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Job Description Adjunct Professor - Computer Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach undergraduate and graduate courses in Computer Science. We are dedicated to fostering educational excellence and preparing students for success in their fields. Position Summary: Adjunct professors are responsible for delivering course materials in a learner-centered environment, engaging students in the learning process, and supporting their academic success. Responsibilities include developing and teaching a range of courses, from introductory undergraduate classes to advanced graduate-level courses in Computer Science. Key Responsibilities: Prepare syllabi and develop curricula to meet course requirements and student learning outcomes. Deliver engaging and effective instruction. Provide timely and constructive feedback on assignments and exams. Submit midterm and final grades, attendance records, and other required reports. Communicate consistently with students, faculty, and administrators. Required Qualifications: Master’s degree in Computer Science or a related field. Teaching experience in a relevant subject area. Preferred Qualifications: PhD in Computer Science. Experience teaching diverse student populations. Familiarity with online and remote teaching tools. Application Process: To apply, please submit a letter of interest and resume. Applications will be reviewed on a rolling basis until the positions are filled. Wentworth Institute of Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Inclusive Excellence at Wentworth Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration. To find out more about the Wentworth’s commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu .

OPS Consulting is seeking an experienced Computer Network Defense Analyst in Annapolis Junction, MD or Salt Lake City, UT to: Use information collected from a variety sources (e.g., intrusion detection systems, firewalls, network traffic logs, and host system logs) to identify potential vulnerabilities, respond to cyber events that occur, and defend against events that might occur. Help develop mitigations to strengthen network defenses and protect against attacks on network infrastructure devices or systems. Work with data transport, such as traditional wired networks, wireless transport (including Wi-Fi and cellular), collaborative platforms such as video teleconferencing, and the hardware and software that support it all. Required Qualifications: Bachelor's Degree in Network Engineering, System Engineering or related field. Level 1: At least 2 years demonstrated experience within the Department of Defense (DoD) as a Computer Network Defense Analyst. Level 2: At least 5 years demonstrated experience within the Department of Defense (DoD) as a Computer Network Defense Analyst. Level 3: At least 8 years demonstrated experience within the Department of Defense (DoD) as a Computer Network Defense Analyst. Level 4: At least 11 years demonstrated experience within the Department of Defense (DoD) as a Computer Network Defense Analyst. CNDAs must have experience in network or system administration. Experience with Computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, and/or systems engineering. Foreign Language may count toward experience requirements. Desired: Relevant Certs or Specialized Training would include (but not limited to): JCAC graduate, CEH, CFR, CySA+, GCIH, CNDSP Security Clearance: A current government clearance, background investigation, and polygraph are required. The Swift Group and Subsidiaries are 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, or any other protected class. Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates. At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. All About You The Department of Computer Science in the School of Science and Engineering at Saint Louis University is seeking part-time adjunct faculty on an on-going basis to teach undergraduate and graduate courses in computer science. Qualified applicants will be reviewed and placed in a pool to be contacted as openings become available. To teach at the undergraduate level, faculty must hold a degree in computer science or equivalent industry experience relevant to the subject of the course. To teach at the graduate level, faculty should hold an MS or PhD in computer science or a closely related field, or a Bachelor's degree in CS or a related field combined with at least 5 years of relevant professional experience. For a list of possible classes that we offer, please see: https://cs.slu.edu/academics/courses The Computer Science Department is a fast-growing unit that offers a range of undergraduate and graduate degrees in Computer Science, Software Engineering, and Artificial Intelligence, as well as supporting joint programs in Data Science and in Bioinformatics and Computational Biology. Our department faculty are renowned scholars and educators who help design, lead, and support these programs. They design and deliver the educational experience, and are the principal investigators in cutting-edge research. Collectively the faculty serve in leadership positions at professional organizations, publish and present their work in the top national and international venues, have created and presented innovative educational techniques, and have authored textbooks used by hundreds of institutions worldwide. Saint Louis University is a Catholic, Jesuit institution dedicated to student learning, research, healthcare, and service. The newly formed School of Science and Engineering, founded in 2022, is interdisciplinary by design – bringing together our engineering departments (Aerospace and Mechanical, Biomedical, Civil, and Electrical and Computer Engineering) with our Aviation, Computer Science, Chemistry, Physics, and Earth and Atmospheric Sciences departments. The School offers a wide range of graduate and undergraduate degrees, and our faculty hold funding from sources such as the National Science Foundation, National Institutes of Health, the Alfred P. Sloan Foundation, Siemens, and the Missouri and Illinois Departments of Transportation." Vaccine Protocol Saint Louis University requires COVID-19 vaccinations for all students, staff, and faculty who are physically present on our St. Louis campuses. As a prospective and/or a new employee at Saint Louis University, you will be/are required to comply with the University’s vaccination protocol. Proof of full vaccination is required before the start of employment in order to work at Saint Louis University. If you are not vaccinated, you are required to begin the vaccination process at the time of your first day of employment and submit proof of full vaccination within 30 days of your start date. Exemptions may be granted on the grounds of religious beliefs or medical circumstances. Failure to comply with the vaccine requirement within 30 days of an employee’s start date will result in termination of the employment. Proof of vaccine will be submitted through an online portal made available to you during your Workday onboarding tasks. Function Faculty - Adjunct Scheduled Weekly Hours: 10 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. We welcome and encourage applications from minorities, women, protected veterans, and individuals with disabilities (including disabled veterans). If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

