Phinitylabs

HW/SW Codesign Lead

1w ago
USALead
Phinitylabs

HW/SW Codesign Lead

1w ago
USALeadfirmwaredriversruntimehardware/software interface

Leading HW/SW codesign engineering focusing on hardware/software interface design, firmware, drivers, and runtime development for edge compute chips using AI to accelerate development.

Responsibilities

  • The HW/SW Codesign Engineer role is for an engineer who works at the boundary between silicon and software and wants to define how a new chip actually gets used, heavily using AI to speed up development. Some example responsibilities include:
  • Design the hardware/software interface for edge compute chips: the programming model, command processors, memory movement, and runtime-visible scheduling that let software drive the hardware
  • Build and own the firmware, drivers, and runtime for chip bring-up and expose its capabilities to software
  • Make co-design tradeoffs across the boundary, deciding what belongs in hardware, firmware, or software, and own the technical bar for how they fit together
  • Validate the subsystem across emulation, FPGA, and bring-up, making sure software-visible behavior matches intent

Requirements

  • 6+ years building across the HW/SW boundary: firmware, drivers, runtimes, or embedded systems, with a working understanding of the underlying silicon
  • Knowledge of how accelerators and SoCs are programmed: command and queue models, DMA and memory movement, scheduling, and instruction or ISA interfaces
  • Experience using AI to develop hardware or software
  • Strong communication skills and willingness to try new methods in ambiguous and fast-moving environments

Other

  • 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.
  • → Build a real chip with unlimited AI usage
  • → Access non-publicly released foundation models and learn what the frontier of intelligence is before everyone else
  • → Own the hardware/software interface for a novel chip end-to-end
  • 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