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Overview
- NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years.
- Today, we're tapping into the unlimited potential of AI to define the next era of computing — an era in which our GPUs act as the brains of computers, robots, and self-driving cars.
- Doing what's never been done before takes vision, innovation, and the world's best talent.
- Come join our diverse team and see how you can make a lasting impact on the world.
- We are now looking for a Physical Design Methodology and Operations Engineer! You'll join a small team that owns the infrastructure powering NVIDIA's semiconductor design flows — coordinating hundreds of thousands of jobs per day across datacenters with 10,000+ hosts, serving over 1,000 chip designers worldwide.
- Our platform spans job orchestration, event-driven trigger systems, global service interconnection, web interfaces to tools, and a Jenkins-like CI/CD backbone — a production system with direct stakes in GPU, CPU, SoC and networking tapeouts.
- You'll own a functional area within the team while contributing across broader operations.
- Our stack includes mature Perl and Python services alongside modern React frontends and Elasticsearch-based telemetry.
- We're actively modernizing, and we need someone who can think architecturally — evaluating what we have, identifying what needs to change, and driving that evolution in a way the team can execute and maintain.
- If you want to own something critical at scale and shape how it grows, this role is for you.
- What you'll be doing: Designing and supporting mechanisms for coordinating and maintaining large-scale semiconductor design tasks across multiple global datacenters.
- Owning the architecture of one or more platform components — defining interfaces, data models, and service boundaries that can scale and evolve.
- Leading the modernization of legacy services — evaluating existing Perl and Python backends, proposing migration strategies, and driving execution with the team.
- Debugging and improving production services spanning web browsers, containerized microservices, and bare-metal Linux hosts.
- Building and improving web interfaces to configure, launch, and analyze EDA tools and design flows.
- Mining and analyzing large datasets of job execution telemetry and tool quality-of-results data to improve flows and catch regressions.
- Mentoring junior engineers and contributing to design reviews and technical standards across the team.
- Helping invent next-generation semiconductor design methodology.
- Optionally, contributing directly to the physical design of GPU, CPU, SoC, and networking products — a rare opportunity for an infrastructure engineer.
- What we want to see: Bachelor's or master's degree in computer science or computer systems engineering (or equivalent experience).
- 5+ years of software engineering experience, with a track record of designing and delivering production systems.
- Strong software architecture and design skills — experience defining service boundaries, APIs, data models, and system interfaces.
- Proficiency in Python and/or Perl; comfort with JavaScript and web technologies.
- Experience with distributed systems at meaningful scale.
- Proven ability to lead a project through its full lifecycle, from requirement solicitation to architecture design, to implementation, to maintenance and support.
- Comfort owning and debugging Linux-based production services.
- Ways to stand out from the crowd: Experience with workflow orchestration systems (Airflow, Argo, Temporal, Luigi, or similar).
- Experience with containerization technologies such as Docker or Kubernetes.
- Familiarity with Elasticsearch / Kibana / Vega for telemetry and dashboarding.
- Experience with MSSQL/Mysql/SQLite or other relational and NoSQL datastores.
- Exposure to Static Timing Analysis or VLSI physical design.
- NVIDIA is widely considered one of the technology world's most desirable employers.
- We have some of the most forward-thinking and talented people in the world working for us.
- If you're an engineer who thinks in systems, takes pride in designing things that last, and wants to see the silicon your work helps produce — we want to hear from you.
Tools & Skills
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Sourced directly from NVIDIA’s career page
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Specialisation
Salary range
₹5-12 LPA to ₹35-60 LPA
Open roles at NVIDIA
1999 positions
Job ID
/job/India-Bengaluru/Senior-CAD-Engineer_JR2021804-1
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