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 University, 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 who would like to work in a growing fast-paced, execution-oriented team. If you’re curious and passionate about Level 4 autonomous driving, we’d like to meet you!
Create advanced perception systems that accurately perceive a self-driving vehicle’s environment using imaging and 3D sensors
Develop, test, debug, and maintain reliable, safe, production-quality code
Design and implement all key components of the perception system such as object detection, object tracking, and multi-sensor fusion
Create optimized pipelines for data pre-processing, model training, data post-processing, inferencing etc.
Train perception models, evaluate their performance, investigate and fix performance bottlenecks
Develop scalable training and evaluation tools and infrastructure
Master’s or Ph.D. degree in CS, EE or related field, or at least 6 years of software development experience.
Expert knowledge of modern C++ (C++11 or later)
Expert knowledge of Python (2.7 or 3.x)
Worked with one or more neural network frameworks, such as TensorFlow or PyTorch
Strong background in deep learning and computer vision
Experience with sensor data processing, environment modeling, large-scale point-cloud processing, or machine learning
Proven track record of building and shipping machine learning features in products
Self-starter; the ability to own projects with little oversight
Experience building and shipping software frameworks or tools that are used by others than the authors of the framework
Experience in software design for safety-critical systems
Experience with sensor modalities used in robotics and automated driving applications (Camera/Vision, Radar, LiDAR, INS/IMU)
Demonstrated academic or industry experience in developing novel deep learning models
Deep understanding of GPU architecture
Experience with CUDA
Experience with distributed computing
Competitive salaries, generous equity, and benefits including 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!