Job Description

Job Description

Engineering Manager (C++)

Location: London based (Hybrid 2 days onsite)

Salary Range: Up to £160,000

Brief Summary

Annapurna Recruitment is seeking an experienced Engineering Manager – GPU Kernel to 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.

Essential Requirements:

• 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.

Desirable:

• 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).

Benefits

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.