Principal AI Developer Experience Engineer
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Before you apply
Salary$170k – $200k
LocationBoulder, CO
Work modehybrid
Typefull-time
SeniorityLead
Experience8+ yrs
DepartmentSoftware Engineering
EquityIncluded
Company size201–500 people
PostedOct 15, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Master’s or PhD in Computer Science, Software Engineering, or Artificial Intelligence
8+ years of software development
Strong software engineering skills in Python
Experience writing embedded software in C++ or Rust, including manual memory management, hard real-time constraints, and kernel device driver implementation
Influencing an organization of > 50 engineers using AI agents (Claude Code, Cursor, or GitHub Copilot) on a daily basis, identifying pitfalls and measuring impact
Working knowledge of how LLMs behave in practice: context management, prompting, agentic workflows, harnesses, effective safety practices, tool use, and judging output quality
Clear written and spoken communication with audiences ranging from physicists to new software hires
An ability to influence a multi-discipline engineering organization
Skills
Python
C++
Rust
Claude Code
Cursor
GitHub Copilot
LLM
FPGA
Benefits
Health insurance
Dental insurance
Vision insurance
Unlimited PTO
401(k)
Short term disability
Long term disability
Life insurance
Dependent care benefits
Equity
About the company
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.
About the role
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
•
Define, document, and maintain best practices for AI-assisted coding, testing, code review, and research workflows.
•
Influence guidelines for using LLMs on performance-critical software, including embedded C++ and Rust, RTOS applications, and kernel device drivers: where AI assistance is appropriate, how generated code is reviewed and tested, and how memory safety, timing, and determinism are verified before merge.
•
Make forward-looking electronics architecture improvements to our AI tooling and integrations so they keep pace with advances in models and agents and with shifts in engineers’ tool preferences, and track industry benchmarks for AI-assisted developer productivity so our practices stay current.
•
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.
•
Ensure safe and reliable operation of AI in quantum processors.
Experience & Education
•
Master’s or PhD in Computer Science, Software Engineering, or Artificial Intelligence
•
8+ years of software development
Qualifications
•
Strong software engineering skills in Python, and experience writing embedded software in C++ or Rust, including manual memory management, hard real-time constraints, and kernel device driver implementation.
•
Influencing an organization of > 50 engineers using AI agents (Claude Code, Cursor, or GitHub Copilot) on a daily basis, identifying pitfalls and measuring impact.
•
Working knowledge of how LLMs behave in practice: context management, prompting, agentic workflows, harnesses, effective safety practices, tool use, and judging output quality.
•
Clear written and spoken communication with audiences ranging from physicists to new software hires. An ability to influence a multi-discipline engineering organization.
Benefits
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.