We are looking for a passionate and hands-on Software Engineer in Test to join our Humanoid 4NE-1 team. In this role, you will own the development of scalable test infrastructure, automation frameworks, and validation strategies that ensure the reliability, performance, and safety of software powering our humanoid robots.
You will work closely with Software Engineers, Middleware Engineers, Perception Engineers, and Robotics Developers to build robust testing and validation pipelines across the entire robotics stack- from embedded devices and middleware services to perception, motion control, and autonomous behavior.
This role goes beyond traditional QA. We are looking for an engineer who can understand complex robotic systems, identify failure modes, build automated validation frameworks, and contribute code directly to improve system robustness and developer productivity.
Your work will directly impact the reliability of robots operating in real-world environments and help establish engineering quality standards across the 4NE-1 software platform.
Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, Mechatronics, or a related field
Strong software engineering fundamentals with experience building automated test systems
Experience working with distributed software systems, middleware, or robotic platforms
Ability to collaborate closely with perception, controls, infrastructure, and platform engineering teams
Strong debugging mindset and systems-level thinking
Strong programming skills in C++ and Python
Experience developing automated testing frameworks and tooling
Deep understanding of software testing methodologies (unit, integration, system, regression, end-to-end testing)
Experience with ROS2, DDS, or distributed robotics middleware architectures
Understanding of robotic systems including:
Sensor integration
Calibration workflows
Synchronization
State estimation
Motion control systems
Experience debugging complex interactions across software, hardware, and networked systems
Experience building CI/CD pipelines and automated validation workflows
Familiarity with Linux-based development environments
Strong understanding of software architecture, system observability, logging, and diagnostics
Experience with Git and modern software development practices
Experience with robotics perception systems (cameras, LiDAR, IMUs, force/torque sensors)
Experience validating multi-sensor systems and synchronization pipelines
Experience with simulation environments such as Isaac Sim, Gazebo, or MuJoCo
Experience with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing
Understanding of real-time systems and deterministic communication
Knowledge of robotics communication protocols such as EtherCAT, CAN, DDS, or OPC-UA
Experience with performance testing, stress testing, and reliability engineering
Exposure to cloud-based test infrastructure and large-scale automated validation systems
Familiarity with safety-related standards and validation processes for robotic systems