Description When You Love the Work You Do, Any Mission Is Possible Position: Computer Analyst/Programmer, Level 4 ( 8 years of experience required) ***(Active Clearance with a Full Scope Poly Required) We’re on multiple contracts and have many opportunities. It is encouraged if applicants don’t meet all the technical requirements to still apply. Join Our Team: Investing in our employee’s growth is a cornerstone of our philosophy. Joining Tiber means access to ongoing learning opportunities, mentorship, and a supportive environment that supports professional development. We believe in providing the tools and resources for our team to thrive and excel in their careers. We recognize that our collective strength lies in the diversity of our talents. Our collaborative work environment encourages cross functional teamwork, idea sharing, and a collective pursuit of excellence. Your skills and perspectives will be integral to our shared success. Position Description: We are seeking a skilled and experienced CNO Developer to join our team. As a CNO Developer, you will play a critical role in designing, developing, and deploying tools and capabilities to support computer network operations and cybersecurity initiatives. The ideal candidate will have expertise in software development, reverse engineering, and cyber operations, with a strong understanding of network protocols, security vulnerabilities, and exploitation techniques. Desired Skills: Expertise in programming languages such as C, C++, Python, or similar, with experience in low-level programming and systems development Experience with reading and writing assembly (x86/x64) Experience with debuggers Strong understanding of computer networks, protocols, and cybersecurity principles Extensive experience with reverse engineering tools and techniques with IDA Pro, Ghidra , or similar binary analysis tools Experience with CNO development, malware analysis, and forensic analysis Experience with analyzing user-mode binaries and kernel-mod drivers Experience with Wireshark or similar network protocols The ability to learn and apply reverse engineering techniques to analyze software protocols, and systems for vulnerabilities Develop and maintain custom software and scripts to automate tasks, streamline workflows, and enhance operational efficiency Assist in vulnerability research, exploit development and malware analysis Requirements: Must be a U.S. citizen. Must hold an active clearance with a Full Scope Polygraph Bachelor’s degree in computer science, engineering, or related field 8 years of professional experience Physical Requirements: This position involves sedentary work with physical requirements expected for at least 50% of the time. Essential functions include prolonged periods of sitting, standing, walking, and talking. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. EEO Employer: Tiber Technologies is an Equal Opportunity and Affirmative Action Employer. As a company who is committed to inclusion and diversity in the workplace, it is our policy to prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, and local laws. Our hiring decisions are based solely on merit, qualifications and business needs at the time. This policy applies to all employment practices within our organization including recruiting, hiring, promotion, layoff, compensation, benefits, and training.

