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Design and implement deep learning algorithms for computer vision applications, utilizing C++ and Python. Lead neural network development for robotics challenges and automate training pipelines.

Design and implement onboard software infrastructure for autonomous vehicles, collaborating across domains to optimize performance using modern C++.

Design, implement, and maintain simulation capabilities for autonomous vehicles, focusing on testing algorithms and improving simulation fidelity.

The Systems V&V Engineer is responsible for developing verification and validation methods for autonomous vehicles, executing tests, analyzing results, and ensuring safety and performance of technology stack.

Develop deep learning models for computer vision, design training pipelines, and collaborate to integrate models into production.

Design and implement algorithms for safe and efficient driving behavior, improving truck planning and prediction under challenging conditions.

The Supplier Quality Engineer will design quality processes with suppliers, drive root cause analysis, establish test strategies, and oversee compliance for manufacturing partners.

Develop and optimize software infrastructure for Kodiak's robotics platforms, collaborating with engineers and working with sensors and LIDAR systems.

Develop onboard navigation and pose estimation algorithms, optimize sensor fusion, and troubleshoot performance metrics for autonomous systems.

Design and implement control strategies for safety-critical systems in autonomous vehicles, collaborating with hardware and motion planning teams.