Tomasz Cwik is a highly accomplished Staff Software Engineer at Google, recognized for his substantial contributions to the fields of machine learning and artificial intelligence. He has been instrumental in the development and optimization of core Google technologies, notably playing a key role in projects like TensorFlow and JAX. His expertise lies in high-performance computing, distributed systems, and the underlying infrastructure that powers large-scale AI models. Tomasz's work focuses on enabling researchers and developers to build, train, and deploy cutting-edge AI applications more efficiently and effectively, pushing the boundaries of what's possible in AI.
Tomasz Cwik's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Significantly contributed to the architecture, development, and performance optimization of TensorFlow, one of the world's most widely adopted open-source machine learning frameworks, empowering millions of users.
Played a pivotal role in the creation and advancement of JAX, a Python library for high-performance numerical computing and machine learning research, particularly known for its composable function transformations like automatic differentiation and JIT compilation.
Contributed to the development and improvement of XLA (Accelerated Linear Algebra), a domain-specific compiler for linear algebra that optimizes TensorFlow and JAX computations for various hardware accelerators like TPUs and GPUs.
His work on foundational ML libraries and systems has directly supported groundbreaking research and the development of large-scale models within Google and the broader AI community.
Stanford University - Year 2020
French Institute of Management - Year 2019
Politechnika Wrocławska
Wyższa Szkoła Bankowa we Wrocławiu
Politechnika Wrocławska
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
finQbit is a financial technology firm specializing in providing cutting-edge solutions for quantitative analysis, algorithmic trading, and risk management. They aim to empower financial institutions, hedge funds, and proprietary trading firms with high-performance tools and platforms by combining deep financial knowledge with advanced technological expertise.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.