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cFocus Software seeks a Computer Programmer II to join our program supporting the Department of Defense (DoD). This position is remote. This position requires the ability to obtain a Secret clearance. Qualifications: · High School/Technical School Diploma · 3+ years of Computer Programming experience · Active IAT Level I Certification (A+CE, CCNA-Security, CND, Network+CE, or SSCP) Powered by JazzHR

The National Airspace System Integration Support Contract (NISC) Division of the Leidos Fed Civ IT Business Area currently has an opening for a Computer Systems Architect V. This position will be part of a dynamic team working to support the Federal Aviation Administration (FAA) in Oklahoma City at their Mike Monroney Aeronautical Center location. The Computer Systems Architect will provide support the operations support and engineering services to the En Route Surveillance Team, Long Range Radar in the radar systems and their associated computer systems at the Mike Monroney Aeronautical Center (MMAC). Primary Responsibilities Understand the technical requirements of the En Route Surveillance Team and the associated radar systems and provide system engineering direction to the program manager. Assist with the system engineering plan, including evaluating alternatives including cost and risk, supportability and analyses for total systems. Responsible for technical planning, system hardware-software-network design, development and integration, verification and validation, and fielding. Interact with system users, customers, managers, engineers, programmers, analysts, logisticians, technicians, and trainers to ensure communication of issues, activities, and solutions. Conduct mission analyses, functional analyses, performance analyses, and requirements analyses. Define candidate system architectures. Define and control internal and external interfaces and interconnectivity. Conduct system analysis and modeling. Evaluate alternatives including costs and risks, supportability and analyses for total systems. Manage and integrate specialty disciplines (i.e. Interoperability, reliability, producibility, environmental specifications, system safety, logistics). Monitor hardware and software development, integration, and test. Perform systems requirements analysis, functional analysis, timeline analysis, trade studies, requirements allocation and interface definition, technical management, integration, system testing, and quality assurance. Basic Qualifications Applicants are required to have detailed knowledge of the FAA NAS and specialized experience with facilities, surveillance, and navigation aids commonly used throughout the FAA NAS. Typically requires BS degree and 12 – 15 years of prior relevant experience or master’s with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domain. Additional experience may be substituted in lieu of a degree. Basic skills should include, but not be limited to: Budget Oversight. System enhancement project requests and scheduling. User requirements gathering. Collaboration between stakeholders and technical teams. Able to deliver high-quality technical solutions, adherence to timelines and deliverables. Familiar with architectural schematics, agile in identifying critical technologies. Able to maintain technological road maps. Able work with all levels of staff and management. Able to identify gaps, redundancies and technological challenges. Preferred Qualifications Knowledge of the following including, but not limited to: Common Air Route Surveillance Radar (CARSR). Air Route Surveillance Radar Model 4 (ARSR-4). The ARSR -4 replacement in Hawaii (ARSR4R-H). Preferred Experience and skills include: AWS, C#, Python, SAS, SQS, Java, Tableau, PowerBI, MATLAB, OpenShift, SonarQube, Lambda, DynamoDB, RDS, SES, SNS, S3, EFS, FSx, EC2, VPC, Step Functions, CloudWatch, CloudFormation, ECR, SecretsManager, Transfer Family (SFTP), EBS, Aurora, IAM, APIG. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: November 24, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Who we are Neros is a defense technology company rebuilding America’s drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment. As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy. We’re hiring engineers, operators, and builders who want to move fast, take on extreme ownership, and get capability into the hands of warfighters in months, not years. What you will be doing The Autonomy Computer Vision Engineer will be responsible for developing and implementing cutting-edge computer vision algorithms to be deployed onboard Neros drones. This role involves designing, testing, and optimizing algorithms for real-time operation in autonomous systems, ensuring high performance and reliability in diverse environments. The candidate will collaborate closely with cross-functional teams, including robotics engineers, software developers, and hardware engineers, to integrate vision-based solutions into autonomous drone platforms. You should have the following 3+ years of experience in computer vision, robotics, or related fields Proven experience in developing algorithms for real-time systems, preferably for autonomous platforms Strong proficiency in programming languages such as Python and C++ Expertise in computer vision libraries and tools like OpenCV, TensorFlow, PyTorch, or similar Experience with SLAM, object detection, and image segmentation techniques Familiarity with UAVs and drone systems Knowledge of real-time system constraints Proficiency in debugging, testing, and validating algorithms in simulation and real-world environments US Salary Range $150,000 - $200,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are considered part of Neros' total compensation package. We’re an equal opportunity employer. We welcome all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Discover a career that is challenging, impactful, rewarding and mission critical with the U.S. Cyber Command/J9. Join our team as a Senior Computer Engineer/ Architect and make an impact on our client. While you help us advance the mission, we’ll help advance your career. $150,000 - $160,000 a year How you will make an impact: Working in a discreet environment handling sensitive information daily. Working as an IT Systems Engineer with a focus on Cyberspace-IT project management and coordination. Overseeing in applied research and experimentation projects. Develop technical documentation, system architecture, and system design documentation. Interact with the Government regarding Systems Engineering technical considerations and associated problems, issues, or conflicts. As a Senior Computer Engineer/ Architect, your day-to-day duties will include: The Senior Computer Engineer/ Architect will be responsible for engineering projects that develop and implement next-generation IT tools, systems, and capabilities to aid DOD cyberspace operations. The Senior Computer Engineer/ Architect will coordinate with parties to ensure the mission effect is achieved and utilize technical expertise throughout to ensure a sound and secure delivery. Evaluate, develop, and deliver technical input to the systems engineering process. Performs tasks in accordance with applicable DOD guidance and industry standards. Performs computer network exploitation development. Evaluates the quality of software systems and solutions. The Senior Computer Engineer/ Architect oversees the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility. Communicate with other program personnel, Government overseers, and senior executives. Oversee the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility. Communicate with other program personnel, Government overseers, and senior executives. Guide system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Analyze complex information and independently take appropriate actions to resolve problems Provide engineering guidance to technical staff and establish effective working relationships with other Government agencies and mission partners. Guide system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Analyze complex information and independently take appropriate actions to resolve problems. The Senior Computer Engineer/ Architect delivers briefings on complex topics to groups, which may include high-level decision makers and work on complex research projects as a senior contributor and as part of an integrated research team. The Senior Computer Engineer/ Architect designs and deliver solutions. Your qualifications must be: Possess an Active Top-Secret clearance with SCI eligibility and Counterintelligence polygraph Minimum 10 (ten) years of experience as a System Engineer/Architecture Bachelor’s Degree from an accredited college or university in System Engineering or related discipline Exposure to Cloud/AWS A problem solver who can get in, be given a project, and use engineering skills to determine a solution Knowledge of DoD Architecture Framework (DODAF) Active CISSP, CASP+CE, CSSLP certification (minimum DoD 8570 IASAE Level II Certification) Able to build systems from the ground up – network architecture/systems engineering Salary ranges for this position will be disclosed and discussed during the candidate interviews prior to the Company extending a potential Contingency Offer for the position.

