Senior Staff Engineer, Autonomy Integration Lead (R6159)

The Hivemind Pilot group in Hivemind Enterprise org builds algorithms and production platform-agnostic AI/autonomy software that enable teams of edge systems to perceive, reason and act toward achieving mission objectives in complex and dynamic mission environments. Our work sits at the intersection of artificial intelligence, robotics, and real-time autonomous systems. 

As an Autonomy Integration Lead, you will be responsible for bringing together various autonomy components into integrated reference implementations that enable targeted concept of operations, and taking these through software-in-loop and hardware-in-loop verification. You will draw on your breadth in autonomy to ensure harmonious execution of all autonomy components for effective mission enablement.

Build and maintain stable Pilot integrated implementations, reference configurations, reusable test fixtures, and representative end-to-end examples.

Partner with component teams as they add capabilities to the shared integration environment, maintain the integration baseline, and help resolve gaps in shared workflows, test harnesses, or extensibility. 

Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests that exercise behavior across autonomy components.

Develop and maintain glue layer between mission autonomy software and platform software for easy integration and deployment of the stack.

Investigate failures across system boundaries. Reproduce and instrument each problem, isolate the responsible layer, fix integration-owned defects, and give the owning team clear evidence when a component or infrastructure change is required.

Support deployment of the integrated autonomy stack to representative hardware, including software configuration, telemetry, interface troubleshooting, and lab or field debugging. 

Work with the Flight Operations team to define test objectives, prepare integrated software and instrumentation, assess test readiness, support troubleshooting during test events, and analyze integration failures afterward. 

Write and maintain setup guides, reference configurations, troubleshooting runbooks, and executable examples. Contribute technical material to Pilot training.  

Drive strategy and implementation diverse set of autonomy reference integrations to serve various representative missions.

Develop workflows and tooling to enable seamless deployment of autonomy software on edge devices.

Develop documentation to assist a user of the product to easily pull together custom autonomy integrations

Master’s degree in AI. Computer Science, Robotics or similar.

Breadth of experience across the autonomy stack (Perception, Localization and Planning).

Experience with multi-agent autonomy

Experience applying VLMs or VLAs to planning, reasoning, tool use, or autonomous decision-making.

Experience delivering software for fielded, real-time, safety-critical, or resource-constrained autonomous systems.

Experience with software-in-the-loop or hardware-in-the-loop simulation, performance profiling, or distributed systems.