly resourceful- Challenge the status quo. Make the impossible, possible. Do whatever it takes. Be legendary- Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others. Be humble- Leave your ego behind. Have a growth mindset. Learn and improve yourself every day. Be dependable- Take ownership and deliver. Be loyal to your team and Nimble's mission. About the Role We are looking for a Computer Vision Engineer (ReID + Tracking) to join our growing robotics team. You will play a critical role in working with our world-class cross-functional team to help develop and build the world's most advanced robotic systems for the world's biggest robotics opportunity! Responsibilities Own end-to-end development of Re-ID embeddings and multi-object tracking (MOT): data pipelines, model training, association logic, and real-time inference. Build object tracking models that are robust to occlusions, and similar objects. Optimize for production: quantization, TensorRT/ONNX export, Jetson/edge deployment, and monitoring for drift and accuracy. Partner with robotics, controls, and software teams to verify each pick and pack, ensuring order accuracy. Qualifications Bachelors, Masters, or PhD in Computer Science or related field, or equivalent experience 2+ years of industry experience Deep experience with object reidentification, multi-object tracking. Proven track record shipping CV systems from prototype to production (MLOps, dataset curation, continuous evaluation, A/Bs). Hands-on optimization skills for real-time performance on GPUs/edge accelerators. $160,000 - $220,000 a year Culture: We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Press: Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully-paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. This position description does not represent a current opening but may be used to identify candidates with skills and experience for positions within Northrop Grumman that frequently become available. Candidates who express an interest may be considered for future positions at Northrop Grumman.* Key Responsibilities: Roles and responsibilities will include but not be limited to the following: Perform as primary Systems or Network Administrator for a classified government contract. Communicate effectively at all levels of the organization, with internal and external customers, in written and verbal format. Maintain smooth operation of multi-user computer systems, including coordination with network, software, and system engineers, PC desktop technicians, project managers, end users, and customer and IT management. Support multiple networks while ensuring necessary administration tasks are completed and directing others as necessary. Analyze internal and external customer requirements and determine equipment and software requirements for solutions to problems by means of automated systems. Recommend and implement system enhancements that will improve the performance and reliability of the system including installing, upgrading/patching, monitoring, problem resolution, and configuration management. Provide backup and recovery services, manage file systems and disk space, and manage virus protection on a routine basis. Create and maintain user and computer accounts and modify file permissions and security access lists. Test new releases of products to ensure compatibility and minimize user impact. Develop and document technical processes and procedures as needed. Make recommendations to purchase hardware, software, and system components. Interact, meet, discuss, and troubleshoot issues with vendors, and evaluate vendor products, services, and suggestions. Adhere to strict Information Systems security guidelines in all cases. Maintain security audit and logging information on all classified networked and standalone computers as directed by the Information Systems Security Manager (ISSM). Prepare security documentation for input to Computer Security. Report project status as required for all recurring and non-recurring efforts. Work under minimal direction and independently determine and develop approach to solutions. Basic Qualifications for a Level 2: Associate's degree and 4 years of relevant experience, or a Bachelor's degree and 2 years of relevant experience; a High School diploma or equivalent and 6 years of relevant experience may be considered in lieu of a completed degree. Basic Qualifications for a Level 3: Associate's degree and 7 years of relevant experience, or a Bachelor's degree and 5 years of relevant experience, or a Master's degree and 3 years of relevant experience; a High School diploma or equivalent and 9 years of relevant experience may be considered in lieu of a completed degree. Basic Qualifications for Levels 2 and 3: Candidates must have a current DoD Secret level security clearance (adjudicated within the last 5 years); additionally, the selected candidate must be Top Secret eligible, and the required security clearance must be maintained as a condition of continued employment. Candidates must have the ability to obtain and maintain access to Special Programs as a condition of continued employment. Must have Security+ CE or equivalent certification; the required certification must be maintained as a condition of continued employment. Must have experience supporting large user populations in a secure environment Must have experience with either Windows (desktop and server), Linux (Red Hat or HPC), VMWare, Storage Systems (SAN, NAS, DAS) or CISCO networks. Salary Range: $81,300.00 - $150,000.00Salary Range 2: $100,300.00 - $187,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO . U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an electrical or computer engineering intern, you will join a multidisciplinary team to apply your academic knowledge and gain hands-on experience in one or more of the following areas: Electronic Warfare and Signal Processing: Antennas, electromagnetics, sensors, radar, photonics, and