Architect – AI-Powered Performance Verification Automation
Originally posted 1 September 2026 by the employer — open 21 days.
About the role
What you'll do
- Automate verification workflows by building AI/ML-based tools that generate, triage, and analyze performance test cases and results.
- Develop intelligent agents that can identify performance regressions, root-cause failures, and recommend corrective actions.
- Integrate LLM-based assistants into existing verification infrastructure to enable natural-language querying of results, specs, and coverage data.
- Design data pipelines to collect, curate, and label verification data for model training and continuous improvement.
- Collaborate with verification engineers to understand pain points, define automation priorities, and validate AI-driven solutions.
- Establish metrics and dashboards to measure automation impact (cycle time reduction, coverage improvement, engineer productivity).
What you'll need
- B.Tech/M.Tech/PhD in Electrical Engineering, Computer Science, or a related field.
- 3+ years of experience in hardware verification, performance validation, or EDA tool development.
- Strong programming skills in Python; familiarity with C/C++, SystemVerilog/UVM is a plus.
- Hands-on experience with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn) or LLM APIs (OpenAI, NVIDIA NIM/NeMo).
- Understanding of performance verification methodologies (benchmarking, profiling, regression analysis).
- Experience with CI/CD pipelines and infrastructure automation.
Nice to have
- Experience applying ML to EDA or verification problems (e.g., coverage closure, bug prediction, test generation).
- Familiarity with RAG architectures, prompt engineering, and agentic AI frameworks (LangChain, CrewAI, etc.).
- Knowledge of NVIDIA GPU/SoC architecture or similar complex hardware platforms.
- Published work or patents in AI-for-verification or related domains.
Skills: performance verification, AI and automation, ML-based tools, LLM-based assistants, hardware verification
This role has been open 21 days — well below the 67-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
522
|
Median days open
67 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (522 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 84 | 522 |
| Open roles in the wider Software, Firmware & Systems family | 963 | 5873 · 143 employers |
| Median days open | 62 d | 67 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: performance verification, AI and automation, ML-based tools, LLM-based assistants, hardware verification
Who's hiring in this category
- Qualcomm · 107 open roles · median 97 d
- NVIDIA (this employer) · 86 open roles · median 68 d
- AMD · 46 open roles · median 60 d
- Micron Technology · 32 open roles · median 40 d
- Mobileye · 25 open roles · median 54 d
- Analog Devices · 14 open roles · median 25 d
How we counted: 522 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 22 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.