Deep Learning Software Engineer (Level 4 Autonomous Driving Vehicle Startup)

We're recruiting a Deep Learning Software Engineer for a Silicon Valley-founded Autonomous Vehicle tech company that has a significant Toronto product development site. This opportunity is a unique chance to join an AV startup that is taking off. We have a strong partnership with our client having placed their Head of Software Engineering and Head of Hardware in Toronto. 

Highlights:

• Real opportunity to commercialize AV - they solve real problems and have real customers, contracts, and revenues with some of the biggest global enterprises. 

• Industry-leading team in robotics and AI that have worked successfully together in a distributed team model.

• Become one of the key Toronto-based leaders & help establish the company as a leader in the Toronto AV community.

• Collaborate with leading research teams @ U of Waterloo and U of Toronto.

Responsibilities

• Develop tools to generate and manage big training datasets for different Deep Learning models

• Develop scalable training and evaluation tools and infrastructure

• Analyze point cloud and radar raw sensor data and apply machine learning technologies

• Design, build and maintain large-scale production machine/deep learning pipelines

Qualifications

• Master’s or Ph.D. degree in Machine Learning, CS or related field

• Skilled software developer with experience in C/C++, Python and/or CUDA

• Worked with one or more neural network frameworks, such as Tensorflow, Caffe & Torch

• Strong quantitative background

• Experience with sensor data processing, environment modeling, large-scale point-cloud processing, or machine learning

• Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN, GAN, etc.)

• Self-starter; the ability to own projects with little oversight

Bonus Points

• Track record of building and shipping machine learning features in products

• 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 distributed computing

Apply today or contact Brandon Shim-Ping, Director of Talent, at brandon AT grossmandorland DOT com to learn more.

About gdR