Senior/Staff Robotics Integration & Testing Engineer Mountain View, CA
Company: Gatik AI Inc.
Location: Mountain View
Posted on: November 15, 2024
Job Description:
Who we are
Gatik, the leader in autonomous middle mile logistics, delivers
goods safely and efficiently using its fleet of light & medium-duty
trucks. The company focuses on short-haul, B2B logistics for
Fortune 500 customers including Kroger, Walmart, Tyson Foods,
Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to
optimize their hub-and-spoke supply chain operations, enhance
service levels and product flow across multiple locations while
reducing labor costs and meeting an unprecedented expectation for
faster deliveries. Gatik's Class 3-7 autonomous box trucks are
commercially deployed in multiple markets including Texas,
Arkansas, and Ontario, Canada.
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 Mountain View, 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
- 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.
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Keywords: Gatik AI Inc., Berkeley , Senior/Staff Robotics Integration & Testing Engineer Mountain View, CA, Engineering , Mountain View, California
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