Computer Architect/Embedded Computing Systems Design Engineer (Lead or Senior) Company: The Boeing Company Boeing Space, Intelligence & Weapons Systems has an exciting opportunity for a Computer Architect/Embedded Computing Systems Design Engineer (Lead or Senior) to join us as part of our SI&WS Electronics design team located in El Segundo, CA. If you are a skilled computer/embedded hardware architect who is passionate about developing state-of-the-art computing systems for high-reliability aerospace applications, we have an exciting opportunity for you. As a Computer Engineer Architect on our SI&WS Electronics team at Boeing Space, Intelligence & Weapons Systems in El Segundo, CA, you will be working with a growing team to participate in architecture definition for cutting-edge embedded computing systems, including Digital PCBA, FPGA/SoC, Processor and Real-Time Embedded Software. At Boeing, we value your curiosity, your determination, and your imagination. We're looking for a talented individual who is passionate about multi-disciplinary design and wants to work on all aspects of embedded systems. You will have opportunities to collaborate with other electronics groups across the company and around the world and support the development of high-reliability computing systems for aerospace applications. Our diverse development portfolio provides exposure to the breadth of the Boeing product line, offering opportunities to learn and grow your technical competence as well as your leadership skills. As part of our team, you will be working in an agile environment, using the latest tools and methodologies, and be rewarded for your hard work and bottom-line achievements. Come join us at Boeing, where #TheFutureIsBuiltHere Position Responsibilities: Responsible for definition, development, verification, and delivery of developmental aerospace computing hardware, demonstrating a high level of design creativity and positive impact; applying expertise in FPGA/SoC/processor-based design and development, high-speed memory systems, communication interfaces, and radiation-hardening techniques, to design new hardware that meets high-reliability aerospace requirements. Participate in architecture definition for state-of-the-art embedded computing systems (Digital PCBA, FPGA/SoC, Processor and Real-Time Embedded Software) for high-reliability aerospace applications. Utilize expertise in high-speed memory systems and communication interfaces, including DDR, PCIe, Aurora, NAND, QSPI, UART, RS-422/RS-485, and Ethernet, to design, develop, and optimize embedded computing systems for high-reliability aerospace applications. Model and analyze throughput, bandwidth, and timing for FPGA/Processor/Memory/PCBA interconnects. Analyze and mitigate against radiation-induced upsets in digital logic and memory cells, and implement mitigation techniques such as error correction codes, cyclic redundancy checks, voting, redundancy, and radiation hardening to ensure high-reliability operation. Decompose high-level system requirements into hardware, software, and firmware specifications. Develop software in C/C++/Python for bare metal or RTOS implementations, as well as implementing device drivers and firmware for embedded systems. Help bring up PCBA in the lab using embedded test software and firmware, oscilloscopes, logic analyzers, and protocol analyzers. Support bring up and integration of software development platforms, HIL (Hardware in the Loop) Testbeds, engineering models, and flight hardware. Work with and across disciplines on various parts of the computer/network design. Use technical knowledge to help influence decisions over multiple teams and products. Leads analysis of customer and system requirements and development of architectural approaches and detailed specifications for various electronic products. Leads development of high-level and detailed designs consistent with requirements and specifications. Leads reviews of testing and analysis activity to assure compliance to requirements. Validates designs through various methods of review, testing and analysis with emphasis on Computer Architecture and Digital/Analog Circuit Design. Identifies, tracks and statuses technical performance measures to measure progress and ensure compliance with requirements. Coordinates engineering support throughout the lifecycle of the product. Plans research projects to develop concepts for future product designs to meet projected requirements. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final Top Secret / SCI Post-Start is required. 5 or more years of experience in Electronics design Preferred Qualifications (Desired Skills/Experience): Circuit design and analysis – with focus on Computer Architecture and Digital or Analog design Experienced with Engineering Trade studies for Space Applications Electronics test methodology Electrical or Computer Engineering degree Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Lead: $126,650 - $171,350 Summary pay range for Senior: $155,550 - $210,450 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret/SCI Clearance Post-Start is required. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Job Title: Computer Systems Analyst Clearance Required: Public Trust Clearance Work Location: Hybrid in Rockville, MD Alpha Omega is seeking a qualified Computer Systems Analyst to support National Institutes of Health (NIH) specifically the Office of Research Services/Office of Research Facilities (ORS/ORF). We are seeking an experienced Computer Systems Analyst to provide technical and administrative leadership for a team supporting software development and customer service operations. This role involves overseeing the accuracy and quality of software products, ensuring adherence to user requirements and standards, and maintaining progress in accordance with project schedules. The ideal candidate will act as a liaison between support staff, project/program managers, and end users, while preparing system status reports and contributing to successful milestone deliveries. Key Responsibilities: Provide daily direction, supervision, and guidance to IT support personnel. Review software development outputs to ensure correctness, compliance with design standards, and progress tracking. Coordinate with Project Managers and Program Managers to address user needs and ensure satisfaction. Recommend approval of system installations as needed. Prepare and deliver milestone reports and system presentations to stakeholders, including internal teams and end users. Supervise and lead customer support functions, ensuring consistent and professional service. Troubleshoot and resolve customer and technical issues. Required Qualifications: Education: Bachelor’s degree and at least one (1) year of relevant IT customer support experience OR Associate degree or high school diploma with at least three (3) years of relevant experience Strong technical skills in computer support and customer service Experience/Skills: Strong verbal and written communication skills. Public Trust Tier 2 security clearance – Moderate Risk (formerly MBI Level 5B) or the ability to obtain one. Strong communication and interpersonal skills Proven ability to supervise technical teams Customer-focused with a service excellence mindset Preferred Qualifications: Foundation Certificate in IT Service Management (ITIL) v3 or higher MTA: Microsoft Technology Associate MCSA: Microsoft Certified Solutions Associate MSCE: Microsoft Certified Solutions Expert Apple Certified Associate – Mac Integration Basics Apple Certified Support Professional CompTIA A+ Certified Professional CompTIA Network+ Certified Professional CompTIA Security+ Certified Professional Jamf Certified Tech Jamf Certified Expert Certification(s): CompTIA Security+ Certified Professional Salary and Benefit Information: The likely salary range for this position is $68,149-$129,542. This is not, however, a guarantee of compensation or salary. There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, education and certifications as well as contract provisions regarding labor categories that are specific to the position and could fall outside of this range. Application Deadline: 7/19/2025 Joining the Alpha Omega team entitles you to participate in all retirement benefits, plans of deferred compensation, health and insurance benefits, and other such benefits as set forth in the company’s policy and benefits manuals. See below, to name a few: PTO including paid parental, military, and bereavement leave Eleven (11) paid Federal holidays, five of which are floating holidays (as designated by the company’s holiday schedule each year) Health and Dental Insurance (including 100% employer paid premiums for employee coverage under the HDHP health plan) Life Insurance, STD/LTD term disability coverage, with employer paid premiums 401 (k) plan with a match that is 100% vested after you complete two years of service FSA/DFSA/HSA flexible benefit plans Annual Tuition & Professional Development Reimbursement benefit We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Culture and Values: Guided by our core values—Harmony, Engagement, Accountability, Resourcefulness, and Tenacity (HEART)— we foster a culture of innovation, collaboration, and continuous learning and are committed to delivering high-impact solutions. We recognize and reward hard work. Through our H.E.A.R.T. Awards Program, colleagues and managers can recognize each other for actions that exemplify these values. Recognized employees receive a detailed nomination highlighting their contributions, which is shared with their manager. Each quarter, select nominees have the opportunity to receive a monetary bonus as an extra thank-you for their impact. Our Company: Alpha Omega is an award-winning Federal IT solutions provider dedicated to delivering mission-enabling technology and strategic solutions across the National Security, Federal Financial, Healthcare, and Space & Science domains. Since our founding in 2016, we have grown to over 800 employees nationwide with $230m in revenue. With the January 2025 acquisitions of SeKON and Macro Solutions, we have expanded our capabilities to further support our customers in digital modernization, artificial intelligence, and cybersecurity. We are committed to supporting our agency partners as they transform their operations, delivering on our purpose to ensure the safety, security, and well-being of future generations: National Security – Supporting agencies such as the Department of Homeland Security (DHS) and the Department of State. Federal Financial – We bring deep expertise in enterprise financial systems, supporting agencies like the Securities and Exchange Commission (SEC) and the Federal Deposit Insurance Corporation (FDIC). Healthcare – Our Health IT capabilities, enhance health outcomes for the warfighter via the Defense Health Agency (DHA) and support public health initiatives at the Centers for Disease Control and Prevention (CDC), National Institutes of Health (NIH), and the Substance Abuse and Mental Health Services Administration (SAMHSA). Space & Science – We leverage technology to advance agricultural sustainability, secure our nation’s food supply, and prepare for natural disasters, working with the National Oceanic and Atmospheric Administration (NOAA) and the United States Department of Agriculture (USDA). Through strategic partnerships, intellectual property, and relentless drive for innovation, Alpha Omega is shaping the future of government technology. We are proud to be a Virginia Best Places to Work 8 times, an Inc. 5000 honoree 7 times, and a Washington Post Top Workplaces 4 times. Join us in driving transformation that secures the nation's future. Alpha Omega Integration, LLC (Alpha Omega) is an Equal Opportunity 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, or any other protected class.

