Staff Robotics Systems Safety Engineer

Google; Mountain View (CA); On-site; USD 161,000 - 275,000; Full time

Job summary

An innovative firm is seeking an Operational Safety Engineer to enhance safety in AI-enabled collaborative robotics. This role involves conducting risk assessments, implementing cutting-edge safety solutions, and collaborating closely with robotics researchers to ensure safe development. As part of a diverse team, you will help shape the future of robotics, ensuring that human safety is prioritized while accelerating technological advancements. Join a mission-driven team that values diverse perspectives and is committed to making a positive impact in the world through responsible AI development. If you're passionate about robotics and safety, this opportunity is perfect for you.

Qualifications

• Experience with real-world robots, especially humanoid platforms.
• Strong exposure to Machine Learning/AI systems and research.

Responsibilities

• Perform Hazard and Risk Analysis for emerging Robotics Platforms.
• Implement state-of-the-art safety solutions on robots and workcells.

Skills

Real-world robots experience

Machine Learning/AI systems

Safety challenges solving

Risk Assessments

Hazard Analysis

ISO/RIA Safety Standards

Education

BS in Computer Science

MS in Robotics

PhD in Safety Engineering

Job description

We are hiring for this role in Mountain View, New York or London.

Snapshot

We are looking for an Operational Safety Engineer to join the Google DeepMind Robotics team. The engineer will collaborate with researchers to perform safety risk assessments, implement state of the art safety solutions on our robots and workcells, inform and guide safety policies and documentation, and help accelerate the development of emerging robotics capabilities.

About Us

At Google DeepMind Robotics, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in AI-enabled Collaborative Robots. Our mission is to responsibly build “Embodied AI” - a robot brain capable of turning natural language instructions into useful physical actions in human-centric environments - to improve the lives of billions of people in the physical world.

The Role

Operational Safety is a critical facet of responsible development of AI-enabled collaborative robots for human-centric environments. Typical work will include:

1. Performing Hazard and Risk Analysis for emerging Robotics Platforms
2. Providing expertise and guidance on Implementing state-of-the-art safety solutions on our robots and workcells, to enable safe data collection and model evaluation
3. Working closely with Google DeepMind Robotics Researchers to accelerate development of new capabilities while ensuring safety.
4. Coordinating with Environment, Health and Safety (EHS) teams to ensure consistency across GDM Robotics Labs.
5. Preparing Safety training materials
6. Helping evolve safety standards for AI-enabled collaborative robots

About You

In order to set you up for success at Google DeepMind, we look for the following skills and experience:

1. Experience working with real-world robots, preferably Humanoid platforms
2. Strong exposure to Machine Learning/AI systems and research
3. Experience in solving practical Safety challenges, performing Risk Assessments and Hazard Analysis; knowledge of STPA techniques would be a plus.
4. Working with different stakeholders to define and implement safety guidelines to ensure the safety of humans and robots in mixed environments, and also ensure that research velocity is not compromised
5. Understanding of ISO/RIA Safety Standards
6. BS or MS in Computer Science, Robotics or Systems Safety Engineering is preferred but not necessary with equivalent practical experience

In addition, the following would be an advantage:

1. PhD in Computer Science, Robotics or Systems Safety Engineering is preferred but not necessary with equivalent practical experience
2. Publication track record in Robotics and/or Safety

The US base salary range for this full-time position is between $161,000 - $275,000 + 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.