Senior Deep Learning Systems Architect
$224,000 - $356,500 USD yearly
Originally posted 15 July 2026 by the employer.
About the role
NVIDIA is seeking a Senior Deep Learning Systems Architect to design hardware accelerator and processor architectures for machine learning and data analytics algorithms across mobile, embedded, and datacenter platforms.
What you'll do
- Contribute to architecture features for GPUs and AI systems.
- Track deep learning research and collaborate with deep learning researchers, hardware architects, and software engineers.
- Co-design architecture for AI systems across conception, specification, and prototyping.
- Analyze AI and deep learning workloads, map them to underlying hardware and systems, and identify performance bottlenecks and architectural improvements.
- Conduct first-principles analyses of deep learning techniques and system optimizations, build analytical models, implement prototypes, and benchmark designs.
What you'll need
- MS (or equivalent experience) or PhD degree in Computer Science, Computer Architecture, Electrical Engineering, or a related field with 10+ years of relevant work experience (or equivalent experience substituting for an advanced degree).
- Deep learning background covering deep neural network (DNN) fundamentals, DNN adaptation and training, and code development for training frameworks such as PyTorch, TensorFlow, or JAX.
- Technical experience in numerical analysis, performance analysis, performance optimization, and computer architecture.
- Programming fluency in C++ and Python.
Skills: hardware accelerator, processor architectures, deep learning, GPU computing, machine learning
More semiconductor jobs: NVIDIA jobs · AI chip design jobs · California jobs
This role has been open 107 days — well above the 92-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
478
|
Median days open
92 d
|
Category median salary (all employers)
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (478 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 102 | 478 |
| Open roles in the wider Software, Firmware & Systems family | 1117 | 6361 · 144 employers |
| Median days open | 74 d | 92 d (−18 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: hardware accelerator, processor architectures, deep learning, GPU computing, machine learning
Who's hiring in this category
- Qualcomm · 95 open roles · median 122 d
- NVIDIA (this employer) · 88 open roles · median 66 d
- AMD · 32 open roles · median 114 d
- Mobileye · 19 open roles · median 89 d
- Micron Technology · 18 open roles · median 74 d
- Analog Devices · 15 open roles · median 49 d
How we counted: 478 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 31 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.