Senior Manager, Software Engineering

About Machina Labs

Machina Labs builds intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production, they enable customers to move from prototype to production in weeks, not years. Backed by Lockheed Martin, Toyota, and NVIDIA.

About the Role

Lead the team that builds the software brain of Machina Labs' robotic factory. Reporting to the VP of Software & IT, you own the full journey from 3D geometry to robotic instructions. The team's portfolio spans factory web applications, computational geometry, advanced visualization and simulation, machine learning, and AI-assisted application oversight.

What You'll Do

• Lead, manage, and develop a team of software engineers
• Own delivery of software solutions from scoping through shipping
• Partner with product managers to define priorities and roadmap
• Collaborate across infrastructure and IT, legal and compliance, robotics and automation, and other engineering disciplines
• Establish and continuously improve software development processes, quality practices, and lifecycle management
• Provide technical oversight and guardrails for AI-assisted applications built throughout the organization
• Recruit, hire, and onboard new team members; build a high-performing engineering culture
• Balance long-term architectural health with the fast pace of a manufacturing startup

What You'll Need

• Bachelor's degree or higher in Computer Science, Software Engineering, or a related field
• 10+ years of software engineering experience, including 3–5+ years of people management
• Strong command of software development processes and lifecycle management
• Working knowledge of JavaScript, TypeScript, and Python
• Experience building and operating software on AWS
• Experience with CI/CD pipelines and containerized applications (Docker, Kubernetes)

Nice to Have

• Experience with robotics-related software or CAD/3D geometry manipulation
• Background in computational geometry
• Experience with modern AI-assisted development or machine learning

Work Arrangement

Hybrid — 3 days per week on-site in Los Angeles, 2 days per week remote.