advanced signal processing. Communications and Spectrum Operations: Wireless communications, SIGINT, spectrum management, and position, navigation, and timing (PNT). Embedded Systems and Security: Electronics design, embedded security, and cryptographic systems. Prototyping and Advanced Manufacturing: Rapid hardware prototyping, mechanical design, reliability analysis, and advanced manufacturing techniques. Maritime Systems Development: Acoustic and ocean modeling, SONAR system analysis, and transducer design. Basic Qualifications Must be a full-time student pursuing an accredited degree program in Electrical Engineering, Computer Engineering, or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge in electrical and/or computer engineering including relevant tools, methodologies, and programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience having applied electrical or computer engineering concepts in an internship, research, or laboratory setting. Proficiency in using electrical and/or computer engineering methodologies, frameworks, tools and/or programming languages. Proven ability to work independently. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an electrical or computer engineering intern, you will join a multidisciplinary team to apply your academic knowledge and gain hands-on experience in one or more of the following areas: Electronic Warfare and Signal Processing: Antennas, electromagnetics, sensors, radar, photonics, and advanced signal processing. Communications and Spectrum Operations: Wireless communications, SIGINT, spectrum management, and position, navigation, and timing (PNT). Embedded Systems and Security: Electronics design, embedded security, and cryptographic systems. Prototyping and Advanced Manufacturing: Rapid hardware prototyping, mechanical design, reliability analysis, and advanced manufacturing techniques. Maritime Systems Development: Acoustic and ocean modeling, SONAR system analysis, and transducer design. Basic Qualifications Must be a full-time student pursuing an accredited degree program in Electrical Engineering, Computer Engineering, or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge in electrical and/or computer engineering including relevant tools, methodologies, and programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience having applied electrical or computer engineering concepts in an internship, research, or laboratory setting. Proficiency in using electrical and/or computer engineering methodologies, frameworks, tools and/or programming languages. Proven ability to work independently. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Position Title: Assistant Teaching Professor in Computer Science Position Type: Fixed Term (Fixed Term) Salary Range: The salary range for this position is $85,877 to $95,466, depending on the successful candidate's years of teaching experience at the college level. The position comes with generous benefits (scu.edu/hr/benefits), including medical, dental, vision, and life insurance, and University contributions toward retirement. The University also provides rental assistance, for which Assistant Teaching Professors are eligible, to ease the transition into the local housing market Purpose: The Department of Mathematics and Computer Science at Santa Clara University (SCU), a Jesuit, Catholic university, invites applications for a full-time, renewable, non-tenure track faculty position at the rank of Assistant Teaching Professor in Computer Science. SCU is a welcoming and inclusive community of teaching scholars whose work is grounded in the university's fundamental values. Those values, which include academic excellence, social justice, and community engagement, are infused with a culture of care that defines our community-upholding the dignity of all. The university draws on the many resources of the greater Bay Area, including Silicon Valley, where we are located. The department seeks a faculty member who will teach computer science courses, such as: Introduction to Programming, Introductory/Advanced Object Oriented Programming, Programming Languages, and Design and Management of Software. The successful candidate will start on September 1, 2026. This is primarily a teaching position, but the successful candidate will be expected to also engage in professional activity (15%) , and do service (15%) for the department, college, and university. SCU is on the quarter system, and the expected teaching load is seven undergraduate courses over three academic quarters (Fall, Winter, and Spring). Assistant Teaching Professors are appointed for an initial term of three years. Reappointment to subsequent terms of three years depends upon the availability of funds, persistent programmatic need, and superior teaching, service, and professional activity. Promotion to Associate Teaching Professor and then Teaching Professor is possible under the terms of the Collective Bargaining Agreement. As with most of the departments in the College of Arts and Sciences, the Mathematics and Computer Science Department is strictly an undergraduate program. Experience working with diverse groups of students is valued. Application Deadline: Submit by November 30, 2025. Application Procedure: Applicants must upload the following documents through Santa Clara University's hiring portal: A cover letter that indicates your interest in the position, and includes a short description of your teaching and/or industry experience, and professional development activities. A teaching statement that includes your teaching philosophy and professional development plans, and how they connect with SCU's Jesuit values. Curriculum vitae Unofficial graduate transcripts (official transcripts required at time of hire) Evidence of teaching excellence (such as syllabi, evaluations, sample teaching materials) or any closely related experience. Contact information for three confidential references. We will contact your references