Fedway is New Jersey's leading wine and spirits distributor. Servicing over 7,000 restaurants, clubs, taverns and retail stores in New Jersey. We market products that cover every category of the beverage alcohol industry and represent the world's leading distillers, wineries and importers. Our team of managers, sales agents and customer service representatives are here to ensure that you come first. Fedway Associates is seeking a Computer Support Specialist to join our Tech Support Team. This is a full-time position, paid hourly. There are alternating shifts throughout the day with other members of the team. The Computer Support Specialist position is an addition to Fedway's Sales Technology department that focuses on Help Desk support Duties/Responsibilities: Supports both computer hardware and software applications. Configures and sets up equipment including, but not limited to, desktops, laptops, printers, desk phones, and mobile devices. Assists users by answering questions and providing support promptly. Provides problem resolution, reassigning or escalating advanced inquiries to appropriate technicians or staff. Records data are required to analyze and track problems to the final solution. Prepares and presents reports related to IT problems and help desk activity for management review and action. Performs other related duties as assigned. Required Skills/Abilities: Excellent verbal and written communication skills. Proficient in Microsoft Windows and Microsoft Office Excellent organizational skills and attention to detail. Excellent interpersonal skills. Ability to explain technical information in understandable language to nontechnical staff members. Confidence to work independently and self-motivated. Education and Experience: Associates Degree or Technical School/Training 2-3 Years prior work experience is required Physical Requirements: Prolonged periods are sitting at a desk and working on a computer. Must be able to lift approximately 15 pounds at times. Compensation • pay starts at $21 an hour • Annual bonus opportunity Benefits • 401K • Paid holidays • PTO • Vacation Time • Medical, dental, vision, life insurance WE E Verify

We are seeking an innovative and highly motivated Computer System Validation (CSV) Engineer who will be part of Cellares’ Quality group and contribute significantly to the development of our advanced cell therapy manufacturing platform. The primary focus of this position is to actively lead all aspects of Quality Engineering activities in an FDA-regulated environment and ensure compliance with cGMP and GAMP 5 requirements. This is a multidisciplinary role and this individual will interface across many parts of the company (with scientists, researchers, and engineers) and will lead and drive Quality throughout the product life cycle from product development and production builds to market release. Candidates should enjoy working in a fast-paced, mission-driven environment, and be prepared to tackle a broad selection of challenges as the company grows. Responsibilities Create quality documentation, protocols, reports, specifications, templates and developing procedures to ensure a systemic process for ensuring compliance with regulatory requirements throughout the development and the software life cycle Perform independent reviews of the Computer System Validation (CSV) deliverables, from the requirements gathering phase to the retirement phase Create documentation associated with planning, intended use, user requirements, risk assessments, configuration and design specifications, design reviews, test protocols, 21 CFR Part 11 compliance assessments, requirements trace matrix, and summary reports Collaborate with cross functional teams, including external parties to establish validation plans for test methods, equipment, processes and products using appropriate techniques Review and approve changes to existing systems from a Validation perspective ensuring changes are implemented in compliance with internal procedures and external standards Perform periodic reviews for validated systems and defend the practice and outcomes of software validation Drive root cause analysis investigations and CAPAs and actively participate in continuous improvement activities with cross-functional teams Support or serve as SME during internal and external audits Establish and promote an environment that supports the Quality Policy, Data Integrity and Quality System Deep understanding of ALCOA, GAMP 5, ICH Q9 , 21 CFR Parts 210,211 and part 11 requirements for Computerized Systems including, but not limited to, manufacturing equipment, laboratory equipment, and enterprise software systems Requirements Bachelor's level degree or higher in Science, Engineering, or Software discipline 3+ years of related work experience in Software Quality Engineering and/or Computer System Validation (CSV) Experience working in an FDA-regulated industry Knowledge of Software development life cycles (SDLC) preferably with automated manufacturing and computerized lab systems Understanding of data integrity requirements and how to perform assessments Practical knowledge of 21 CFR Part 11 (electron records/electronic signature), 21 CFR Parts 210,211 and GAMP 5 Experience in supporting automated manufacturing equipment desired Must possess excellent organizational, clear verbal, and written communication skills High level of attention to detail and compliance and ability to effectively support multiple high priority deliverables at once Hands on approach, self-motivated with a passion for solving problems Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset Cellares total compensation package contains competitive base salaries, highly subsidized Medical, Dental, and Vision Plans, 401(k) Matching, Onsite lunches, and Stock options. All displayed pay ranges are approximate, negotiable, and location dependent. This is Cellares Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life-saving cell therapies. The company’s Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high-throughput platform that delivers true walk-away, end-to-end automation. Cell Shuttles will be deployed in Cellares’ Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand. The company is headquartered in South San Francisco, California with its commercial-scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world-class investors and has raised over $355 million in financing. Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process.

