ApplySarthi

Senior Software Engineer, Datacenter Modeling

Nvidia

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87 open datacenter roles across 28 companies are on ApplySarthi right now, most of them in Pune (1), Delhi NCR (1).

What datacenter roles keep asking for: Python (21%), Linux (16%), Supply chain (16%), R (15%) — counted across their open postings here.

Software Engineer jobs in the United States · Remote Software Engineer jobs · Python jobs

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Preparing for this interview

Interviews for datacenter roles keep coming back to Python, Linux, Supply chain, R. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Python? Tell me one thing you learned the hard way.
  3. Walk me through a system you built. How was it designed, and what would you change now?
  4. Tell me about a hard bug you tracked down. How did you find the cause?
  5. How do you decide what to test, and what does good code review look like to you?

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NVIDIA is at the heart of AI, accelerated computing, and the systems that power them. We are hiring a Senior Engineer to design and build robust software for accelerated computing systems. You will solve challenging technical problems, contribute to architecture decisions, improve engineering practices, and collaborate with partners across NVIDIA. We’re seeking engineers who identify meaningful opportunities, approach problems with analytical rigor, and consistently deliver results in a fast-paced setting. What you’ll be doing: Design, implement, and maintain software systems that combine hardware, software, workload, and deployment assumptions to evaluate data center-level power, TCO, and performance trade-offs. Contribute to software design decisions by prototyping and evaluating solutions and incorporating feedback from stakeholders. Strengthen engineering quality through effective testing, regression coverage, and operational practices. Collaborate across teams to define clear interfaces and enable efficient development. Make hands-on contributions to complex technical problems, help diagnose, and resolve issues. Participate in building and code reviews, share knowledge, and help teammates adopt effective software and engineering practices. What we need to see: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics, Applied Mathematics, or a related field, or equivalent experience. An MS or PhD is preferred. 6+ years of experience in Python or other modern programming languages. Experience developing and maintaining technical software systems with strong analytical, problem-solving, and debugging skills. Ability to learn quickly and work effectively in a dynamic environment and apply new technologies and approaches. Strong written and verbal communication skills, with the ability to collaborate across multidisciplinary teams. Ways to stand out from the crowd: Comfort navigating ambiguous problem spaces, learning from source code and primary papers, prototyping quickly, and adapting based on evidence. Background in performance analysis, executive dashboards, or quantitative modeling for accelerated systems. Experience working close to hardware or at large scale is a plus. Track record of turning real-world inputs into structured, reliable software. Experience helping teammates learn and adopt new technologies while continuing to deliver. Good judgment about systems build and openness to revising your views as new information emerges. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.