What are the responsibilities and job description for the CUDA Engineer position at Acceler8 Talent?
CUDA Engineer
We are seeking a CUDA Engineer to join the Inference group of a well known, heavily funded team making waves in AI innovation, now focussing their efforts on building scalable and efficient solutions for enterprise AI workloads.
The Inference team focuses on expanding the capabilities of deployable GPU architectures, optimizing performance, and building tools for efficient operations.
They are hoping to find those who with Kernel programming backgrounds, building products to distribute ML workloads across distributed systems. CUDA expertise will be relevant, with the ability (and desire) to extend solutions to non-NVIDIA architectures.
You’ll be working with a hugely talented team with a track record of scale up success.
We are seeking a CUDA Engineer with:
- CUDA expertise
- A background working on GPU (or similar) architectures
- Experience working with Inference
Location: Palo Alto, 100% on site
Compensation: We can look at very competitive compensation, aiming to compete with most in the Bay Area.
Salary : $200,000 - $400,000
