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 seeking a Senior/Staff Software Engineer to join our Localization team to build state-of-the-art sensor fusion solutions that combine data from a wide variety of sensors, as well as localization algorithms that integrate with maps in real time. We are looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. You will play a critical part in building robust, real-time localization solutions, leveraging real-time sensor measurements to achieve high accuracy in diverse and challenging environments. This role is onsite 5 days at our Santa Clara, CA office! What you'll do Design, develop, and optimize sensor-based localization and odometry algorithms to improve the positioning accuracy of autonomous vehicles. Implement algorithms for sensor fusion, utilizing data from IMU, GPS, Lidar, and other sensors to create a robust, reliable localization pipeline. Develop and integrate real-time SLAM techniques for both structured and unstructured environments. Collaborate closely with perception, mapping, and control teams to ensure the seamless integration of localization outputs within the autonomous driving stack. Conduct rigorous testing and validation in both simulation environments and real-world scenarios, focusing on challenging conditions like urban and unstructured environments. Analyze and debug complex issues in localization, implementing improvements based on both field test data and user feedback. Research state-of-the-art techniques in lidar and camera-based localization, keeping the localization stack up-to-date with advancements in sensor processing and computational efficiency. Contribute to performance benchmarking, tuning, and continuous improvement efforts to meet real-time constraints and increase system robustness. What we're looking for M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field. 6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc. 2+ years of experience in the AV/ADAS industries. Experience in developing localization algorithms for autonomous vehicles or robotic systems, with a strong focus on GPS-IMU sensor fusion and SLAM. Proficiency in C++ and Python, with hands-on experience in ROS/ROS2. Experience with pose estimation, SLAM, probabilistic filtering, Kalman filtering, and non-linear optimization. Practical experience in processing large-scale and real-world data sets. Experience implementing mathematical principles effectively in software Expert-level knowledge of SLAM, GNSS/INS. Experience with sensor fusion and sensor calibration techniques, particularly integrating IMU, GPS, and Lidar data for enhanced localization accuracy. Experience with performance optimization and real-time system requirements Bonus Qualifications Experience with MATLAB / Simulink. Proficiency in linear algebra, probability, and optimization techniques. Proven ability to optimize and deploy real-time control systems in fast-paced environments. Salary Range- $180,000- $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 Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million Forbes: Hundreds’ Of Gatik Robot Delivery Trucks Headed For U.S. Roads Forbes: Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry Business Wire: Gatik Paves the Way for Safe Driverless Operations (‘Freight-Only’) at Scale with Industry-First Third-Party Safety Assessment Framework Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny 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. E-Verify Notice: By submitting your application, you acknowledge that Gatik participates in the U.S. Department of Homeland Security E-Verify program

Requirements

Must-haves

This role is onsite 5 days at our Santa Clara, CA office!
Design, develop, and optimize sensor-based localization and odometry algorithms to improve the positioning accuracy of autonomous vehicles.
Implement algorithms for sensor fusion, utilizing data from IMU, GPS, Lidar, and other sensors to create a robust, reliable localization pipeline.
Develop and integrate real-time SLAM techniques for both structured and unstructured environments.
Collaborate closely with perception, mapping, and control teams to ensure the seamless integration of localization outputs within the autonomous driving stack.
Conduct rigorous testing and validation in both simulation environments and real-world scenarios, focusing on challenging conditions like urban and unstructured environments.
Analyze and debug complex issues in localization, implementing improvements based on both field test data and user feedback.
Research state-of-the-art techniques in lidar and camera-based localization, keeping the localization stack up-to-date with advancements in sensor processing and computational efficiency.
Contribute to performance benchmarking, tuning, and continuous improvement efforts to meet real-time constraints and increase system robustness.
M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc.
2+ years of experience in the AV/ADAS industries.
Experience in developing localization algorithms for autonomous vehicles or robotic systems, with a strong focus on GPS-IMU sensor fusion and SLAM.
Proficiency in C++ and Python, with hands-on experience in ROS/ROS2.
Experience with pose estimation, SLAM, probabilistic filtering, Kalman filtering, and non-linear optimization.
Practical experience in processing large-scale and real-world data sets.
Experience implementing mathematical principles effectively in software
Expert-level knowledge of SLAM, GNSS/INS.
Experience with sensor fusion and sensor calibration techniques, particularly integrating IMU, GPS, and Lidar data for enhanced localization accuracy.
Experience with performance optimization and real-time system requirements
Experience with MATLAB / Simulink.
Proficiency in linear algebra, probability, and optimization techniques.
Proven ability to optimize and deploy real-time control systems in fast-paced environments.

Nice-to-haves

Bonus Qualifications

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