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Director Software Engineer Gpu Jobs in California

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 ...

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 ...

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.

Senior Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$143K - $188K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

Principal Software Engineer, GPU Compute

San Mateo, CA · On-site

$153K - $206K/yr

As a Principal Software Engineer on the Compute team, you will be the technical anchor for Roblox's GPU and AI accelerator capabilities. This is a battle-tested GPU expert role focused on the machine ...

Senior Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$143K - $189K/yr

... for GPU architectures (OpenXLA, MLIR, Triton, etc.). About the job Google's software engineers ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...

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Director Software Engineer Gpu information

What is the difference between Director Software Engineer Gpu vs Software Engineering Manager?

AspectDirector Software Engineer GpuSoftware Engineering Manager
CredentialsBachelor's/Master's in CS or related, specialized GPU knowledgeBachelor's/Master's in CS or related, management experience
Work EnvironmentResearch and development, hardware/software integrationTeam leadership, project management
Industry UsageTech companies, hardware manufacturers, AI/ML firmsSoftware companies, tech firms, enterprise solutions

The main difference is that the Director Software Engineer Gpu focuses on technical leadership in GPU-related development, often with specialized hardware knowledge, while the Software Engineering Manager emphasizes team management and project delivery across various software projects. Both roles require strong technical backgrounds but differ in scope and focus.

What are the most commonly searched types of Software Engineer Gpu jobs in California? The most popular types of Software Engineer Gpu jobs in California are:
What cities in California are hiring for Director Software Engineer Gpu jobs? Cities in California with the most Director Software Engineer Gpu job openings:

GPU Software Engineer/GPU Architect

Triune Infomatics Inc

San Jose, CA • On-site

$164K - $202K/yr

Other

Re-posted 18 days ago


Job description

Role: GPU Software Engineer/GPU Architect
Location: San Jose, CA (Remote/Hybrid)
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