Senior Compiler Optimization Engineer – LLVM

NVIDIA Corporation; Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

NVIDIA Corporation in Bengaluru seeks a Senior LLVM Compiler Engineer to help build compilers for our GPUs, enabling deep learning, graphics, and HPC workloads. You will work on backend topics such as register allocation, instruction scheduling, and loop optimizations, collaborating with experts to optimize workloads across DL, Ray Tracing, and HPC domains.

Candidates should have 8+ years in compiler design, strong C/C++, and hands-on LLVM/GCC experience, with a solid understanding of processor

Qualifications

• B.S. or higher degree in Computer Science/Engineering.
• 8+ years of experience in compiler design.
• Strong background in program analysis and high-level optimizations.
• Excellent C and C++ programming skills.
• Hands-on experience with LLVM and GCC.
• Good understanding of processor architecture.
• Experience working in a global team.
• Self-motivated with proactive work style.
• Strong communication skills to influence others.

Responsibilities

• Be part of NVIDIA re-targetable GPU compiler backend team.
• Work on register allocation, instruction scheduling, synchronization, and loop optimizations.
• Develop solutions to optimize workloads in DL, Graphics, and HPC.
• Address unique problems in massively parallel GPU architectures.
• Contribute to new GPU architecture developments.

Skills

C/C++ programming

LLVM

Compiler design

Program analysis

High-level optimizations

Communication

Education

B.S. or higher degree in Computer Science/Engineering

Tools

LLVM

GCC

Job description

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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.