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What you’ll be doing:
Serve as an expert in how to make use of AI-assisted code development and code review tools.
Work with simulator architects to identify how to improve their AI-assisted coding experience by providing more context to the AI-tools with custom MCP-agents.
Collaborate with hardware architects and simulation architects to explore agentic workflows for automatically generating simulator assets from architecture specifications.
Collaborate with test development engineers to build AI-based workflows for test generation.
Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.
What we need to see:
MSc or PhD in Data Science, Computer Science/Engineering, Electrical Engineering, or equivalent experience.
5+ years of industry or research experience.
Deep knowledge of AI-assisted coding techniques, and experience with AI-coding frameworks like Cursor, Claude Code, GitHub Copilot, or similar.
Well versed in building MCP agents to help coding tools navigate large code bases.
Practical experience of AI-assisted code review.
Deep practical knowledge of LLMs, DL/ML, and Agent development.
Strong background in implementing AI solutions to solve real-world engineering problems.
Strong analytical, communication, and interpersonal skills.
Ways to stand out from the crowd:
Background in computer architecture or hardware development.
Experience with training/fine-tuning custom models, building multi-agent systems, retrieval augmented generation (RAG) pipelines, and vector databases.
Hands-on experience with NVIDIA Inference Microservices (NIMs).
You will also be eligible for equity and .
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