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Temporary Software Engineer Gpu Jobs (NOW HIRING)

Waymo

Software Engineer, GPU

Mountain View, NY

In this hybrid role, you will report to a Senior Software Engineer. You will: * Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across ...

Waymo

Software Engineer, GPU

Mountain View, CA · On-site

$204K - $259K/yr

In this hybrid role, you will report to a Senior Software Engineer. You will: * Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across ...

Waymo

Software Engineer, GPU

Mountain View, CA · On-site +1

$204K - $259K/yr

In this hybrid role, you will report to a Senior Software Engineer. You will: * Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across ...

Waymo

Software Engineer, GPU

Manhattan, NY · On-site +1

$204K - $259K/yr

In this hybrid role, you will report to a Senior Software Engineer. You will: * Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across ...

Google

Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$163K/yr

Google is seeking a Software Engineer specializing in GPU Performance to develop next-generation technologies that enhance how users interact with information. The role involves building ...

Nvidia

System Software Engineer - GPU

Santa Clara, CA

$203K - $240K/yr

We are seeking software engineers to work on the architecture of NVIDIA GPU Diagnostic SW. Our charter is to develop the most demanding applications a GPU or high-performance computing server will ...

Google

Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$164K/yr

... software development in one or more programming languages, or 1 year of experience with an advanced degree. * Experience low-level GPU programming (CUDA, Triton, CUTLASS, etc.) and performance ...

NVIDIA

System Software Engineer - GPU

Santa Clara, CA

$201K - $238K/yr

We are seeking a System Software Engineer to work on next-generation computing and graphics products. Our charter is to build low level GPU testing frameworks to validate GPUs early in the life cycle.

Nvidia

System Software Engineer - GPU

Santa Clara, CA · On-site

$203K - $240K/yr

We are seeking a System Software Engineer to work on next-generation computing and graphics products. Our charter is to build low level GPU testing frameworks to validate GPUs early in the life cycle.

Google

Staff Software Engineer, GPU Performance

Kirkland, WA · On-site

$159K/yr

... software design and architecture. • Experience with modern GPU architectures (NVIDIA, AMD, or ... Preferred : • Master's degree or PhD in Engineering, Computer Science, or a related technical ...

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$63.5K

$147.5K

$205.5K

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

As of Jun 9, 2026, the average yearly pay for temporary 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 are the key skills and qualifications needed to thrive as a Temporary Software Engineer GPU, and why are they important?

To thrive as a Temporary Software Engineer GPU, you need a solid background in computer science, experience with GPU programming (such as CUDA or OpenCL), and proficiency in languages like C++ or Python. Familiarity with GPU development environments, debugging tools, and version control systems, along with any relevant certifications, is highly valuable. Strong problem-solving abilities, adaptability, and effective teamwork skills help set candidates apart in this fast-evolving field. These skills enable efficient development, optimization, and integration of GPU-accelerated applications, which is crucial for meeting project deadlines and technical goals.

What does a Temporary Software Engineer GPU do?

A Temporary Software Engineer GPU is responsible for designing, developing, and optimizing software that interacts with graphics processing units (GPUs), typically for a specific project or short-term period. Their duties may include writing code to improve GPU performance, working on graphics or compute-intensive applications, and collaborating with hardware and software teams to ensure efficient GPU utilization. These roles are often contract-based and require strong programming skills in languages such as C++ or CUDA, as well as a solid understanding of GPU architectures.

What are the typical projects a Temporary Software Engineer GPU might work on, and how do they collaborate with permanent team members?

As a Temporary Software Engineer GPU, you can expect to be assigned to specific, time-bound projects such as optimizing graphics performance, supporting new hardware integration, or debugging GPU-related issues. You’ll often work closely with permanent engineers, participating in code reviews, daily stand-ups, and cross-functional meetings to ensure alignment and knowledge transfer. Collaboration is key, as you may need to quickly get up to speed with existing codebases and tools, and contribute solutions that fit seamlessly into larger, ongoing projects. The role offers a fast-paced environment where adaptability and strong communication skills are highly valued.
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Temporary Software Engineer 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 15 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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