At a Glance
- Tasks: Optimise AI training and inference, profile workloads, and design scalable kernels.
- Company: Fast-moving startup at the intersection of AI research, chemistry, and engineering.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic startup culture with a focus on innovation and collaboration.
- Why this job: Join a pioneering team shaping the future of compute clusters across Europe.
- Qualifications: Experience in performance engineering and a passion for AI and high-performance computing.
The predicted salary is between 63000 - 77000 $ per year.
Cusp AI is seeking a Performance Engineer to bridge frontier AI models and high‐performance compute.
You will optimize training/inference, profile workloads, and design scalable kernels to empower faster materials discovery.
Join a fast‐moving startup bridging AI research, chemistry, and engineering.
You'll collaborate with researchers and infrastructure to shape future compute clusters across Europe and beyond.
HPC Performance Engineer for AI Training & Inference in Cambridge employer: CuspAI
CuspAI is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact groundbreaking advancements in materials science. With a commitment to professional development, competitive salaries, and generous parental leave, CuspAI prioritises employee growth and well-being while tackling some of the world's most pressing challenges. Join a diverse team of world-class researchers and engineers in vibrant locations like Cambridge, London, Amsterdam, or Berlin, and be part of a mission that truly matters.
