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Contract Gpu Jobs (NOW HIRING)

Mastech Digital

GPU RTL/FW Engineer

San Jose, CA · Remote

$120/hr

This is a Contract position, and the client is looking for someone to start immediately. Duration ... GPU RTL/FW Engineer Primary Skills: Engineering Role Description: The GPU RTL/FW Engineer must have ...

Base-2 Solutions

GPU Systems Engineer 3

Bethesda, MD · On-site

S. citizenship is required due to the nature of the government contracts supported. • DoD 8570.11 ... with GPU virtualization and cloud computing. • Experience with Prometheus and Grafana for ...

Base-2 Solutions

GPU Systems Engineer 4

Bethesda, MD · On-site

S. citizenship is required due to the nature of the government contracts supported. • DoD 8570.11 ... with GPU virtualization and cloud computing. • Experience with Prometheus and Grafana for ...

Xoriant Corporation

GPU Project Manager

Austin, TX

Austin, TX Duration: 6+ months contract Role and Responsibilities As a GPU HW Project Manager, you will contribute the successful delivery of full line of GPU solutions designed by SARC/ACL. You will ...

SF Compute

HPC/ GPU Cluster Architect

San Francisco, CA · On-site

$220K - $300K/yr

But what if companies could exit their contract by selling it back to the market? Otherwise, as AI ... About the Role GPU clusters are some of the most performant computers on the planet. Even smaller ...

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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.
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Contract Gpu jobs near you
GPU Software Engineer/GPU Architect

GPU Software Engineer/GPU Architect

Triune Infomatics Inc

San Jose, CA

$164K - $202K/yr

Other

Posted 25 days ago

Job description

Role: GPU Software Engineer/GPU Architect
Location: San Jose, CA
Duration: Long-term >> ongoing contract
 
Overview: We're looking for a strong GPU Software Engineer/GPU Architect to join a highimpact engineering team working on nextgeneration AI, GPU, and semiconductor technologies. This role focuses on GPU kernel development, memory architecture, and integration with modern inference systems such as vLLM and SGLang. You'll work onsite in San Jose, collaborating closely with a team of engineers building highperformance GPUaccelerated systems.
  • Develop and optimize CUDA/ROCm kernels for AI workloads
  • Work with HBM, memory hierarchy, thread scheduling, and P2P communication
  • Integrate GPU kernels with vLLM, SGLang, and other inference servers
  • Build highperformance components in C++ and Python
  • Support AI frameworks such as PyTorch and TensorFlow
  • Optimize multiGPU scaling, KVcache, and attention kernels
  • Profile and debug GPU workloads using Nsight, rocprof, etc.
  • Collaborate with crossfunctional GPU, AI, and semiconductor teams
Required Skills:
  • Strong experience with CUDA, ROCm/HIP, OpenCL, or MPI
  • Deep understanding of GPU architecture, HBM, memory models, and thread hierarchies
  • Handson experience with AMD/NVIDIA GPU software stacks
  • Expertlevel C++ and Python
  • Experience with PyTorch or TensorFlow
  • Experience with vLLM, SGLang, or similar inference systems
Preferred Skills:
  • RDMA, RoCE, InfiniBand, or Infinity Fabric
  • Distributed inference/training or HPC experience
  • Semiconductor or hardwareadjacent experience

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