Who Are We Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel’s site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC’s. What You'll Do Lead State-of-the-Art Research : Invent and implement computer vision and generative AI algorithms that push the boundaries of the field. Stay abreast of the latest advances in deep learning, visual reasoning, and large-scale data processing Design Scalable Real-Time Systems : Create models that can reliably handle input from thousands of always-on video cameras, running at scale 24/7, and extract actionable insights around safety issues Collaborate with Cross-Functional Teams : Work closely with software engineering, cloud, and ML operations teams to optimize data ingestion, model retraining, and redeployment flows across large-scale infrastructures Consult on Customer Solutions : Advise Sales, Customer, and Field Engineering teams in defining and customizing solutions to meet complex client requirements Contribute to Product Evolution : Transfer research findings into production, contributing to the continuous improvement of our cutting-edge platform Drive Continuous Innovation : Shape Voxel’s vision for deploying generative AI to solve industrial and enterprise-scale computer vision problems, using millions of videos to find patterns and deliver actionable insights to customers. Minimum Qualifications Educational Background :Bachelor’s degree in Computer Science, Electrical Engineering, or a related field + 5 years of professional experience; OR Master’s degree in a relevant field + 3 years of professional experience; OR PhD in Computer Vision, Machine Learning, or a similar area. Deep Learning & Computer Vision Expertise : Proven experience in building and deploying deep learning models (e.g., convolutional neural networks, visual reasoning architectures) for large-scale image or video analysis. Practical Experience at Scale : Hands-on track record in processing and extracting insights from large video datasets (e.g., millions of video). Research-to-Product Transition : Demonstrated ability to translate innovative computer vision, machine perception, or machine learning research into shipping products or real-world applications. Generative AI Exposure : Familiarity with generative models and techniques, with a passion for applying them to real-world computer vision and safety use cases. Collaboration & Communication : Excellent written and verbal communication skills; able to lead cross-functional discussions and clearly articulate complex technical concepts to diverse stakeholders. Preferred Qualifications Experience with VLMs or Multi-Modal Architectures : Familiarity training or fine-tuning large Visual Language models that integrate text and visual components. Video-Based Modeling : Hands-on experience building and optimizing video-focused neural networks for tasks such as activity recognition, action localization, or spatiotemporal understanding. Why Join Us? Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment. Benefits: Extensive / Generous health, dental, and vision insurance. Highly competitive paid parental leave and support system. Ownership in the business through an Equity Incentive Plan. Generous paid time off and / or flexible work arrangements. Daily meals in-office, vibrant company events, team-building. 401K retirement plan, HSA options, pre-tax Commuter Card.

