Jobs
Snapshot
The Google Deep Mind Robotics team’s mission is to solve AGI in the physical world. As we build robotics agents that move from the lab into our daily lives, ensuring their security, integrity, and reliability is key. We are looking for an exceptional software engineer to help pioneer this effort and build the secure platform that will define the future of robotic applications.
The Role
As a Software Engineer focused on Robotics Security, you will be the critical link between hardware, embedded software, developer APIs, and our advanced Gemini Robotics agentic models. You will work closely with researchers and engineers to build and improve the end-to-end software stack for our AI agents, with a strong focus on security and developer experience. You will help ensure our robotics agents are resilient against advanced threats. The software you build and maintain will not only advance our scientific research, but also drive real-world applications for partners and customers.
Key responsibilities:
-
Design, implement, and optimize critical software components for our secure API ecosystem, including on-device APIs and SDKs.
-
Develop and maintain the infrastructure for a large-scale developer API ecosystem, ensuring scalability, reliability, and security.
-
Identify, implement, and enhance on-device security features to protect our models and user data in a rapidly evolving environment.
-
Collaborate with security engineers, researchers, and product managers to define and implement a robust security posture for the entire platform.
-
Partner closely with the GDM Security team to define security roadmaps for robotics agents and jointly drive innovation in this field.
About You
In order to set you up for success as a Software Engineer at Google Deep Mind, we look for the following skills and experience:
-
Master’s degree or PhD in a related field or equivalent experience.
-
5 years of experience with software development in one or more programming languages.
-
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.
-
Experience with API design, development, and building secure systems.
In addition, the following would be an advantage:
-
Hands-on experience with robotics or on-device development.
-
Experience building developer ecosystems, platforms, or SDKs.
-
Experience with security engineering, including concepts like sandboxing, policy enforcement, and threat modeling.
-
Familiarity with hardware & software security features of embedded systems and embedded computing devices (encryption, Secure Boot…).
-
Familiarity with the security challenges of AI and agentic systems.
-
Experience with machine learning and AI systems.
At Google Deep Mind, 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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Software Engineer, Encryption
OpenAI · London, UK

Software Engineer, Infrastructure Reliability
OpenAI · San Francisco

Staff Software Engineer, AI Reliability Engineering
Anthropic · Dublin, IE

Senior Software Engineer, Fleet Orchestration and Optimization
Waymo · Warsaw, Poland

Staff Software Engineer (BE/ML) - Compliance & Readiness
Waymo · Warsaw, Poland
About Google DeepMind

Google DeepMind
AcquiredDeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc.
1,001-5,000
Employees
London
Headquarters
Reviews
3.8
10 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.5
Career
4.0
Management
2.8
68%
Recommend to a Friend
Pros
Smart and brilliant colleagues
Good compensation and benefits
Work flexibility and remote options
Cons
Poor management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and goals
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
60%
Experience
Positive 60%
Neutral 40%
Negative 0%
Interview Process
1
Application Review
2
Phone Screen/Online Assessment
3
Technical Interview
4
Team Matching Interview
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Research Experience
System Design
News & Buzz
Google Deepmind pioneer David Silver departs to found AI startup, betting LLMs alone won't reach superintelligence - the-decoder.com
Source: the-decoder.com
News
·
5w ago
Apple loses more AI researchers, Siri exec to Google and Meta - 9to5Mac
Source: 9to5Mac
News
·
5w ago
Apple Loses More AI Researchers and a Siri Executive in Latest Departures - Bloomberg
Source: Bloomberg
News
·
5w ago
Google DeepMind seeks team lead for growing AI chip design effort - Data Center Dynamics
Source: Data Center Dynamics
News
·
5w ago