3 дня назад
Network Software Engineer, Real-Time Systems (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Network Software Engineer, Real-Time Systems (Robotics): Building low-latency, high-reliability communication and audio/video streaming systems for robotic platforms with an accent on cellular networks, edge-to-cloud connectivity, and distributed device infrastructure. Focus on designing adaptive communication under mobility, network handoffs, intermittent connectivity, and degraded real-world conditions.
Location: Irvine, California, United States; Workplace: On-site
Company
develops embodied AI systems for real robots, sensors, and field deployments.
What you will do
- Build low-latency, bidirectional audio and video streaming systems for telepresence and teleoperation.
- Design and optimize real-time communication over private 5G and heterogeneous networks.
- Monitor and improve latency, jitter, packet loss, throughput, QoS, congestion control, and adaptive streaming.
- Develop, test, and deploy communication systems directly on robotic platforms and physical hardware.
- Ensure reliable performance during mobility, network handoffs, degraded connectivity, and changing field conditions.
Requirements
- MS or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- Strong experience with real-time or near-real-time communication systems, including TCP/UDP, RTP/RTCP, or WebRTC.
- Strong networking fundamentals, especially wireless and cellular networking.
- Experience with Linux networking and debugging tools such as tcpdump, iperf, ss, and iw.
- Familiarity with distributed systems, device-to-cloud architectures, and ROS/ROS2 or similar robotics frameworks.
- Experience developing and validating systems on physical hardware rather than only in simulations.
Nice to have
- Experience with LTE/5G deployments, including private 5G networks.
- Background in telepresence, teleoperation, or real-time audio/video streaming.
- Experience with WebRTC, GStreamer, RTP pipelines, mesh networking, or device-to-device communication.
- Expertise in adaptive bitrate, congestion control, QoS, and fault-tolerant networking.
Culture & Benefits
- Hands-on engineering with systems tested on real robots and improved through field deployments.
- Competitive compensation based on location, knowledge, skills, and experience.
- Comprehensive benefits and equity participation.
- Opportunity to contribute to AI and robotics systems deployed in real-world environments.
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