Computer Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: 8+ years of experience with scientific techniques such as mathematics, statistics, information science, artifi cia l intelligence, machine learning, probability modeling, data mining, data engineering, or data warehousing 8+ years of experience correlating complex, technical findings into graphical, written, visual, and verbal narrative products Experience with rapid prototyping for exploratory analysis on large volumes of data Experience working on classified networks and in support of DoD or IC clients Ability to advise about data management within hardware, sof tware, storage, and bandwidth constraints Ability to employ data science techniques to support predictive analysis, wargaming, and strategy development Ability to work independently with minimal oversight and direction TS/SCI clearance with a polygraph Bachelor’s degree Nice If You Have: Experience reviewing and evaluating technical documentation for compliance with applicable standards Experience developing and delivering training materials and workshops about technical processes Experience with multi-INT analytics Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. 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.

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training. Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks. Integrate and improve Computer Vision algorithms to work with other models such as LLMs Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. Write up results in design documents, technical reports, and papers for publication. Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation. Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives. Academic Qualifications Minimum : Master’s in Computer Science, a related technical field, or equivalent practical experience. Preferred : PhD or equivalent research experience in Computer Vision Professional Experience- Minimum Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision). Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation. Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms. Excellent problem-solving and troubleshooting skills to address complex technical challenges. Effective communication and collaboration skills to work with cross functional teams. Ability to effectively navigate ambiguity. Professional Experience- Preferred Knowledge of modern deep learning techniques and Generative AI for photography Experience leading research efforts and influencing other researchers. Experience with efficiency, modularity or related topics for LLMs. Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile). Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS). $150,000 - $450,000 a year Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include *Comprehensive medical, dental, and vision benefits *Bonus *401K Plan *Generous paid time off, sick leave and holidays *Paid Parental Leave *Employee Assistance Program *Life insurance and disability

Description A day in the life: As a Cryptologic Computer Scientist you will support critical missions while being faced with hard cryptologic computer science problems requiring you to design, develop, deliver, and operate scientific solutions. Daily tasks may involve analyzing forensic and network data, attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support. What you bring to the table: Level 1 A Bachelor’s degree in Computer Science or a related discipline from an accredited college or university At Least two (2) years of relevant experience Level 2 Bachelors in Computer Science or a related discipline and five (5) years of relevant experience Masters in Computer Science or a related discipline and three (3) years of relevant experience Doctorate in Computer Science or a related discipline and two (2) years of relevant experience Level 3 Bachelors in Computer Science or a related discipline and eight (8) years of relevant experience Masters in Computer Science or a related discipline and six (6) years of relevant experience Doctorate in Computer Science or a related discipline and four (4) years of relevant experience Level 4 Bachelors in Computer Science or a related discipline and 11 years of relevant experience Masters in Computer Science or a related discipline and nine (9) years of relevant experience Doctorate in Computer Science or a related discipline and seven (7) years of relevant experience For all levels, relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematical models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software An active TS/SCI security clearance with Polygraph is required for all levels The total package: Our total compensation package was strategically designed with our members in mind with the intention to: r eward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/ disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are: Level 1: $95,000 - $155,000 Level 2: $115,000 - $175,000 Level 3: $165,000 - $215,000 Level 4: $180,000 - $230,000 Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

