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’re currently looking for research scientists with specialized skills in Autonomous Driving, especially w.r.t. end-to-end Autonomy Stack. You will play a vital role in developing ML models that accurately map and perceive the environment, predict the behavior of surrounding agents, and plan and select optimal trajectories for our AVs. In this pivotal role, you’ll be instrumental in designing and refining the ML algorithms that enable our trucks to safely navigate and operate in complex, dynamic environments. You will collaborate with a team of experts in AI, robotics, and software engineering to push the boundaries of what’s possible in autonomous trucking.

What you’ll do

• Develop novel end-to-end algorithms for Autonomy Stack
• Conduct research on foundation models for driving 
• Develop robust, interpretable, and explainable Autonomous Driving models
• Push forward the cutting-edge AI large/foundation model-related methods for use in the Autonomy Stack for any subset of Mapping, Perception, Planning and Selection
• Test ML models in simulation to ensure robust performance and generalization
• Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance quality and reliability
• Participate in the AI Research team activities targeting internal education and external scientific image
• Work closely with the Production teams to push your idea into the deployment
• Propose new ideas and build on top of state-of-the-art knowledge

What we’re looking for

• You have a Ph.D. 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: Foundation Modeling (preferable), Perception / Behavior, Computer Vision, Statistics, Probability theory
• Deep knowledge of Autonomous Driving including
  • Differentiable E2E Autonomous Driving modeling
  • Visual Language Model (VLM) / Multimodal Large Language Model (MLLM)-based approach
  • Foundation model interpretability: end2end vs modular approach
  • Sensor simulation specifics
  • Transformer-based Pipeline
• Experience with sensor and behavior simulation environments for autonomous vehicles, such as CARLA, Waymax, or similar platforms
• Strong foundation in data structures, algorithm design, and complexity analysis
• Expertise in programming languages and tools critical for high-performance computing in Python/C++ 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 (ICRA, CoRL, IROS, ICLR, ICML, NeurIPS, AAAI, IJCAI, CVPR, ICCV, ECCV, etc.)
• You are passionate about Autonomous Driving!