We make the best chips physically possible for the large model needs of frontier labs.
About the role
Design and optimize kernels that interface directly with our hardware Work in partnership with our ML Research and Hardware Engineering teams Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor of Computer Science or equivalent degree
- 10+ years of software development experience
- Experience optimizing software for specialized hardware, employing techniques such as parallelism, SIMD programming, C, assembly-level optimization, or GPU/CUDA programming
- Language: at least one of assembly, C++, C, Zig, or Rust
- This is a hybrid role that will require you to work from our Mountain View, CA office 3 days a week on Tuesday through Thursday
- Experience implementing kernels for ML models such as Transformers
More about this role
MatX is on a mission to be the compute platform for AGI. We are developing vertically integrated full-stack solutions from silicon to systems including hardware and software to train and run the largest ML workloads for AGI. We primarily use the Rust programming language .
Design and optimize kernels that interface directly with our hardware
Work in partnership with our ML Research and Hardware Engineering teams
Provide expertise and guidance on hardware architecture from a programmer's perspective, ensuring seamless integration with the software stack
Bachelor of Computer Science or equivalent degree
10+ years of software development experience
Experience optimizing software for specialized hardware, employing techniques such as parallelism, SIMD programming, C, assembly-level optimization, or GPU/CUDA programming
Language: at least one of assembly, C++, C, Zig, or Rust
This is a hybrid role that will require you to work from our Mountain View, CA office 3 days a week on Tuesday through Thursday
Experience implementing kernels for ML models such as Transformers
Experience using and implementing distributed parallelism techniques such as AllReduce, AllToAll, data parallelism,...
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