Drimva

Agility Robotics

Senior Manager, Release and Issue Management

$217K–$281K

Hybrid- Fremont, CA +1 · Manager · Full-time · Posted Jun 10, 2026

Location
Hybrid- Fremont, CA
Fremont, California, United States
Experience
10+ years in a relevant engineering discipline; 5+ years leading engineering teams.
Education
Bachelor's degree in a listed or related field; Master's or PhD preferred.
Visa sponsorship
Applicants must have current authorization to work in the United States.

About the job

Leads the organization responsible for investigating software issues affecting Agility Robotics’ humanoid fleet and managing software releases that incorporate verified fixes.

What you'll do

  • Lead issue triage, technical investigations, root cause analysis, and defect prioritization with software development teams.
  • Own release planning, readiness, validation, and deployment coordination across software, validation, and field teams.
  • Build and lead the organization, processes, diagnostic tools, and analytics for improving fleet reliability and release effectiveness.

What they ask for

  • 10+ years in software engineering, systems engineering, diagnostics, release management, or related engineering disciplines supporting complex robotic or autonomous systems.
  • 5+ years leading and managing engineering teams, including senior and staff-level engineers and technical leaders.
  • Experience leading complex software investigations and root cause analysis, and establishing release management processes for production or customer fleets.
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Systems Engineering, Robotics, or a related field.

Nice to have

  • Experience in robotics, autonomous vehicles, aerospace, industrial automation, or similar environments.
  • Master's or PhD.

Pay

$217,000 — $281,000 USD base salary

Tools

telemetry, observability, logging, issue tracking, engineering analytics

AI focus

Ability to incorporate and use AI tools to enhance productivity and efficiency.

Model-written summary · the original posting is authoritative

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