Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree or equivalent practical experience
- 8 years of experience in software development
- 5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
- 3 years of experience in a technical leadership role
- 2 years of experience in a people management or team leadership role
More about this role
- Provide coaching, mentorship, and career growth for engineers working across large-scale distributed ML systems, performance optimization, and open-source generative AI models.
- Partner with Tech Leads, product management, and cross-functional teams to define and execute the roadmap for scalable JAX-based LLM (MaxText) and Diffusion (MaxDiffusion) frameworks.
- Guide the team in implementing core performance optimizations (e.g., quantization, sparsity, custom kernels) and supporting new accelerator architectures (TPUs and GPUs) on GCP AI Hypercomputer.
- Collaborate closely with DeepMind, Core ML, and the open-source community to deliver high-quality, reusable software artifacts and benchmark-setting MLPerf submissions.
- Balance rapid model innovation with sustainable engineering practices, operational reliability, and high-trust team environment.
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or...
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