Description
NVIDIA is seeking a Staff Platform Engineer, Design Automation to join a small team that builds and operates software platforms for large-scale semiconductor design workflows. The successful candidate will work at the intersection of distributed systems, developer tooling, workflow orchestration, data infrastructure, and semiconductor design methodology.
Responsibilities:
- Architect, build, and operate AI-enabled platforms for large-scale VLSI workflows.
- Develop reliable backend services, APIs, data models, event-driven systems, and workflow orchestration.
- Create intuitive web applications for launching, monitoring, debugging, and analyzing design jobs.
- Apply LLMs, RAG, agents, and automation to accelerate debugging, recommendations, and operational support.
- Build telemetry, analytics, and dashboards for workflow health, performance, and quality of results.
- Collaborate with EDA, design methodology, and infrastructure teams to improve productivity and tapeout reliability.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- 12+ years of software engineering experience, including the design and operation of distributed production systems.
- Strong Python and JavaScript/TypeScript development skills, with experience building backend services, APIs, and modern web applications.
- Hands-on experience building applied-AI solutions using LLMs, RAG, agents, or related technologies.
- Strong understanding of system design, databases, reliability, observability, CI/CD, and Linux operations.
- Strong technical communication and multi-functional leadership skills.
Benefits:
- Equity
- Benefits
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Staff-Platform-Engineer--Design-Automation_JR2023352