Senior Software Engineer, Inference, ML Platform

The ML Platform team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model development, debugging, inference, deployment, and monitoring. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Routing, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place. We work with machine learning experts in all parts of the company and our collaborators across Alphabet. 

You will focus on developing large-scale and efficient inference solutions for Waymo. This is crucial to the development of Waymo Foundation Models for driving including model evaluation, auto-labeling and distillation.

At a minimum, we'd like you to have:

• B.S. in Computer Science, Math, or equivalent real-world experience
• 5+ years of experience with software development in one or more programming languages (C++ or Python preferred), and with data structures/algorithms.
• 3 years of experience developing large-scale infrastructure or distributed systems. 
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow
• Experience building scalable inference platforms for real-time and batch processing
• ML accelerator profiling, model inference for LLMs, and designing production-grade systems

It's preferred if you have:

• MS in Computer Science, Math, or equivalent real-world experience
• Experience with multi-threaded and stream-based programming models
• Prior experience scaling model inference to multiple accelerators
• Prior experience high-scale distributed or ML inference systems
• Previous experience deploying machine learning models for computer vision, natural language processing, or recommendation systems

While at Waymo, you will enjoy benefits that cover…

Health and wellness: Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, a Flexible Spending Account (FSA), a Health Saving Account (HSA), and special wellness programs.

Financial wellness: Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, a generous 401(k) plan, 1-on-1 financial coaching, a 529 College Savings Plan and lots of other perks and employee discounts.

Flexibility and time off: Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site or hybrid work model and offer remote working opportunities, paid time off, bereavement, sick, and parental leave.

Supporting families: When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include paid parental leave (birthing parent gets 24 weeks of paid leave with up to 4 weeks of additional leave before their due date, and non-birthing parent gets 18 weeks of paid leave), and 20 days of subsidized backup childcare or adult/elder care.. Access to fertility care or adoption support as you grow your family.

Community and personal development: At Waymo, you'll find a range of opportunities to grow, connect, and give back. We offer education reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer.

Cool perks: Access to Google offices, cafes, wellness centers, massages, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.

#LI-Hybrid