Senior/Staff Robotics Integration Engineer

gatikaiinc

Santa Clara, CA · Santa Clara · United States

Posted Mar 10, 2026

Other
Hybrid
Robotics and Autonomy

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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 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 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 simulation environments (e.g., Gazebo, Carla) to create reproducible test scenarios for rapid validation of updates and new features.
Troubleshoot and debug issues related to sensor integration, data processing, and software-hardware communication to resolve failures quickly and ensure continuous system improvement.
Collaborate with software and hardware teams to optimize system performance and address integration challenges, particularly for sensors like Lidar, radar, cameras, and GPS.
Analyze and interpret large volumes of test data to identify trends, optimize system performance, and contribute to root-cause analysis.
Automate testing and validation workflows, leveraging tools such as Jenkins or custom Python scripts to improve testing efficiency and reliability.

What we're looking for

Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Computer Science, or a related field.
4+ years of experience in testing, validation, and integration of autonomous or robotic systems, preferably in an autonomous vehicle or transportation environment.
Strong proficiency in ROS/ROS2, C++, and Python, with solid understanding of robotic perception, sensor fusion, and navigation systems.
Familiarity with simulation tools (Gazebo, Carla) and hardware-in-the-loop (HIL) testing techniques.
Hands-on experience with sensors commonly used in autonomous vehicles, such as Lidar, radar, cameras, and IMUs, including calibration and troubleshooting.
Experience in data analysis and performance optimization, with the ability to interpret logs and create reports for system-level improvements.
Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced, team-oriented environment.

Bonus Points

Experience with CI/CD workflows and test automation for robotics or autonomous vehicle systems.
Knowledge of machine learning and perception algorithms used in autonomous driving.
Background in data logging, data processing, and big data analysis for autonomous systems testing.
Experience with Linux, Docker, Git, and other tools for robotics development and deployment.

Salary Range- $170,000- $250,000

More about Gatik

Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory 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 unmanned operations.

Visit us at Gatik for more company information and Careers at Gatik for more open roles.

Notable News

Taking care of our team

At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.

We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.