Senior Staff Software Engineer (TLM), Gemini Deployment and Performance, DeepMind

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google DeepMind in Mountain View, CA, is seeking a Senior Staff Software Engineer (TLM) for Gemini Deployment and Performance. You will lead cross-team efforts across deployment, performance, and scale, delivering high-impact AI infrastructure and systems.

The role emphasizes technical leadership, mentorship, and collaboration with researchers and engineers to drive state-of-the-art deployments and optimized performance at scale.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in a technical leadership role; overseeing projects.
• 3 years of experience in a people management, supervision/team leadership role.

Responsibilities

• Provide technical leadership across multiple teams and projects.
• Mentor engineers and grow technical excellence.
• Align project goals with product strategy and deployment plans.

Skills

Technical leadership

Project oversight

Team mentoring

Education

Bachelor's degree

Job description

Senior Staff Software Engineer (TLM), Gemini Deployment and Performance, DeepMind

Share Senior Staff Software Engineer (TLM), Gemini Deployment and Performance, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

Preferred qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in a technical leadership role; overseeing projects.
• 3 years of experience in a people management, supervision/team leadership role.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, 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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google .

• Scale Gemini serving to billions of daily requests and millions of developers, landing infrastructure and tuning improvements in production endpoints to hit company YoY TPS/chip goals.
• Direct inference and efficiency strategies, sustaining Pareto-optimal performance against rapidly evolving SOTA.
• Mentor and grow engineers while cultivating technical excellence, high agency, collaboration, and an AI-first mindset.
• Partner across Research, Inference Engine, Model Server, Serving, Reliability, and Cloud AI, navigating cross-stack dependencies to accelerate landing SOTA techniques.
• Serve as technical authority on the serving stack, driving high scalability and automating validation pipelines to accelerate turnaround from checkpoint drop to production release.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.