Robotics System Engineer

FieldAI • Irvine, CA

1d • $170,000 - $190,000 • Onsite

About The Position

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Requirements

• 8+ years of experience in robotics, autonomy, autonomous vehicles, mobile robots, humanoids, industrial robotics, or complex cyber-physical systems
• Strong understanding of autonomy systems including perception, localization, planning, controls, sensors, compute, and platform integration
• Experience defining system-level requirements, interfaces, validation criteria, or integration expectations for robotic or autonomous systems
• Ability to translate engineering knowledge and field behavior into measurable requirements and release criteria
• Strong systems thinking across software, hardware, operations, and deployment environments
• Experience working cross-functionally with engineering teams and technical stakeholders
• Strong written communication skills for requirements, interface definitions, architecture notes, and technical reviews

Nice To Haves

• Experience improving systems engineering, validation, release-readiness, or reliability processes for robotics or autonomy products
• Experience with fielded robotic systems operating in real-world environments
• Familiarity with ODDs, validation coverage, requirements traceability, or release acceptance frameworks
• Familiarity with safety, fault handling, degraded modes, hazard analysis, or operational risk
• Experience with simulation, log replay, HIL/SIL testing, automated evaluation pipelines, or field-data-driven validation
• Comfort operating in fast-moving environments where rigor must remain practical and execution-oriented

Responsibilities

• Translate product goals, field learnings, and engineering assumptions into system-level, subsystem-level, interface, and platform requirements
• Identify ambiguous, incomplete, or difficult-to-validate requirements and improve clarity and traceability
• Develop system-level understanding of autonomy software, robotic platforms, operational constraints, and release workflows
• Define interface expectations across autonomy software, sensors, compute, and platform behavior
• Improve cross-component alignment and reduce integration risk through clearer ownership and interface definitions
• Establish validation criteria, release readiness expectations, and measurable acceptance thresholds
• Map requirements to validation methods, metrics, scenarios, and release evidence
• Review field and integration learnings to identify recurring system-level issues and convert them into reusable validation cases or requirement updates
• Partner cross-functionally with Autonomy, Robotics, Hardware, Simulation, Infrastructure, and Field teams to drive alignment on system behavior and release readiness

Benefits

• Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed