At a Glance
- Tasks: Lead the development and optimisation of Deep Learning models on AMD GPUs.
- Company: Join AMD, a leader in next-gen computing and AI innovation.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Shape the future of AI while working with cutting-edge technology and talented teams.
- Qualifications: Expertise in Python/C++, AI frameworks, and GPU programming required.
- Other info: Inclusive culture that values diverse perspectives and encourages bold ideas.
The predicted salary is between 48000 - 72000 ÂŁ per year.
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centres, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture.
AMD is looking for a specialized software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.
Our team is seeking expert-level skilled and motivated senior developer with a strong technical foundation in C++/Python AI development in Linux environment. The ideal candidate combines deep technical expertise with strong analytical abilities, excelling both as a collaborative team member and as an independent contributor capable of defining goals, scoping work and leading development efforts end to end.
Key Responsibilities- Model Development and Optimization: Lead the development and optimization of Deep Learning models on AMD GPUs, ensuring high performance and scalability across training and inference workloads.
- Framework Enablement: Lead efforts to enhance PyTorch and its ecosystems on AMD GPUs, contributing performance-critical improvements to upstream open-source repositories.
- Open-Source Integration: Engage directly with PyTorch and other open-source maintainers to align on requirements, propose enhancements and ensure AMD contributions are successfully adopted and maintained upstream.
- Community Feature Enablement: Collaborate with PyTorch community and ecosystem partners to design, enable and upstream new features, ensuring AMD GPUs remain first class for emerging AI workloads.
- Cross-Functional Collaboration: Partner closely with internal GPU Libraries, compilers, and runtime teams to identify performance bottlenecks and deliver optimized solutions for large-scale AI workloads.
- Scalable Systems Optimization: Develop innovative solutions for both scale-up (multi-GPU) and scale-out (multi-node) distributed training environments to optimize performance on AMD GPUs.
- Engineering Excellence: Apply rigorous software engineering best practices, including code review, testing, CI/CD integration and debugging, to deliver reliable and maintainable solutions at scale.
- Software Engineering: Expert skills in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.
- AI Framework & Deep Learning: Strong understanding of AI frameworks such as PyTorch, Triton and vLLM, with applied knowledge across domains such as Natural Language Processing, Vision, Audio and Recommendation Systems.
- GPU Computing: Strong experience with GPU Programming models (CUDA, HIP).
- Development Processes & Tools: Expert with modern software practices and tooling, including debuggers, profilers, and version control systems (e.g., GitHub).
- Collaboration & Problem Solving: Effective and efficient communicator with strong analytical and problem-solving skills, capable of working across diverse technical teams.
- Master’s or PhD level degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Senior Professional Experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development.
Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior PyTorch Engineer in Cambridge employer: AMD
Contact Detail:
AMD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior PyTorch Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current AMD employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your PyTorch expertise, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience and passion for AI development.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ and Python skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings there, so keep checking back!
We think you need these skills to ace Senior PyTorch Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with C++ and Python, especially in AI development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for deep learning and GPU optimization. Let us know why you’re excited about joining AMD and how you can contribute to our mission.
Showcase Your Projects: If you've worked on any open-source projects or have contributions to PyTorch, make sure to mention them! We love seeing practical examples of your work and how you’ve engaged with the community.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at AMD
✨Know Your Tech Inside Out
Make sure you brush up on your C++ and Python skills, especially in the context of AI development. Be ready to discuss your experience with PyTorch and any performance tuning you've done. The more specific examples you can provide, the better!
✨Showcase Your Collaboration Skills
AMD values teamwork, so be prepared to talk about how you've worked with others in past projects. Highlight any cross-functional collaborations you've been part of, especially those that involved GPU optimization or open-source contributions.
✨Prepare for Technical Challenges
Expect some technical questions or coding challenges during the interview. Practice solving problems related to deep learning model optimisation and GPU programming. Familiarise yourself with common performance bottlenecks and how to address them.
✨Emphasise Your Passion for Innovation
AMD is all about pushing boundaries, so convey your enthusiasm for cutting-edge technology and innovation. Share any personal projects or research that demonstrate your commitment to advancing AI and deep learning, and how you see yourself contributing to AMD's mission.