Full-Time

Director – Engineering

AI Studio, Gemini API

Posted on 9/10/2025

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

Compensation Overview

$294k - $414k/yr

+ Bonus + Benefits

Mountain View, CA, USA

In Person

Category
AI & Machine Learning (2)
,
Required Skills
LLM
Management
Requirements
  • Master's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 15+ years of experience in software development, including significant experience in a technical leadership or management role, leading high-performing engineering teams.
  • Proven experience managing, mentoring, and developing a team of software engineers, including performance management, career growth, and fostering a collaborative team environment.
  • Expert-level proficiency in software architecture, distributed systems design, and scalable infrastructure.
  • Proven track record of leading complex technical projects from conception to launch, demonstrating significant impact.
  • Demonstrated ability to drive inter-team and cross-functional collaboration at a senior leadership level.
  • Exceptional problem-solving skills with a proven track record of innovative ideas and excellent execution in challenging technical domains.
  • Deep understanding of code collaboration best practices and experience with large-scale monorepos.
Responsibilities
  • Lead, mentor, and grow a team of Software Engineers, fostering a high-performance culture, promoting technical excellence, and ensuring career development for your direct reports.
  • Define and drive the technical strategy and roadmap for highly scalable and robust Gemini API features and infrastructure, used to externalize Gemini Models and their tooling ecosystem to external developers.
  • Oversee and guide the scaling of the Gemini Model serving stack to handle billions of requests per day and support millions of developers, ensuring the team identifies and resolves complex performance bottlenecks.
  • Provide architectural oversight and strategic direction for significant components within the entire lifecycle of the Model serving stack, from research and internal testing to externalization via API and AI Studio.
  • Contribute to hands-on development as needed, especially for critical path items, complex architectural decisions, or to unblock the team, while primarily focusing on managerial responsibilities.
  • Drive the productionization of new generative AI technical stacks, ensuring the team delivers robust, production-scale features.
  • Collaborate strategically with partner Product Areas/teams at a senior level to advance LLM state-of-the-art techniques and realize significant real-world product impact.
  • Own the operationalization strategy for Gemini models from research/internal testing to external developers in production, setting the standards for reliability and scalability.
  • Innovate and implement solutions to build a production environment that can reliably scale to billions of requests, ensuring high availability and low latency.
  • Manage project priorities, deadlines, and deliverables, effectively allocating resources and mitigating risks.
Desired Qualifications
  • Extensive experience with Generative AI models and applications, either through direct development or strategic oversight.
  • Experience with Full-Stack Development, particularly in environments that interact with complex backend AI services.
  • Proficiency in one or more general-purpose programming languages (e.g., Go,Python, Node.js, C++, Kotlin) relevant to large-scale systems.

DeepMind conducts research in artificial intelligence to advance general problem-solving capabilities with safety and ethics guiding every project. It develops AI systems and learning algorithms that can tackle complex tasks, such as diagnosing eye diseases, reducing data center energy use, and predicting 3D protein shapes. These products work by learning from large datasets and optimizing models to perform specialized tasks, often through deep neural networks and reinforcement learning, then deploying the resulting systems to assist scientists, doctors, and engineers. What sets DeepMind apart is its emphasis on rigorous fundamental research published in top journals, a strong safety/ethical framework, and collaboration on real-world scientific challenges, rather than just commercial applications. The company’s long-term goal is to solve intelligence and build more general, capable problem-solving systems that can help society address major scientific and humanitarian problems.

Company Size

1-10

Company Stage

Acquired

Total Funding

$533M

Headquarters

Thessaloníki, Greece

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • GraphCast excels in extreme weather prediction, partnering with disaster agencies.
  • AlphaFold collaborates with DNDi on Chagas and Leishmaniasis therapeutics.
  • Open GraphCast deployment since September 2024 enables enterprise licensing.

What critics are saying

  • Top AI talent exits DeepMind due to Google merger bureaucracy.
  • Isomorphic Labs secures Eli Lilly and Novartis drug discovery deals.
  • NVIDIA's PhysicsNeMo reimplements GraphCast, commoditizing the technology.

What makes DeepMind unique

  • AlphaFold predicts protein structures, catalyzing biology progress since 2021.
  • GraphCast delivers 90% accurate 10-day weather forecasts in under one minute.
  • AlphaGo defeated Go champion Lee Sedol in 2016 using reinforcement learning.

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Benefits

Performance Bonus

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