if you are chosen for interviews. Minimum Qualifications A Ph.D. in computer science, or a closely-related field, to be completed by start date, with evidence of software development experience, Demonstrated excellence in teaching or industry experience related to university-level lower-division courses such as: Introduction to Programming, Introductory/Advanced Object Oriented Programming, and Data Structures Preferred Qualifications Experience with high-impact teaching and mentoring practices for undergraduate students. Demonstrated ability to teach university-level upper-division courses such as: Design and Management of Software, Programming Languages, and Computer Graphics Responsibilities. Teaching Professors at SCU are expected to balance teaching, professional activity, and service. This is an in-person position. More specifically, duties include but are not limited to the following: Teaching and Advising (70%) Teach lower- and upper-division courses in the major and university core curriculum, as assigned by the chair, including courses such as introduction to programming, introductory/advanced object-oriented programming, data structures, design and management of software, programming languages, and computer graphics. SCU is on the quarter system and an Assistant Teaching Professor will typically teach two courses in two quarters and three courses in the third. High-quality teaching is prioritized at SCU; therefore, significant faculty-student interaction is expected. The university offers many different opportunities to develop teaching skills through Faculty Development, including regular lunchtime workshops on pedagogy, teaching and technology grants, communities of practice, teaching mentors, and a scholarship of teaching and learning faculty group. Teaching will be evaluated according to the Teaching Effectiveness Standards and Evaluation (TESE) document developed by each department. Ignatian pedagogy, a hallmark of Jesuit, Catholic universities, is based on the principle of cura personalis, that is, teaching the whole person. At Santa Clara University we define effectiveness in teaching as respectful, challenging, inclusive, engaging, and evidence based. Teaching Expectations and Academic Policies at SCU can be found here. Professional Activity (15%) Engage in professional activity, which for non-tenure track faculty on the Teaching Professor track refers to scholarly or creative work, professional practice, or other active engagement in a discipline or field that enables a faculty member to remain current in that area and vital as a teacher. Examples of professional activity include attendance or presentations at conferences, occasional publications that contribute to scholarship or pedagogy in the field, creative work in the arts, and practice in a professional field. Faculty in the Teaching Professor ranks shall not be held to the same standards of scholarship as tenure-track Faculty. Service (15%) Provide effective service to the Department of Mathematics and Computer Science, the College of Arts and Sciences, the University, and the profession through contributions other than teaching and scholarship, such as service on committees, participation in professional organizations and activities, leadership, and community service performed by virtue of professional expertise or association with the university, as appropriate to rank and experience. ADDITIONAL INFORMATION: Please note that the employment of non-tenure-track faculty as SCU is subject to the terms of a collective bargaining agreement between the University and the Service Employees International Union Local 1021 ("Local 1021"; see https://www.scu.edu/provost/faculty-affairs/cba-ntt/ ). Telecommute Santa Clara University is registered to do business in the following states: California, Nevada, Oregon, Washington, Arizona, and Illinois. Employees approved to telecommute are required to perform their work within one of these states. Work Authorization: SCU does not sponsor any applicants for work visas for this position. The successful candidate must be able to provide evidence of identity and legal authorization to work in the United States. EEO Statement Equal Opportunity/Notice of Nondiscrimination Santa Clara University is an equal opportunity employer. For a complete copy of Santa Clara University's equal opportunity and nondiscrimination policies, see https://www.scu.edu/title-ix/policies-reports/ Title IX of the Education Amendments of 1972 Santa Clara University does not discriminate in its employment practices or in its educational programs or activities on the basis of sex/gender, and prohibits retaliation against any person opposing discrimination or participating in any discrimination investigation or complaint process internally or externally. Information about Title IX can be found at www.scu.edu/title-ix. Information about Section 504 and the ADA Coordinator can be found at https://www.scu.edu/oae/ , (408) 554-4109, oae@scu.edu. Inquiries can also be made to the Assistant Secretary of Education within the Office for Civil Rights (OCR). Clery Notice of Availability Santa Clara University annually collects information about campus crimes and other reportable incidents in accordance with the federal Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act. To view the Santa Clara University report, please go to the Campus Safety Services website. To request a paper copy please call Campus Safety at (408) 554-4441. The report includes the type of crime, venue, and number of occurrences. Americans with Disabilities Act Santa Clara University affirms its' commitment to employ qualified individuals with disabilities within the workplace and to comply with the Americans with Disability Act. All applicants desiring an accommodation should contact the Department of Human Resources, and 408-554-5750 and request to speak to Indu Ahluwalia by phone at 408-554-5750 or by email at iahluwalia@scu.edu.