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world’s biggest brands. With more than 25 years of industry knowledge, F8F’s technology powers many of the AI interactions we experience every day. Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. The Training Manager will lead the development, implementation, and modernization of training programs for employees responsible for labeling and annotating EO and SAR imagery, including video formats. This role involves optimizing annotation workflows, developing best practices, maintaining high annotation accuracy, and ensuring compliance with project guidelines. This role requires expertise in AI-assisted annotation tools, regulatory compliance, and the evolution of best practices in AI-driven image analysis. The Training Manager will work closely with engineers, analysts, and policy experts to ensure that employees adhere to U.S. regulations and ethical standards governing AI-generated labels, including transparency, bias mitigation, and content authenticity. Responsibilities: Training & Development, providing structured training programs for data annotators, covering labeling techniques, accuracy improvement, and tool proficiency, using the latest F8F machine learning-powered annotation tools and automation platforms. Design and modernize curricula for annotators to label and annotate EO/SAR imagery, to include video formats. Develop specialized training for machine assisted automated object detection on SAR imagery, metadata tagging, and transparency labeling. Coordinate with platform engineering, project managers, and specialists to improve automated validation scripts for bounding box, segmentation, and object classification tasks. Provide hands-on training and mentorship to enhance workforce skills in automated image classification and AI-assisted video analysis . Partner with analysts, pod leads, and data specialists to help design upskilling pathways based on review insights and align quality training with mission goals. Implement continuous learning strategies , offering refresher courses on regulatory updates and technological advancements. Establish evaluation metrics to measure employee proficiency in AI-assisted annotation techniques. Ensure annotation approach is in compliance with President Biden’s Executive Order on AI (2023) and emerging federal/state laws governing AI-generated labels. Implement watermarking and metadata requirements in training, following the 2024 bipartisan bill mandating AI-generated content disclosure. FT Comment on the above - I think the above bullet is out of scope. I'm not sure we have a requirement to do this so recommend removing. Educate employees on bias mitigation, fairness in AI annotations , and consumer protection laws outlined by the FTC and customer requirements. Process optimization to develop best practices for efficient annotation workflows and continuously refine labeling guidelines within conditions and standards . Tool management and improvement, work alongside geospatial and AI experts to refine annotation guidelines and accuracy benchmarks, utilizing feedback loops on labeling tools and applications to enhance functionality. Monitor industry trends and integrate advanced AI techniques for annotation into curriculum updates. Stay informed on AI-driven innovations for video labeling and deepfake detection to enhance transparency. Documentation & Reporting for audits and optimization, enhance labeling procedures, generate reports on annotation performance metrics, and optimize AI-assisted segmentation models for EO/SAR imagery. Other duties as assigned. Required Qualifications: Bachelor's degree in related fields like Geographic Information Science, Geospatial-Intelligence, Computer Vision, Artificial Intelligence, and 5 - 8 years of experience in quality control programs -or- HS Diploma or equivalent and 10+ years cumulative experience in Geospatial Analysis, Geospatial Engineering, or Cartography in lieu of degree. Proven ability to develop and modernize curriculum for annotators and/or AI-assisted labeling specialists. Strong background in workforce development and training program optimization. Deep understanding of EO/SAR imagery and geospatial analytics. Expertise in performance assessment and continuous learning strategies. Proficiency in automated annotation tools, deep learning segmentation models, and metadata tagging. Proficiency in reviewing labeled imagery, spatial annotation datasets, or structured data. Ability to implement ethical labeling and bias mitigation strategies in AI-based annotation. US Citizenship Active Secret clearance Desired Qualifications: Master’s degree in degree in related fields like Geographic Information Science, Geospatial-Intelligence, Computer Vision, Artificial Intelligence and 15+ years of experience in Geospatial Engineering or GEOINT Operations -or- Bachelor's degree in previously mentioned degrees and 10+ years’ experience in Geospatial Analysis, Geospatial Engineering, or Cartography. Certifications in AI Ethics, Machine Learning, Geographic, Geospatial, or Regulatory Compliance (e.g., NIST AI Risk Management Framework, Certified GEOINT Professional, GIS Professional, ASPRS, GEOINT Professional). Extensive experience in AI-powered image and video annotation . Experience working with government agencies or defense-related AI imaging programs, IC data production standards, or government delivery workflows. Experience integrating FTC consumer protection laws and Biden’s AI Executive Order (2023) into training programs. Ability to incorporate AI advancements into training programs for image classification and video annotation. Familiarity with AI transparency laws at both federal and state levels. Knowledge of 2024 bipartisan bill mandating watermarking and metadata embedding in AI-generated content. Engagement with NIST, MIT Media Lab, or AI ethics organizations to stay updated on best practices. Active TOP SECRET We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

