Senior AI Engineer, AI tools - CA, Santa Clara, United States
$224,000 - $356,500 USD yearly
Originally posted 9 October 2026 by the employer.
About the role
This role involves evaluating and applying AI tools to NVIDIA engineering workflows to improve efficiency and productivity.
What you'll do
- Evaluate emerging and established AI tools, agent harnesses, and models on NVIDIA engineering workflows.
- Design, implement, and validate reference workflows for coding, testing, code review, and troubleshooting using tools like Codex, Claude, and Cursor.
- Introduce technologies enabling massively parallel systems to improve turnaround time.
- Optimize for performance and cost by identifying bottlenecks across training, evaluation, and testing workflows.
- Collaborate with AI product vendors to evaluate new capabilities, influence product roadmaps, and introduce useful features.
- Provide AI tool and model selection guidance, configurations, workflow examples, and hands-on training.
What you'll need
- MS in EE/CS or equivalent experience with 12+ years of work experience.
- Strong understanding of large language models (LLMs), machine learning, and agentic AI.
- Hands-on experience evaluating AI tools or models and applying LLMs to software engineering workflows, including experiment design, benchmark development, reproducibility, and failure analysis.
- Strong software engineering skills in Python, with experience in Java or Go and extensive scripting and automation experience.
- Experience building evaluation pipelines, developer tooling, or full-stack applications, including API integration, data management, and deployment in cloud or enterprise environments.
- Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, or Ansible.
- Good understanding of distributed systems, microservice architecture, and REST APIs.
- Familiarity with software development, testing, code review, and build workflows.
Skills: AI tools, LLMs, engineering workflows, software development, Python
This role has been open 1 day — well below the 44-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI EDA Design
|
Open roles in category
102
|
Median days open
44 d
|
Median salary
$180k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (102 roles · 30 employers) |
|---|---|---|
| Open roles in this specialty | 6 | 102 |
| Open roles in the wider Software, Firmware & Systems family | 949 | 6028 · 146 employers |
| Median days open | 137 d | 44 d (+93 d vs this employer) |
| Median salary (USD postings) | — | $180k |
Skills observed across this category: AI tools, LLMs, engineering workflows, software development, Python
Who's hiring in this category
- Micron Technology · 14 open roles · median 34 d
- Applied Materials · 11 open roles · median 53 d
- KLA Corporation · 10 open roles · median 45 d
- Cadence Design Systems · 8 open roles · median 25 d
- Lam Research · 8 open roles · median 15 d
- Keysight Technologies · 7 open roles · median 32 d
How we counted: 102 open Software Engineering Semiconductor (AI EDA Design) roles from 30 employers tracked in the SemiconductorJobs index, counted 11 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.