Runtime Engineer
Kernelize
Runtime Engineer
Kernelize
Migrates ML models to AI accelerators
Kernelize builds compiler backends for AI accelerators to enable and optimize Triton kernels for broad adoption for ML training and inference. We bridge the gap (disconnect) between AI optimizers and HW vendors' custom AI accelerators through Triton.
This role is focused on building a scalable runtime that supports a wide range of AI hardware accelerators, and I need someone who’s passionate about driving ML optimization using Triton. This is a chance to work on cutting-edge runtime technologies and help shape the core of our tech from the ground up.
The actual offer, reflecting the total compensation package and benefits, will be at the company’s sole discretion and determined by a myriad of factors, including, but not limited to, years of experience, depth of skills, and other relevant business considerations. The company also reserves the right to amend or modify employee perks and benefits.
At Kernelize we consider several factors when setting each role’s salary range, including the competitive benchmarking data for the market and geographic location. As this is a flexible role that must be performed remotely, this means that the salary range will vary based on geographic location. Please note that individual pay will be set within this salary range based on location as well as skills and experience related to the job.
Kernelize is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Kernelize helps organizations run AI inference on specialized hardware. It migrates machine learning models from CPU/GPU setups to AI accelerators and optimizes them for that hardware. The process relies on the Triton compiler ecosystem to adapt models, ensure compatibility, and tune performance. By providing targeted compiler and runtime work, Kernelize offers fine-grained control for each accelerator, enabling faster development and deployment of new AI hardware. Compared with others, Kernelize combines deep compiler engineering with hands-on system integration, focusing on de-risking and accelerating the software side of new accelerators for businesses through services like proof-of-concept projects and custom system development. The goal is to help clients achieve efficient, reliable AI inference on their hardware, shorten development cycles, and bring new accelerator solutions to production."}7f32d9a8-1b5b-4e2b-8f8a-9a1a2b1c2d2e{ }? }')->{
Explore more opportunities at Kernelize