Artificial intelligence
10 Google DeepMind infrastructure engineers
These ten current and former Google DeepMind infrastructure engineers have held machine learning infrastructure, model serving, reliability and systems roles at the company. A reader can learn what infrastructure engineering at Google DeepMind involves from people who have done it.
Professionals to explore
01—10Alejandro Lince
LinkedInExperience: Principal Site Reliability Engineer - Software Engineer · Google DeepMind
Principal Site Reliability Engineer - Software Engineer at Google DeepMind since February 2026, described as uber tech lead for Google DeepMind SRE working on machine learning production infrastructure. Previous roles include the same title at Google (2025–2026) and Senior Staff Site Reliability Engineer - Software Engineer at Google (2022–2025).
Ali HeydariGorji
LinkedInExperience: ML Infra Software Engineer · Google DeepMind
ML Infra Software Engineer at Google DeepMind since February 2025, specializing in core ML infrastructure as part of a team that builds and maintains a large-scale internal service; the profile also lists Software Engineer at Google since 2022. Previous roles include Software Engineer at NGD Systems, Inc. (2018–2022).
Chris Jones
LinkedInExperience: Staff Software Engineer · Google DeepMind
Staff Software Engineer at Google DeepMind since October 2022, described as tech lead for GPU infrastructure, after serving there as Senior Software Engineer (2019–2022) and Software Engineer (2017–2019). Previous roles include Senior Engineer at Maxeler Technologies (2014–2016).
Junwhan Ahn
LinkedInExperience: Distinguished Software Engineer · Google DeepMind
Distinguished Software Engineer at Google DeepMind since May 2026, after serving there as Principal Software Engineer (2025–2026), Senior Staff Software Engineer (2023–2025) and Staff Software Engineer (2021–2023). The profile lists work on Pathways, distributed systems for large-scale machine learning.
Maxwell Chen
LinkedInExperience: Senior Software Engineer - Gemini Inference, Serving, and Deployment · Google DeepMind
Senior Software Engineer - Gemini Inference, Serving, and Deployment at Google DeepMind since December 2025, working on machine learning infrastructure and inference optimizations to deploy and serve models at scale. Previous roles include Software Engineer - ML Serving Infrastructure at Google (2024–2025) and Software Engineer - Network Infrastructure at Google (2022–2024).
Steve Thompson
LinkedInExperience: IT Ops Team Lead (The Systems Team) · Google DeepMind
Former IT Ops Team Lead (The Systems Team) at Google DeepMind (2013–2026), where the profile describes building the IT function, scaling it through the Google acquisition and building GPU training clusters. Previous roles include IT Manager at Shazam (2010–2013) and Infrastructure Engineer, RIM Provisioning at BlackBerry (2003–2008).
Tapish Pratap Singh
LinkedInExperience: ML Infra Engineer · Google DeepMind
ML Infra Engineer at Google DeepMind since December 2025, based in Mountain View. Previous roles include Software Engineer III at Google (2022–2024), Senior Member Technical at The D. E. Shaw Group (2021–2022) and Member Technical at The D. E. Shaw Group (2019–2021).
Topher Kessler
LinkedInExperience: Infrastructure Engineering Lead · Google DeepMind
Infrastructure Engineering Lead at Google DeepMind since April 2025, based in San Jose. Previous roles include Enterprise Architect at Cisco Meraki (2023–2025), Systems Architect, IT Engineering at Cisco Meraki (2018–2022) and Sr. Systems Administrator at Blue Apron (2015–2018).
Usama Ijaz
LinkedInExperience: Software Engineer III ML Infrastructure · Google DeepMind
Software Engineer III ML Infrastructure at Google DeepMind since December 2025, at senior level in the engineering department. Previous roles include Software Engineer II ML Infrastructure at Google (2024–2025), Strategic Cloud Engineer - Application Modernization at Google (2022–2025) and Cloud Technical Resident at Google (2021–2022).
Varshini Sitarama
LinkedInExperience: Software Engineer - ML Serving Infrastructure · Google DeepMind
Software Engineer - ML Serving Infrastructure at Google DeepMind since December 2025, in the engineering department, with the profile headline naming AI Infrastructure at Google DeepMind. Previous roles include Software Engineer - Ads API Infrastructure at Google (2022–2025).
Choose the right perspective
Match the person's infrastructure area to your question, since model serving, training infrastructure, site reliability and internal IT systems involve different problems. Ask a current employee about how things run today and the former employee for a longer view of how the infrastructure grew.
Questions to take into the conversation
- 01How do you plan serving capacity for large models when demand is hard to predict?
- 02Which reliability practices matter most for machine learning production systems?
- 03What tradeoffs come up between training infrastructure and serving infrastructure?
Reaching Google DeepMind infrastructure engineers
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Pick one of the 10 people on this page and choose "Book a paid call", or describe your project to find others. You offer a fee for a 15-minute call or a written answer, Instant Expert finds the person's work email and sends the invitation, and they decide whether to accept. The list covers 1 company: Google DeepMind, based on profile data retrieved on October 8, 2026. Being listed here doesn't mean someone has agreed to take calls.
How much does it cost to reach Google DeepMind infrastructure engineers?
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Yes. An agent with a USDC wallet on Base can ask one question without an Instant Expert account. It names the person, for example by the LinkedIn URL on this page, and pays per ask over x402 (HTTP 402). The person answers in writing or by voice note, and if nobody answers within 7 days, the payment goes back to the wallet automatically. x402 docs
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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