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.
Skills Required
- BS, MS or higher in Computer Science, Computer Engineering, or related field, or equivalent experience with 8+ years
- Experience with compiler development or a related academic project
- Knowledge of language front-ends, compiler optimization techniques, and code generation modules
- Strong hands-on C++ programming skills
- CPU architecture and low-level performance analysis skills with hands-on pre-silicon hardware/software co-design experience
- Excellent verbal and written communication skills
- Workload analysis and ability to drive hardware/software/compiler improvements using performance tools (modeling/simulation, profilers)
- Expertise with CPU architectures (Arm AArch32/AArch64, RISC-V, x86_64, PowerPC, DSPs) and pre-silicon toolchains
- Track record with industry-standard compiler infrastructure such as GCC, LLVM, or MLIR
- Knowledge of AI algorithms, scientific HPC applications and related code optimizations
- Significant contributions to free software and open source compiler communities
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
