Software Engineer
Job Description
Software Engineer – High Performance Systems / ML Infrastructure
Location: Mountain View, CA (Hybrid – 3 days onsite)
A well-funded, high-growth deep tech company is building next-generation compute infrastructure to support large-scale machine learning workloads.
This is a rare opportunity to work across the full stack — from hardware interaction through to system-level performance — in a team focused on solving some of the hardest problems in compute.
What you’ll be doing
- Build and maintain functional and performance models of custom hardware
- Develop tools to support debugging, validation, and performance analysis
- Work closely with architecture, compiler, runtime, and validation teams
- Contribute to system and architectural decisions
- Identify and implement performance improvements across the stack
What they’re looking for
- Strong software engineering fundamentals with a focus on performance and maintainability
- Solid understanding of computer architecture
- Experience working in low-level or systems environments
- Ability to work cross-functionally with hardware and software teams
Nice to have:
- Rust experience
- Experience with simulators or hardware modeling
- Exposure to ML infrastructure or accelerator architectures
- Familiarity with performance optimization and benchmarking
Why this role stands out
- You’ll be working on real, hard engineering problems at the intersection of hardware and software
- The team is small, highly technical, and moves quickly
- High level of ownership and impact on core system design
- Strong compensation with flexibility between cash and equity
Compensation
- Broad range depending on experience:
- $220k – $400k base + equity
- Flexible cash vs equity structure
