Gatik AI, a pioneer in autonomous middle-mile logistics, is seeking a Senior/Staff Algorithm Engineer to join their Vehicle Chassis team in Mountain View, CA. This role is at the intersection of automotive engineering and autonomous vehicle technology, focusing on developing critical control systems for their autonomous truck fleet.
The position requires expertise in embedded ECU software development for safety-critical applications such as steering control, brake control, and throttle actuation. You'll be working with state-of-the-art autonomous vehicle technology, developing and implementing control algorithms that are crucial for the safe operation of Gatik's autonomous fleet.
As a leader in the autonomous logistics space, Gatik has achieved significant milestones, including launching the world's first fully driverless commercial transportation service with Walmart. The company operates across major markets including Texas, Arkansas, and Ontario, Canada, focusing on B2B short-haul logistics that optimize supply chain efficiency.
The role offers an opportunity to work on cutting-edge technology in the autonomous vehicle industry, with a focus on practical, commercial applications. You'll be part of a team that's directly impacting the future of logistics and autonomous transportation, working with Fortune 500 retailers and contributing to the development of Gatik's proprietary Level 4 autonomous technology, Gatik Carrier™.
The position requires working onsite 5 days a week at the Mountain View office, allowing for close collaboration with the engineering team and hands-on work with vehicle systems. You'll be responsible for the entire lifecycle of algorithm development, from requirements drafting to implementation and validation, ensuring compliance with automotive safety standards and best practices.
This is an ideal role for someone with a strong background in automotive engineering, particularly in embedded systems and control algorithms, who wants to be at the forefront of autonomous vehicle technology development. The position offers the opportunity to work on real-world applications of autonomous technology that are already making a significant impact in the logistics industry.