Clera
via Ashby
Founding Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-09-13). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
New York
The description agrees: it names United States.
What the ad says
…authorized to work in the United States without visa sponsorship…
Pay
$150k–220k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 1d ago · last seen 2h ago
The listing
About the Role
This is a founding engineering role at an early-stage AI startup building systems that accelerate hardware engineering workflows for defense and medical device companies. You will partner directly with the CTO to own all technical execution, from architecture through production delivery, setting the engineering standard for every hire that follows.
What You'll Do
Design and build the core architecture that integrates AI agents with CAD, CAE, and PLM tools, while meeting the security requirements of defense and medical customers.
Own end-to-end engineering delivery including design decisions, reliability, observability, evaluation suites, regression testing, and on-call operations.
Ship production AI workflows into live customer programs that practicing engineers rely on daily.
Build evaluation and training loops that improve the system from simulation runs, test data, engineer corrections, and field outcomes, including reinforcement learning grounded in real physics.
Sit alongside engineers at partner companies, identify where the system fails against real deadlines, and translate those learnings into platform capabilities.
Contribute to the roadmap and execute on it quickly inside real engineering programs.
Expand the platform across multiple operating companies, driving measurable cycle-time reduction, while building and mentoring a small engineering team.
What We're Looking For
4 or more years shipping software to production, including systems that real customers depended on daily.
Proven track record putting AI in production: shipped LLM agent workflows that call real tools, handle failure gracefully, and are held to rigorous evaluation suites.
Strong Python and backend or ML systems engineering skills, with sound judgment on when to use retrieval, fine-tuning, reinforcement learning, or plain software.
Experience at a high-growth technology company with strong engineering standards.
Strong CS fundamentals, ideally from a rigorous academic background.
Excellent communication and ability to earn trust with experienced domain engineers on the shop floor.
Experience in frontier or applied AI, industrial software, simulation, CAD/CAE/EDA, or physical-world AI is a strong plus.
Prior exposure to reinforcement learning or fine-tuning in production systems is a plus.
Low ego, high standards, and comfortable traveling regularly to partner engineering sites.
Must be authorized to work in the United States without visa sponsorship.
Compensation and Benefits
Base salary: $150,000 to $220,000 USD annually. Equity is available as part of the total package. Visa sponsorship is not available for this role.
Location
This is a full-time, on-site role based in New York City, NY. Regular travel to partner engineering companies is expected.