We are looking to hire a CPU Compiler Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's Grace CPU designed for the world's largest AI and HPC workloads: https://www.nvidia.com/en-in/data-center/grace-cpu/. Our compiler organisation makes its mark on every CPU, GPU, DPU and SoC product that NVIDIA builds. Would you like to be part of this outstanding organisation?
We need you to design, develop and tune optimising compilers for Grace. This C/C++ compiler will be key to performance of AI and HPC software that is 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! We also expect the role to involve contributions back to the relevant upstream projects and engaging with them. 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.
Contribute new features and optimisation techniques.
Develop compiler SW that is optimised for performance.
Be part of a team that is at the centre of AI, HPC and data centre technologies.
What we need to see:
BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent with minimum 3 years of work experience
Experience with compiler development or a related academic or project.
Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules.
Strong hands-on C++ programming skills
Excellent verbal and written communications skills
Ways to stand out from the crowd:
Familiarity with CPU architectures such as x86_64, PPC, RISC-V, Arm Architecture (AArch32, AArch64) or DSPs.
Familiarity with industry standard compiler infrastructure such as LLVM and / or GNU Toolchain
Knowledge of AI algorithms, scientific HPC applications and related code optimisations.
A track record of contributing to open source compiler communities.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most innovative and talented people on the planet working for us and, due to unprecedented growth, our world-class engineering teams are expanding fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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What We Do
NVIDIA’s invention of the GPU in 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, NVIDIA is increasingly known as “the AI computing company.”
