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Weekend Software Engineer Gpu Jobs (NOW HIRING)

Enthusiasm for developing the complete GPU software stack, from the hardware level to real-world ... level programming * Familiarity with GPU libraries such as Thrust, CUB, CUTLASS, or Eigen

Software Engineer, GPU

Mountain View, CA · On-site

$204K - $259K/yr

Enthusiasm for developing the complete GPU software stack, from the hardware level to real-world ... level programming * Familiarity with GPU libraries such as Thrust, CUB, CUTLASS, or Eigen

As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You'll work in a fast-paced ...

THE ROLE We're seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state‑of‑the‑art machine learning ...

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 ...

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Weekend Software Engineer Gpu information

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$63.5K

$147.5K

$205.5K

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

As of Sep 5, 2026, the average yearly pay for weekend 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 Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

What cities are hiring for Weekend Software Engineer Gpu jobs?

Cities with the most Weekend Software Engineer Gpu job openings:

What are the most commonly searched types of Software Engineer Gpu jobs?

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What states have the most Weekend Software Engineer Gpu jobs?

States with the most job openings for Weekend Software Engineer Gpu jobs include:

GPU Software Engineer/GPU Architect

Triune Infomatics Inc

San Jose, CA • On-site

$164K - $202K/yr

Other

Re-posted 12 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