Senior Compiler Engineer - Backend GPU
Nvidia
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
129 open compiler roles across 21 companies are on ApplySarthi right now, most of them in Bengaluru (11), Pune (1), Hyderabad (1).
- Quadrants: Compiler LeadGenesis
- Compiler Performance EngineerIntel
- Advanced Compiler Engineer - Quantum SoftwareQuantinuum
- Machine Learning Compiler EngineerJanestreet
- Quantum Control Pulse-Level Compiler Intern 2027IBM
What compiler roles keep asking for: C++ (72%), Deep learning (34%), Python (33%), PyTorch (29%), Machine learning (19%), Rust (13%) — counted across their open postings here.
Nvidia has 3,820 open roles listed here.
- Software Developer - Networking
- Manager, Silicon Circuit and Power Integrity - Silicon Co-Design Group
- Senior Physical Design Methodology Engineerbengaluru
- Electro Optics Student
- Manager, Software Verification
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for compiler roles keep coming back to C++, Deep learning, Python, PyTorch. 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 C++? Tell me one thing you learned the hard way.
- 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?
- What do you do when a production issue happens on your code?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Compiler Engineer - Backend GPU at Nvidia interview free →NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures. What you will be doing: Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler Work with global compiler, hardware and application teams to oversee improvements and problem resolutions Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools 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 or equivalent experience 4+ years of compiler development experience including 3+ years of experience in LLVM with a focus in code generation Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR) Proficient in compiler design and in performance analysis tools Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems Good communication and documentation skills and self-motivated Ways to stand out from the crowd: Masters or PhD preferred, with 5+ years of relevant experience Experience developing compiler optimizations and code generation for GPUs Experience in developing CUDA, DirectX, OpenGL/Vulkan applications You should have strong interpersonal skills and be capable of leading and influencing others in the department With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 17, 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.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Head of Startups - India and South AsiaNvidia · bengaluru
- Manager, AI/HPC Infrastructure Technical Delivery — IndiaNvidia · pune
- Architect – AI-Powered Performance Verification AutomationNvidia · bengaluru
- Data Center Infrastructure SpecialistNvidia · bengaluru
- Senior Developer Relations ManagerNvidia · bengaluru
- Server Performance Architect - HardwareNvidia · bengaluru
- Senior Solutions Architect, Infiniband and Networking Ethernet - NVISNvidia · bengaluru
- Senior Software Engineer, Fabric Networking - GPUNvidia · bengaluru
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹149 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.