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Serve Robotics

Meet the future of sustainable, self-driving delivery.

Lead Robotics Software Engineer, Behavior Planning

RoboticsRoboticsOtherRemoteSeniorTeam 51-200Since 2017H1B SponsorCompany SiteLinkedIn

Location

California

Posted

173 days ago

Salary

$190K - $230K / year

Seniority

Senior

Postgraduate Degree7 yrs expEnglishC++Python

Job Description

Lead Robotics Software Engineer, Behavior Planning

Serve Robotics

• Design and implement advanced behavior planning and control for autonomous sidewalk robots in complex urban environments. • Architect mission/route ingestion at the robot level and integrate it with mapping, perception, prediction, planning, and control. • Build and own the behavior layer (state machine/behavior tree) for cruise, overtake, peek/yield, and stop/move-to-side behaviors. • Define lane selection and speed governance (right/center/road-side) with safety envelopes, comfort limits, and social etiquette. • Instrument the stack with structured telemetry (option costs, clearances, interventions) and define KPIs and dashboards for release gating. • Drive improvements to the robot’s ability to handle failure scenarios, correct inefficiencies, and compose low-level robotic skills into high-level, goal-directed behaviors. • Lead testing and validation efforts in both simulation and real-world deployments, ensuring planning systems are reliable, safe, and performant. • Maintain clear and comprehensive documentation of algorithms, codebases, interfaces, and system designs to support cross-team collaboration and long-term maintainability.

Job Requirements

  • Phd/Master’s degree in Robotics, AI, Computer Science, Mathematics, or a related field.
  • 7+ years of experience in a Robotics or AI related engineering role
  • Strong foundation in behavior planning methods, including state machines, behavior trees, policy learning, and probabilistic planning.
  • Proficiency in C++14/17 and Python; solid systems skills (concurrency, memory, performance).
  • Proven experience debugging and resolving long-tail edge cases in real-world autonomous systems through targeted behavior planning strategies.
  • Proficient in writing efficient, scalable, and robust code in C++ and Python.
  • Excellent written and verbal communication skills, with the ability to articulate technical concepts clearly across teams.

Benefits

  • Offers Equity

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