Our purpose-built autonomous solution, the Kodiak Driver, is the AV industry’s most advanced driverless technology, seamlessly integrating into any driving platform for reliable movement in any environment. Learn how we’re shaping the future of ground... Backed by Battery, Lightspeed and CRV.
About the role
We're looking for a Software Engineer focused on onboard vehicle systems to take a key role in designing and implementing our core vehicle integrations. You'll work across domains to bring together embedded devices, AI, and compute hardware into a highly reliable system, and you'll test and deploy autonomous trucks for real customers. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- BS or MS in Computer Science or a related field, or equivalent experience
- 5+ years building software connected to hardware
- Proficiency in modern C++
- Experience with automotive communication protocols such as CAN
- Comfort developing and debugging complex software on Linux
More about this role
Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.
Kodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.
We're looking for a Software Engineer focused on onboard vehicle systems to take a key role in designing and implementing our core vehicle integrations. You'll work across domains to bring together embedded devices, AI, and compute hardware into a highly reliable system, and you'll test and deploy autonomous trucks for real customers.
- Own the integration between autonomy hardware and...
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