Company Overview NerdsToGo is a cool, fast-growing brand that provides computer solutions to residential consumers and small businesses. We service every type of technology from computers, phones, tablets and printers to networks, internet connections, security and much more! Job Summary The Nerd will complete desktop configurations, installations and upgrades of personal computer hardware and software, perform technology audits, provide software and operating system support on Mac and all versions of Windows, and offer proactive remote monitoring on business systems. The Nerd must have a strong field service background and customer service skills. Nerds must have solid technical skills, good communication skills and the desire to be a part of growing and exciting team. Responsibilities Onsite computer solutions for Windows-based PCs and Apple computers Offer solutions such as hardware upgrades and remote monitoring to Residential customers and Business customers 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 One-on-one training Qualifications 2-5 years of experience with Windows-based PCs (Win7, Win8, Win10) and networking in both residential and business environments 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 Professional, high-energy, customer-oriented work ethic Valid driver’s license and a clean driving record Must be willing to submit to mandatory background check Benefits/Perks Great culture Access to fully branded Nerd Van Opportunity to be a part of a growing brand! Compensation: $13.00 - $22.00 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.

ComputerCare has spent more than 20 years building something rare in the IT world: a company where technical excellence and genuine human connection are valued equally. We're the trusted partner that IT leaders turn to when technology can't afford to fail. As a woman-owned business serving innovative companies worldwide, we combine certified technical expertise with a human approach. Whether it's managing complex device lifecycles for global teams or performing authorized repairs for Apple, Lenovo, HP and Dell devices, our work directly impacts how thousands of people stay productive every day. We never outsource our work because we believe in accountability, quality, and building lasting relationships—with our clients and as a team. If you're passionate about technology, take pride in solving real problems, and want to be part of a company that values both technical excellence and the people behind it, ComputerCare is where you belong. Come join us in our mission of being the Human Side of Hardware! As a Computer Repair Technician, you’ll be hands-on diagnosing and repairing devices while meeting manufacturer quality standards and performance goals. Your first 90 days will be focused on getting certified, building confidence across devices, and hitting repair benchmarks—all while working alongside a collaborative, supportive team. If you love taking things apart, putting them back together better than before, and keeping up with the latest tech, this role is for you. What You'll Do: Diagnose and repair laptops, desktops, tablets, and iPhones in line with manufacturer quality and efficiency standards. Meet repair quality, volume, and turnaround time KPIs, especially during your first 90 days. Reinstall operating systems and adjust software settings to resolve device issues. Perform hardware and software repairs that meet manufacturer and client performance metrics. Earn and maintain required certifications (Apple, Lenovo, HP, Dell, and others as needed). Research service guides and specifications to determine correct machine settings. Accurately document repairs, device statuses, and service details in internal systems. Track devices and parts throughout the repair process, including ordering parts as needed. Maintain organized part storage for repairs in progress. Support inventory accuracy through cycle counts and escalate discrepancies when identified. Collaborate with teammates and technical leads to troubleshoot issues and share best practices. Communicate with manufacturer service teams to resolve repair-related issues. Maintain a clean, safe, and organized workstation aligned with company and manufacturer standards. Learn and adopt new tools, processes, and procedures as repair standards evolve. Engage with vendors, customers, and team members with a positive, professional attitude. Support broader department needs and take on additional duties as assigned by leadership. What You'll Bring: 2+ years of hands-on experience repairing laptops, desktops, tablets, and/or iPhones. At least one relevant certification (CompTIA A+ preferred, ACMT, ACiT, Lenovo, HP, Dell, Toshiba, or similar). A commitment to staying current on technology, tools, procedures, and manufacturer training. Strong attention to detail and pride in producing high-quality repair work. Comfort with both written and verbal communication. Reliability, punctuality, and consistent attendance. Working knowledge of Microsoft Excel, Word, or Google Suite. A collaborative mindset and willingness to support teammates and team goals. Ability to lift 50+ lbs on a consistent basis. Perks and Benefits: Comprehensive Medical, Dental, and Vision plans to keep you feeling your best 401(k) with employer match—because your future matters Company-paid Life Insurance, plus HSA & FSA options Employee Assistance Program (EAP) for real support when you need it Adoption Assistance to help grow your family Commuter Benefits for an easier ride Free Coursera Professional Certifications to level up your skills Generous vacation & sick time, plus paid time off to give back to your community If you get to this point, we hope you're feeling excited about the job you just read. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in ComputerCare’s mission, core values and can contribute to our team in a variety of ways – not just candidates who check all the boxes. At ComputerCare, we welcome passionate individuals who have the unrestricted right to work in the United States, including natural citizens and Green Card holders. ComputerCare is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days. What you will do: Team Introduction: The Perception team is responsible for developing CV/ML algorithms to understand the surroundings of ego vehicles in real time , including obstacle detection, online mapping, and scene understanding. The perception system takes inputs from multiple sensors across time, and outputs various obstacle-level and scene-level understandings for downstream modules such as prediction and planning, etc. In the Perception team, you will: Develop and deploy cutting-edge perception and deep learning models, including computer vision models, vision-language and large language models (VLMs and LLMs), for real-time integration into our system. Create and optimize data pipelines for data mining, labeling, training, and evaluation, supporting comprehensive onboard development. Conduct advanced research in perception algorithms to address complex, real-world scenarios, focusing on areas like object detection, segmentation, road understanding, and motion prediction. Leverage multi-modal sensor fusion techniques to build robust architectures tailored for autonomous driving. Qualifications: Currently pursuing a degree in Computer Science, Robotics, or a related field, with an expected graduation date between December 2025 and June 2026. Strong programming experience in C++ or Python. Experienced in one or more of the following areas: machine learning, robotics, computer vision, data mining, LiDAR. Knowledgeable in data structures, 3D geometry, and advanced algorithms. Solid foundation in core robotics principles, including state estimation, 3D reconstruction, and visual odometry. Excellent software and computing fundamentals. Bonus Points: Experience with Large Language Models (LLM) or Vision Language Models (VLM) Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $120,000 - $165,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. What Happens Next: We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 4-5 interviews with your future colleagues to better inform our decision. During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process. We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today! WeRide.ai offers competitive salary depending on the experience. Employee benefits include: Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays 401K plan

