Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year 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 specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience developing accessible technologies.
About the jobThe Tensor Processing Unit Supply Chain and New Product Introduction team operates at the intersection of machine learning, compilers, and Tensor Processing Unit hardware.
In this role, you will collaborate with teams across hardware and software, and enable Google to have the industry's most performant machine learning chip (Tensor Processing Unit) at the hands of machine learning modeling teams. The majority of machine learning at Google (and for Cloud customers) flows through tools that the Tensor Processing Unit backend and New Product Introduction team is creating, so impact is both immediate and massive.
The US base salary range for this full-time position is $147,000-$211,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities - Contribute to the Tensor Processing Unit SparseCore compiler for a processor designed to accelerate machine learning workloads.
- Architect and compile implementations of operations at a distributed scale.
- Work with users of Tensor Processing Units to improve performance and hardware designers to co-design future processors, and investigate high-level representations to program distributed, and heterogeneous systems.
- Enable a processor to accelerate machine learning workloads.
