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ML HW-SW Co-Design Software Tech Lead Manager (TLM)
Skills & Technologies
Requirements
- Experience
- 10+ years
- Education
- Bachelor's degree
Benefits
Joblaze summary
In this role at Google DeepMind, the ML HW-SW Co-Design Software Tech Lead Manager is responsible for both hands-on technical contributions and leading a small team focused on machine learning acceleration. The position requires expertise in high-performance software and a strong background in AI/ML, with an emphasis on architectural alignment and execution management. This role is ideal for a seasoned professional with a proven track record in delivering complex projects and the ability to navigate ambiguity in a fast-paced environment.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Google DeepMind's career page.
- Google DeepMind has 58 other open roles including Research Engineer, Materials Science, Research Scientist: Multilingual, Multicultural and Multimodal LLM, Science & Frontier AI Research - Writer / Communicator.
- 1579 active AI/ML roles on Joblaze right now.
- 39 active ASIC roles on Joblaze right now.
- 6 active RTL roles on Joblaze right now.
Quick facts
- Is the ML HW-SW Co-Design Software Tech Lead Manager (TLM) role remote?
- No — this is an on-site role in Mountain View, California, US.
- How much experience is required?
- At least 10 years of relevant experience for this ML HW-SW Co-Design Software Tech Lead Manager (TLM) role.
- Where is the role based?
- Google DeepMind is hiring for this position in Mountain View, California, US.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: silicon development, AI/ML, RTL, ASIC, DV, PD.
- What seniority level is this role?
- Google DeepMind targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this ML HW-SW Co-Design Software Tech Lead Manager (TLM) role at Google DeepMind.
From the original posting
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Snapshot
At 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 You
GenAI 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.
The Role
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.