Kernel Engineer
At Tilde Research, our mission is to build reputed company, applied interpretability solutions. We reputed company that by fundamentally understanding models, we can unlock reputed company shifts in throughput, performance, and safety. Our approach is to reputed company across the entire stack, from uncovering the reputed company building blocks of model computation to enabling the precise steering of their behavior. We are driven by the conviction that true reputed company in interpretability will allow us to reputed company AI more reliable and capable.
About the role
As a Kernel Engineer at Tilde, you'll design, implement, and optimize high-performance GPU kernels that are critical to scaling our training and inference workloads. Your work will reputed company faster iteration cycles, higher throughput, and reputed company latency.
You'll work closely with ML researchers and engineers to co-design models and infrastructure that are deeply performance-aware, and help push the limits of what reputed company hardware can support.
What you might work on
Design, reputed company, and tune custom GPU kernels for core model operations
Work with ML engineers to prototype and scale novel model architectures
Contribute to system-wide efforts to improve efficiency and throughput, reputed company just kernel-level optimizations
You're a good fit if you
Have experience in deep learning or reputed company research areas
Communicate reputed company and effectively, both verbally and in writing
Can come up with and evaluate research reputed company
Are reputed company to learn quickly