We need you to design compiler and hardware software together including developing current technologies to help with hardware software co-design. These compilers are key for the performance of AI, HPC and other performance critical software deployed on NVIDIA Data Centres, on the cloud and at super computing centres around the world. In this role you will solve critical problems working alongside an outstanding engineering team with vision in Compiler technology and systems software, doing what you enjoy! You will also be collaborating with the relevant upstream projects and improving the state of the art If this sounds like a fun challenge, we would be delighted to hear from you!!

What you will be doing:

- Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA.
- Analyse AI workloads to champion improvements in both new hardware and compiler toolchain and improve hardware-software co-design.
- Contribute new features and optimisation techniques targeting NVIDIA CPUs engaging with upstream and open source communities.
- Develop compiler SW that is optimised for performance.
- Be part of a team that is at the centre of artificial intelligence, high-performance computing and data centre technologies.
- Contribute towards the development of next generation compute

What we need to see:

- 8+ years of experience e with BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent work experience




- Experience with compiler development or a related academic project.
- Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules.
- Strong hands-on C++ programming skills
- Good CPU architecture and low level performance analysis skills with hands-on experience of pre-Silicon hardware / software co-design.
- Excellent verbal and written communications skills

How to stand out from the crowd:

- Knowledge of workload analysis and the ability to drive improvements in hardware , software, libraries and compilers including demonstrable ability of effectively improving hardware and software by all performance tools at disposal including but not limited to performance modeling / simulation and performance analysis tools.
- Expertise with CPU architectures such as Arm Architecture (AArch32, AArch64), RISC-V, x86_64, PowerPC or DSPs and engaging with pre-silicon compiler and toolchain contributions.
- A track record of working with industry standard compiler infrastructure such as GCC, LLVM or MLIR
- Knowledge of AI algorithms, scientific HPC applications and related code optimisations.
- Significant contributions to free software and open source compiler communities.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior CPU Compiler Performance Engineer (Pune)
🏢 NVIDIA
📍 Pune