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight. Senior Machine Learning/Computer Vision Engineer Parallel Systems is seeking an experienced Machine Learning Engineer to help build the next generation of perception systems powering our fully autonomous, battery-electric rail vehicles. In this role, you’ll take ownership of designing and deploying cutting-edge deep learning models that enable our vehicles to perceive and reason about complex, real-world environments. From handling adverse weather and ambiguous signals to navigating multi-agent interactions on active railways, your work will directly shape the safety and reliability of our autonomous platform. You’ll collaborate closely with top-tier engineers across autonomy, robotics, and systems, tackling some of the most challenging problems in real-time machine learning and computer vision. If you're excited by the opportunity to push the boundaries of AI in safety-critical, real-world applications, we’d love to work with you. This role requires at least one week a month or more in our LA office per month. Responsibilities: Design, develop, and deploy advanced machine learning models for large-scale perception problems. Own the full ML lifecycle—from data mining and annotation to training, evaluation, and deployment of production-grade models. Build and optimize deep learning architectures for object detection, segmentation, tracking, pose estimation, and scene understanding. Develop scalable and efficient training pipelines that ensure robust, real-time inference performance. Work extensively with large image, video, lidar and radar datasets to power next-generation computer vision systems. Conduct research and empirical studies to evaluate new architectures, techniques, and algorithmic improvements, incorporating or adapting state-of-the-art methods as appropriate. Build and contribute to infrastructure and tools for supporting ML Pipeline to automate data labeling, training workflows, evaluation processes, and model versioning. Collaborate cross-functionally with other engineering, research, and product teams to ensure seamless integration of ML systems into real-world applications. What Success Looks Like : After 30 Days: You have developed a deep understanding of the current perception architecture, sensor setup, and system requirements. You've identified key challenges in the ML pipelines and proposed initial areas for improvement across data workflows, model performance, and deployment constraints. After 60 Days: You’ve led the design of a new or improved perception subsystem and contributed hands-on to ML pipeline tooling. You've built a proof of concept aligned with system needs, demonstrating early improvements in performance or reliability based on real-world constraints. After 90 Days: You have delivered a perception feature with a proven working model in offline testing, showing measurable gains. The system is integrated into the pipeline and is progressing toward edge deployment, with a clear impact on overall perception capabilities. Basic Requirements : Bachelor’s or higher degree in Computer Science, Machine Learning, or a related technical discipline. 4+ years of hands-on experience developing and deploying ML systems at scale. Strong background in computer vision and/or deep learning with practical experience in designing and training neural networks for real-world applications. Proficiency in Python and familiarity with standard ML libraries and tools (e.g., NumPy, SciPy, Pandas). Expertise in at least one deep learning framework such as PyTorch or TensorFlow. Strong mathematical foundation in linear algebra, geometry, probability, and optimization. Proven track record of working autonomously and driving complex technical projects in fast-paced environments. Excellent communication and collaboration skills, with experience working on interdisciplinary teams. Preferred Qualifications : Experience with multi-modal perception (e.g., sensor fusion from cameras, lidar, radar). Experience optimizing models for deployment on edge devices with real-time constraints. Background in autonomous systems, robotics, or other safety-critical domains. Publications in top-tier ML or CV conferences (e.g., CVPR, ICCV, NeurIPS, ICML, ECCV). Experience with GPU/TPU programming and optimization tools (e.g., CUDA, TensorRT). Knowledge of low-level programming languages like C++ or Rust. Experience working directly with sensing hardware and understanding its constraints. We are committed to providing fair and transparent compensation in accordance with applicable laws. Salary ranges are listed below and reflect the expected range for new hires in this role, based on factors such as skills, experience, qualifications, and location. Final compensation may vary and will be determined during the interview process. The target hiring range for this position is listed below. Target Salary Range: $150,000 - $240,000 USD Parallel Systems is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to any discriminatory factor protected by applicable federal, state or local laws. We work to build an inclusive environment in which all people can come to do their best work. Parallel Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, Parallel Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your recruiter.

