Tech Lead, Perception

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 currently looking for an experienced Technical Lead with specialized skills in Computer Vision specifically related to Autonomous Driving applications - LiDAR, camera, and radar Perception technologies. As a key member of our team, you will be responsible for developing and implementing Machine Learning models that accurately detect and track the surrounding environment, thereby enabling safe and reliable behavior downstream processing for our AVs. In this pivotal role, you'll be instrumental in designing, implementing, and deploying the ML algorithms that enable our trucks to safely navigate and operate in complex, dynamic environments both on-vehicle and within simulation environments for validation. This position requires a strong technical and ML background, hands-on software engineering experience, and a knack for technically lead engineers. You will collaborate with a team of experts in AI Research, robotics, and software engineering to push the boundaries of what's possible in autonomous trucking.

What you'll do:

• Develop and / or adjust existing state-of-the-art perception algorithms for autonomous vehicles to advance / complement research in sensor fusion, 3D object detection, segmentation, and tracking in complex dynamic environments
• Work on multiple parts of the Perception ML pipeline: 2D and 3D, closed and open vocabulary detection, data-driven tracking, classification and segmentation
• Design and implement sensor fusion, sensor degradation, and other safety-critical systems
• Lead initiatives to collect, augment, and utilize large-scale datasets from sensors such as cameras, LiDAR, and radar for training and validating perception models under various driving conditions
• Develop robust testing and validation frameworks to ensure the reliability and safety of the perception systems across diverse scenarios and edge cases
• Conduct thorough validation and testing of ML models in simulation and real-world environments to ensure robust performance and generalization
• Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance prediction accuracy and reliability

What we're looking for:

• Ph.D. or highly qualified M.S. candidate in one or more of the following areas: Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field
• You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general 
• You have at least 1-3 years of research experience in one or more of the following areas: Perception (preferable), 2D and 3D Computer Vision, Statistics, Probability theory 
• You have at least 1 year of technical leadership experience inside an industrial setting
• Experience in data science including data collection, analysis, hypothesis formulation and verification
• Deep knowledge of Autonomous Driving Perception including
  
  • 2D vs 3D Detection
  • Camera vs LiDAR vs Radar
  • BEV map
  • ML-based tracking 
  • Sensor fusion
  • Sensor calibration
  • Sensor degradation
• Strong foundation in data structures, algorithm design, and complexity analysis
• Experience with latency analysis and optimization of safety critical software systems
• Expertise in programming languages and tools critical for high-performance computing in Python/C++ including large-scale data processing, parallel programming, code optimization and machine learning including Deep Learning frameworks like TensorFlow/PyTorch 
• Demonstrated ability to publish research findings in any of the top-tier technical journals and conferences (CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, ICLR, ICML, ICRA, CoRL, IROS, etc.)
• You are passionate about Autonomous Driving!

More about Gatik:

With headquarters in Mountain View, CA and offices in Canada, Texas, Louisiana and Arkansas, Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at Gatik for more company information and Jobs @ Gatik for more open roles.   Gatik News:

• Gatik AI Website
• Tyson Foods Takes First Taste Of Autonomous With Gatik
• The 10 most innovative companies in transportation of 2023
• America’s Best Startup Employers of 2023 by Forbes
• America’s Best Startup Employers of 2022 by Forbes
• Gatik been named as a 2023 FreightTech 25 winner!
• Gatik named a TIME Best Invention of 2022
• Apeksha Kumavat recognized on the Inc. 2022 Female Founders 100 List
• Gatik’s Gautam Narang on the importance of knowing your customer
• Gatik CEO Gautam Narang was Named Among the Most Exceptional Entrepreneurs of 2022 by Goldman Sachs

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.