Stack is developing revolutionary AI and advanced autonomous systems for the trucking transportation industry, aiming to enhance safety, reliability, and efficiency. The Dynamic World Perception team specifically needs to develop real-time detection of road actors and properties using occupancy networks and other perception algorithms to accurately identify and classify dynamic elements in the driving environment.
Requirements
- Extensive experience architecting, training, and deploying deep learning models into real-world environments.
- Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
- Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications.
- Prior experience in sensor fusion is highly desirable.
- Strong experience in software engineering and machine learning algorithm design.
- Fluency in Python.
- Experience with C++.
Responsibilities
- Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities.
- Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range.
- Contribute to improvement of model frameworks, architecture, and data pipelines.
- Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments.
- Drive highly cross-functional features and workstreams from problem statement to delivery.
- Contribute to the technical direction of the team and broader perception org.
- Lead challenging technical topics and build consensus.
Other
- Align stakeholders with strong presentation and communication skills.
- This position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status.
- This position may also involve working with software and technologies subject to U.S. export control regulations.
- We are proud to be an equal opportunity workplace.
- We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
