At a Glance
- Tasks: Write and optimise low-level GPU code for high-performance AI inference.
- Company: Join Fuse Energy, a forward-thinking renewable energy startup.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in AI and energy.
- Why this job: Make a real impact in the renewable energy sector with cutting-edge technology.
- Qualifications: Experience in CUDA programming and a passion for optimising performance.
The predicted salary is between 60000 - 80000 £ per year.
Fuse Energy, a renewable energy startup, is seeking a CUDA Engineer to write and optimize low-level GPU code powering our transformer inference workloads.
You will design custom CUDA kernels, tune performance across memory bandwidth, and push maximum throughput on our GPU fleet.
You will profile and optimize kernels, implement quantisation-aware and mixed-precision kernels, and contribute to internal CUDA libraries.
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Senior CUDA Engineer for High-Performance AI Inference employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
