Senior Compiler Optimization Engineer – LLVM
Nvidia
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This role on the market
234 open optimization roles across 88 companies are on ApplySarthi right now, most of them in Bengaluru (10), Hyderabad (3), Delhi NCR (2).
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What optimization roles keep asking for: Python (24%), SQL (13%), Machine learning (12%) — counted across their open postings here.
Nvidia has 2,064 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for optimization roles keep coming back to Python, SQL, Machine learning. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Deep learning? Tell me one thing you learned the hard way.
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
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Practise the Senior Compiler Optimization Engineer – LLVM at Nvidia interview free →We are looking to hire a Senior LLVM Compiler Engineer for an exciting role developing compilers for our world leading GPUs. We craft outstanding compilers that realize the potential of NVIDIA GPU hardware for growing range of computational workloads, ranging from next generate graphics, deep learning, scientific computing, and self-driving cars. Our compiler organization makes its mark on every GPU and SoC product that NVIDIA builds. Would you like to be part of this best-in-class organization and lead the charge? What you'll be doing: Be part of NVIDIA re-targetable GPU compiler backend team Work on challenging problems in register allocation, instruction scheduling, synchronization, loop optimizations etc. Develop innovative solutions to optimize workloads in Deep Learning, Ray Tracing, HPC etc. by working with industry experts in each field. Solve unique problems seen only in a compiling for massively parallel GPU architecture. Get a chance to influence and work on new GPU architectures. What we need to see: B.S. or higher degree in Computer Science/Engineering Proficient in compiler design with 8+ years of experience Strong background in program analysis and high level optimizations Excellent C and C++ programming skills Hands on experience in compiler infrastructures like LLVM/GCC Good understanding of processor architecture Experience in a working in a global team Self-motivated to get things done Good communication skills with ability to influence others Ways to stand out from the crowd: Masters or PhD preferred Demonstrated ability to pursue complex optimization problems Experience in Scheduling/Register Allocation Experience in developing CUDA, DirectX, OpenGL/Vulkan applications NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you. NVIDIA is committed to developing a diverse 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 2026-08-27. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.