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Kodiak develops a purpose-built autonomous solution called the Kodiak Driver, which is designed to integrate into various driving platforms for movement across multiple environments. The company serves the commercial freight industry, the public sector, and heavy industry by providing autonomous technology for trucking, defense applications, and industrial operations. By combining artificial intelligence, modular hardware, and offboard services into an integrated platform, Kodiak aims to improve transportation efficiency and safety. IKEA serves as a driverless launch partner for the company, and services operate between locations such as Dallas and Laredo.

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About Kodiak

Kodiak develops a purpose-built autonomous solution called the Kodiak Driver, which is designed to integrate into various driving platforms for movement across multiple environments. The company serves the commercial freight industry, the public sector, and heavy industry by providing autonomous technology for trucking, defense applications, and industrial operations. By combining artificial intelligence, modular hardware, and offboard services into an integrated platform, Kodiak aims to improve transportation efficiency and safety. IKEA serves as a driverless launch partner for the company, and services operate between locations such as Dallas and Laredo.

In its work involving artificial intelligence and machine learning, Kodiak builds an AI-powered ground autonomy solution and self-driving software stack. This technology is utilized to power autonomous commercial trucks and is also deployed to support autonomous capabilities for the U.S. Department of Defense. The company uses cloud infrastructure from AWS for its AI-powered autonomous trucking technology development.

The open roles indicate that Kodiak is building engineering teams focused on autonomy software, mapping, and localization. Current open positions include Senior Autonomy Software Engineer and Staff Autonomy Software Engineer roles located in Mountain View, California. These roles require senior-level engineering expertise, such as a background in state estimation, inertial navigation, sensed odometry, C++, and sensor fusion for deployed applications.

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