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SnapshotAt Google DeepMind, we value a unique culture where long-term ambitious research flourishes. We are seeking a highly motivated ML Software Tech Lead Manager to join our HW-SW Co-design team. This is a hands-on IC role for a deeply technical expert who will also lead a small, high-impact team to drive advances in machine learning acceleration.
About YouGenAI at Google DeepMind prioritizes deeply technical leadership. We are looking for an individual who:
- Contributes as a Senior IC: You are expected to be a direct technical contributor, particularly during onboarding and within key workstreams.
- Acts as a Technical Anchor: You excel at aligning senior engineers who may have diverging technical directions. You are the person who reduces the feeling of "too many moving parts" by providing a cohesive architectural north star.
- Thrives in Ambiguity: You are flexible enough to change course when ideas don't work out and willing to "plug in" wherever the project needs the most senior technical support.
As a TLM, you will spend a significant portion of your time on technical execution while managing a multi-disciplinary team to evolve our software stack.
Key Responsibilities:
- Direct Technical Contribution (IC): Directly contribute to the codebase and technical strategy. Focus ideall includes acting as a Mountain View-based bridge between our co-design time and the Gemini core team.
- Technical Team Leadership: Lead a small team of ML software engineers across numerics, performance optimization, novel training techniques, and novel model exploration.
- Architectural Alignment: Drive team cohesion by synthesizing fragmented technical opinions into a single, high-quality execution plan.
- HW-SW Strategy: Partner closely with the hardware team to define requirements for next-generation ML accelerators.
- Execution Management: Oversee technical execution across a virtual team including Google-internal and external partners.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, or equivalent practical experience.
- 10+ years of experience in high-performance software, including AI/ML.
- Proven track record of direct technical contribution and leadership in delivering complex silicon or software projects to production.
Preferred Qualifications:
- Master’s or Ph.D. in a related field.
- Hands-on experience with high-performance compute IPs (GPUs, ML accelerators).
- Experience contributing to silicon development.
- Expertise in at least one core silicon engineering discipline (e.g., RTL, PD, DV) and familiarity with the full ASIC flow.
Skills Required
- Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience
- 7+ years of experience in SoC architecture or micro-architecture
- Proven experience in chip top-level design and integration for complex ASICs
- Hands-on knowledge of hardware building blocks for ML accelerators
- Experience in evaluating trade-offs such as speed, performance, power, and area
What We Do
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
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