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Head of engineering - (remote)

London
Annapurna
Head of engineering
Posted: 9h ago
Offer 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.

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