Staff Full Stack Software Engineer, Zoox

• 10 YOE+
• Expert-level proficiency in Python; experienced with or feeling comfortable ramping up C++
• Strong background in high-performance computing, data processing, and software architecture design and implementation
• Experience with data query and analysis on a large data warehouse, such as Databricks
• Experience in working with AND supporting multiple teams (supporting ML teams is preferred), leading other team members
• 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

Desirable

• This team owns the data and data platform to support all Perception model training and validation, as well as system validation beyond Perception
• The platform supports sample curation, data mining, data labeling, and ML dataset management. High quality data and efficient data flywheel are central to ML model development, enabling teams to efficiently iterate and improve model performance at scale while Zoox expands its business domain
• In this role, you will improve and scale the platform, while also building new features and expanding cross-pillar adoption through Python/C++ tooling, APIs, and data engineering
• Your work spans backend API development, data pipelines, and integration with model training and testing workflows, ultimately providing the infrastructure that powers data flywheel at scale
• Work on the Data Flywheel that supports multiple Perception ML teams with data mining, labeling, and curation, to help ML teams improve model performance via better data
• Quickly ramp up on our team’s current stack and systems, deliver solutions, and improve solutions based on other teams’ feedback
• Innovate solutions that leverage AI to drive process automation and efficiency
• Help coach more junior engineers by reviewing their design and implementation

• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us