Company Overview NerdsToGo is a cool, fast-growing brand that provides computer solutions to residential consumers and small businesses. We service every type of technology from computers, phones, tablets and printers to networks, internet connections, security and much more! Job Summary The Nerd will complete desktop configurations, installations and upgrades of personal computer hardware and software, perform technology audits, provide software and operating system support on Mac and all versions of Windows, and offer proactive remote monitoring on business systems. The Nerd must have a strong field service background and customer service skills. Nerds must have solid technical skills, good communication skills and the desire to be a part of growing and exciting team. Responsibilities Onsite computer solutions for Windows-based PCs and Apple computers Offer solutions such as hardware upgrades and remote monitoring to Residential customers and Business customers 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 One-on-one training Qualifications 2-5 years of experience with Windows-based PCs (Win7, Win8, Win10) and networking in both residential and business environments 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 Professional, high-energy, customer-oriented work ethic Valid driver’s license and a clean driving record Must be willing to submit to mandatory background check Benefits/Perks Great culture Access to fully branded Nerd Van Opportunity to be a part of a growing brand! Compensation: $13.00 - $22.00 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.

Augmodo is at the forefront of spatial computing, where mapping connects the digital and physical worlds. As a Computer Vision Engineer, you will play a key role in our computer vision team in deploying and developing state-of-the-art algorithms and pipelines for localization, mapping, and detection. Roles & Responsibilities Design, implement, and optimize algorithms for computer vision and machine learning. Develop and maintain robust and scalable systems for processing large-scale computer vision systems and image datasets. Contribute to the development of novel computer vision techniques for video processing and image recognition. Collaborate with hardware engineers to integrate and optimize computer vision pipeline. Experience & Qualifications Expertise in Computer Vision, Deep Learning and ML algorithms and techniques. Strong programming skills in Python; ideally also C++. Proficiency in machine learning frameworks (e.g. PyTorch, TensorFlow) and computer vision libraries (e.g. OpenCV). Excellent problem-solving and analytical skills. Strong communication and teamwork skills. 3+ years of experience in production-level computer vision systems. Bachelor's or Master's in Computer Science, Robotics, or a related field. Preferred Skills Ph.D. in Computer Science, Robotics, or a related field. 5+ years of experience in production-grade computer vision systems. Experience deploying real-time systems on embedded or robotic platforms. $155,000 - $210,000 USD + Equity Additional Information At this time, we are unable to provide work authorization or visa sponsorship. To be considered for a role at Augmodo, you must be currently authorized to work in the USA, Canada, or the UK without the need for sponsorship now or in the future. Augmodo provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Augmodo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company hires. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training. Augmodo expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Augmodo's employees to perform their job duties may result in discipline up to and including discharge.

