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
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don't wish to answer Do you identify as a member of the LGBTQ+
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identify as a member of the LGBTQ+ (e.g., lesbian, gay, bisexual,
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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, Santa Clara , Senior Software Engineer, Inference, ML Platform, IT / Software / Systems , Mountain View, California
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