Senior AI Systems Engineer @ NVIDIA
placeTel Aviv District, Israel
attach_money $170,000
businessOn Site
scheduleFull Time
Posted 11 hours ago
Your Application Journey
Interview
Email Hiring Manager
****** @nvidia.com
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Job Details
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
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Review Python coding and system design.
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Study cloud compute and orchestration APIs.
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Practice LLM and machine learning methodologies.
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Refresh knowledge on CI/CD and distributed systems.
Behavioral Questions
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Describe teamwork in technical projects.
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Explain mentoring and conflict resolution.
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Discuss handling project setbacks.
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Share examples of innovative problem-solving.
Frequently Asked Questions
What prerequisites does NVIDIA expect for a Senior AI Systems Engineer?
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How important is LLM workflow experience for this role at NVIDIA?
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Does NVIDIA value distributed systems experience for the Senior AI Systems Engineer?
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What makes the Senior AI Systems Engineer role at NVIDIA unique?
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How can I prepare for the technical interview at NVIDIA for this role?
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