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Senior Software Engineer, Vehicle Behaviors (ML Focus)

StackAV

Salary not specified
Nov 7, 2025
Remote, US
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Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations in the trucking transportation industry. The Vehicle Behaviors team is responsible for improving the decision-making capabilities and reliability of the AV in real world scenarios.

Requirements

  • 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
  • Strong Python skills
  • Experience with key ML libraries like PyTorch and TensorRT
  • Experience with cloud orchestration tools like Flyte

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.
  • 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
  • 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.

Other

  • Candidates need to understand, experiment, improve, and field state-of-the-art machine learning systems in real-time, safety-critical applications.
  • We are focused on building a product.
  • Candidates should have a mission-driven mindset and customer-centric obsession to deliver a compelling product, and be able to work with significant cross-functional interactions.
  • Strong written and verbal communications skills
  • This position may also involve working with software and technologies subject to U.S. export control regulations.