Drimva

Bedrock Robotics

2027 Internship Safety Engineer, Agentic Safety Case Assessment

San Francisco, CA · On-site · Internship · Posted Sep 25, 2026

Education
Undergraduate or graduate students; no specific degree or field stated.

About the job

Develop and evaluate a formal safety claim for autonomous excavators using Lean, LLM-assisted proving, and fleet data.

What you'll do

  • Trace safety claims through hazards, requirements, mitigations, and evidence; formalize one claim and build a Lean checker with a correctness proof.
  • Develop fleet-data checks and audit tooling for LLM-assisted proofs, documenting assumptions and toolchain trust.
  • Review specifications with Safety, Systems, and Autonomy teams, and document results, limitations, and recommendations.

What they ask for

  • Hands-on experience with Lean and mathlib, particularly real analysis or probability.
  • Working knowledge of probability and statistics, including distributions, confidence intervals, and tail bounds.
  • Familiarity with knowledge graphs or structured document analysis.
  • Ability to formalize informal claims and identify assumptions; experience evaluating LLM-generated code or proofs; background in safety-critical robotics, autonomous vehicles, or heavy equipment.

Nice to have

  • 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.

Tools

Lean, mathlib, LLM, Rust, Aeneas, Verus, Kani

AI focus

Explore LLM-assisted proving and evaluate LLM-generated code or proofs; build audit tooling for automated proofs.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)