FewerJobs.
All jobs

Software Engineer - Simulators

MatX - Mountain View, CA

Posted Aug 13, 2024

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified
Salary
Not verified not verified - source not recorded; timestamp not recorded
401(k) match
Not verified not verified - source URL not recorded; timestamp not recorded

Was this benefit information wrong? Tell us.

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer - Simulators 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 - Develop and maintain functional and performance models of our hardware - Develop tools and infrastructure to aid in efficient correlation, debug, and testing - Collaborate with model customers: architecture, verification/validation, compiler, and runtime teams - Contribute to architectural decisions and reviews - Investigate and implement performance optimizations Who You are - Bachelor of Computer Science or equivalent degree - Excellent software engineering skills, with a focus on maintainable performant - Strong foundation in computer architecture fundamentals - Excellent cross-functional communication skills - Rust experience AND/OR experience writing cycle-accurate simulators - 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 - Deep knowledge of Machine Learning Accelerator architectures - Experience with benchmarking and optimizing code - Familiar with processor, memory, and networking architectures - An understanding of Power, Performance, Cost tradeoffs 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. -

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.

Apply at job-boards.greenhouse.io

Apply link not verified; last-live date unavailable.

What verified means

Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.

Related jobs