MICRO CENTER is the nation's leading computer and electronic device big box retailer! Our technology superstore has an industry-leading 40,000+ selection of premier computer products and the most knowledgeable staff in the business. Passion, Energy & Commitment describe life at Micro Center. We are passionate about customer service and developing long-term customer relationships. We are looking for those who are committed to these same values. We are currently seeking a self-motivated, results-oriented ASSISTANT STORE MANAGER - COMPUTER SERVICES. It is Micro Center's core promise to take care of our associates and customers which has led to our success over the last 40+ years! Click here to view our job video MAJOR RESPONSIBILITIES: Maintain orderly operation and safety of all areas of responsibility; ensure that service policies and procedures are being properly carried out at the store level Consistently achieve customer satisfaction, sales, productivity, payroll and expense goals of the service repair shop Maintain fiscal and operational controls including planning and managing the departmental budget (Service Department P&L) Through Service Department leadership, ensure all customer and/or computer issues are resolved in a timely manner and in alignment with company policy Ensure customers are served promptly and courteously and that customer satisfaction standards are met Work effectively through associates to achieve desired results regarding customer satisfaction, sales, productivity and technical solutions Ensure associates maintain appropriate technical certifications (CompTIA A+ and Apple Certification) to enable proper service of products Participate in and lead open and close procedures, including freight flow and merchandise processing as well as tracking of company assets through inventory control Serve as manager-in-charge during the absence of the General Manager or other store managers Ensure the execution of ad set and visual merchandising standards Manage staffing, orientation and training to ensure competent and certified associates are hired, trained and scheduled to properly service our customers Develop and coach associates in the areas of customer satisfaction, product knowledge, solution selling and standard operating procedures; ensure goals and results are communicated Ensure human resource issues are handled in accordance with guidelines; partner with Regional HR Manager and Store Manager when needed Perform other duties and tasks as assigned EDUCATION & EXPERIENCE: A college degree is preferred Two or more years of experience with a major big box retailer in a high-volume, 30,000+ square-foot store, preferably in a productivity-based computer or technology service and repair environment Previous experience in all aspects of retail management: driving sales, merchandising, operations, freight flow and technical customer service Experience in human resources functions and capable of hiring, retaining and coaching qualified employees Ability to execute corporate initiatives and analyze the competition Physical requirements: lift up to 50 lbs., stand for prolonged periods of time Shifts include hours before and after the store is open to the public and may also include mornings, nights, weekends and holidays Experience within the consumer electronics industry is strongly preferred, with direct accountability for achieving P&L and customer satisfaction targets MICRO CENTER OFFERS EXCEPTIONAL BENEFITS: Medical, Dental and Vision Benefits Coverage for Regular Full-Time Associates Employee Discount that includes a Friends & Family Discount Program Tuition Reimbursement & Education Discounts Paid Time Off for Regular Associates 401K Plan with Company Match Esteemed Vendor & Company Job Training Career Advancement Opportunities OUR GROWTH OPPORTUNITIES: At Micro Center, we empower our employees to set their sights high and blaze their own trails. This is a place where your future success and growth are truly a result of your own efforts and achievements. Our teams are made up of motivated individuals who work hard to advance their careers. Join our team and see how hard work, loyalty, competitive spirit and unwavering commitment to the customer can take you and your career to new places. Micro Center is an Equal Opportunity Employer.

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 Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics. The Human Interactive Driving team seeks to accelerate the path to building a much more intelligent vehicle that places humans at the center of a more evocative and safer driving experience. Under the Driving-Sensei concept, we research AI-based interactions to unlock a person’s full driving capability while simultaneously making driving safer and more enjoyable. We are looking for a Senior Human-Computer Interaction Researcher to work on our Driving-Sensei project, focusing on designing user studies, implementing prototype software and hardware, conducting user studies, analyzing data, and reporting findings through writing papers. You will also be involved in transferring research prototypes from performance driving applications to real-world teen driving scenarios both in a driving simulator as well as real vehicle platforms. Responsibilities Design and conduct user studies to evaluate the effectiveness of HCI systems in improving driving skills and enjoyment. Develop and implement prototype HCI systems that involve real-time interactions reacting to sensor inputs from a vehicle. Transfer existing research prototypes from performance driving domain to teen driving application domain. Analyze data collected from user studies (Python/R) and present findings through internally and externally published research papers and presentations Debug hardware and software interfaces from both software and hardware perspectives. Train and manage research assistants to aid in the execution of research Capture intellectual property generated through the research process in the form of invention disclosures Specify, budget, and manage recruitment activities performed by external agencies Work on-site at our Los Altos office and travel monthly to a race track for vehicle testing. Qualifications PhD in Computer Science, Robotics, or equivalent. 3+ years of experience in HCI/HMI research or human-factor-related projects in the automotive field. Hands-on approach to prototyping and coding (e.g., Python, C++, Arduino, Raspberry Pi). Strong programming skills in Python, C++, and development tools in Linux. Experience implementing interactions using machine learning algorithms, including large language models and computer vision. Ability to communicate complex concepts clearly across different audiences Have a high level of initiative and self-motivation, work without direct supervision Bonus Qualifications Working knowledge of software development using ROS2. Basic understanding of vehicle control and/or wheeled robotics. Experience in software development in a production/commercial environment. Experience in researching shared control systems. Experience working in the field of artificial intelligence including autonomous and semi-autonomous driving systems or robotics Experience working with various input and output modalities (i.e. touch, speech, haptics, displays, etc.) The pay range for this position at commencement of employment is expected to be between $170,240 and $270,000/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.

