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PhD Residency - Hardware Engineering - SandboxAQ

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Job Title
PhD Residency - Hardware Engineering
Job Location
San Francisco, California
Job Description

Ready to join the AQ era?

SandboxAQ is solving challenging problems with AI + Quantum for positive impact. We partner with global leaders in government, academia, and the private sector to identify applications that would benefit from quantum-based applications to current and future commercial challenges. We engage with customers early and throughout the development process to improve market fit.

Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough AI + Quantum solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar.

We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM.

Residencies at SandboxAQ

If you’re a graduate student in STEM ready to bring the new AI + Quantum era to the world, consider joining our residency program at SandboxAQ.

We are currently looking for PhD students in a wide variety of STEM fields — physics, computer science, AI, neuroscience, chemistry, cryptography, mathematics/statistics, biomedical engineering, aerospace engineering, geophysics, and more — to join our world-class team of engineers, scientists and technologists.

Hardware Engineering Resident 

The SandboxAQ Quantum Sensing Team deploys state-of-the-art hardware to expand capabilities in medical diagnosis, GPS-free navigation, and autonomous vehicles. We are looking for a Hardware Engineering Resident to join our dynamic team! The successful candidate will contribute to our rapid product prototype iterations as we assemble, code, test, validate, and deploy biomedical sensor systems. You will work closely with Engineers/Scientists that are developing machine-learning models and AI software applications based on the novel data from these sensor systems.  

Typical things you may do:

  • Rapidly assemble prototype hardware and deploy it in validation experiments.
  • Capture and analyze readings from sensors, presenting your findings to the core team.
  • Design parts and fixtures for test stations (thermal, acoustic, and vibration) and for product prototyping.
  • Collect and prioritize design requirements based on user/patient feedback.
  • Investigate and implement solutions to improve device performance.
  • Write high level Python code to interface with and control hardware elements using a GUI.
  • Collect large data sets to empower downstream machine learning.

We are looking for candidates who have:

  • Experience designing, building, and using hardware.
  • Eagerness to iterate on real hardware quickly, one feature at a time.
  • Ability to work closely and communicate clearly with other team members.
  • Hands-on experience in Mechanical Engineering, Electrical Engineering, Systems Engineering, and/or Experimental Physics.
  • Strong experimental skills and a hands-on approach to problem solving

Additional skills that could come in handy:

  • Proficiency in Python for data acquisition and autonomous system design.
  • Proficiency with Linux for deployed device testing.
  • Experience with field testing.
  • Proficiency in making cables, soldering, and ability to design schematics.
  • Proficiency in CAD design
  • Expertise fabricating custom mechanical parts and fixtures.


  • Location: Onsite in SF Bay, CA
  • Start date: Year-round, on a rolling basis
  • Duration: Flexible, typically between 4 months to one year


  • Currently enrolled in a STEM PhD program: math, computer science, engineering, physics, or related field. **Non-PhD post-graduate students may be considered on a case-by-case basis (e.g. MD, Masters)
  • Proficiency with at least one programming language (Python, C/C++, Matlab, etc.)
  • For questions, email

What to Expect:

  • Work on a technical project with scientists and engineers on one of our core teams
  • Engagement with fellow residents
  • Competitive compensation
  • Present findings to the rest of Sandbox AQ
  • Have fun!


SandboxAQ welcomes all.

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in quantum technology.
We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. 
Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Accommodations: we provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation.

SandboxAQ Headquarters Location

Palo Alto, CA

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SandboxAQ Company Size

Between 100 - 500 employees

SandboxAQ Founded Year


SandboxAQ Total Amount Raised


SandboxAQ Funding Rounds

View funding details
  • Series Unknown

    $500,000,000 USD