What We're Looking For At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners. This opportunity entails being under close supervision, assist departments by performing basic assignments in the areas including, but not limited to Science, Planning, Technology. This position is usually on a part-time, temporary, or co-op basis. For Current/ Previous Interns ONLY Relocation and housing are not provided for this role. What You'll Do: Assists project team members with various support tasks. Conducts basic research and data collection. Maintains records, collections and files related to specific projects. Assist in the development of graphics, presentation materials and reports. Performs other duties assigned. What You'll Need: Enrolled in a related undergraduate or graduate program What We Prefer: Additional Information Click here for benefits information: HNTB Total Rewards Click here to learn more about Equal Opportunity Employer/Disability/Veteran Visa sponsorship is not available for this position. #JS2 . Locations: Atlanta, GA, Bartow, FL, Boca Raton, FL, Bradenton, FL, Chipley, FL, Cutler Bay, FL (Caribbean Blvd), Fort Lauderdale, FL, Gainesville, FL, Green Cove Springs, FL, Jacksonville, FL, Kissimmee, FL (Celebration Blvd), Lake Mary, FL, Miami, FL, Ocoee, FL (FTE Turnpike Headquarters), Orlando, FL, Tallahassee, FL, Tampa, FL . . . . . . . . . . . . . . . . . . NOTICE TO THIRD-PARTY AGENCIES: HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.

Company Overview NerdsToGo is a rapidly growing technology-based service company with a mission to provide the best white-glove service in the business. We strive every day to provide outstanding technology services for residential and small business customers, demystifying technology and making it accessible for all. Job Summary The Computer Repair Technician will complete small business network installations, desktop configurations, installations and upgrades of personal and business computer hardware and software, perform inventories and preventative maintenance, provide network troubleshooting support, and software and operating system support on Mac and all versions of Windows. We are looking for IT support technicians with a strong field service background and customer service skills, solid technical skills, good communication skills and the desire to be a part of growing an exciting team! Responsibilities Onsite computer solutions for Windows-based PCs and Apple computers Network installation and maintenance (wired, wireless, LAN, WAN) Data recovery and loss prevention Virus protection and Spyware/Adware removal Computer security enhancement PC Hardware and software fault isolation and repair System repair and upgrades Software upgrade and installation Working with non-technical customers and setting them at ease Qualifications 2-5 years of experience with Windows-based PCs (Win7, Win8, Win10, Win11), Mac, and networking Strong knowledge of PC troubleshooting and repair, both hardware and software/OS Knowledge of network troubleshooting, wiring, PC troubleshooting (ex. Network+, MCSE, etc.) Proficiency with peer-to-peer and client/server network configurations and troubleshooting Managed Services Provider (MSP) experience a plus Benefits/Perks Great culture & team building events Ongoing training Skills development with senior technicians Access to company vehicles Opportunity to be a part of a fast growing and exciting brand! Compensación: $17.00 - $30.00 per hour IT SERVICE PROFESSIONALS NerdsToGo is dedicated to providing customers with fast, friendly, and knowledgeable Computer Service and Technology Solutions for a variety of devices. Our professional “Nerds” can help fix your Apple, Android, or Microsoft product, from cracked iPhones to slow or unresponsive laptops and everything in between. JOIN OUR TEAM AT NERDSTOGO At NerdsToGo, our technicians don’t just "go to work." Our business model has created a culture of excellence where Nerds are given the opportunity to grow and profit from their skills, while offering a high-standard of professional service to each and every one of our many loyal customers. If you are ready for an opportunity to do what you love doing, have fun, and be part of one of the fastest growing companies in the industry, you’ve come to the right place. NOW HIRING! We’re growing fast, so we’re looking for skilled applicants to fill positions throughout the country. If computers, smartphones, and tablets "speak to" you, or if you’re looking to expand your talents and start helping others with their IT problems, NerdsToGo may be the right fit for you. This franchise is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of this franchisee. All inquiries about employment at this franchisee should be made directly to the franchise location, and not to Nerds To Go Corporate.

