Senior Kernel Engineer for ML Hardware & AGI Compute

MatX

Mountain View (CA)

Hybrid

USD 160,000 - 600,000

Full time

3 days ago
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Benefits offered by this job

4 weeks PTO
12 company holidays
Up to 3 weeks remote work
Health insurance (employee + dependent
401K with company match
Life insurance
Professional development budget
Commuting reimbursement

Job summary

MatX is building a compute platform for AGI, focusing on full-stack solutions from silicon to systems and using Rust. The candidate will design and optimize kernels interfacing with hardware, and collaborate with ML research and hardware engineering teams in a hybrid Mountain View, CA role.

The ideal candidate has 5+ years of software development experience and deep knowledge of parallelism, SIMD, and low-level optimization in C/C++, Rust, or Zig, with a focus on hardware-aware software.

Qualifications

  • Bachelor's degree in Computer Science or equivalent.
  • 5+ years of software development experience.
  • Experience optimizing software for specialized hardware (parallelism, SIMD, assembly, GPU/CUDA).
  • Proficient in assembly, C/C++, Zig, or Rust.
  • Hybrid role requiring three days/week in Mountain View, CA office (Tue-Thu).

Responsibilities

  • Design and optimize kernels that interface directly with our hardware.
  • Work in partnership with our ML Research and Hardware Engineering teams.
  • Provide expertise on hardware architecture from a programmer’s perspective, ensuring seamless integration with the software stack.

Skills

Software development
Parallel programming
SIMD programming
C programming
C++ programming
Rust programming
Zig programming
GPU/CUDA programming
Hardware architecture knowledge

Education

Bachelor of Computer Science or equivalent degree

Job description

MatX is building a compute platform for AGI, focusing on full-stack solutions from silicon to systems and using Rust. The candidate will design and optimize kernels interfacing with hardware, and collaborate with ML research and hardware engineering teams in a hybrid Mountain View, CA role.

The ideal candidate has 5+ years of software development experience and deep knowledge of parallelism, SIMD, and low-level optimization in C/C++, Rust, or Zig, with a focus on hardware-aware software.

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