Autonomous Vehicle Software Engineer

3 weeks ago


Pittsburgh, Pennsylvania, United States Stack AV Full time
About Stack AV
Stack AV is a pioneering company in the development of revolutionary AI and advanced autonomous systems. Our mission is to enhance safety, reliability, and efficiency of modern operations by leveraging cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies.

We are committed to creating 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, our team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

About the Role
We are seeking strong software and machine learning engineers to help develop and deploy motion planning components for next-generation self-driving systems. This requires owning critical components and understanding, experimenting, improving, and fielding state-of-the-art motion planning machine learning systems in real-time, safety-critical applications. We are focused on building a product, and candidates should have a mission-driven mindset and customer-centric obsession to deliver a compelling product.

Responsibilities
  • Own delivery of motion planning modules that solve on-vehicle problems and meet product requirements and customer needs.
  • Design, scope, implement, and integrate machine learning 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.

Qualifications
  • Experience architecting, training, and deploying machine learned models, specifically scene-level behavior prediction models, joint prediction-planning models, and motion planning models.
  • Knowledge and experience with real-time algorithms and machine learning approaches.
  • Strong experience in software engineering and algorithm design.
  • Fluent in C++ and Python.
  • Experience with standard ML toolchain (PyTorch / TensorFlow, training framework, experiment managers, distributed training, ONNX / TensorRT).


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