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 via high-risk, high-reward, use-inspired research. To lead a transformative shift in mobility for Toyota, we've built a world-class team in human-centred AI, human interactive driving, energy and materials, machine learning, and robotics. We are seeking a Technical Program Manager to join the Opportunity Discovery and Technology Adoption (ODTA) team—a group focused on bridging the gap between groundbreaking robotics research and real-world impact. In this role, you will enable the execution and cross-functional delivery of computer vision and robotics systems into manufacturing environments. You’ll work closely with our customers, machine learning and robotics researchers, software engineers, and commercialization/product leads to ensure alignment, manage technical dependencies, and deliver research-driven innovations that are grounded in operational reality. The team portfolio of projects includes a combination of internal hand-off, internal collaboration, and external deployment projects. Your ability to think and communicate at a systems level will be critical in enabling teams to collaborate effectively across subject areas and iterate toward scalable, production-ready solutions. The ideal candidate has a technical background in robotics or hardware/software systems and thrives at the intersection of applied research, real-world deployment, and execution excellence. Travel to U.S. manufacturing sites is expected approximately once per quarter. Responsibilities Own program structures and decision-making frameworks that enable multidisciplinary teams to move quickly, iterate collaboratively, and stay focused on delivering customer value. Coordinate with customers, researchers, engineers, and product leads to define goals, translate needs into requirements, and surface technical dependencies. Translate complex technical ideas into actionable, multi-functional roadmaps, aligning efforts with real-world constraints and long-term vision. Enable the research-to-product funnel, aligning upstream research with downstream productization and deployment. Apply technical empathy and product grounding, ensuring architectures, interfaces, and workflows are realistic, integrated, and robust. Drive clear communication of scope, priorities, breakthroughs, and status across all levels—from engineering teams to executive partners. Proactively identify, track, and mitigate risks, spanning technical, organizational, and scheduling challenges. Deliver strategic clarity while shielding teams from disruption, preserving momentum and focus. Support operational readiness and on-site integration, including occasional travel to manufacturing sites to validate systems and stay vigilant between the lab and the field. Qualifications Bachelor’s degree in computer science, robotics, electrical engineering, or a related technical field. 4–6+ years of industry experience, including 2–3 years in a hands-on technical role (e.g., software development, robotics systems, or computer vision), and additional direct experience in technical program or project management. Demonstrated ability to lead teams across technical domains and drive execution from concept to deployment. Experience managing complex systems involving both hardware and software integration. Strong technical, analytical, and quantitative skills, with the ability to use data to back up recommendations and drive decisions. Experience conceptualizing complex interrelated applications and system platforms, as well as the ability to communicate those systems to non-technical partners. Bonus Qualifications Strong understanding of machine learning, computer vision, and ML concepts. Familiarity with robotic perception, planning, or real-time systems. Knowledge of high-performance computing and cloud-based ML training pipelines. Experience coordinating across institutions, departments, or distributed teams. Exposure to agile development methodologies and experience managing risk in early innovation projects. The pay range for this position at commencement of employment is expected to be between $118,800 and $181,500/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.

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.

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a skilled and experienced Field Application Engineer to join our Customer Success team. The ideal candidate will play a pivotal role in deploying and optimizing cutting-edge computer systems and AI hardware. If you have a passion for hardware technologies, including accelerators, CPUs, GPUs, and thrive in a dynamic, hands-on technical environment, we would love to hear from you. This role is hybrid, based out of Santa Clara, CA, Austin, TX or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Responsibilities: Provide technical expertise and support for our computer systems and hardware products, focusing on system installation, configuration, and optimization. Work closely with customers to implement and integrate hardware solutions into their existing infrastructure, ensuring compatibility and high performance. Troubleshoot and resolve hardware, firmware, and software issues related to systems, AI accelerators, and OS platforms, primarily Linux. Conduct rigorous testing and validation of hardware and system performance to ensure stability and efficiency. Train clients and end-users on new technologies and hardware setups, including the use of virtual machines, containers (e.g., Docker), and job scheduling tools like Slurm. Develop and maintain documentation related to system configurations, processes, and service records. Collaborate with engineering teams to provide feedback on products and to discuss potential improvements or custom solutions. Stay updated on the latest industry trends and technologies, particularly in areas like firmware updates, driver optimizations, and hardware accelerators. Experience & Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or related field; or equivalent practical experience. 10+ years of experience with computer systems and hardware, including detailed knowledge of CPUs, GPUs, FPGAs, and other accelerators. Physically install, move, and repair system components including servers, accelerator cards, and PCIe devices. Strong understanding of Linux operating systems, including OS configuration, optimization, and administration. Knowledge of data center environments including power requirements, cooling systems, and rack configurations Hands-on experience with system software including drivers, firmware, and hardware-related software tools. Experience with electrical systems as related to computer hardware, including wiring, cabling, and cooling solutions. Eagerness to learn and grow in a fast-paced technical environment. We value practical skills and a willingness to tackle challenges just as much as formal experience. Technical proficiency with virtualization technologies, such as virtual machines and containers. Ability to troubleshoot complex hardware and software issues efficiently and provide actionable solutions. Excellent communication and customer service skills, capable of working directly with clients to understand and meet their technical needs. Willingness to travel to client sites for installations, maintenance, and troubleshooting. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government. Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process. If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

The Webb School of Engineering at High Point University is seeking part-time Adjunct Instructors in Electrical and Computer Engineering. We are looking to fill sections of Electrical and Computer Engineering courses on an as-needed basis. Successful applicants will be assigned a section for the upcoming session or be placed into our pool of adjuncts for future consideration. Teaching responsibilities will include lectures and labs in a variety of areas of the discipline, with particular interest in power and controls. Other duties include promptly communicating with students, meeting with students as necessary to facilitate learning, and collecting assessment data necessary for the ABET accreditation process. QUALIFICATIONS: Education A minimum of a master’s degree in electrical or computer engineering, or a closely related field is required; a Ph.D. and college-level teaching experience are preferred. Relevant industrial experience is also regarded as desirable. Applications should include the following items, submitted as a single document: (i) a cover letter addressing qualifications and interest in the position, (ii) curriculum vitae, (iii) an unofficial transcript with the highest awarded degree, and (iv) names and contact information for three professional references. At least one reference should be able to address the applicant’s potential or experience in teaching. For additional information, please contact Dr. Claire L. McCullough, Chair and Professor, Electrical and Computer Engineering, at cmccullo@highpoint.edu . Apply online at https://highpoint.wd1.myworkdayjobs.com/Highpoint-Faculty . High Point University does not sponsor H1-B Visas for part time positions. High Point University prohibits discrimination on the basis of race, color, national or ethnic origin, religion, sex, sexual orientation, gender identity or expression, age, disability, genetic information or veteran status and other legally protected statuses. The University encourages all applicants to apply.

