Senior Engineer, Autonomy Software Integration - San Mateo (R6246)

What you'll do:

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.
• Additional information
• #LC
• Pay within range listed + Bonus + Benefits + Equity
• Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
• Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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• Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Additional information

Responsibilities

• 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 & 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.