ApplySarthi

Build and Release Methodology Engineer

Nvidia

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81 open methodology roles across 14 companies are on ApplySarthi right now, most of them in Hyderabad (8), Bengaluru (8), Delhi NCR (1).

What methodology roles keep asking for: Python (59%), Perl (37%), C++ (25%), Deep learning (15%) — counted across their open postings here.

C++ jobs · Excel jobs · Perl jobs · Python jobs

Nvidia has 3,820 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Interviews for methodology roles keep coming back to Python, Perl, C++, Deep learning. 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 C++? Tell me one thing you learned the hard way.
  3. Tell me about a hard bug you tracked down. How did you find the cause?
  4. How do you decide what to test, and what does good code review look like to you?
  5. Describe a time a deadline forced a trade-off in quality. What did you choose and why?

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NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are looking for a Senior Engineer for our Build and Release Methodology Group catering to our pioneering SOCs. As the SOC development becomes more complex requiring packing of more and more IPs and the need for doing more SOCs increase, we need to have a scalable infrastructure to be able to complete SOC development in fastest as well as most efficient way possible. This requires an SOC Build and IP Release infrastructure that caters to and keeps up with these ever-increasing complexities. In this position, you will work first-hand on architecting and developing this methodology. If you have real passion for methodologies and automation solutions, you will fit in great! What you'll be doing: Define and develop system-level methodologies and tools to build SOCs in an efficient and scalable manner. Architect and implement core build flows so as to optimize build and make it simpler and efficient. Improve build, release, and integration tools and procedures. Identify and develop Checks to enforce the best practices for the Build and Release guidelines. Develop solutions to enable abstraction and compartmentalization for customer IPs. Identify difficulties and inefficiencies in the SOC implementation process and propose ideas to solve them. Support IP teams with Build and Release related issues. What we need to see: BS or MS in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent experience. 2+ years of industry experience as Build and Release Engineer, Build Automation, IP integration and related areas. Strong coding skills in Perl, Python, Makefile, Shell script, or other industry-standard scripting languages. Excellent analytical and problem-solving skills. Excellent interpersonal skills to work with multi-functional teams and collaborate with team members across sites and cultures to build consensus. Background in RTL (Verilog), Verification (UVM, System Verilog) and C/C++ is a plus - Not must. Experience in synthesis and physical design is a plus - Not must. #LI-Hybrid

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Listed on workday · posted 2026-10-27. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.