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About the Role

Bedrock is building a company that scales with data, compute and agents, so that each new capability, machine and decision costs less and lands faster than the last. Agents already do real work here, at scale: they triage field issues, assemble release evidence, draft plans and write most of our code. You'll own the product for the agent platform and robotics auto-research, end to end.

Responsibilities

Set the strategy and roadmap for agents and auto-research at Bedrock.
Decide which loops to build next based on how much they move capability, cost and speed.
Define what it takes for an agent to be load-bearing: the evals, reliability bar, human oversight and feedback loop a team needs before it relies on one.
Turn auto-research from a few promising loops into a production system, with budgets, verdicts, provenance and a clear line from experiment to a capability that ships.
Own the metrics that show whether this works, such as agent adoption, the share of capability work done by auto-research, and cost and time per result.
Get metrics measured and goaled.
Make internal systems agent-ready so agents can read, act and be held accountable across data, simulation, code, planning and decisions.
Keep us model-agnostic as the frontier moves.
Build and prototype agents, evals and workflows yourself with AI coding tools instead of writing specs about them.
Help drive adoption across engineering, operations and commercial teams.
Be the person who knows when an agent should not be trusted.

Requirements

5+ years in product, research or engineering roles, including shipping LLM agents or AI systems that people rely on in production.
Hands-on depth in how frontier models and agents behave: harnesses, tool use, context, evals, cost and failure modes.
Experience designing evaluations for open-ended model behavior and making product calls from them.
AI-native in your own work; use AI coding tools daily, read code fluently and ship prototypes.
Comfort with ML experimentation and research workflows.
Clear, concise writing; turn ambiguous direction into a plan with measurable outcomes.
A track record of agency: taken a problem nobody owned and carried it to a real result.
Experience at a frontier AI lab or AI-native startup working on agents, evals, RL environments or automated research.
Background in robotics, autonomy, simulation or ML infrastructure.
Built an internal developer or research platform adopted across many teams.
Published research or open-source work on agents, evals or AI for science.

Skills

LLM agents
AI systems
Frontier models
Agent behavior
Tool use
Context management
Evaluation design
Cost analysis
Failure mode analysis
AI coding tools
ML experimentation
Research workflows
Robotics
Autonomy
Simulation
ML infrastructure
Internal developer platforms
Internal research platforms

Location

Remote

Work Type

Full-time

Experience Level

5+ years

About the Company

At Bedrock, we're moving AI out of the lab and onto real job sites.
Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue.
We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites.
We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic.
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B.
We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots.
You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch.
If you're ready to do meaningful work on hard problems, we'd love to have you join us.
A real-world test bed. Experiments close against physical ground truth from a live fleet, not a leaderboard.
Agents as the operating model, not a side project. Our tech scaling plan assumes agents and auto-research do a growing share of the work, and leadership measures it.
Scope and speed. You'll own a frontier problem at a company small enough that what you ship changes how everyone works within weeks.

Equal Opportunity

Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace.
We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone.
If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.