$190K – $250K/yr
Principal AI Developer Experience Engineer
Role overview
Job description
At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing.
Atom Computing is seeking a Principal AI Developer Experience Engineer to improve how our physicists and engineers use AI in their daily work. You will set best practices for AI-assisted engineering and build shared tooling that lets teams quickly adopt new AI-driven workflows. You will also influence product architecture to broaden where LLM-driven workflows apply, including areas where hardware, timing, or reliability requirements have typically called for conventional methods. This role’s aim is to accelerate work in experiment analysis, optics development, PCB and FPGA design, and quantum control software (C++/Rust) development.
Due to the need to engineer physical systems, the role will be on-site in Boulder, CO at least 3 days per week.
Responsibilities
Experience & Education
Qualifications
Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day!
The base salary range for this position is between $170,000 - $200,000, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company.
About this listing
- Source: Atom Computing's official careers site (via Lever) · last confirmed on the source 6 Nov 2026
- Posted 15 Oct 2026
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What they are looking for
Skills & requirements
Qualification
You will also influence product architecture to broaden where LLM-driven workflows apply, including areas where hardware, timing, or reliability requirements have typically called for conventional methods; Build ways to measure the output of AI and LLM-driven workflows, such as defect and revert rates of AI-assisted changes, review findings, test coverage, performance regressions, new capabilities added, and time saved, and use the results to refine tools and guidelines
Department · Software Engineering
Hiring company
Atom Computing
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