Be visionary Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research. ​ We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins. Job Description Teledyne ISCO has an exciting Engineering Intern position available. As an intern, you will have the opportunity to gain hands on experience and knowledge that will help develop your career. The Engineering Intern will assist as needed with engineering tasks related to both new product development and support of existing products. Responsibilities may include (but not limited to): Conducting performance tests on competitive products, engineering prototypes, and alpha/beta units. Performing research on competitive products, manufacturing methods, and for new product development in general. Creating and updating engineering models, drawings, and schematics. Creating, implementing and maintaining procedures and work instructions. Designing and implementing test fixtures. Assembling prototypes and conducting continuous improvement testing. Candidate must be pursuing a degree in Electrical or Computer Engineering or related field. Candidate should have excellent written and verbal communication skills. Hours will be a minimum of 15 - 20 hours per week between 8AM and 5PM Monday through Friday during the school year. Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions. Teledyne is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws. ​

From telescopes to software architecture, Observable Space provides the foundational elements every organization needs to operate in space. Observable Space is unlocking continuous, real-time observations of space with the industry’s first line of vertically integrated hardware and software products. The company is the result of a merger between PlaneWave Instruments, the leader in advanced telescope design and manufacturing in the US, and OurSky, a company founded by SpaceX’s former VP of software engineering to create a developer platform for space data applications. Observable Space’s full line of products serves all sectors of the space industry including commercial, science, education, and government customers, as well as astronomy enthusiasts discovering the cosmos. Observable Space is backed by top institutional investors–Upfront Ventures, Oceans Ventures, Venrex, Marlinspike Partners, and Embedded Ventures. We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from SpaceX, DARPA, SmartThings, and Bird. This role will report to the CTO. Key Responsibilities Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications. Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research. Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc) Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse. Design and generate simulated data for rapid testing of proof of concept algorithms. Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases. Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes. Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights. Basic Qualifications Masters degree in Engineering, Mathematics, or a related field of study, or equivalent professional experience. Strong foundation in mathematics or computational mathematics. Strong and demonstrated programming ability in C++ or C in a professional environment. Demonstrated experience in first principles engineering and science. Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects. Experience in machine learning model training using PyTorch or TensorFlow. Experience in classical vision techniques with an emphasis on OpenCV. Preferred Qualifications Ph.D. in Engineering, Mathematics, or a related field of study. Experience in machine learning model training using PyTorch or TensorFlow. Knowledge or experience in astrodynamics. What We Offer Competitive Compensation – A salary package aligned with industry standards and your experience. Equity Opportunities – Take part in our success with stock options. Flexible Work Environment – Enjoy working from our office or in a hybrid work setup with the flexibility to work remotely part of the week. We require a minimum of 3 days per week in our office to support collaboration and team culture. (LA Office only) Unlimited PTO – Take the time you need with our flexible, trust-based vacation policy, including paid holidays. We encourage everyone to rest, recharge, and take care of themselves. Health & Wellness – Comprehensive medical, dental, and vision coverage with 100% of the premium paid by the employer for employees. Cutting-Edge Tools – Get access to the latest hardware and software you need to do your best work. Mission-Driven Culture – Be part of a team working on meaningful challenges with real-world impact. Inclusive Team – We foster a supportive and diverse workplace where all voices are valued. Observable Space is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other basis protected by federal, state, or local law.

J. P. Mascaro & Sons is a locally owned and operated private family-owned company who has been experiencing record growth and success. In 1964, it started with one truck. We have grown into one of the largest most successful fully integrated solid waste companies serving the mid-Atlantic area. The Computer Programmer 's duties will include reviewing, and updating existing programs, identifying, and fixing defects, supporting data architecture, generating reports, developing in‐house software, and mitigating potential risk. Your expertise in the craft of programming will assist our organization in increasing efficiency and service to our customers and employees through the construction, maintenance, and streamlining of our business process, computing systems and programs The ideal candidate for this role must possess superior coding skills, excellent communication, high concentration levels, good task management, and superior problem solving and critical thinking skills. Essentially, the Computer Programmer must enhance the efficiency and cost‐effectiveness of systems, resolve errors, and design programs that are customized to our organization's needs. Before final interview, candidate must be able to provide examples of work skills This position is not a work from home position, you are expected to be in the Corporate IT Department to perform the duties and responsibilities listed. Computer Programmer Responsibilities: Coding and debugging Maintaining operating systems Designing and testing computer structures Editing source‐code Troubleshooting errors Profiling and analyzing algorithms Writing computer instructions Implementing build systems Managing database systems Detailed documentation for work Computer Programmer Requirements: Expert IT skills Analytical and problem‐solving skills Strong aptitude for math Aptitude for learning new technology Advanced knowledge of operating systems Deadline driven Visual Studio and the .NET Framework, Java, C++, SQL, C#, Mobile(Android/IOS) and HTML experience Superior communication skills Compensation: $50,000 - 60,000 Benefits: 401(k) Dental insurance Disability insurance Employee assistance program Health insurance Life insurance Paid time off Vision insurance For over 40 years, our motto has been "If it's service, it's us" . We cannot meet the goals of our company if we do not satisfy our customer's needs first. Our existence is dependent upon them. Our employees are our greatest asset. We invest in the growth and success of our employees. Come join our team!!

About Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges. About You: You’re a computer vision specialist who loves turning raw sensor data into actionable insights. You thrive at the intersection of algorithms, hardware, and real-world deployment—designing systems that can see, understand, and interact with the physical world. You’re comfortable moving between high-level model development and low-level camera calibration, and you take pride in building robust solutions that work reliably outside the lab. Responsibilities: Develop and implement object detection and identification algorithms for real-time applications. Design and optimize depth sensing and 3D mapping pipelines, integrating data from cameras and other sensors. Specify, configure, and calibrate camera systems, including selection of optics, sensors, and hardware. Develop tools and processes for camera calibration, synchronization, and data acquisition. Fuse data from multiple cameras/sensors to improve accuracy and robustness in perception systems. Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. Conduct experiments, evaluate performance, and refine algorithms for accuracy, efficiency, and scalability. Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field. Strong experience with computer vision algorithms (object detection, tracking, identification, SLAM). Proficiency in depth sensing and 3D reconstruction techniques (stereo vision, structured light, ToF, LiDAR integration). Hands-on experience with camera setup, specification, and calibration (intrinsic/extrinsic, distortion models, multi-camera rigs). Proficiency with computer vision libraries and frameworks (OpenCV, PyTorch/TensorFlow, CUDA). Experience developing in C++ and/or Python for high-performance vision applications. Strong understanding of camera hardware and imaging pipelines. Ability to design experiments, analyze results, and iterate quickly in a collaborative engineering environment. Nice to Haves: Experience with ROS/ROS2 integration for robotic vision. Familiarity with real-time embedded systems or GPU optimization. Knowledge of multi-sensor fusion (IMU, LiDAR, radar) for perception. Background in calibration automation and large-scale data collection pipelines. This position is based on-site at Merlin HQ in Boston, MA. We offer flexible hybrid in office schedules. We understand that relocating for a new role is a significant decision, and we’re here to support you every step of the way. That’s why we offer comprehensive relocation assistance to help make your transition as seamless as possible. From covering moving expenses to providing guidance on finding housing, we aim to ensure your relocation experience is stress-free. Additionally, once you’re here, you’ll enjoy a variety of on-site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed. Our goal is to create an environment where you can thrive both professionally and personally Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission. Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background, and reference checks. At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to people@merlinlabs.com Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.

Position: Computer Parts Receiving & Inspection Clerk (Electronics / Warehouse) Company: Trio Supply Chain Solutions Location: Winston-Salem, NC Type: Full-Time Trio Supply Chain Solutions is seeking a diligent and detail-oriented Computer Parts Receiving & Inspection Clerk to join our warehouse team. In this role, you will be responsible for the accurate receiving, inspection, and documentation of electronic components and computer parts. Your primary duties will involve verifying incoming shipments against purchase orders, conducting visual and functional inspections to ensure quality standards, and documenting any discrepancies or damages. A keen eye for detail is essential to identify potential issues before parts are processed for inventory or deployment. Additionally, you will collaborate closely with the inventory team to maintain accurate records of received items and assist in organizing and storing inventory efficiently. Being able to operate warehousing equipment, such as forklifts or pallet jacks, is preferred, and safety protocols must always be followed. Ideal candidates should possess a high school diploma or equivalent, with prior experience in warehouse operations or a related role being an advantage. Strong organizational skills, attention to detail, basic computer skills, and the ability to thrive in a fast-paced environment will set you apart in this position. Requirements High school diploma or equivalent; post-secondary education in a related field is a plus. Prior experience in warehouse operations, electronics, or a similar role is preferred. Strong attention to detail and accuracy in inspection and documentation. Basic computer skills for inventory management and documentation. Ability to operate warehouse equipment (e.g., forklifts or pallet jacks) is a plus; certification may be required. Strong organizational skills and the ability to work effectively in a fast-paced environment. Good communication skills to collaborate with team members and report issues. Benefits Competitive pay Health, dental, vision insurance Life insurance 401(k) + matching Paid time off Opportunities for growth and advancement