Release Manager

The role

You will own the Release Management lifecycle, including scheduling, coordinating, and managing releases across the organization. You will work with cross-functional teams to integrate sub-system components into a complete system-based release.

What you will do

• Define and take ownership of the software release process
• Act as a point of contact responsible for a safe and efficient software release
• Work closely with multiple teams across the organization to integrate the latest software into the system and preparing builds for release
• Plan, design, implement, and oversee the integration and release process
• Work with technical program managers to align on priorities and define, maintain, and track the release schedules

Required qualifications

• At least three years of equivalent knowledge and work experience
• 2+ years of professional experience working on safety critical and complex systems such as Robotics, Autonomous Vehicles, Automotive, or Aerospace Technologies
• Professional experience in autonomous driving or robotics industry with at least one of the following fields: release management, hardware, software, autonomy, on-field testing
• Experience using issue tracking and release management tools (E.g: Atlassian Confluence, Jira, Bitbucket, Git)
• Experience with Linux and scripting languages (E.g: Bash/Shell, Python)
• Experience with build systems (CMake, Make, Bazel or equivalent)
• Strong troubleshooting, debugging, and analytical and creative problem solving skills

Nice to have

• Bachelor's or higher degree in Engineering such as Computer Science, Electrical Engineering, Systems Engineering, Software Engineering, Robotics

Benefits

• Base salary
• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.