1

Contract Gpu Jobs (NOW HIRING)

Manager, Contract Management

Santa Clara, CA · On-site

$104K - $139K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... As a Contract Manager in Santa Clara, CA, you will play a pivotal role in crafting our business ...

L6 PDE (CONTRACT)

Santa Clara, UT · On-site

$45K - $121K/yr

L6 PDE (CONTRACT) City: Santa Clara State/Province: California Posting Start Date: 5/19/26 Wipro ... Review schematics, layout, and component selections (CPU, GPU, DDR, PCIe, VRM, NIC, storage)

next page

Showing results 1-20

Contract Gpu information

See salary details

$41K

$106K

$139K

How much do contract gpu jobs pay per year?

As of Jun 19, 2026, the average yearly pay for contract gpu in the United States is $106,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is the difference between Contract Gpu vs Contract Data Scientist?

AspectContract GpuContract Data Scientist
Required CredentialsGPU certifications, technical skills in GPU programmingStatistics, programming, data analysis certifications
Work EnvironmentTech companies, research labs, AI firmsTech firms, finance, healthcare, consulting
Employer & Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights

Contract Gpu roles focus on GPU hardware and software expertise for AI and machine learning projects, while Contract Data Scientist roles emphasize data analysis, statistical modeling, and insights. Both are in tech-driven industries but serve different technical functions.

What are Contract GPU jobs?

Contract GPU jobs are temporary or project-based positions that require expertise in graphics processing units (GPUs). These jobs often involve developing, optimizing, or deploying GPU-accelerated applications, such as in machine learning, scientific computing, game development, or rendering. Contract workers may be hired by companies for specific tasks that need specialized knowledge in GPU programming using tools like CUDA or OpenCL. These roles can be remote or on-site and typically last for the duration of a particular project or set timeframe.

What are the key skills and qualifications needed to thrive as a Contract GPU Engineer, and why are they important?

To thrive as a Contract GPU Engineer, you need a strong background in computer science, GPU architecture, and parallel programming, often supported by a degree in a relevant field and prior experience with graphics hardware. Familiarity with tools and frameworks such as CUDA, OpenCL, DirectX, Vulkan, and performance profiling utilities is typically required. Excellent problem-solving, time management, and communication skills are crucial for collaborating with diverse teams and meeting project deadlines. These competencies ensure efficient development, optimization, and deployment of GPU-accelerated solutions in dynamic contract environments.

What are some common challenges faced by professionals working in contract GPU roles, and how can they address them?

Professionals in contract GPU roles often encounter challenges such as rapidly evolving hardware and software standards, tight project timelines, and the need to quickly adapt to different team environments. Staying updated with the latest GPU technologies and frameworks is essential, as is developing strong communication skills to collaborate effectively with full-time team members and stakeholders. To address these challenges, leveraging online resources, participating in relevant forums, and proactively seeking feedback can help contract GPU specialists deliver high-quality results and integrate smoothly into diverse project teams.
More about Contract Gpu jobs
What cities are hiring for Contract Gpu jobs? Cities with the most Contract Gpu job openings:
What are the most commonly searched types of Gpu jobs? The most popular types of Gpu jobs are:
What states have the most Contract Gpu jobs? States with the most job openings for Contract Gpu jobs include:
Graphics Processing Unit (GPU) Engineer - TS/SCI with Security Clearance

Graphics Processing Unit (GPU) Engineer - TS/SCI with Security Clearance

Sunayu, LLC

Bethesda, MD

$149K - $185K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Sunayu, LLC is looking for a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize GPU clusters that power enterprise AI for the mission customers. This is a 100% on-site position. Responsibilities: GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency, and feature requirements.
Operating System Integration: Work closely with AI/ML engineers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, reliability, and performance. Provide regular maintenance and updates. Performance Optimization: Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers. Tooling and Automation: Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments. Leverage scripting and configuration tools such as Bash, Python, Ansible, Puppet, and Salt.
Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards. You Bring Bachelor's or higher degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with at least 12 years of related technical experience. Additional years of experience may be considered in lieu of a degree.
10+ years of relevant systems engineering experience
Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, L4s).
Knowledge of enterprise server components (storage/network controllers, HBA, SSDs).
Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle, and Rocky).
Excellent problem-solving skills and the ability to collaborate within a team.
Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance Active TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.
US Citizenship is required due to the nature of the government contracts we support. Preferred Qualifications Experience with Kubernetes cluster management and AI/ML workflow orchestration (Argo, Airflow, and Kubeflow).
Familiarity with GPU virtualization and cloud computing.
Experience with Prometheus/Grafana for monitoring.
Knowledge of distributed resource scheduling systems (Slurm (preferred), LSF, etc.). Who We Are Sunayu, LLC serves as a premier technology partner to the Defense and Intelligence communities, delivering mission-critical engineering solutions across the nation. Our operations are anchored in a commitment to trust, accountability, and ethical transparency, ensuring the high-performance outcomes necessary to protect our country's most vital interests. Culture Our strength lies in our community: Our team prioritizes collaboration, professional growth, and encourages open communication. At Sunayu, we don't just secure the mission—we grow together. Career Development We support and encourage our team members to continue their professional growth by providing company-reimbursed training and continuing education of up to $5,000 per year. We also participate in many industry conferences and events where we share our expertise and experiences. Pay Rate Salary range considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills, as well as market and business considerations when extending an offer. Benefits * 3 Medical Plan Options * Dental and Vision * FSA, DCFSA, HSA * Life/AD&D Insurance * Short-Term & Long-Term Disability * Employee Assistance Program (EAP) * Training and Educational Assistance * Paid Time Off (PTO) * 11 Federal holidays * 401k plan with up to a 6% match (100% immediate vesting) Equal Opportunity Employer Sunayu, LLC 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, gender expression, national origin, age, protected veteran status, disability status, marital status, genetic information, medical condition, or any other characteristic protected by law.