Description:

Stack is developing revolutionary AI and advanced autonomous systems to enhance safety, reliability, and efficiency in modern operations.
The Perception team is seeking a lead to build and deploy perception components for next-generation self-driving systems.
The role requires strong ownership over critical components to understand, experiment, improve, and field state-of-the-art perception systems in real-time, safety-critical applications.
Candidates should have a mission-driven mindset focused on delivering a product, which involves significant cross-functional interaction and a customer-centric approach.
Responsibilities include identifying and developing next-generation perception architectures, producing coherent data representations of the environment through data fusion, and ensuring autonomy-wide alignment by working cross-functionally across perception, mapping, and decision-making.
The role also involves partnering with other teams to identify key requirements, dependencies, and prioritize use cases that support business outcomes, including leading data collection operations and ensuring end-to-end delivery of solutions.

Requirements:

A PhD or 5+ years of experience in perception-related fields such as Robotics, Computer Vision, or Machine Learning is required.
Candidates must have extensive experience in architecting, training, and deploying deep learning models in real-world environments.
A track record of driving applied research projects from conception to completion, including experimentation and productization, is essential.
Experience in delivering perception/tracking solutions for real-time robotic applications is necessary.
Excellent performance-oriented C++ engineering skills are required.
Candidates should have experience with automated driving and working with GPUs (CUDA).
Familiarity with deep learning pipelines is also required.

Stack is committed to being an equal opportunity workplace, promoting diversity and inclusion across various dimensions.
The company fosters a culture of entrepreneurship and innovation, encouraging diverse teams to produce the best ideas and outcomes.
The position may involve compliance with U.S. national security laws, which could affect employment eligibility based on residence, U.S. person status, or citizenship status.