# ML HW-SW Co-Design Software Tech Lead Manager (TLM)

**Company**: Google DeepMind
**Location**: Mountain View, California, US
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q15733006

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7509867
**Canonical**: https://yubhub.co/jobs/job_6be97e03-e54

## Description

We are seeking a highly motivated ML Software Tech Lead Manager to join our HW-SW Co-design team. As a technical expert, you will lead a small, high-impact team to drive advances in machine learning acceleration. Your primary responsibilities will include direct technical contribution, technical team leadership, architectural alignment, HW-SW strategy, and execution management.

You will spend a significant portion of your time on technical execution while managing a multi-disciplinary team to evolve our software stack. You will directly contribute to the codebase and technical strategy, focusing on acting as a Mountain View-based bridge between our co-design time and the Gemini core team.

You will lead a small team of ML software engineers across numerics, performance optimization, novel training techniques, and novel model exploration. You will drive team cohesion by synthesizing fragmented technical opinions into a single, high-quality execution plan.

You will partner closely with the hardware team to define requirements for next-generation ML accelerators. You will oversee technical execution across a virtual team including Google-internal and external partners.

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.

## Skills

### Required
- high-performance software
- AI/ML
- technical leadership
- architectural alignment
- HW-SW strategy
- execution management

### Nice to have
- 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