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Senior CPU Compiler Performance Engineer

Role overview

Qualifications

  • BS, MS or higher degree in Computer Science, Computer Engineering, or related field
  • 8+ years of work experience
  • Experience with compiler development or related academic project
  • Strong hands-on C++ programming skills

Responsibilities

  • Understand, modify and improve CPU Compiler SW at NVIDIA
  • Analyse AI workloads to champion improvements in new hardware and compiler toolchain
  • Contribute new features and optimisation techniques for NVIDIA CPUs
  • Develop compiler SW that is optimised for performance

About the company

NVIDIA logo

NVIDIA

Semiconductors

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Company details

Company typeXLarge
IndustrySemiconductors
Company size10001

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Job description

We are looking to hire a senior CPU Compiler performance 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 computing markets: https://www.nvidia.com/en-in/data-center/grace-cpu/. Our compiler organisation makes its mark on every CPU, GPU and compute unit that NVIDIA builds. Would you like to be part of this outstanding organisation?

We need you to design compiler and hardware software together including developing new 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:

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

Ways 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.

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 would love to connect with 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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Marcus Rivera

Chief Revenue Officer

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