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NEXTMOVEFDE careers · United States

Senior/Staff Robotics Integration Engineer

Technologies

ROS/ROS2 · C++ · Python · Gazebo · Carla · Lidar · radar · IMU · Jenkins · Docker · Git

About Gatik AI

Builds and operates driverless middle-mile freight networks for retailers and CPG shippers using fixed-route Level 4 medium-duty trucks.

Series C

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Internal deployment & tooling · Evidence for this classification:

Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations. About the role We are looking for a talented Robotics Integration and Testing Engineer to join our autonomous vehicle team. In this role, you will play a key part in integrating, validating, and testing autonomous systems, ensuring safe and reliable performance across a range of challenging real-world environments. Your work will directly support the scaling and deployment of our autonomous vehicle fleet, impacting transportation and logistics worldwide. This role is onsite at our Santa Clara, CA office. What you'll do Lead integration efforts of software and hardware components within the autonomous driving system, ensuring seamless operation and robust performance. Develop, execute, and
More from the job description

Who we are Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation. The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations. About the role We are looking for a talented Robotics Integration and Testing Engineer to join our autonomous vehicle team. In this role, you will play a key part in integrating, validating, and testing autonomous systems, ensuring safe and reliable performance across a range of challenging real-world environm [... source excerpt omitted ...] tly support the scaling and deployment of our autonomous vehicle fleet, impacting transportation and logistics worldwide. This role is onsite at our Santa Clara, CA office. What you'll do Lead integration efforts of software and hardware components within the autonomous driving system, ensuring seamless operation and robust performance. Develop, execute, and maintain test plans, cases, and procedures for validating system-level functionality, focusing on critical areas such as perception, navigation, and control. Conduct both in-lab and on-road testing for complex robotic systems, simulating diverse operational scenarios to assess reliability and safety. Utilize simulatio [... source excerpt omitted ...] toward sustainable growth and profitability. We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanne

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