Stack AV · 3 hours ago
Staff Software Engineer, Vehicle Behaviors (ML Focus)
Stack AV is developing revolutionary AI and advanced autonomous systems to enhance safety and efficiency in the trucking transportation industry. The role involves developing and deploying machine learning systems for motion planning in self-driving systems, requiring strong ownership and collaboration across various technical domains.
Artificial Intelligence (AI)AutomotiveAutonomous VehiclesTransportation
Responsibilities
Design, scope, implement, and integrate machine learning systems to solve on-vehicle behavior problems in a real-time, resource-constrained environment
Develop tooling and infrastructure necessary to measure and iterate on ML models
Provide input in the technical direction for the team, and work cross-functionally to develop safe systems. This will include working closely with other teams such as perception, localization, and controls to ensure that the input to the motion planning modules is appropriate
Work closely with systems engineers to ensure a safe, well tested product is delivered
Work closely with verification teams to ensure proper testing and validation of the motion planning modules. Make extensive use of unit testing, simulation, and log simulation to properly validate their work
Collaborate with other autonomy teams including perception, localization, controls, etc. to ensure solutions are appropriate for real-world performance
Provide input to team roadmaps and ensure product features are properly prioritized
Identify bottlenecks and limitations in system performance, and develop novel motion planning components to unlock new capabilities and ensure a reliable system
Be involved in experimentation, design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills
Qualification
Required
Strong Python skills
Experience with key ML libraries like PyTorch and TensorRT
Experience with cloud orchestration tools like Flyte
Exceptional written and verbal communications skills
Experience developing code for real-world robotics/semi-autonomous platform
Preferred
Deploying state of the art ML models or architectures to solve planning problems on fielded products
Refining ML outputs for use in down-stream planning components
Integrating ML-based planning techniques side-by-side with heuristic approaches in production
Building data mining, data introspection, or other critical ML tooling
Company
Stack AV
Stack AV operates in the transportation industry that develops advanced autonomous systems.
Funding
Current Stage
Growth StageTotal Funding
$1BKey Investors
SoftBank
2023-09-07Series Unknown· $1B
Recent News
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Google Patent
2025-04-02
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