Snapshot
Google Deepmind Robotics’s mission is to solve AGI in the physical world. We are looking for an exceptional software engineer passionate about robotics and data, to tackle one of the major bottlenecks towards this mission - high quality data, lots of them.
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.
The Role
As a software engineer with a focus on data, you work closely with researchers, engineers, and operation teams, tackling some of the largest scale and most complex data quality and systems problems across the full data lifecycle from data collection to ML training and evaluation. You play a crucial role in advancing our embodied AI technologies, and making a transformative impact in the real-world.
Key Responsibilities
- Design and implement large scale data acquisition, processing and curation pipelines, assuming end-to-end ownership over the full lifecycle of high quality datasets for training advanced robotics foundation models.
- Systematically improve data quality by performing sophisticated data analysis, debugging and experiments, developing metrics, tests and monitoring mechanisms, which directly contribute to ML model improvements.
- Develop, improve large scale data pipeline infrastructure and tooling. Improve system reliability, usability and scalability, data safety and security over the full data lifecycle.
About You
You are a multi-disciplinary and hands-on engineer 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 all the aspects of data and willing to dig into the most hairy and difficult problems into the data life cycle.
In order to set you up for success as a Software Engineer - Data Engineering at Google DeepMind, we look for the following skills and experience:
Requirements:
- Bachelor’s degree or equivalent practical experience.
- 2+ years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- Experience with production data systems and quality projects.
- C++ and Python programming experience.
- Experience in data analysis, debugging, experiment design and evaluation.
- Strong problem-solving skills.
In addition, the following would be an advantage:
- Experience with production ML-oriented systems or applications.
- Rich experience working with very large datasets using Google data infrastructure and tooling ecosystems like Flume and PLX.
- Industry experiences in robotics or automation.
- Product mindset, willingness to learn, work with research and product colleagues, focus on delivering value in real-world applications.
The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: Oct 10th, 2025 12PM PST
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
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.
Top Skills
What We Do
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.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
.png)
