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Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.
Top Skills:
C++CudaNumpyPythonPyTorch
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead cross-functional maritime autonomy integration programs from concept through production and operational deployment. Manage scope, schedules, budgets, resources, risks, technical performance, integration readiness, testing, customer deliverables, and operational outcomes for USV and future UUV programs. Coordinate engineering, product, operations, executive, international, and customer stakeholders; facilitate reviews and decision-making; remove execution blockers; support proposals and strategic growth initiatives.
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Aerospace SystemsAutonomy SoftwareHivemind AutonomySoftware-Enabled SystemsUnmanned Surface Vehicles (Usvs)Unmanned Undersea Vehicles (Uuvs)
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Lead technical programs delivering GPU and CPU compute fleets from infrastructure handover through provisioning, validation, operational acceptance, and steady-state operations. Translate customer and business requirements into delivery plans, manage dependencies and blockers, assess capacity gaps, drive prioritization, establish readiness criteria, and coordinate cross-functional engineering and operations teams. Define delivery metrics, improve forecasting, and identify tooling, automation, and process improvements to increase provisioning throughput and operational readiness.
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The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems.
As a software engineer on the perception mapping team, you will be a key contributor to Zoox’s online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.
In this role, you will:
- Curate, validate, and label datasets for model training and validation
- Research, implement, and train ML models to perform semantic map element detection
- Closely collaborate with validation teams to formulate and execute model validation pipelines
- Integrate models into the greater onboard autonomy system within compute budgets
- Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions
Qualifications:
- MS or PhD or equivalent experience (5+ years) in Computer Science or related field
- Experience in computer vision or robotics
- Experience with training and deploying deep learning models
- Experience with with Python libraries (pytorch, numpy)
Bonus Qualifications:
- Experience with C++
- Experience with CUDA and/or GPU programming
- Experience with mapping related ML techniques
Zoox Foster City, California, USA Office
4000 E 3rd Ave, Foster City, CA, United States, 94404
Zoox Foster City, California, USA Office
1149 Chess Drive, Foster City, CA, United States, 94404
Zoox Fremont, California, USA Office
47540 Kato Road, Fremont, CA, United States, 94538
Zoox San Francisco, California, USA Office
60 Broadway St, San Francisco, CA, United States, 94111
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