Software Engineer - Simulators
MatX - Mountain View, CA
Posted Aug 13, 2024
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- 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
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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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. -
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