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- Tasks: Lead a team to optimise ML workloads for embedded GPU environments.
- Company: Annapurna Recruitment focuses on cutting-edge AI deployment strategies.
- Benefits: Enjoy hybrid work, professional development, and a diverse, inclusive culture.
- Why this job: Work on groundbreaking AI technologies with real-world impact in a supportive environment.
- Qualifications: Experience in engineering management and expertise in GPU kernels or ML compilers required.
- Other info: This role is based in London with a hybrid working model.
The predicted salary is between 96000 - 128000 £ per year.
Get AI-powered advice on this job and more exclusive features.Direct message the job poster from AnnapurnaLocation: London based (Hybrid 2 days onsite)Salary Range: Up to £160,000Brief SummaryAnnapurna Recruitment is seeking an experienced Engineering Manager – GPU Kernelto lead a high-impact team focused on optimizing machine learning (ML) workloads for embedded GPU environments. This London-based role offers the opportunity to work on cutting-edge AI deployment strategies for next-generation autonomous systems, with a hybrid working model.What to ExpectThe Engineering Manager will oversee a multidisciplinary team dedicated to developing custom GPU kernels and libraries that enhance the efficiency of transformer-based AI models on embedded GPUs and accelerators. Key responsibilities include:Leading and mentoring a team of ML GPU kernel engineers to ensure efficient ML deployments across a wide range of devices.Collaborating with technical leads to define foundational strategies for deployment frameworks, compilers, toolchains, and system-on-chips (SoCs).Setting clear objectives and priorities, and efficiently allocating resources to meet project goals.Engaging in cross-functional collaboration with ML engineers, software developers, and researchers to facilitate the deployment of end-to-end AI solutions at scale.Proven experience as an Engineering Manager delivering complex engineering projects.Expertise in developing GPU kernels and/or ML compilers (e.g., CUDA, OpenCL, TensorRT, MLIR, TVM).Experience optimizing systems to meet strict utilization and latency requirements.Excellent interpersonal and communication skills.Experience with C++ and ML frameworks such as PyTorch.Familiarity with ML deployment pipelines.Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas).The company offers a comprehensive benefits package, including:A hybrid working policy that combines in-office collaboration with remote flexibility.Opportunities to work on groundbreaking AI technologies with real-world applications.A supportive and inclusive work environment that values diversity and innovation.Access to ongoing professional development and career growth opportunities.Seniority level Seniority level Mid-Senior levelEmployment type Employment type Full-timeJob function Industries Staffing and RecruitingReferrals increase your chances of interviewing at Annapurna by 2xGet notified about new Engineering Manager jobs in London Area, United Kingdom .London, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 days agoRichmond Upon Thames, England, United Kingdom 2 weeks agoGreater London, England, United Kingdom 2 days agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 1 week agoEngineering Manager/Tech Lead (Hands on!) – Up to £175,000 comp – London/Hybrid London, England, United Kingdom 2 weeks agoBasildon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 weeks agoHayes, England, United Kingdom 2 weeks agoEngineering Manager – £650 (Inside IR35) – London – Hybrid London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 month agoDirector of Engineering, Pre-Opening – St. Regis London London, England, United Kingdom 1 week agoLondon, England, United Kingdom 5 days agoLondon, England, United Kingdom 2 weeks agoEngineering Manager – Structures (Evolv Energies) London, England, United Kingdom 1 week agoDeputy Director, Data Engineering, Data Science and AI London, England, United Kingdom 1 day agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 months agoLondon, England, United Kingdom 1 week agoWe\’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Contact Detail:
Annapurna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager
✨Tip Number 1
Familiarise yourself with the latest advancements in GPU kernel development and machine learning frameworks. Being well-versed in technologies like CUDA, OpenCL, and TensorRT will not only boost your confidence but also demonstrate your commitment to staying current in this fast-evolving field.
✨Tip Number 2
Network with professionals in the AI and embedded systems sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders in the field. This can provide valuable insights into the company culture and expectations, as well as open doors for referrals.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing multidisciplinary teams. Be ready to share specific examples of how you've successfully led projects, mentored team members, and collaborated across functions to achieve project goals.
✨Tip Number 4
Research the company's recent projects and initiatives in AI deployment strategies. Understanding their work will allow you to tailor your discussions during interviews, showing that you're genuinely interested in contributing to their mission and vision.
We think you need these skills to ace Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing engineering teams and your expertise in GPU kernel development. Use specific examples that demonstrate your ability to lead complex projects and optimise machine learning workloads.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI technologies and your understanding of the role's requirements. Mention your experience with C++ and ML frameworks, and how you can contribute to the company's goals in optimising AI deployment strategies.
Showcase Relevant Projects: Include details about any relevant projects you've worked on, particularly those involving GPU kernels or ML compilers. Highlight your role in these projects and the impact they had on performance or efficiency.
Prepare for Technical Questions: Anticipate technical questions related to GPU kernel development and machine learning optimisation. Be ready to discuss your problem-solving approach and any challenges you've faced in previous roles, as this will demonstrate your expertise and leadership capabilities.
How to prepare for a job interview at Annapurna
✨Showcase Your Leadership Skills
As an Engineering Manager, you'll be leading a team. Be prepared to discuss your leadership style and provide examples of how you've successfully managed teams in the past. Highlight any mentoring experiences and how you’ve helped team members grow.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of GPU kernels and ML compilers. Be ready to discuss specific projects where you've optimised systems or developed GPU kernels. This will show that you have the technical chops to lead the team effectively.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role. Think of examples where you've worked cross-functionally with other teams, such as ML engineers or software developers. Be ready to explain how you facilitated communication and collaboration to achieve project goals.
✨Understand the Company’s Vision
Research the company’s focus on AI technologies and their applications in autonomous systems. Being able to articulate how your experience aligns with their mission will demonstrate your genuine interest in the role and the company.
