Stack AV

Full-stack Engineer

• Play a key role in designing and building the next generation of data infrastructure.
• Build low latency/high throughput, fault tolerant batch or stream processing systems.
• Build scalable backend services for data search and data curation systems.
• Write high quality Python and SQL.

Senior Software Engineer, AI Data Infrastructure

• In the ML Training, our mission is to provide a reliable, scalable, and easy to use training framework for modeling needs of Stack AV.
• In addition, this team is responsible for the overall developer experience of ML engineers including building tools for testing, validation, and understanding models and the data used to train them.
• Finally, we are responsible for model optimization and deployment.

Staff Software Engineer, ML Training Infrastructure

• Contribute to the technical direction of the Perception Architecture team and the broader perception organization.
• Design and develop core machine learning components and architectures that enable the perception system to scale and reliably address complex, long-tail driving scenarios.
• Drive the initial implementation and prototyping of key architectural decisions, such as handling long tail challenges or long range detection.
• Contribute to the improvement of model frameworks, architecture, and data pipelines to eliminate development bottlenecks and accelerate model iteration.
• Lead challenging technical topics and build consensus across sister teams (e.g., dynamic world, static world) and stakeholders to ensure autonomy-wide alignment.

Staff Software Engineer, Perception

• Work in a team to design and develop systems to evaluate the performance of self-driving systems.
• Contribute to the technical direction for the team and work cross-functionally to communicate with stakeholders and solicit feedback from customer teams.
• Write software to run offline simulations, compute autonomy performance measures and aggregate/visualize results.
• Work closely with systems engineers to ensure a safe, well tested product is delivered.
• Collaborate with the various autonomy teams (localization, perception, prediction, planning, controls, etc.) to integrate performance measures for these subsystems.
• Identify bottlenecks and developer pain points and optimize workflows to help create the most efficient autonomy development experience in the industry.
• Provide input to team roadmaps and ensure product features are properly prioritized.
• Be involved in experimentation, design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.

Senior Software Engineer, AI Data Infrastructure

Staff Software Engineer, ML Training Infrastructure

Staff Software Engineer, Perception

Senior Software Engineer, Autonomy Performance Evaluation