Senior Software Engineer, ML Platform at Zoox

Foster City, California, United States

Zoox Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Driving, Robotics, AIIndustries

Requirements

  • 4+ years of ML infrastructure experience
  • Experience building large-scale distributed multi-node GPU model training and/or high throughput, low latency serving use cases
  • Experience with training frameworks like PyTorch and OSS frameworks like Ray
  • Experience with GPU-accelerated inference using TensorRT, Ray Serve, or a similar framework
  • Experience working with cloud providers like AWS

Responsibilities

  • Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient
  • Build the Off-vehicle inference service powering our Foundational models and the models that improve our rider experiences
  • Lead the design, implementation, and operation of a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models
  • Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions
  • Enable the junior engineers in the team to grow their careers by providing technical guidance and mentorship

Skills

Machine Learning
Deep Learning Frameworks
Inference Libraries
ML Training
Model Serving
Model Validation
Model Monitoring
Scalable Infrastructure
Computer Vision

Zoox

Develops autonomous electric ride-hailing vehicles

About Zoox

Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.

Menlo Park, CaliforniaHeadquarters
2014Year Founded
$1,206.2MTotal Funding
ACQUISITIONCompany Stage
Automotive & Transportation, Energy, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health Insurance
Maternity & Paternity Leave
Vacation & Paid Time Off
Sick Days
Free Lunch or Snacks
Employee Assitance Program

Risks

Increased competition from Waymo and Cruise may impact Zoox's market share.
Expansion into new cities introduces regulatory and operational challenges for Zoox.
Partnership with Williams Racing may divert focus from core vehicle development.

Differentiation

Zoox designs vehicles specifically for autonomous operation, unlike retrofitting existing cars.
Zoox's vehicles feature a unique, futuristic design with advanced AI systems.
Zoox offers a fully integrated ride-hailing service optimized for safety and efficiency.

Upsides

Zoox's expansion into Austin and Miami opens new markets and data collection opportunities.
Partnership with Williams Racing boosts Zoox's brand visibility in the U.S. market.
Hiring former Tesla executive Gao could accelerate Zoox's technological advancements.

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