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Contract Software Engineer Gpu Jobs (NOW HIRING)

Cohere

Software Engineer, GPU Infrastructure (HPC)

$110K - $144K/yr

The Staff Software Engineer will build and operate GPU/TPU superclusters, collaborating closely with AI researchers to enhance infrastructure for AI workloads. Responsibilities : • Build and scale ...

Nvidia

System Software Engineer - GPU and SOC

Redmond, WA · On-site

$193K - $229K/yr

As a GPU/SOC system software engineer, you will work with a team of very dedicated software and hardware engineers involving a wide variety of technologies. As someone who is hardworking and ...

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$205.5K

How much do contract software engineer gpu jobs pay per year?

As of Aug 18, 2026, the average yearly pay for contract software engineer gpu in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Contract Software Engineer Gpu vs Contract Software Engineer Cloud?

AspectContract Software Engineer GpuContract Software Engineer Cloud
Required CredentialsProficiency in GPU programming, CUDA, OpenCLExperience with cloud platforms, APIs, and cloud-specific tools
Work EnvironmentDeveloping high-performance GPU applications, often on specialized hardwareBuilding and deploying applications on cloud infrastructure, remote environments
Employer & Industry UsageTech companies, AI, gaming, scientific computingCloud service providers, SaaS companies, enterprise solutions
Search & Comparison IntentLooking for GPU-focused software engineering rolesSeeking cloud-based software engineering opportunities

The main difference between Contract Software Engineer Gpu and Contract Software Engineer Cloud lies in their focus areas. GPU roles emphasize high-performance computing and specialized hardware, while cloud roles focus on deploying and managing applications in cloud environments. Both require strong software development skills, but their tools and work settings differ significantly.

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Contract Software Engineer Gpu jobs near you
Infographic showing various Contract Software Engineer Gpu job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

System Software Engineer -- GPU & Accelerated Compute

Sunday

Redwood City, CA • On-site

$211K - $251K/yr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Sunday is developing personal robots to reclaim the hours lost to repetitive tasks, aiming to make generalized robots broadly accessible. They are seeking a System Software Engineer focused on GPU and accelerated compute to own the accelerated compute layer of their ML & Robotics Infra, ensuring efficient model execution and GPU scheduling for real-time robotic systems.
Responsibilities:
• You’ll own and contribute to the accelerated compute layer of the ML & Robotics Infra, including:
• Efficient model execution and switching: Reduce gpu kernel launch overheads and make swapping between models on the same device fast and predictable
• GPU scheduling and time-slicing: Arbitrate GPU access across concurrent users (model inference, SLAM, and other robotics applications) with predictable latency
• Camera pipeline: Drive low-latency transfer of camera frames into GPU memory, integrating with HW accelerate encode/decode (NVDEC/NVENC) where appropriate
• CPU ↔ GPU data transfer: Build efficient, low-overhead data movement between host and device, including pinned memory, zero-copy paths, and asynchronous transfer patterns
• CPU/GPU synchronization: Design synchronization primitives and patterns that minimize stalls and keep inference pipelines full
Qualifications:
Required:
• 2+ years of experience developing gpu systems software
• Strong proficiency in CUDA and a systems language such as C++, C, or Rust
• Solid understanding of GPU architecture, GPU workloads, and the tradeoffs involved in time-slicing and sharing the device across users
• Hands-on experience with the CUDA ecosystem: CUDA runtime API, CUDA Graphs, and CUDA IPC
• Familiarity with GPU sharing mechanisms such as MPS and MIG
• Experience with GPU profiling tools such as Nsight Systems and Nsight Compute
• Solid Linux fundamentals: scheduling, IPC, memory management, and performance tuning
Preferred:
• Contributions to CUDA libraries or other GPU programming libraries
• Experience with camera pipeline integration and NVDEC/NVENC
• Experience optimizing model inference on embedded GPU platforms (e.g., Jetson)
• Experience with observability and tracing for GPU-accelerated workloads
Company:
Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to assist with household tasks. Founded in 2024, the company is headquartered in Mountain View, USA, with a team of 51-200 employees. The company is currently Early Stage.

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