Software Engineer, Robot Autonomy (Reliability & Test Infrastructure)

About the role

You will own the release pipeline and reliability infrastructure for autonomous security robots, ensuring that code changes are rigorously tested before deployment. This role involves building simulation environments, regression suites, and hardware-in-the-loop rigs to maintain safety and performance standards. You will be the first engineer dedicated to this function, working closely with the Robot Autonomy team to prevent customer incidents.

Responsibilities

• Design and manage the release pipeline from commit to robot deployment.
• Develop and maintain GPU-backed simulation environments for continuous testing.
• Create scenario libraries and regression suites covering the full on-robot stack.
• Implement hardware-in-the-loop bench rigs and test procedures.
• Execute failure injection testing to verify system degradation and recovery.
• Convert field incidents into deterministic regression tests.

Required skills

• Python
• C++
• CI/CD
• Containerised infrastructure
• Robotics simulation
• Cloud infrastructure
• GPU orchestration

Nice to have

• ROS 2
• Hardware-in-the-loop
• Grafana
• Prometheus
• OpenTelemetry
• Functional safety

Qualifications

• 4+ years in test, validation, reliability, SRE or platform engineering on a product that shipped to customers
• Experience with a complex system at scale such as autonomous driving, drones, industrial automation, or medical devices

Benefits

• Equity package
• Career growth opportunities

About the Company

Laelaps AI is a founding team based in Zurich, backed by visionary investors, building intelligent software for physical security. They focus on creating orchestration layers for autonomous systems to handle critical tasks in security and defence.