At a Glance
- Tasks: Design and develop cutting-edge compilers for NVIDIA's CPUs, optimising performance for AI and HPC.
- Company: Join NVIDIA, a leader in AI and computing technology with a vibrant culture.
- Benefits: Enjoy competitive salaries, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborate with top engineers in a dynamic environment focused on innovation and diversity.
- Why this job: Be at the forefront of technology, making a real impact in AI and data centres.
- Qualifications: 8+ years in compiler development or related fields, strong C++ skills, and CPU architecture knowledge.
The predicted salary is between 70000 - 90000 £ per year.
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. 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.
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.
Senior CPU Compiler Performance Engineer in Cambridge employer: Nvidia
NVIDIA is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration among talented professionals. With a focus on cutting-edge technology in AI and cloud systems, employees benefit from competitive salary packages and ample opportunities for personal and professional growth in a dynamic environment. Join us to be part of a team that is not only solving significant challenges but also shaping the future of technology.
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We think this is how you could land Senior CPU Compiler Performance Engineer in Cambridge
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We think you need these skills to ace Senior CPU Compiler Performance Engineer in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Nvidia.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Nvidia and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Nvidia
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Nvidia uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
