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Safety Engineering Manager - Mining Deployments

$195K–$240K

San Francisco, CA +1 · Manager · Full-time · Posted Oct 1, 2026

Location
San Francisco, CA
San Francisco, California, United States
Experience
8+ years; mining experience is not required.

About the job

Leads safety engineering for autonomous haulage deployments, owning safety cases, hazard analysis, testing, commissioning readiness, incident response, change assessment, and AI-enabled safety tooling.

What you'll do

  • Build and maintain the truck safety case; conduct hazard analysis and define site controls, requirements, tests, and acceptance criteria.
  • Set commissioning readiness gates, lead incident investigations and corrective actions, and assess changes to software, trucks, and site layouts.
  • Lead a small team and build and maintain AI-enabled tools for site risk assessments, procedures, event triage, and cross-site pattern detection.

What they ask for

  • 8+ years in systems safety, safety engineering, or a closely related systems discipline in a safety-critical domain.
  • Have built a safety argument from scratch and defended its sufficiency; demonstrate structured system- and operational-level hazard analysis.
  • Have written an investigation, triage, qualification, or equivalent process; be comfortable leading one or two people while personally authoring the safety case.
  • Python or SQL sufficient to work with event data; willingness to travel to sites when needed.

Nice to have

  • Off-road, heavy vehicle, or industrial machinery experience; working knowledge of US mine safety regulation, including MSHA Parts 46, 48, and 50.

Pay

USD $195,000 - $240,000 per year base salary

Tools

Python, SQL, MSHA Part 46, MSHA Part 48, Part 50

AI focus

Use AI tooling to draft and maintain site risk assessments, adapt procedures, triage event backlogs, and identify patterns across sites. Build and maintain tools; verify generated hazard lists with human review and site evidence.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)