Senior Software Engineer, Inference, ML Platform

Company: Waymo
Location: Mountain View
Posted on: May 6, 2024

Job Description:

Senior Software Engineer, Inference, ML Platform Mountain View, California, United States Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver-The World's Most Experienced Driver-to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing. At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility andmake people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees whohave integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture.We want each team member to feel welcomed and included in every step of our excitingjourney. 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 systemsIt'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 systemsWhile 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 The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $192,000 - $243,000 USD We appreciate your interest in Waymo. Waymo is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to ensuring equal opportunity for qualified individuals with disabilities. If you are an individual with a disability and require an accommodation to participate in the application or interview process, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.) Apply now Resume/CV* Upload file .pdf, .doc, or .docx only. Attachments must not exceed 10MB. Upload file .pdf, .doc, or .docx only. Attachments must not exceed 10MB. How did you hear about this opportunity? A personal contact at Google/Alphabet told me about the opportunity A personal contact at Waymo told me about the opportunity Alphabet's Internal Job Board (Grow) Handshake Indeed LinkedIn Social Media (Facebook, Twitter, etc.) University Event (info session, tech talk, luncheon, etc.) University Job Board Waymo Careers Page Waymo Industry Event (conference, career fair, etc.) Word of Mouth Other Work Authorization* Note: Upon hire, all employees are required to submit proof of legal right to work, consistent with applicable law. Waymo also participates in the E-Verify program. I am authorized to work for any employer in the country in which this position is based. I require, or in the future will require, Waymo's sponsorship to obtain work authorization in the country in which this position is based (e.g. H-1B, TN, etc.) My status to work in the country in which this position is based is unknown. Please review and acknowledge our Candidate Privacy Policy linked below:* I acknowledge that I have read and understood the terms of the Waymo Applicant and Candidate Privacy Policy. Are you a current or former Alphabet employee (including Google and other Alphabet subsidiaries)?* Current Alphabet Employee or Intern Former Alphabet Employee or Intern Current or Former member of Alphabet extended workforce Never worked at Alphabet Waymo would greatly appreciate it if you could provide us with your identity information. Your individual identity data will not be accessible to recruiters, hiring managers or others who interview you. Instead, it is used in aggregate to track and report Equity, Inclusion, and Diversity (EID) progress. Answering these questions is entirely voluntary, and a decision not to answer will not be held against you. If you decide to provide demographic information, it will be recorded and maintained in a confidential file. Whatever your decision about providing this data, it will not be considered in the hiring process or as a basis for employment decisions. If you are offered and accept employment with Waymo, the information collected during the application and recruitment process will become part of your confidential employment record. Gender Man Woman Non-Binary I don't wish to answer Race/Ethnicity (Select all that apply) Race/Ethnicity (Select all that apply) Hispanic or Latino American Indian or Alaska Native Asian Black or African American Native Hawaiian or Other Pacific Islander White I don't wish to answer Are you a veteran or reservist? Are you a veteran or reservist? Yes No I don't wish to answer Do you identify as a member of the LGBTQ+ (e.g., lesbian, gay, bisexual, queer, asexual) community? Do you identify as a member of the LGBTQ+ (e.g., lesbian, gay, bisexual, queer, asexual) community? Yes No I don't wish to answer By submitting my application, I certify that the information provided (including in my resume/CV) is true and correct. I understand that any misrepresentations or false statements made in connection with the recruitment process may be grounds for disqualification from further consideration for employment or, if employed, separation of employment. Sorry, an error occurred. Please verify all fields have been filled and try again. Your application has been successful. Thank You You should receive an e-mail within the next few minutes.
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Keywords: Waymo, Newark , Senior Software Engineer, Inference, ML Platform, IT / Software / Systems , Mountain View, California