Senior Staff Software Engineer, Sensor Fusion

At Stack, we are focused on AI advancements across diverse technical domains, transforming how AI is applied in the physical realm. Our solutions are designed to navigate and understand the world with unprecedented safety, reliability, and efficiency, transforming how modern industries operate. Our decades of expertise spans diverse AI applications reflecting our commitment to exploring new frontiers and delivering excellence in AI technology.

We are seeking passionate individuals to join our team, driven to develop and deploy advanced AI products that redefine industry standards, making processes safer, faster, and more efficient. If you thrive in fast-paced tech environments and are eager to contribute to transformative AI solutions, we invite you to join us in shaping the future of technology.

We are looking for strong Computer Vision/Machine Learning engineers to develop, train, and deploy a state-of-the-art perception pipeline for our self-driving vehicles. We seek engineers with strong foundations coupled with a practical, product-focused mindset to produce a highly performant, real-time, safety-critical application.

What Success Looks Like:

• Own delivery of perception modules that solve on-vehicle problems and deliver for customer needs - downstream tracking, prediction, and decision making teams.
• Develop state-of-the-art multi-modal perception approaches to efficiently and robustly model the world for a self-driving system.
• Highly cross-functional collaboration and design to align architecture and approaches for data driven development.
• Comfortable deploying models to production with resource constrained environments.
• Experience publishing in top tier technical venues, PhD in deep learning, perception, or machine learning a plus.

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.