At a Glance
- Tasks: Optimise ML inference for edge accelerators and GPUs in innovative driving products.
- Company: Wayve, a pioneering tech company based in London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of exciting early-stage projects with significant impact.
- Why this job: Join a cutting-edge team and shape the future of AI in vehicles.
- Qualifications: Experience in ML systems, compilers, and embedded deployment.
Wayve in London is seeking a Staff ML Performance Engineer to optimise ML inference for edge accelerators and GPUs, enabling our first driving product. This role blends ML systems, compilers, runtimes and embedded deployment across multiple early-stage projects.
You will set technical direction, partner with model developers and cross-functional teams to deliver performant, reliable edge AI capabilities on in-vehicle compute.
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Staff ML Performance Engineer - Edge Inference Optimizer employer: Wayve
Wayve is an exceptional employer that fosters a dynamic and innovative work culture, where software engineers can thrive while contributing to cutting-edge AI solutions. With a strong emphasis on employee growth, Wayve offers opportunities for professional development and collaboration in a hybrid work environment, allowing for flexibility and work-life balance. Located in a vibrant tech hub, employees benefit from a supportive community and access to industry-leading resources.
