Senior Engineering Manager, Zoox
ML Platform
$317-370k
+ Amazon Restricted Stock Units + Zoox Stock Appreciation Rights
Office located in Foster City, CA
Autonomous vehicle technology
Be an early applicant
Autonomous vehicle technology
1001+ employees
Be an early applicant
$317-370k
+ Amazon Restricted Stock Units + Zoox Stock Appreciation Rights
Office located in Foster City, CA
1001+ employees
Company mission
To reimagine transportation from the ground up.
Role
Who you are
- 10+ years of relevant experience, including 4+ years of management experience managing other managers and engineers
- Experience building user-friendly ML Infrastructure that enabled large-scale model training and high-throughput, low-latency serving use cases
- Experience with training frameworks like PyTorch, JAX, etc., leveraging GPUs for distributed model training
- Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar frameworks
What the job involves
- Our growing Software Infrastructure engineering leadership team is looking for a Senior Engineering Manager, ML Platform
- The centralized ML Platform team at Zoox plays a crucial role in enabling innovations across all our Autonomy and Data Science teams to develop and deploy models across our robotaxi and cloud infrastructure, and to work on cutting-edge training and inference optimization techniques
- We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure, and ensure these models run efficiently on our vehicles, meeting our latency targets
- You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and our Advanced Hardware Engineering group, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox
- We build and operate the base layer of ML tools, deep learning frameworks, and inference libraries used by our applied research teams for in- and off-vehicle ML use cases
- You will lead a team of strong software engineers and managers and act as a force multiplier for our internal customers
- This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains
- Vision: Develop and execute a strategic vision for our ML training platform, ensuring scalability, reliability, and performance to support large-scale Foundation and RL models
- Technical acumen: Lead the design, implementation, and operation of a robust and efficient ML training platform to enable the training, experimentation, validation, and monitoring of ML models
- Hiring: Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence
- Partnership: Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers to define requirements and align on architectural decisions
- Mentorship: Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback
Our take
Zoox, a self-driving vehicle company, was founded to make personal transportation safer and more enjoyable for all. It has aimed to achieve this goal by creating a new mode of driverless transportation, thus eradicating the safety and logistical issues that come with human drivers.
It revealed its custom vehicle design in December 2020, showcasing something different from just a car without a driver. Uniquely, all four wheels are independent of one another, and the vehicles have no front or back, making them more agile than a standard car. Zoox claims that it is different from other industry players because it has created an entire driverless ecosystem, including the vehicle itself, allowing it to have more control.
The company is fast becoming a major player in an industry that is predicted to be worth $2 trillion by 2030. Electric motors are highly desirable, particularly in an urban environment, as governments look for ways to reduce emissions and improve air quality. Zoox is aiming to play a vital role in this evolution towards more sustainable urban mobility. Amazon acquired the company in 2020 and, despite a general downturn in the sector through 2022, opened its first Zoox factory for robotaxis in 2025, and is testing the autonomous vehicles in multiple cities in the US.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
24% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2019
$200m
CONVERTIBLE
Jul 2018
$500m
SERIES B
Total funding: $1.2bn
Company benefits
- Paid parental leave
- Affinity groups and sports clubs
- Work from home opportunities
- Health insurance
- Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
- We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
- We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
- There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description
Company HQ
Vintage Park, Foster City, CA
Leadership
Aicha Evans
(CEO)Having studied at the George Washington University, Aicha started her career with 2 years in Engineering at Skyworks before joining Intel, where she spent over 11 years. She left her role as Corporate Strategy Officer in February 2019 to join Zoox as CEO.
Jesse Levinson
(CTO)Prior to co-founding Zoox, completed a Computer Science PhD at Stanford University. Also created Pro HDR, a million+ selling mobile photography app.
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