Job Description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Robot Network Engineer to design and implement the connectivity infrastructure that enables our humanoid robots to maintain reliable network communication across diverse deployment environments.

Responsibilities: 

• Design and implement multi-interface network management systems for mobile robotic platforms


• Build intelligent connection management with automatic failover and quality-of-service optimization


• Implement traffic routing, load balancing, and bandwidth management solutions


• Build network monitoring, diagnostics, and health assessment tools


• Troubleshoot complex networking issues in lab and production environments


• Work with telecommunications providers on connectivity partnerships and deployments

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field


• At least 5 years of industry experience in network engineering, embedded systems, or related roles


• Strong proficiency in C++ and Python for systems programming and network automation


• Strong understanding of cellular technologies


• Proficiency with network debugging tools (tcpdump, Wireshark, iperf, ss, ip, nft)

Bonus Qualifications: 

• Experience building network orchestration or connection manager systems


• Experience with embedded Linux (Yocto, Buildroot) and cross-compilation


• Background in IoT device management or fleet connectivity at scale


• Prior work on robotics communication systems or mobile platforms


• Familiarity with Bazel build system and CI/CD infrastructure

The US base salary range for this full-time position is between $180,000- $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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