Senior Software Engineer
At a glance
Why this role might suit you
The role offers ownership of core AI platform systems, exposure to cutting‑edge hardware‑adjacent AI research, and collaboration with experienced engineers from leading semiconductor firms, providing a unique blend of software engineering and hardware insight.
Skills
About the role
This role requires work from our Bay Area office near Menlo Park.
The Role You'll design, build, and ship core systems that power our AI platform. You'll work across the stack—backend services, infrastructure, APIs, and product features—and have real ownership over what you build. Expect to move between greenfield work, hardening existing systems, and to have your fingerprints on architecture decisions that matter.
About Voltai Voltai is developing models and agents to evaluate, design, and interact with hardware and electronic systems.
The Team We're hackers, researchers, and operators obsessed with building AI for electronic systems and semiconductors. Our team includes former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Despite the name drops, we care far more about execution than titles.
We're backed by Stanford, Sequoia, and leadership at Google, AMD, Broadcom and more. In other words, we have deep, deep access to the industry.
What You'll Do
- Ship features end-to-end working closely with research and product.
- Improve foundations: performance, reliability, observability, developer velocity.
- Raise the engineering bar through code review ad design discussions.
- Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed.
What We're Looking For
- 5+ years building production software. Internships and teaching assistantships don't count.
- Strong knowledge of agent development, evaluations
- Fluency in at least one backend language used in modern infrastructure (Python, Go, Rust, TypeScript, etc.)
- A track record of owning meaningful systems or features and not just contributing to them.
Bonus Points For
- Experience in EDA, semiconductor, or hardware-adjacent software environments
- Background in ML infrastructure, model training, or model serving
- Experience at an early-stage startup where you wore multiple hats
Our AI Bullshit Meter We are very good at catching people who use AI to exaggerate their abilities whether on paper or during interviews. Please don't waste our time.
Questions about this role
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