Engineering Manager

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Annapurna

Location: London based (Hybrid 2 days onsite)

Salary Range: Up to £160,000

Brief Summary

Annapurna 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 Expect

The 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 level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Staffing and Recruiting

Referrals increase your chances of interviewing at Annapurna by 2x

Get notified about new Engineering Manager jobs in London Area, United Kingdom.

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 days ago

Richmond Upon Thames, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 2 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

Engineering Manager/Tech Lead (Hands on!) - Up to £175,000 comp - London/Hybrid

London, England, United Kingdom 2 weeks ago

Basildon, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Hayes, England, United Kingdom 2 weeks ago

Engineering Manager - £650 (Inside IR35) – London – Hybrid

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

Director of Engineering, Pre-Opening - St. Regis London

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 weeks ago

Engineering Manager - Structures (Evolv Energies)

London, England, United Kingdom 1 week ago

Deputy Director, Data Engineering, Data Science and AI

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.