Staff Software Engineer, Motion Planning ML

Stack AVPittsburgh, PA
219d

About The Position

Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. We are looking for strong software engineers with motion planning and/or machine learning experience to help in developing and deploying motion planning components for next generation self-driving systems. This requires strong ownership over critical components. Candidates need to understand, experiment, improve, and field state-of-the-art motion planning algorithms and 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.

Requirements

  • Experience building motion planning systems for real world applications with a strong understanding of the pros and cons of various approaches.
  • Knowledge and experience with real-time algorithms.
  • Strong experience in software engineering and algorithm design.
  • Fluent in C++ and Python.
  • Experience architecting, training, and deploying machine learned models.
  • Specific areas of focus: Scene-level behavior prediction models a plus.
  • Experience with standard ML toolchain (PyTorch / TensorFlow, training framework, experiment managers, distributed training, ONNX / TensorRT) a plus.

Responsibilities

  • Own delivery of motion planning modules that solve on-vehicle problems and deliver for customer needs - meeting product requirements and meeting the needs of the controls system, providing a safe, smooth trajectory for the system to follow.
  • Design, scope, implement, and integrate machine learning or classical systems to solve on-vehicle behavior problems in a real-time, resource-constrained environment.
  • Provide input in the technical direction for the team, and work cross-functionally to develop safe systems.
  • 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.
  • Spend time on the vehicles to experience in person the efforts being worked.
  • 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.
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