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 CPUs 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 based on Open Source compilers. 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:
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Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA.
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Contribute new features and optimisation techniques targeting NVIDIA Grace CPUs engaging with upstream and open source communities.
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Develop compiler SW that is optimised for performance.
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Be part of a team that is at the centre of AI, HPC and data centre technologies.
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Contribute towards the development of next generation compute
What we need to see:
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BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent work experience
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Experience with compiler development or a related academic project.
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Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules.
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Strong hands-on C++ programming skills
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Excellent verbal and written communications skills
Ways to stand out from the crowd:
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Familiarity 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.
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A track record of working with industry standard compiler infrastructure such as Clang, LLVM or MLIR.
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Knowledge of AI algorithms, scientific HPC applications and related code optimisations.
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Meaningful contributions to free software and 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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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.”
