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- Tasks: Design and develop software architecture for cutting-edge AI accelerators.
- Company: Join a pioneering company creating next-gen AI technology in London.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant team culture.
- Why this job: Be at the forefront of AI innovation and make a real impact in tech.
- Qualifications: 5+ years in software engineering with strong C & C++ skills required.
- Other info: Personal projects are highly valued; show us your passion!
The predicted salary is between 43200 - 72000 £ per year.
Our client has developed the next generation of custom-designed AI accelerators, optimized for training & inference of large AI models. With prototypes already in place, they are now looking to scale their business rapidly. We are seeking highly experienced and motivated individuals to design and build the software architecture for our next-generation GPUs. This role requires deep expertise in C & C++ programming, low-level programming, compiler construction, and optimization techniques.
Responsibilities:
- Design and develop the software architecture for the next-generation TPU, ensuring high performance and scalability.
- Collaborate with hardware engineers to integrate software and hardware components seamlessly.
- Optimize software performance through advanced techniques in low-level programming and compiler design.
- Develop and maintain machine learning frameworks and tools to leverage the full potential of the TPU.
- Conduct code reviews, provide technical mentorship, and guide other team members in best practices.
- Stay current with industry trends and advancements in GPU technologies, machine learning, and optical computing.
- Lead and participate in the development of technical documentation and specifications.
- Drive innovation and contribute to the strategic direction of the software engineering team.
Skills & Experience:
- 5+ years of experience in software engineering with a focus on C & C++ programming.
- Proven expertise in machine learning and its applications in high-performance computing.
- Strong problem-solving skills and the ability to think critically and creatively.
- Experience in high-paced, dynamic work environments.
- Bachelor's degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field.
- Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams.
- Personal projects are a key differentiator and hold more weight than other requirements.
AI / ML Compiler Engineer - AI Accelerators employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Compiler Engineer - AI Accelerators
✨Tip Number 1
Make sure to showcase your personal projects that demonstrate your expertise in C & C++ programming and machine learning. These projects can set you apart from other candidates, so highlight any innovative solutions or unique applications you've developed.
✨Tip Number 2
Network with professionals in the AI and ML community, especially those who work with GPUs and compilers. Attend relevant meetups, webinars, or conferences to connect with potential colleagues and learn about industry trends that could give you an edge in interviews.
✨Tip Number 3
Prepare to discuss your problem-solving approach during interviews. Be ready to share specific examples of challenges you've faced in software engineering, particularly in high-performance computing, and how you overcame them using advanced techniques.
✨Tip Number 4
Stay updated on the latest advancements in GPU technologies and machine learning frameworks. Being knowledgeable about current trends will not only help you in interviews but also show your passion for the field and your commitment to continuous learning.
We think you need these skills to ace AI / ML Compiler Engineer - AI Accelerators
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in C & C++ programming, compiler construction, and machine learning. Use specific examples from your past work that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and ML technologies. Mention any personal projects that showcase your skills and how they relate to the role. Be sure to explain why you want to work with this client and how you can contribute to their goals.
Showcase Relevant Projects: If you have personal projects or contributions to open-source software related to AI accelerators or compiler design, include them in your application. This can set you apart from other candidates and demonstrate your hands-on experience.
Highlight Team Collaboration Skills: Since the role involves collaborating with hardware engineers and cross-functional teams, emphasise your teamwork and communication skills in your application. Provide examples of successful collaborations from your previous roles.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C and C++ programming in detail. Bring examples of past projects where you optimised software performance or worked on compiler construction, as this will demonstrate your expertise in the areas crucial for the role.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process clearly and logically when tackling complex issues, as this will highlight your critical thinking and creativity.
✨Highlight Collaboration Experience
Since the role involves working closely with hardware engineers and cross-functional teams, be ready to share examples of successful collaborations. Discuss how you’ve effectively communicated and integrated software with hardware components in previous roles.
✨Discuss Personal Projects
Personal projects can set you apart from other candidates. Be sure to mention any relevant side projects that showcase your passion for AI and machine learning, as well as your ability to innovate and apply your skills outside of a formal work environment.
