πGermany, Austria
Senior Staff Tech Lead

Stack AV
πRemote - United States, Worldwide
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Summary
Join Stack's Perception team as a lead to build and deploy perception components for next-generation self-driving systems. You will develop and own critical components, improving and fielding state-of-the-art perception systems in real-time, safety-critical applications. This role demands a product-focused mindset with significant cross-functional collaboration. The ideal candidate will have extensive experience in perception-related fields, deep learning model deployment, and real-time robotic applications. A PhD or 5+ years of experience is required, along with strong C++ skills and experience with GPUs and automated driving.
Requirements
- PhD (or 5+ years of experience) in perception related fields, such as Robotics, Computer Vision, Machine Learning
- 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 perception/tracking solutions for real-time robotic applications
- Excellent performance-oriented C++ engineering skills
- Experience with automated driving
- Experience working with a GPU (cuda)
- Experience in Deep Learning pipelines
Responsibilities
- Identify and develop next generation perception architectures
- Produce a coherent data representation of the environment based on data fusion between map alignment, tracking, drivable area, etc
- Work cross-functionally across perception, mapping, and decision making to ensure autonomy-wide alignment
- Partner with other teams across the company to identify key requirements, dependencies, and prioritize the key use cases that support business outcomes. This includes leading across data collection ops, ML infrastructure, cloud infra, onboard infra, and other partners to ensure e2e delivery of solutions
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