At a Glance
- Tasks: Design and train cutting-edge ML agents for performance optimisation in compilers and runtimes.
- Company: Join Huawei, a global leader in ICT with a commitment to innovation.
- Benefits: Competitive pay, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with top engineers and researchers in a vibrant, innovative setting.
- Why this job: Make a real impact by turning research into patents and publications.
- Qualifications: BSc/MSc in Computer Science or related field; strong C++ and Python skills required.
The predicted salary is between 59400 - 72600 £ per year.
Responsibilities
- Design and train RL and LLM-based agents that discover and verify performance optimisations in kernels, language runtimes and compiler output.
- Build the infrastructure around those agents: reward design, sandboxed execution environments, benchmark harnesses, and verification that catches reward hacking.
- Write and optimise performance-critical code, such as compiler passes, interpreter and JIT hot paths, and runtime data structures, and measure it rigorously on real hardware.
- Turn research papers into working prototypes quickly, and turn strong prototypes into patents and publications.
- Work with CPU architects and kernel and compiler engineers to turn ML-driven insights into hardware-software co-design proposals.
This job description is only an outline of the tasks, responsibilities and outcomes required of the role.
The jobholder will carry out any other duties as may be reasonably required by his/her line manager.
The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.
We are looking for an engineer who is comfortable writing a compiler pass, a JIT or interpreter fast path, and a training loop.
Ideally you have built at least one of those from scratch because you wanted to understand how it works.
Qualifications
- BSc or MSc in Computer Science, Electrical Engineering or a related field, or equivalent practical experience.
- Strong C++ and Python.
• Hands-on experience in at least two of the following areas
- compiler infrastructure (LLVM, MLIR, or a custom compiler)
- language runtimes (JIT compilers, interpreters, or dynamic language VMs such as V8, Java Script Core, Py Py, Lua JIT or the JVM)
- training or post-training models, including reinforcement learning (PPO, GRPO, or RLHF-style)
- Evidence of building a non-trivial system end-to-end. Examples include an open-source project, a language, a compiler, a runtime, or a tool you designed yourself.
- Desired
- CPU microarchitecture knowledge: pipelines, branch prediction, caches and prefetching, and how software behaviour maps onto them.
- ARM64/AArch64 and NEON/SVE/SME; simulation with gem5 or QEMU.
- Dynamic language runtime internals: inline caches, hidden classes/shapes, tiered compilation, deoptimisation, garbage collection.
- MLIR dialects and custom lowering passes, or LLVM backend work (instruction selection, register allocation).
- Low-level kernel work in CUDA, Triton or SIMD intrinsics.
- About Huawei
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.
We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.
Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world.
To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go.
This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies.
With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership.
The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.
For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business.
With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.
- Core Values
- Staying customer-centric,
- Inspiring dedication,
- Persevering,
- Growing by reflection.
Huawei's vision is a fully connected, intelligent world.
To achieve this, we work to inspire passion for basic research around the world.
Our combined passion drives development across the global innovation value chain.
Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe.
In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich.
We continue to explore and define new research directions and new services.
We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies.
We invite you to join us on this exciting journey and drive your career forward.
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Research Engineer-ML Systems & Compilers (Contractor) in Cambridge employer: Huawei
Huawei's London Office is an exceptional employer, offering a dynamic work environment that fosters innovation in artificial intelligence. With generous benefits such as 33 days of annual leave, private medical insurance, and a strong focus on employee development, team members are encouraged to grow their skills while contributing to groundbreaking research. Located in the vibrant King's Cross area, employees enjoy a collaborative culture that values resilience and creativity, making it an ideal place for those passionate about advancing technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer-ML Systems & Compilers (Contractor) in Cambridge
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Huawei who values hands-on experience over just theory.
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With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Huawei to see what you bring to the table.
✨Leverage Temporary Job Boards
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We think you need these skills to ace Research Engineer-ML Systems & Compilers (Contractor) in Cambridge
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Huawei!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Research Engineer-ML Systems & Compilers (Contractor) at Huawei! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Huawei
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Huawei uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Huawei that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Huawei, so it's relevant and sparks conversation during your interview.