Snapshot
We are looking for an exceptional software engineer building and improving GDM Robotics' end-to-end software stack, from latency sensitive on-robot software to large-scale data and ML pipelines. You'll play a crucial role in advancing our embodied AI technologies, and making a transformative impact in the real-world.
About us
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.
Google DeepMind Robotics team’s mission is to build embodied AI responsibly to benefit people in the physical world. See https://deepmind.google/robotics for our latest milestone towards our mission.
The role
As a software engineer in the GDM Robotics Infrastructure team, you build and improve end-to-end robotics software systems, tackling a wide variety of novel and complex software usability, performance and reliability challenges. You play a critical role in accelerating our research progresses and bringing our embodied AI into the real-world.
Key responsibilities
- Design, implement or optimize critical software components in large-scale, end-to-end robotics, data and ML systems, empowering both cutting edge robotics research and real-world applications.
- Develop and maintain novel development and test infrastructure for real-world robotics applications, deliver processes and tools improving overall team productivity and software quality.
- Closely collaborate with engineers and researchers across the organization, deliver key features and improvements accelerating our research progresses and bringing our embodied AI into the real-world.
About you
You are a generalist SWE with deep curiosity and willingness to stretch and learn. You embrace risks and have a healthy disregard for the status quo. You’re passionate about challenging technical problems in complex systems, and be confident solving them no matter what and where they are.
Minimum qualifications:
- Strong C++ and Python development skills, including systems, API and tests design, performance analysis and optimization.
- Experience with developing, maintaining, debugging and optimizing in a large codebase and complex systems.
- Effectively adopt and work in a fast changing environment, strong communication skills working with engineers and researchers from multiple teams.
Preferred qualifications:
- Experience developing and performance optimizing in large scale data or ML pipelines.
- Experience with designing and maintaining development or test infrastructure for large, complex software systems.
- Experience with robot software or embedded/real-time systems.
The US base salary range for this full-time position is between $136,000 - $210,000 + 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 opportunities 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.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
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