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Autonomous Vehicles for B2B Short-Haul Logistics

Senior Research Engineer, Planning and Decision Making

$130k – $190k AngelList Est.
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At Gatik we’re developing Level 4 automated light trucks and vans for business to business (B2B) short-haul logistics. Our autonomous vehicles reduce the high cost of urban logistics, while improving safety, increasing efficiency, reducing congestion and emissions, and allowing businesses to best serve the community.

Led by a team of AV researchers and engineers from Carnegie Mellon Robotics Institute, we are building new concepts and groundbreaking solutions for autonomous vehicles to ensure goods are transported between business locations both efficiently and affordably in city environments. With offices in Palo Alto and Toronto, we are dedicated to building commercial applications of AVs and aim to power the next generation of self-driving commercial fleets for urban logistics.

We're looking for high-energy, creative and collaborative candidates that would like to be involved in all aspects of growing a fast-paced, execution-oriented team. If you’re 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!

Healthcare benefits

Medical, dental, and vision

Equity benefits

Competitive salaries and generous equity

Company meals

Free catered lunches, snacks, and drinks

Company events

Regularly scheduled on and off-site team building activities

Startup environment

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

Gatik at a glance

Autonomous Vehicles for B2B Short-Haul Logistics

Gatik focuses on Automotive, Robotics, Machine Learning, Artificial Intelligence, and Hybrid Vehicles. Their company has offices in Palo Alto, Toronto, and Bentonville. They have a small team that's between 11-50 employees. To date, Gatik has raised $4.5M of funding; their latest round was closed on June 2019.

You can view their website at http://www.gatik.ai/ or find them on Twitter, Facebook, and LinkedIn.

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