Senior High Performance AI Engineer, Agentic AI
$152,000 - $241,500 USD yearly
Originally posted 11 September 2026 by the employer — open 9 days.
Focus on agentic AI systems for the CUDA ecosystem.
About the role
This role involves building and optimizing agentic AI systems for the CUDA ecosystem.
What you'll do
- Design, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration.
- Build the data, environments, verification, reward, and evaluation systems needed to continuously improve model and agent capabilities.
- Co-design and optimize agentic systems across NVIDIA's software and hardware stack, from models and inference through compilers, runtimes, libraries, kernels, and GPUs.
What you'll need
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- 4+ years of relevant industry or academic experience in AI systems, machine learning, compilers, or high-performance computing.
- Hands-on experience in one or more of the following: agent systems, coding agents, reinforcement learning, or modern AI inference systems.
- Strong C/C++, Rust, and Python programming skills, with solid software engineering fundamentals.
- Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms, and the ability to work effectively across system boundaries.
Nice to have
- Track record of building high-impact coding agents, autonomous software-engineering systems, or developer tools.
- Hands-on experience optimizing and deploying with TRT-LLM, SGLang, vLLM, or Transformer Engine.
- Deep expertise in GPU systems and performance optimization.
- Publications or open-source leadership in deep learning, agentic AI, reinforcement learning, compilers, high-performance computing, or AI systems.
Skills: agentic AI systems, CUDA ecosystem, high-performance computing, GPU programming, TRT-LLM
This role has been open 8 days — well below the 66-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
517
|
Median days open
66 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (517 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 85 | 517 |
| Open roles in the wider Software, Firmware & Systems family | 939 | 5787 · 143 employers |
| Median days open | 66 d | 66 d (same as this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: agentic AI systems, CUDA ecosystem, high-performance computing, GPU programming, TRT-LLM
Who's hiring in this category
- Qualcomm · 106 open roles · median 98 d
- NVIDIA (this employer) · 85 open roles · median 66 d
- AMD · 43 open roles · median 61 d
- Micron Technology · 32 open roles · median 38 d
- Mobileye · 25 open roles · median 52 d
- Analog Devices · 14 open roles · median 23 d
How we counted: 517 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 20 Sept 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.