Staff Engineer - Autonomous Robotics & System Integration

Shield

San Diego (CA)

On-site

USD 150,000 - 220,000

Full time

14 days+
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Job summary

Shield AI in San Diego, CA, seeks an experienced Systems Integration Engineer to advance the Hivemind autonomy stack across simulation, hardware-in-the-loop, and flight platforms. You will configure sensors, integrate multi-agent systems, and ensure end-to-end system reliability.

Ideal candidate has 7+ years in integration or robotics software, with Python or C++, and strong CI/CD experience. You’ll collaborate across teams to deliver robust autonomous systems and tooling for SIL/HIL

Qualifications

  • Typically requires a minimum of 7 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master’s degree; or 4 years with a PhD.
  • 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.

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: Architect and implement integration frameworks, 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.

Job description

Shield AI in San Diego, CA, seeks an experienced Systems Integration Engineer to advance the Hivemind autonomy stack across simulation, hardware-in-the-loop, and flight platforms. You will configure sensors, integrate multi-agent systems, and ensure end-to-end system reliability.

Ideal candidate has 7+ years in integration or robotics software, with Python or C++, and strong CI/CD experience. You’ll collaborate across teams to deliver robust autonomous systems and tooling for SIL/HIL

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