Why Join Us? We're a fast-growing, profitable company transforming how computer vision is applied in property technology. By leveraging AI and human expertise we're redefining how property data is captured and used to drive smarter, faster decisions in the field, for operations, and within leadership teams. As a Computer Vision Engineer at Seek Now, you'll pioneer advanced image recognition and 3D modeling techniques to revolutionize property inspections. Leveraging cutting-edge computer vision, you'll help us move beyond manual assessments toward fully automated, data-driven insights-reshaping the future of property intelligence. What You'll Do Design & Implement CV Models- Build computer vision systems for object detection, damage assessment, image segmentation, and measurement extraction from aerial, drone, and ground-level imagery. Advance 3D Reconstruction- Develop algorithms to generate accurate 3D models of homes and property structures using images, LiDAR, and multimodal data sources. Innovate in Real-World Applications- Create real-time or near-real-time solutions for mobile and web platforms to power field inspections. Leverage Multimodal Data- Integrate data from RGB imagery, aerial/satellite sources, and LiDAR to produce richer, more reliable insights. Collaborate & Influence- Partner with product, engineering, and insurance experts to translate technical outputs into actionable business decisions. Drive Continuous Improvement- Stay at the forefront of computer vision and machine learning advancements, and apply emerging techniques to enhance accuracy, scalability, and efficiency. What You Bring Experience- 5+ years in computer vision, machine learning, or applied AI roles, preferably in real-world inspection, insurance, construction, or geospatial domains. Education- Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, Mathematics, Physics, or related technical field. Technical Expertise Deep Learning for 2D image classification, object recognition and semantic/instance segmentation. Strong Background in multimodal data fusion (e.g., RGB, aerial imagery, satellite, LiDAR). Tooling & Language-Proficiency in Python, TensorFlow/PyTorch, OpenCV and strong applied math skills in geometry, linear algebra and optimization. Strategic Mindset-Ability to see beyond the algorithm, anticipating business needs and shaping product direction through AI-driven insights. Nice to Have Experience with insurance, property tech or construction tech solutions. Familiarity with cloud-based ML deployment pipelines (AWS/GCP/Azure). Experience building interactive visualization tools for inspection data or 3D reconstructions. Why You'll Love It Here Ownership & Impact- You'll see your code in production, directly shaping products that matter. Fast Growth, Big Opportunities- As we scale, your role and influence will scale too. Collaborative Team- Join smart, humble engineers who get things done. Autonomy & Flexibility- We trust you to deliver results in the way that works best for you. Benefits and Perks: Seek Now offers exceptional compensation and a great benefits package, including health, dental and vision insurance, 401K with company match, paid time off (PTO), short and long-term disability insurance, AD&D insurance, life insurance, and more as it becomes available. EEO Statement: Seek Now is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. Seek Now does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

What We're Looking For At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners. This opportunity entails being under close supervision, assist departments by performing basic assignments in the areas including, but not limited to Science, Planning, Technology. This position is usually on a part-time, temporary, or co-op basis. For Current/ Previous Interns ONLY Relocation and housing are not provided for this role. What You'll Do: Assists project team members with various support tasks. Conducts basic research and data collection. Maintains records, collections and files related to specific projects. Assist in the development of graphics, presentation materials and reports. Performs other duties assigned. What You'll Need: Enrolled in a related undergraduate or graduate program What We Prefer: Additional Information Click here for benefits information: HNTB Total Rewards Click here to learn more about Equal Opportunity Employer/Disability/Veteran Visa sponsorship is not available for this position. #JS2 . Locations: Atlanta, GA, Bartow, FL, Boca Raton, FL, Bradenton, FL, Chipley, FL, Cutler Bay, FL (Caribbean Blvd), Fort Lauderdale, FL, Gainesville, FL, Green Cove Springs, FL, Jacksonville, FL, Kissimmee, FL (Celebration Blvd), Lake Mary, FL, Miami, FL, Ocoee, FL (FTE Turnpike Headquarters), Orlando, FL, Tallahassee, FL, Tampa, FL . . . . . . . . . . . . . . . . . . NOTICE TO THIRD-PARTY AGENCIES: HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.

