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Software Engineering Manager, Organizational Engineering, DeepMind

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 207000 - 300000 USD Yearly USD 207000.00 300000.00 YEAR
Job Description & How to Apply Below
Software Engineering Manager, Organizational Engineering, Deep Mind

_corporate_fare_ Deep Mind _place_ Mountain View, CA, USA

*
* Minimum qualifications:

*
* + Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience.

+ 8 years of experience with software engineering and full-stack web application development.

+ 3 years of experience in people management or leading large-scale technical projects in a leadership capacity.

+

Experience with algorithm design and architecting systems.

*
* Preferred qualifications:

*
* + Advanced degree in Computer Science or a related technical field.

+ Experience driving strategic influence and navigating organizational complexity and change.

+ Experience applying AI in software solutions, including prompt engineering and model evaluation.

+

Experience with Type Script, Angular, Java, or Python in a production environment.

+ Track record of impactful collaborations with cross-functional leadership in research and product areas.

+ Knowledge of Deep Mind or Google technical infrastructure and internal development tools.

** About the job*
* At Deep Mind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators.

You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

Artificial intelligence will be one of humanity's most transformative inventions. At Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google () .

** Responsibilities*
* + Deliver high-stakes software projects by leading the design and deployment of scalable full-stack solutions and AI-powered platforms.

+ Develop strategic goals and technical roadmaps, ensuring alignment between team efforts and Deep Mind organizational priorities.

+ Partner with executive stakeholders across research, products, and operations to gather requirements and drive technical delivery.

+ Provide technical leadership to solve non-obvious architectural issues, ensuring high standards for code quality, reliability, and security.

+ Develop the team through active mentoring, career coaching, and strategic hiring to foster a high-performing engineering culture.

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