Robot Learning Engineer

Relling Inc; San Francisco, Northern (CA, KY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Relocation support

Job summary

Relling Inc in San Francisco is seeking engineers to build robotic cells for real production environments. You will develop and ship hybrid robotic systems that operate on factory floors, integrating perception, motion, and learned policies with robust tooling and safety.

You will collaborate across research and production, distill models for edge deployment, and create diagnostic surfaces for technicians. Relocation support is offered; this role emphasizes shipping reliable infrastructure that

Qualifications

• Experience deploying robotic systems into production environments with uptime accountability.
• Hands-on across the robotics stack: motion planning, controls, perception, state estimation, runtime software, end-of-arm tooling, hardware bring-up.
• Strong software engineering and infrastructure skills: data pipelines, training systems, evaluation frameworks, observability tooling, runtime monitors, fault isolation.
• Familiarity with foundation-model robotics and edge compute tradeoffs for production systems.
• Comfort working in safety-critical environments; familiarity with ISO 10218 / ISO TS 15066 is a plus.
• Ability to translate floor failures into rapid, shipping fixes.

Responsibilities

• Build and ship hybrid robotic cells that deploy into specialty manufacturing operations; cells run on the floor, not in a lab.
• Develop and extend manipulation primitive library to decompose tasks into reusable sub-skills.
• Productize integration tooling, safety dossier framework, and observability spine for stable interfaces.
• Run cells in continuous production at client sites; diagnose failure modes that emerge under real-world use.
• Distill frontier vision-language-action models for edge deployment on production compute.
• Create technician-facing diagnostic surfaces to interrogate learned-policy cells and resolve drift.
• Collaborate with research partners to bring models into production under operational constraints.

Skills

Experience deploying robotic systems

Motion planning

Controls

Perception

State estimation

Runtime software

End-of-arm tooling

Hardware bring-up

Data pipelines

Training systems

Observability tooling

Runtime monitors

Fault isolation

Foundation-model robotics

Edge compute

Safety-critical environments

ISO 10218 / ISO TS 15066 familiarity

Job description

deploying the first billion robots for manufacturing

San Francisco, CA, US Full-time US citizen/visa only Any (new grads ok)

Relling is building the deployment layer for physical AI. We deploy hybrid robotic cells — classical motion composed with learned manipulation primitives — into specialty manufacturing operations across the defense industrial base. Our cells run today inside our own factory and on partner floors, and the work to make them run reliably under real production conditions is the work we're hiring you to do.

In this role, you'll build robotic cells that operate in real production environments with real consequences when they stop. You'll work across the full deployment stack: perception, motion, learned policies, observability, safety, and technician interfaces. The focus is shipping infrastructure that works on a factory floor, not on a benchmark. The work compounds: every primitive you build, every failure mode you instrument, every reliability fix you ship becomes part of the deployment layer every future cell ships on.

What You'll Do

• Build and ship hybrid robotic cells that deploy into specialty manufacturing operations. Cells run on the floor, not in a lab.
• Develop and extend Relling's manipulation primitive library — pick, place, insert, align, trace, press, inspect — that decomposes complex manufacturing tasks into composable, debuggable, reusable sub-skills.
• Productize the integration tooling, safety dossier framework, and observability spine that turns one-off cell bring-ups into configuration against stable interfaces.
• Run cells in continuous production at Fuselage and at partner sites. Diagnose failure modes that only emerge under sustained operation against real customer SKUs.
• Distill frontier vision-language-action models for edge deployment, retaining research-grade behavior on production compute.
• Build the technician-facing diagnostic surface that lets a maintenance technician interrogate a learned-policy cell and resolve drift without external escalation.
• Collaborate with research partners at frontier foundation-model labs to bring their best models into production environments under real operational constraints.

Competencies and Skills

We're looking for engineers who combine strong robotics and ML systems intuition with the operational discipline to ship cells that survive contact with real production. Strong candidates typically have many of the following:

• Experience deploying robotic systems (classical or learned) into production environments with uptime accountability.
• Hands-on experience across the robotics stack: motion planning, controls, perception, state estimation, runtime software, end-of-arm tooling, basic hardware bring-up.
• Strong software engineering and infrastructure skills: data pipelines, training systems, evaluation frameworks, observability tooling, runtime monitors, fault isolation.
• Familiarity with foundation-model robotics (VLAs, imitation learning, RL fine-tuning) and the practical engineering tradeoffs of running them on edge compute.
• Comfort working in safety-critical environments. Familiarity with ISO 10218 / ISO TS 15066 or equivalent industrial safety standards is a plus.
• The ability to move from a failure mode observed on the floor to a fix that ships in days rather than quarters.

Based in San Francisco (Potrero Hill) with regular on-floor work at Fuselage and partner sites. Relocation supported.

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