Head of Public Sector Operations, Computer Vision Locations: Washington DC, St. Louis Scale's Public Sector customer base is growing rapidly, and you will be on the front lines of machine learning (ML) operations to accelerate the development of artificial intelligence (AI) applications for the Department of Defense and other national security customers. You will be a leader on Scale's Public Sector computer vision (CV) team and responsible for spearheading the operational elements of producing high-quality training data. We are looking for someone who excels at developing cross functional relationships, possesses a desire to instantiate processes that drive efficiency and quality of output, and is capable of leading high performing teams. You will: Tackle ambiguous, open-ended questions in support of high-priority outcomes, often with a broad set of technical stakeholders (engineering, analytics, product managers, geospatial experts, etc.) Manage a high-functioning team of operators and report to the Director of Delivery and Operations Lead initiatives to optimize data annotation workflows with systems analysis to drive model performance and operational efficiencies Partner with the CV Delivery Lead to shape Scale's Public Sector CV engagements, operations, and strategy You have: Active U.S. security clearance (Top Secret - SCI) 8+ years of experience in an operations, strategy, or consulting role requiring a blend of operational, strategic, and cross-functional work A deep intellectual curiosity about AI and machine learning, particularly in applications that advance national security Experience leading small teams and managing multiple, complex work streams An analytical, automation-focused mindset, able to analyze provable and traceable data to develop robust, flexible integrations and workflows with metrics-led results A strong orientation towards outcomes and a history of being scrappy when it counts An easygoing interpersonal style and ability to work and build relationships with a wide range of people Nice to haves: MBA or relevant technical degree Experience with SQL or other analytics programming languages Background in intelligence work (particularly geospatial analysis) and / or working with or within the U.S. government Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $155,000-$233,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About ARSIEM Corporation At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. We provide support to multiple agencies across the United States Government. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support. As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients. That means a career packed with opportunities to grow and the ability to have an impact on every client you work with. ARSIEM is looking for a Computer Network Operations Analyst/Engineer 3 . This position will support one of our Government clients in Annapolis Junction, MD. Responsibilities Install, configure and operate network security devices, including firewalls, intrusion detection systems, network traffic analyzers, anti-virus, anti-spyware, and commercial computer forensic tools and products. Collect on-net signatures for network security devices and identify those unique to a particular device. Evaluate CNO tools and techniques. Provide written reports on the results of evaluations. Minimum Experience Bachelor's degree in computer science, information systems, or network engineering. Eight (8) years of experience in computer science, information systems, or network engineering. Certification in MCSE, RHCE, CEH, CCNA, or CISSP. Capabilities Ability to install and configure anti-virus software and spy-ware protection software. Ability to design, write, and execute software test plans. Clearance Requirement : This position requires an active TS/SCI with a polygraph. You must be a US Citizen for consideration. Candidate Referral : Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus is $5,000, and the referrer is eligible to receive the sum for any applicant we place within 12 months of referral. The bonus is paid after the referred employee reaches 6 months of employment. ARSIEM is proud to be an Equal Opportunity and 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 federally protected class.

About ARSIEM Corporation At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. We provide support to multiple agencies across the United States Government. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support. As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients. That means a career packed with opportunities to grow and the ability to have an impact on every client you work with. ARSIEM is currently looking for a Computer Scientist 2 (Firmware-Savvy CNO Developer 2) . This position will support one of our Government clients in Fort Meade, MD. Responsibilities Work as a SAS member for Firmware development. Support the development of new and existing capabilities. Minimum Qualifications 5+ years of software development experience with a BS degree, 3+ years of experience with an MS degree, or PhD + 2 years 2+ years of specialized experience Strong proficiency in C programming Experience doing reverse engineering on diverse architectures Preferred Qualifications Experience with vulnerability research Experience analyzing or developing firmware The ARSIEM 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 laws. Benefits: For an overview of our benefits, please visit our benefits tab. https://www.arsiem.com/careers/ Original Posting Date: 2024-05-30 Clearance Requirement : This position requires an active TS/SCI with a polygraph. You must be a U.S. citizen for consideration. Candidate Referral : Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus for this position is $10,000, and the referrer is eligible to receive the sum for any applicant we are able to place within 12 months of referral. The bonus is paid after the referred employee reaches 6 months of employment. ARSIEM is proud to be an Equal Opportunity and 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 federally protected class.

The Department of Computer Science at Brandeis University seeks an instructor for the course COSI 136a: Automatic Speech Recognition, a 4 credit course, in Fall 2025. This course is open to instructor modification, within the overall focus on exploring speech recognizer core components and their underlying algorithms and surveying real applications, with coursework that involves students building and evaluating a variety of ASR-related applications using state-of-the-art models and tools. The course will be taken by intermediate and advanced students in the two year Computational Linguistics MS program, along with interested CS undergraduates and graduate students. Candidates with a PhD in hand by the start of the course or soon after in CL/NLP or a closely related field, and teaching, research, and/or industry experience in state-of-the-art advancements in NLP, will be given preference. Interested individuals should submit a cover letter, CV, a draft course syllabus, and names and contact information for two references. The deadline for first consideration is March 12, 2025. This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class")