As a part of a diverse community of faculty and staff who represent many faith systems and worldviews, the Department of Mathematical and Computational Sciences at Marian University in Indianapolis, IN seeks interested Adjunct Faculty in Computer Science to promote our Catholic Franciscan mission and identity by demonstrating academic excellence and the potential for distinctive contributions to the holistic development of students. Applicants with any level of Computer Science education will be considered. Graduate coursework and a passion for undergraduate experience are preferred. Area of specialization is open, but candidates should be able to assist the department in one or more of the following areas: Data Structures and Algorithms, Computer Graphics, Operating Systems, Programming Languages, Computer Architecture, Information Technology, and Database Systems. Appointments may begin as early as January 2024. Specific courses and academic terms to be determined by the Chair of Mathematical and Computational Sciences based on instructional need. The Department of Mathematical and Computational Science at Marian University is a collaborative academic community committed to fostering student engagement, problem solving, and communication. The department offers degrees in both Mathematics and Computer Science in order to develop transformative leaders for service to the world in a variety of areas of business, government, and education. The department recognizes the breadth of people, thought, and experience that contribute to research, education, and related professions in the mathematical sciences. We welcome everyone interested in mathematics, statistics, computer science, and related fields as we work to build a community that is diverse, respectful, accessible, and inclusive. We are committed to ensuring equitable access to opportunities and resources for people of any race, ethnicity, religious belief, gender identity, age, economic background, disability status, or any other social or physical component of their identity. Through our curriculum, our classrooms, our scholarship, our outreach to the community, and ourselves, we seek to acknowledge and carefully address existing biases, barriers, and uses and abuses of power and privilege. This commitment to reducing discrimination and promoting diversity and inclusion is rooted in the Franciscan Values of Marian University, which make social justice an indispensable part of our calling. Essential Duties and Responsibilities: Actively engage the Catholic Franciscan mission and identity of Marian University by modeling the Franciscan Sponsorship Values and honoring the legacy of the founding congregation through transformative education, unity in diversity, leadership through service, integrating faith and life, and institutional policies. Teach one or more course(s) per semester by arrangement with the Chair of Mathematical and Computational Sciences and the Computer Science faculty. Collaborate closely with the Center for Academic Success and Engagement, Counseling Center, Campus Security and Support, Dining Services, Student Activities and Orientation, the Exchange, Athletics, Student Health Center and Campus Ministry to connect residents to on-campus resources and provide residents with support. Demonstrate cultural competence in race, ethnicity, gender, gender identity expression, sexual orientation, socioeconomic status, ability, ideology, religion, national origin, and other areas of diversity. Required Qualifications: A Bachelor's Degree or higher in Computer Science. Enthusiasm for experiential undergraduate education A commitment to diversity, equity, and inclusion that ensures all types of students can succeed. Review of applications will begin immediately and continue until the position is filled. For Consideration All Applications Require: Cover Letter Current resume or CV Contact information of two professional references. The reference contact information must be entered after the application is submitted in the "My Presence" section of the applicant profile. Responses to the supplementary mission & identity questions. Please Review Marian University's Mission & Identity Statement before responding to the supplementary questions on your application: https://www.marian.edu/faith Marian University is an Equal Opportunity Employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Team The Computer Use Agents team aims to develop LLM agents that can use computers the way (or better) human use today. The team will build the base towards the goal of Macrohard - an autonomous AI software company. About the Role In this role you will: Build and manage massive clusters to host, persist, and serve CUA at scale. Develop and contribute to our in-house container orchestration platform, pushing scalability far beyond the capabilities of systems like Kubernetes. Collaborate closely with research teams to build and optimize clusters for large scale training runs and applications built around CUA. Exceptional candidates may have: Deep technical expertise in virtualization (KVM, Xen, QEMU) and containerization technologies (e.g., Kata, Firecracker, gVisor, Sysbox) with industrial experience in Linux kernel development, system programming, or low-level software engineering. Strong proficiency in systems programming languages like C/C++ and Rust. Proven ability to profile and debug complex system-level performance issues, with a strong grasp of Linux resource management, scheduling, and memory management. Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment (2): in a language of your choice to solve a logical, algorithmic problem meant to be solved in 40 minutes setting. System design: designing a scalable, reliable system for one of the real world problem demonstrating first-principles thinking by breaking down requirements, justifying architectural choices, and addressing challenges. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice