3 дня назад
Robotics Systems Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Robotics Systems Engineer (AI) (Robotics/Systems Software): Building and maintaining systems software for field-deployed robotic platforms with an accent on onboard compute, sensors, networking, and reliable robot runtimes. Focus on integrating hardware interfaces and device drivers, debugging software-hardware issues, and improving reliability through testing, observability, monitoring, and fault recovery.
Location: Irvine, California, United States; Workplace: On-site
Company
develops risk-aware, field-ready embodied AI systems for real-world robotic platforms and deployments.
What you will do
- Build and maintain systems software for robotic platforms.
- Bring up and integrate onboard compute, sensors, networking, and supporting hardware across robot platforms.
- Develop tooling and services for robot provisioning, configuration, deployment, monitoring, diagnostics, and recovery.
- Integrate hardware interfaces, device drivers, vendor SDKs, and system services into reliable robot runtimes.
- Debug system-level issues across software, operating systems, networking, compute, sensors, and hardware.
- Improve robot reliability through automated testing, observability, health monitoring, and fault recovery while collaborating across robotics, autonomy, hardware, infrastructure, and deployment teams.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or a related technical field.
- 5+ years of experience in robotics, systems software, embedded systems, or a related engineering role.
- Strong software engineering skills in C++ and/or Python.
- Strong understanding of Linux systems, networking, processes, devices, and system configuration.
- Hands-on experience developing, integrating, or debugging robotic, embedded, or other hardware-software systems.
- Familiarity with ROS, ROS 2, or similar robotics middleware, with the ability to resolve complex software-hardware problems.
Nice to have
- Experience operating production robotic systems outside controlled laboratory environments.
- Deep Linux systems experience, including systemd, udev, device configuration, networking, and performance debugging.
- Experience with embedded or edge compute platforms.
- Experience with Docker, Kubernetes, automated provisioning, configuration management, OTA updates, or robot fleet management.
- Experience with system-level test automation, hardware-in-the-loop testing, observability, telemetry, and diagnostics.
Culture & Benefits
- Work directly with real robots, sensors, and field deployments.
- Build systems that are tested on hardware and improved through real-world operation.
- Collaborate across robotics, autonomy, hardware, infrastructure, and deployment teams.
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