Staff AI Product Engineer, FW/SW

PsiQuantum

United States

Remote

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

PsiQuantum seeks a Staff AI Product Engineer (FW/SW) in Milpitas, CA, with remote flexibility, to lead firmware and software for complex embedded systems in our hardware engineering area.

The role requires deep C/C++ expertise, RTOS/embedded Linux experience, and Python-driven automation for system test and data analysis, enabling precise hardware control and integration in quantum-scale devices.

Qualifications

  • BS/MS in Electrical/Computer Engineering, Physics or related field.
  • Significant professional firmware/software experience for complex embedded systems.
  • Strong programming in C/C++ for embedded environments with hardware control.
  • Experience with Python for automation, system test and data analysis.

Responsibilities

  • Develop firmware and software for embedded systems interfacing with hardware.
  • Work with RTOS and embedded Linux environments to control hardware.
  • Analyze system performance and implement closed-loop control strategies.
  • Collaborate with hardware and software teams to deliver integrated solutions.

Skills

Embedded systems hardware
Feedback control systems
Memory architectures & interrupts
Concurrency & hardware interfaces

Education

BS or MS in Electrical Engineering or related field

Tools

C/C++ for embedded systems
Python for automation
RTOS / embedded Linux

Job description

Staff AI Product Engineer, FW/SW at PsiQuantum, Milpitas, California, United States (remote). A lead-level full time position in the Engineering team, listed under hardware engineering.

PsiQuantum's mission is to build the first useful quantum computers: machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry, including partners like GlobalFoundries, we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don't feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. That approach has since been tested at the highest level of scrutiny the U.S. government applies to emerging technology, and it has held up. In 2025, PsiQuantum closed a $1 billion funding round that valued the company at $7 billion. In 2026, the U.S. Department of Commerce signed a $100 million Letter of Intent under the CHIPS and Science Act, followed by a $125 million agreement with DARPA under Stage C of its Quantum Benchmarking Initiative, PsiQuantum's most valuable U.S. government agreement to date. This year, we also broke ground on our utility-scale quantum computer in Brisbane, Australia, and continued building out our Chicago site. Victor Peng, our CEO, and co-founder Jeremy O'Brien, now Executive Chairman, lead a team and board that reflects how seriously the world is taking this build, joined this year by Intel's Lip-Bu Tan and Atomico's Niklas Zennström. PsiQuantum also develops the algorithms and software needed to make these systems co

Requirements
  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, Controls Engineering, Physics, or a related technical discipline.
  • Significant professional experience developing firmware and software forcomplex embedded systems.
  • Strong programming experience inC/C++ for embedded systems.
  • Experience with Python or similar languages for automation, system test, data analysis, and hardware control.
  • Strong understanding of embedded processors, microcontrollers, memory architectures, interrupts, timing, concurrency, and hardware interfaces.
  • Experience withRTOS and/or embedded Linux environments.
  • Demonstrated experience developing software that directly controls physical hardware.
  • Strong understanding offeedback and closed-loop control systems.
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