Staff Software Engineer, Static World Perception

Staff Software Engineer, Static World Perception

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.

The Static World Perception team is responsible for generating the road elements that govern traffic flow for actors within the driving environment. This is achieved by integrating various onboard data sources, including a priori maps, LiDAR, cameras, GPS, and other available information. As a Staff Engineer, your role will be to lead the design, development and maintenance of the onboard and offboard software pipelines and components, facilitating a cutting-edge online mapping and perception stack.

Responsibilities:

• Contribute to the technical direction of the team and broader perception org.
• Write robust software for real-time, resource-constrained, safety-critical applications.
• Drive highly cross-functional features and work streams from problem statement to delivery in the area of mapping and perception.
• Proactively identify limitations with the existing online mapping system and drive improvements.
• Align stakeholders with strong presentation and communication skills.
• Lead challenging technical topics and build consensus.

Qualifications:

• BS (with 6 years of experience), MS (with 5 years of experience) or PhD (with 3 years of experience) in Autonomous Driving, Robotics or AR/VR
• Track record of driving projects from start to completion, including conception, problem definition, experimentation, iteration, and finally productization.
• Experience in resource constrained software engineering design for EdgeAI. Experience being an architect/tech lead of major onboard components in robotic systems is highly desirable.
• Experience delivering perception/mapping/localization solutions for real-time robotic applications. Prior experience in sensor fusion and/or online mapping is highly desirable.
• Experience in building data and metrics pipelines for ML model development
• Fluency in C++ and Python.

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.