Senior AI Systems Engineer
@ NVIDIA

Tel Aviv District, Israel
$170,000
On Site
Full Time
Posted 11 hours ago

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About the Role

Join NVIDIA as a Senior AI Systems Engineer and lead the development of advanced systems that automate the hardest parts of chip design. In this role, you will work with cutting-edge AI technologies in VLSI software development and collaborate closely with senior staff.

What You'll Be Doing

  • Develop systems for data collection, analysis, and orchestration using NVIDIA's cloud compute.
  • Lead in critical technology decisions and mentor team members.
  • Engage in code reviews and collaborate across teams.
  • Contribute innovative ideas in a startup-inspired environment with rigorous quality standards.

What We Need To See

  • BS/MS in CS/EE (or equivalent) with strong fundamentals.
  • 5+ years production experience in Python and software engineering practices.
  • Experience with agentic LLM workflows and classical ML techniques.
  • Hands-on with SQL/NoSQL, data pipelines, and CI/CD practices.

Ways To Stand Out

  • Knowledge in VLSI/EDA software methodologies.
  • Strong foundation in data structures and algorithms.
  • In-depth understanding of LLM operations.
  • Experience with distributed systems, Kubernetes, and Git.

Key Skills/Competency

  • Python
  • AI
  • LLM
  • Cloud
  • CI/CD
  • SQL/NoSQL
  • Data Analysis
  • VLSI
  • EDA
  • Distributed Systems

How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize Resume: Tailor skills and projects to NVIDIA requirements.
  • Research NVIDIA: Understand their AI and chip design innovations.
  • Highlight Experience: Emphasize Python and LLM workflow experience.
  • Prepare Examples: Discuss past projects during interviews.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding and system design.
Study cloud compute and orchestration APIs.
Practice LLM and machine learning methodologies.
Refresh knowledge on CI/CD and distributed systems.

Behavioral Questions

Describe teamwork in technical projects.
Explain mentoring and conflict resolution.
Discuss handling project setbacks.
Share examples of innovative problem-solving.

Frequently Asked Questions