Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible.
The Opportunity
Are you excited to drive our ML Inference Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, 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, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers 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. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent.
In this role, you will:
- Develop and execute a strategic vision for the ML Inference Optimization team to unlock ML innovation in autonomous driving and rider experience.
- Lead the design, implementation, and operation of cutting-edge ML Training OR Inference performance optimization techniques to scale our VLM, VLA, and Foundational models and deploy them efficiently in our robotaxi.
- Collaborate closely with x-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions.
- Enable the engineers in the team to grow their careers by providing technical guidance and mentorship.
Qualifications
- Strong experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training.
- Experience with GPU-accelerated inference using TensorRT or similar frameworks.
- Experience using profiling tools like NVIDIA's Nsight or PyTorch's Profiler for identifying model training and serving bottlenecks.
- Proficient in Python and C++
- Experience with model compression techniques to reduce model size and improve performance.
Note: You do not have to meet all the requirements below to be considered for this position:
Bonus Qualifications
- 10+ years of total experience, including 4+ years of working on large-scale model training or inference platforms.
- Excellent leadership skills with a demonstrated ability to lead high-performing engineering teams.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Zoox Seattle, Washington, USA Office
1111 3rd Ave, Seattle, WA, United States, 98101
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Coordinates daily activities for an OBGYN practice, including scheduling appointments and procedures, patient check-in and check-out, registration, phone support, insurance and referral verification, documentation, EHR updates, and copay collection. Maintains work queues, supports care teams, follows HIPAA and OSHA requirements, delivers customer service, and meets practice performance goals.
Top Skills:
Electronic Health Record (Ehr)EmrEpicExcelMicrosoft OutlookMicrosoft Word
Information Technology
Leads marketing technology architecture, integrations, platform governance, and technical enablement. Designs cloud-native, API-driven solutions across Adobe, Salesforce, CDP, CRM, analytics, and AI platforms; oversees data models, identity resolution, observability, security, and operational health. Manages roadmap prioritization, budgets, vendors, implementations, and a technical team. Establishes AI governance and enables responsible use of generative, predictive, and agentic capabilities across marketing and customer engagement workflows.
Top Skills:
Adobe Experience PlatformAdobe TargetAepAi GovernanceApi GovernanceAWSAws BedrockAzureAzure AiCdpCloud-Native IntegrationsCRMCventData ModelingEvent-Driven ArchitectureHTTPIdentity ResolutionJavaScriptJSONMarketoMonday.ComNode.jsOn24PythonRestful ApisRtcdpSalesforce CRMSalesforce Marketing Cloud
Information Technology
Provides Tier 1 technical support for Google Workspace for Education and related technologies. Responsibilities include ticket triage, troubleshooting, customer guidance, escalations, documentation, administrator training, SLA adherence, and collaboration with internal teams. The role supports school districts through email, phone, and Google Meet while maintaining relevant Google and AI certifications and developing expertise in education technology tools.
Top Skills:
Chrome OsGamGeminiGCPGoogle Workspace Admin ConsoleGoogle Workspace For EducationZendesk
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
