Why This Role Stands Out
As a Software Engineer at Phinitylabs, you'll develop the AI-driven platform that accelerates chip design, offering significant career growth within a pioneering company at the forefront of AI and silicon innovation. This role is ideal for adaptable engineers passionate about building robust backend systems and tooling that empower hardware engineers to create cutting-edge technology. Apply to join an exceptional team and make a real impact on the future of chip development.
Quick Overview
Job Description
About Phinity
Phinity is building prompt-to-silicon. We are creating the closed-loop system that lets AI agents design, verify, optimize, and tape out chips end-to-end. By 2028, any company will be able to specify a set of requirements for a chip and Phinity will deliver them a GDS file in weeks, not years.
We are working with leading frontier model labs and growing exponentially. Our team brings together deep AI and silicon expertise: training chip-design models at NVIDIA, doing formal reasoning post-training at scale, exiting a synthetic data company, leading the LPU team at Groq, and building chips at AMD, Intel, and MediaTek for over 10+ years. We are building an exceptional, highly efficient team to dismantle the current chip industry.
The Role
We are hiring a software engineer to build the internal platform our engineers rely on every day, heavily using AI to speed up development. You'll work closely with our hardware engineers to turn their workflows into fast, reliable software. Some example responsibilities include:
Build and maintain the internal platform our hardware engineers use to create, run, and validate the structured tasks and datasets at the core of our work
Engineer robust data pipelines and the backend services and tooling around them
Work across the stack as needed, from containerized workflows and infrastructure down to the interfaces engineers interact with
Requirements
2+ years writing production software, with a strong software engineering foundation
Comfort working across the stack and a bias toward shipping reliable, maintainable systems
Experience using AI to write software
Strong communication skills and willingness to try new methods in ambiguous and fast-moving environments
Experience with infrastructure (Python, containers, orchestration) and/or platform engineering is a strong plus.
Why you should work with us
→ Build the platform the whole company runs on, with unlimited AI usage
→ Access non-publicly released foundation models and learn what the frontier of intelligence is before everyone else
→ Wide ownership and room to grow fast on a small, high-caliber team
We offer competitive salary and equity. We work in-person from SF and also have benefits including:
Health insurance
Retirement plans
Unlimited PTO
Paid parental leave
Lunch and dinner provided in-office