At a Glance
- Tasks: Join NVIDIA to enhance CPU Compiler software and drive AI performance improvements.
- Company: NVIDIA, a leader in AI and computing technologies with a fun, innovative culture.
- Benefits: Highly competitive salary, comprehensive benefits, and a focus on diversity and inclusion.
- Other info: Collaborative environment with opportunities for significant contributions to open source communities.
- Why this job: Be at the forefront of AI and high-performance computing, making a real impact.
- Qualifications: 8+ years in compiler development, strong C++ skills, and knowledge of CPU architectures.
The predicted salary is between 54000 - 66000 £ per year.
We are looking to hire a senior CPU Compiler Performance Engineer for an exciting and fun role at NVIDIA.
Visit https://www. nvidia. com/en-in/data-center/grace-cpu/ to learn about our GPUs and CPUs.
We craft outstanding compilers that realise the potential of NVIDIA's CPUs, designed for the world's largest AI and computing markets.
Our compiler organization makes its mark on every CPU, GPU and compute unit that NVIDIA builds.
Responsibilities
- 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.
Qualifications
- 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
- 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.
- Expertise with CPU architectures such as Arm Architecture (AArch32, AArch64), RISC‑V, x86_64, Power PC 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 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.
#J-18808-Ljbffr
Senior CPU Compiler Performance Engineer in Cambridge employer: NVIDIA Gruppe
NVIDIA is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to redefine the future of AI and computing. With a strong focus on collaboration and professional growth, team members benefit from extensive opportunities to develop their skills while working alongside industry leaders in a culture that values trust, clarity, and impactful contributions. Located in a vibrant tech hub, NVIDIA provides unique advantages such as access to cutting-edge technology and a network of forward-thinking professionals, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior CPU Compiler Performance Engineer in Cambridge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at NVIDIA Gruppe or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to NVIDIA Gruppe.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like NVIDIA Gruppe.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like NVIDIA Gruppe that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
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 Gruppe.
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 Gruppe 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 Gruppe
✨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 Gruppe 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.
