# GPU Kernel Engineer at Sciforium

- Company: Sciforium
- What the company does: Sciforium builds the next generation of AI models with unprecedented efficiency, privacy, and versatility. Backed by SignalFire.
- Company website: https://sciforium.com
- Type: Startups
- Level: Mid level
- Location: San Francisco, CA
- Work setup: Remote
- Pay: $190K to $250K base salary per year (USD)
- Posted: 2026-09-28
- Apply by: 2026-11-12
- Apply: https://jobs.ashbyhq.com/Sciforium/dc02d540-3a2d-4a35-af27-bf443a19384e
- Page: https://www.1752.vc/careers/jobs/sciforium-gpu-kernel-engineer/

## About the role

We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom GPU kernels that power next-generation large-scale AI systems. You will work across the hardware–software stack, from low-level kernel development to integrating optimized ops into high-level ML frameworks used for large-scale training and inference.

## What they're looking for

- 5+ years of industry or research experience in GPU kernel development or high-performance computing
- Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related field
- Strong programming skills in C++, Python, and familiarity with ML frameworks
- Deep expertise in CUDA/ROCm, GPU memory models, and performance optimization strategies
- Hands-on experience with Triton and/or JAX Pallas for custom kernel development
- Strong understanding of PTX, GPU ASM, and low-level GPU execution

Tags: Engineering