Software Engineer (Robotics)

Location: Mountain View, United States

Company

Develops generalist intelligent robots across hardware, robot systems, infrastructure, foundation world models, and manufacturing.

What you will do

• Build and maintain networking and communication infrastructure connecting onboard robot systems with each other, cloud services, teleoperation, and monitoring systems.
• Own data collection pipelines for sensor, telemetry, and behavioral data, including reliable uploads to cloud storage for model training.
• Develop telemetry and observability systems providing real-time visibility into robot health, system state, and field performance.
• Build deployment pipelines, logging infrastructure, debugging tools, and field-testing utilities that accelerate robot software development.
• Productize the platform for integration with vendor robotic hardware, support hardware bring-up and field testing, and debug issues across the onboard software stack.
• Collaborate with ML, perception, and control engineers to meet data quality and reliability requirements for model training and deployment.

Requirements

• For experienced hires: 2+ years of experience in robotics software engineering, embedded systems, cloud software, or a closely related field; for new graduates: a solid educational background in Computer Science, Electrical Engineering, Robotics, or a related field.
• Strong software engineering fundamentals in C++, Python, or Rust.
• Experience with networking, IPC, and communication protocols for hardware-software systems, such as gRPC, DDS, MQTT, or WebSockets.
• Familiarity with cloud storage and data upload pipelines, such as AWS, GCP, S3, or GCS.
• Experience with ROS, ROS2, or similar robotics middleware in production or research contexts.
• Ability to debug across the full stack, from driver-level issues and application behavior to distributed-system failures on live hardware.
• Excellent engineering principles and high standards for work deliverables.
• Comfort working directly with physical hardware in fast-moving, ambiguous environments.
• Passion for a fast-moving and collaborative working environment.

Nice to have

• Experience building telemetry and observability systems for embedded or edge platforms.
• Familiarity with perception pipelines or control systems and their interaction with the broader robot stack.
• Background in streaming systems or low-latency data transport for real-time robot operation.
• Experience with over-the-air software updates and deployment infrastructure for robot fleets.
• Exposure to learned perception or control models and their integration into real-time robot stacks.
• Prior work on early-stage hardware programs, including prototype or pre-production robots.

Culture & Benefits

• Work across the full onboard robotics stack alongside perception, control, and ML engineers.
• High ownership in a small, fast-moving team.
• Direct impact on development velocity, debugging, deployment, and reliability of robots in the field.