Senior Research Engineer - Planning and Decision Making

Palo Alto, CA
Engineering
Full-time
Gatik is a team of AV researchers and engineers with domain expertise in AI, robotics and computer vision. Founded by graduates and former researchers from Carnegie Mellon Robotics Institute, we are building new concepts & groundbreaking solutions for autonomous vehicles.

We aim to power the next generation of self-driving commercial fleet for urban logistics. We’re looking for top talent that shares our passion and wants to be part of a fast moving execution-oriented team. If you’re a software engineer or a researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.

Responsibilities

    • Understand and analyze state of the art approaches and contribute to algorithm development in the areas of path/motion planning and decision making
    • Design and implement key components of planning stack responsible for defining the vehicle driving behavior
    • Contribute to the behavior prediction of traffic participants perceived around the autonomous vehicle
    • Develop efficient Deep Learning architectures that run in real-time or other resource constrained setting

Qualifications

    • Master's or Ph.D. degree in CS or related field
    • 3+ years of professional experience with software development for robotic systems
    • Experience with emerging deep learning based motion planning approaches (LSTMs, Deep Reinforcement Learning, Deep Q-learning, etc)
    • Strong background in data structures and algorithms
    • Exceptional coding abilities, architecture, debugging/diagnostics skills with experience working in a large rapidly evolving C++ production code base
    • Knowledge of object tracking, traffic, and behavioral modeling, machine learning and/or trajectory generation
    • Extensive experience designing and building modern planning systems

Bonus Points

    • Experience in applying ML for control or planning problems (e.g. Imitation Learning, Behavior Prediction, Reinforcement Learning)
    • Experience working independently in a large software setting
    • Prior experience in probabilistic filtering (Kalman filter, Particle filter), sensor fusion or SLAM
    • Solid technical foundation in CPU and GPU architectures, containers and numeric libraries

Benefits

    • Competitive salaries, generous equity, and benefits including 401K, medical, dental & vision
    • Regularly scheduled on and off-site team building activities
    • Free catered lunches, snacks, and drinks
    • Start-up environment where you’ll help shape the culture and have a huge impact
    • Work on innovative products and challenging problems with some amazingly talented (and fun) people
    • Be at ground zero of the AV revolution!