Bluespec Design Engineer

MatX

Posted 3 months ago

Full Time

Mountain View, California

Hybrid

Smart Summary

Responsibilities

The successful candidate will be responsible for delivering performant silicon RTL at the full-chip or subsystem level. You will build production hardware and develop reusable Bluespec libraries while shaping hardware architecture.

Qualifications

MatX is looking for a Bluespec Design Engineer with strong Haskell skills to develop high-performance silicon RTL. While hardware experience isn't required, candidates should be proficient in Haskell, comfortable with monads and typeclasses, and willing to learn Bluespec Haskell (BH). Strong engineering fundamentals and familiarity with build systems and version control are also important.

Job Description

What MatX Is Building

MatX is seeking engineers with strong Haskell skills to join our team as we create best-in-class silicon for high-performance and sustainable GenAI. The successful candidate for this role will be responsible for delivering performant silicon RTL at the full-chip or subsystem level.

You will write hardware in Bluespec, a hardware description language rooted in Haskell's type system and semantics. If you've ever wished you could design hardware with the composability and correctness guarantees of a modern functional language, this is the role for you. You do not need prior hardware experience to apply — if you know Haskell, we will teach you the hardware side.

What You'll Do Here

  • Build production hardware for compute, memory management, and high-speed connectivity
  • Develop reusable, parameterized Bluespec libraries that scale across the chip
  • Shape hardware architecture by leveraging the power of Bluespec to explore implementation tradeoffs and converge on the best designs
  • Create innovative tooling for our hardware/software ecosystem to help us build correct, high-performance hardware faster

Who You Are

  • Proficient in Haskell — you're comfortable with monads, typeclasses, higher-order functions, and do-notation. You understand why return injects a value into a monadic context and what <- does in a do-block
  • Strongly willing to quickly ramp on Bluespec Haskell (BH)
  • Strong engineering fundamentals — you write clean, well-tested, well-documented code and are comfortable with build systems, version control, and CI workflows

Bonus Points If You Have

  • Existing experience with Bluespec
  • Prior hardware design experience — ASIC or FPGA. If you already understand clock domains, pipelining, state machines, synthesis, and timing closure, that's a significant advantage
  • Production Rust experience. If you know Haskell, Rust is easy, but if you've already used it on something real, that's a head start
  • lock.
  • Strongly willing to quickly ramp on Bluespec Haskell (BH).
  • Strong engineering fundamentals — you write clean, well-tested, well-documented code and are comfortable with build systems, version control, and CI workflows.

Bonus Points for:

  • Existing experience with Bluespec.
  • Prior hardware design experience — ASIC or FPGA. If you already understand clock domains, pipelining, state machines, synthesis, and timing closure, that's a significant advantage.
  • Production Rust experience. If you know Haskell, Rust is easy, but if you've already used it on something real, that's a head start.

Getting started with Bluespec:

What We Offer

  • A Stake in our success A cash/equity mix that fits your needs and option to do early exercise
  • 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.

MatX

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.
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