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Phinity is hiring a software engineer to build the internal platform our engineers rely on daily, leveraging AI to speed up development. You'll collaborate with hardware engineers to turn workflows into fast, reliable software.
You'll work across the stack—from containerized workflows and infrastructure to the interfaces engineers use—while shipping robust, maintainable systems on a fast-moving team in San Francisco.
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.
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:
Experience with infrastructure (Python, containers, orchestration) and/or platform engineering is a strong plus.
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: