Senior Systems Engineer, Gemini Robotics

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

About Us

We are looking for Systems Engineers to join the Robotics team whose mission is to build "Embodied AI" - a robot brain capable of whole-body, dexterous, general and useful physical actions to improve the lives of billions of people in the physical world.

The Role

As a Robotics Systems Engineer, you will engage in a variety of challenging projects, from inventing and prototyping robotic systems in laboratory settings to validating them in real-world scenarios. This position offers the opportunity to collaborate with a diverse, multi-functional team dedicated to advancing the field of robotics.

Key Responsibilities:

• Multi-Modal Trade Studies: Directed complex trade studies across competing physics domains (e.g., optical, acoustic, electromagnetic) to define sensor architectures for high-ambiguity, cutting-edge applications.
• Strategic Hardware Definition: Synthesized data from prototype testing and theoretical modeling to down-select sensing modalities for unprecedented use-cases, resolving high-level system ambiguity.
• Complex Decision Making: Orchestrated the selection of sensor suites for frontier applications, systematically eliminating options through rapid prototyping to identify viable paths beyond current industry standards.
• Advanced Systems Modeling: Construct dynamic models using expert-level numerical tools (e.g., MATLAB, Python) to analyze first-principle physics, optimizing performance across friction, actuation, and thermal domains.
• Systems Engineering & Integration: Drive the full lifecycle of requirements generation and Interface Control Documents (ICDs), proactively resolving integration conflicts to ensure seamless operation across hardware and software boundaries.
• Rapid Prototyping & Validation: Execute hands-on evaluation of emerging technologies within agile teams, validating theoretical performance through physical testing to accelerate technology readiness and adoption.
• Cross-Domain Leadership: Navigate seamlessly across diverse software and hardware domains to distill complex technical analyses into clear strategies, facilitating alignment among stakeholders and executive leadership.
• Regulatory Compliance: Integrate critical industry standards (e.g., ISO/TS 15066, ANSI/RIA R15.08) into the design architecture to ensure safety and certification readiness for manufacturing and consumer environments.

Minimum Qualifications:

• Master’s degree or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or a related field, with a specific focus on robotic manipulation or complex electromechanical systems.
• 10+ years of experience defining system architectures, executing complex trade studies, and driving hardware strategies from concept to validation.
• Proven track record of effectively synthesizing complex technical data into clear written narratives to build consensus and seek alignment across audiences and executives.
• Proven track record of first-principles approach to engineering, with the ability to go from the fundamentals of physics and control theory to building and evaluating novel multimodal technologies.

Preferred Qualifications:

• Strong knowledge of robotic system design, including kinematics, dynamics, control algorithms, and perception systems.
• Experience in hardware-software co-design for multi-modal sensing; adept at optimizing compute architectures for real-time local processing (FPGA/MCU) and high-level decision-making.
• Familiarity with AI/ML integration, sensor fusion, and autonomous decision-making systems.
• Familiarity with system simulation tools such as Mujoco, NVIDIA Isaac SIm, Gazebo, or similar robotics simulators or robot simulation environments.
• Familiarity with embedded systems, microcontrollers, FPGAs, and high-performance computing platforms.

The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.