Senior Software Development Engineer - CA, San Jose, United States
Originally posted 24 August 2026 by the employer.
Develop and optimize software for AI and GPU computing platforms.
About the role
This role involves developing and optimizing software for AI and GPU computing platforms. You will work across GPU kernel development, performance optimization, AI frameworks, runtime systems, and compiler technologies.
What you'll do
- Develop and optimize GPU kernels for AI and compute workloads.
- Analyze and improve GPU performance, including compute utilization, memory bandwidth, cache efficiency, and kernel execution.
- Collaborate with AI framework, runtime, library, and hardware teams to improve end-to-end workload performance.
- Profile, benchmark, and debug large-scale AI workloads on AMD GPU platforms.
- Support compiler-driven optimizations and code generation using LLVM and MLIR-based technologies.
- Improve performance analysis, testing, benchmarking, and automation infrastructure.
- Enable and optimize new GPU hardware capabilities through software innovation.
- Apply AI-assisted development tools to improve productivity, debugging, and optimization workflows.
What you'll need
- Strong experience in GPU programming, performance analysis, and systems software development.
- Understanding of how AI workloads execute on modern GPU hardware and ability to identify performance bottlenecks across kernels, runtime, libraries, and compiler-generated code.
- Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline.
Nice to have
- Strong C/C++ development skills.
- Experience with HIP, CUDA, OpenCL, or other GPU programming models.
- Strong understanding of GPU architecture, parallel programming, memory hierarchy, synchronization, and performance optimization.
- Hands-on experience profiling and optimizing AI, machine learning, HPC, or graphics workloads.
- Experience with performance analysis tools and benchmarking methodologies.
- Knowledge of LLVM, MLIR, compiler optimization, or code generation techniques.
- Experience with AI frameworks such as PyTorch, ONNX Runtime, TensorFlow, or similar ecosystems.
- Strong problem-solving and debugging skills across software and hardware stacks.
Skills: GPU kernel development, performance optimization, AI frameworks, runtime systems, compiler technologies
This role has been open 51 days — below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
231
|
Median days open
56 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (231 roles · 20 employers) |
|---|---|---|
| Open roles in this specialty | 52 | 231 |
| Open roles in the wider Software, Firmware & Systems family | 404 | 6127 · 145 employers |
| Median days open | 64 d | 56 d (+8 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: GPU kernel development, performance optimization, AI frameworks, runtime systems, compiler technologies
Who's hiring in this category
- NVIDIA · 117 open roles · median 55 d
- AMD (this employer) · 53 open roles · median 65 d
- Qualcomm · 19 open roles · median 106 d
- Intel Corporation · 17 open roles · median 6 d
- Arm Holdings · 5 open roles · median 112 d
- d-Matrix · 2 open roles · median 120 d
How we counted: 231 open Infrastructure/Platform Software (GPU Software Stack) roles from 20 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.