2027 Internship Safety Engineer, Agentic Safety Case Assessment

Bedrock Robotics

San Francisco, CA

On-siteCareer-pivot friendly

Who this role is best for

Best suited to candidates with formal methods and safety-critical robotics experience working in the construction and autonomous systems domain.

Best fit for

Candidates with formal methods and safety-critical robotics experience working in the construction and autonomous systems domain
— “Background in autonomous vehicles, heavy equipment, or other safety-critical robotics”
Candidates with experience in LLM-assisted proving and audit tooling development
— “Build audit tooling for LLM-assisted proving: record proof dependencies, document toolchain trust assumptions”

Things to consider

The role requires a strong grasp of formal verification and safety case documentation practices
— “formal methods and LLM-assisted proving can strengthen that argument”

How to stand out

Highlight experience with formal verification tools like Lean and mathlib in your resume and interviews
— “Hands-on experience with Lean and mathlib experience, particularly real analysis or probability.”
Emphasize your ability to analyze and document safety claims with structured rigor
— “Become fluent in Bedrock's safety case and trace safety claims through the hazards, requirements, mitigations, and evidence that support them”
Showcase any background in evaluating LLM-generated code or proofs
— “Experience evaluating LLM-generated code or proofs.”
Demonstrate familiarity with safety assurance frameworks like ISO 13849 or IEC 61508
— “Exposure to safety or assurance-case practice (GSN, UL 4600, ISO 13849, IEC 61508)”
Demonstrate a track record in translating abstract claims into technical specifications
— “Ability to translate informal claims into precise specifications and identify their assumptions”

Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Formalizing safety claims
Implementing checkers in Lean
Evaluating LLM-generated code

Typical background

Background in formal methodsExperience with autonomous vehicles

Skills & requirements

Required

LeanMathlibProbabilityStatisticsLlm-assisted Proving

Preferred

Safety Case PracticeRust Verification ToolsKnowledge Graphs

Stack & domain

LeanMathlibProbability And StatisticsKnowledge GraphsLlm-assisted ProvingAudit ToolingFormal SpecificationsSafety Case ImprovementsProblem-solvingTeamworkCommunicationLeadershipSafety EngineeringFormal MethodsStatisticsField Robotics

About the role

Original posting from Bedrock Robotics via Ashby

JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
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.
ABOUT THE ROLE & TEAM
Putting an autonomous 40-ton excavator on a live jobsite means being able to say, precisely, what we know about its safety and what that knowledge rests on. Today that argument lives in hazard analyses, requirements, tests and logs, linked by hand.
As a Safety Engineering intern, you’ll explore how formal methods and LLM-assisted proving can strengthen that argument. Working at the intersection of formal methods, statistics, and field robotics, you’ll formalize a narrowly scoped safety claim, verify a checker in Lean, and evaluate it on real fleet data, with explicit assumptions and auditable results.
WHAT YOU'LL DO
Become fluent in Bedrock's safety case and trace safety claims through the hazards, requirements, mitigations, and evidence that support them
Build an end-to-end demonstration for one claim: define the property and assumptions, implement a checker in Lean, prove its correctness against the specification, and run it on fleet data
Develop checks for assumptions that can be monitored in fleet data, and document those that require other evidence
Build audit tooling for LLM-assisted proving: record proof dependencies, document toolchain trust assumptions, and reject proof placeholders or unapproved axioms in automated builds
Work with Safety, Systems, and Autonomy teams to review formal specifications and turn findings into safety case improvements
Document the results, limitations, and recommendations for adoption in our review process
WHAT WE'RE LOOKING FOR
REQUIRED
Hands-on experience with Lean and mathlib experience, particularly real analysis or probability.
Working knowledge of probability and statistics (distributions, confidence intervals, tail bounds).
Familiarity with knowledge graphs or structured document analysis
Ability to translate informal claims into precise specifications and identify their assumptions
Experience evaluating LLM-generated code or proofs.
Background in autonomous vehicles, heavy equipment, or other safety-critical robotics.
PREFERRED
Exposure to safety or assurance-case practice (GSN, UL 4600, ISO 13849, IEC 61508) or runtime verification.
Experience with Rust verification tools (Aeneas, Verus, Kani) or differential/property-based testing.
Familiarity with knowledge graphs or structured document analysis
Background in autonomous vehicles, heavy equipment, or other safety-critical robotics
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.

Source: Bedrock Robotics careers (Ashby)