Software Engineer - Kernels

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

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Verification

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Salary

$120K-$275K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

69% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer - Kernels Mountain View, CA What MatX Is Building 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 . What You'll Do Here - 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 Who You Are - Bachelor of Computer Science or equivalent degree - 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 Bonus Points If You Have - Experience implementing kernels for ML models such as Transformers - Experience using and implementing distributed parallelism techniques such as AllReduce, AllToAll, data parallelism, tensor parallelism. - Familiarity with how compilers work Compensation The US base salary for this full-time position is determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation. - Early Career - $120,000

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