Senior Engineer, Autonomy Software Integration - San Mateo (R6246)
San Mateo, United States · On-site · Full-time
- Posted 1d ago
- From Shield AI’s careers page
- Location
- San Mateo, United States
- Work mode
- On-site
- Type
- Full-time
- Level
- Senior
- Experience
- 3+ years
- Department
- Engineering
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About the role
We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases.
What you'll do:
- Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack.
- Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms.
- Understand the full system end-to-end, from sensor inputs to autonomous behaviors.
- Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components.
- Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms.
- Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles.
- Develop integration tooling and infrastructure: Implement integration framework, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments.
- Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries.
- Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging.
- Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness.
- Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability.
Required qualifications:
- Typically requires a minimum of 3-5 years of related experience with a bachelor's degree in CS, Comp Eng, Robotics, or a related field; or 2 years and a master's degree
- Proficiency in programming languages including Python or C++.
- Experience with autonomous systems or server applications or middleware.
- Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries.
- Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments.
- Strong expertise with CI/CD pipelines.
- Strong problem-solving skills and a proven track record of delivering high-quality software solutions.
- Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership.
Preferred qualifications:
- Demonstrated experience building complex systems with a strong understanding of software architecture and design principles.
- Experience with hardware or embedded systems.
- Expert knowledge of Python.
- Experience with ROS.
- Experience with white box testing.
- Familiarity with networking, operating-systems, and radio communications.
- Experience designing automated tooling for testing for GUI applications.
- Experience designing automated tooling for testing server applications.
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About Shield AI
AI systems for defense and autonomous aircraftShield AI develops AI-enabled aircraft and autonomous systems, including Hivemind, to support service members and civilians.
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