Jobs at Kodiak Robotics

Lead the design and execution of the Autonomy Fault Management System, ensuring safe operation through all stages of development while collaborating with cross-functional teams.

Lead development of learned scene estimation and multi-sensor fusion for autonomous perception. Improve multi-target tracking, measurement association, and robust state estimation. Build algorithms to handle noisy measurements, create tooling/metrics/visualizations, and deliver high-reliability deployed software while collaborating across teams.

As a Software Engineer, you'll design and implement a high-performance computational geometry library, develop geometric algorithms, optimize performance, establish testing frameworks, and enhance collaboration across teams.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

As a Senior Software Engineer, you will design algorithms for motion planning, improve AI behavior predictions, and enhance planning tools while collaborating across teams.

The Hardware Quality Industrialization Engineer will enhance quality processes, manage suppliers, analyze returns, and implement corrective actions in a growing manufacturing team.

The role involves designing and implementing software infrastructure for autonomous systems, collaborating across domains, and optimizing performance metrics.

The engineer will derive requirements for safe driving in self-driving vehicles, collaborate on algorithms, and support testing and system design for autonomy.

The Systems Engineer will design and execute Kodiak's Autonomy Fault Management System, addressing faults safely to enhance driverless vehicle deployment and performance.

Design and deploy machine learning systems for autonomous vehicles, collaborating with teams to improve model performance and safety using real-world data.