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 are seeking a hands-on engineering TLM to lead the Kernel team. You will manage, mentor, and grow a team of kernel engineers while setting technical direction and executing. At the same time, you will be an active coding contributor by designing and implementing high-performance compute kernels for specialized AI hardware.
You will partner with the ML team to maximize output and improve diagnostic tools, and collaborate with hardware to co-design next-generation AI architectures.
What You'll Do Here
- Manage, mentor, and build a team of highly specialized kernel engineers and software developers
- 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
- 2+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 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
- Ability to navigate ambiguity, manage escalations, and align stakeholders around infrastructure decisions.
- Excellent communication and collaboration skills, with a track record of translating complex technical trade-offs with the founders and stakeholders
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 - $275,000 + equity
- Mid Career - $175,000 - $400,000 + equity
- Senior Career - $250,000 - $600,000 + equity
What We Offer
- A Stake in our success A flexible cash equity compensation mix that fits your needs
- Health & Wellness Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health Savings Accounts with generous company contribution (even if you don’t)
- Time To Recharge 4 weeks paid time off (accrued), 12 company holidays, and 3 weeks remote/flexible work per year
- Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood
- Learning & Development $1,500 yearly towards your professional development e.g. conferences, courses, and other learning opportunities
- Team Connection Team Lunches, quarterly off-sites, and regular town halls
- Financial Wellbeing 401K and/or Roth IRA, with 5% company contribution, even if you don’t!
- Flexible Spending Accounts Pre-tax spend accounts for medical, dental/vision, dependent care, parking, and transit expenses
- Commute On Us For those commuting up to 1 hour, put your rideshare cost on our company card and reclaim the drive-time to get work done!
- MatX E[x]tras $50 per month to use on the perks you care about most
- Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi expense reimbursement
As part of our dedication to the diversity of our team and our focus on creating an inviting and inclusive work experience, MatX is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.
All candidates must be authorized to work in the United States and work from our offices in Mountain View Tuesdays-Thursdays.
This position requires access to information that is subject to U.S. export controls. This offer of employment is contingent upon the applicants capacity to perform job functions in compliance with U.S. export control laws without obtaining a license from U.S. export control authorities.
MatX does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or People team and any resumes submitted are deemed to be the property of MatX.
Skills Required
- 2+ years of engineering team management experience
- 7+ years of engineering team experience
- Bachelor of Computer Science or equivalent degree
- Experience optimizing software for specialized hardware using techniques such as parallelism, SIMD programming, assembly-level optimization, or GPU/CUDA programming
- Proficiency in at least one of: assembly, C++, C, Zig, or Rust
- Ability to navigate ambiguity, manage escalations, and align stakeholders around infrastructure decisions
- Excellent communication and collaboration skills
- Authorized to work in the United States
- Ability to work from Mountain View offices Tuesdays-Thursdays (hybrid)
- Experience implementing kernels for ML models such as Transformers
- Experience with distributed parallelism techniques (AllReduce, AllToAll, data parallelism, tensor parallelism)
- Familiarity with how compilers work
What We Do
MatX designs hardware tailored for the world’s best AI models: We dedicate every transistor to maximizing performance for large models. For these models, we deliver 10× more computing power, enabling AI labs to make models an order of magnitude smarter and more useful. Our hardware would make it possible to train GPT-4 and run ChatGPT, but on the budget of a small startup. A world with more widely available intelligence is a happier and more prosperous world—picture people of all socioeconomic levels having access to an AI staff of specialist MDs, tutors, coaches, advisors, and assistants.








