Robotics Platform Software Engineer, DeepMind

Responsibilities

• Design and develop robust software for real-time robotic workloads, including RTOS tuning and memory management.
• Build and maintain CI/CD infrastructure and hardware-in-the-loop (HIL) testbenches to support rapid development cycles.
• Establish systems, tools, and processes for high-velocity robot development, including logging and data visualization.
• Ensure low-latency communication and system stability across the entire robot stack.
• Establish a culture of following software development best practices, including modularity, well documented code, and high test coverage.
• - Design and develop robust software for real-time robotic workloads, including RTOS tuning and memory management. - Build and maintain CI/CD infrastructure and hardware-in-the-loop (HIL) testbenches to support rapid development cycles. - Establish systems, tools, and processes for high-velocity robot development, including logging and data visualization. - Ensure low-latency communication and system stability across the entire robot stack. - Establish a culture of following software development best practices, including modularity, well documented code, and high test coverage.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 5 years of experience with software development in one or more programming languages. - 5 years of experience developing and debugging robotic software systems and supporting toolchains. 3 years of experience testing, maintaining, or launching core components of a robotics software stack, and 1 year of experience with software design and architecture of a robotics software stack. - 3 years of experience with processor and memory optimization, real-time operating systems (RTOS), and communication protocols (e.g., CAN, SPI, I2C, UART). Preferred qualifications: - Experience with GPU/TPU optimization for model inference and sensor fusion. - Experience with system simulation tools such as Mujoco, NVIDIA Isaac Sim, or Gazebo. - Knowledge of robotic system design, including kinematics, dynamics, control algorithms, and perception systems. - Ability to deliver high-quality and durable software with appropriate test coverage. - Insights into how safety impacts system design across physical and software layers.