NuPort Robotics provides autonomous trucking solutions, including hardware and software to convert existing fleets into self-driving vehicles. Their Fleet Assist application streamlines fleet management with features like dispatching, route optimization, and real-time insights into vehicle status, driver performance, fuel efficiency, and maintenance schedules. They focus on improving efficiency, safety, and sustainability in transportation.
Minimum Qualifications :
- PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or other technical field
- 7+ years of industry experience in computer vision, sensors, robotics, or hardware for the automotive market
- Strong C++, Python, and ROS skills
- Strong experience with Ubuntu
- Knowledge of Git is required
- At least 3 years of experience in autonomous driving vehicles at a senior position in one or more of the following :
- Working at an OEM or Tier-1 or autonomous driving company in a product-centric R&D position
- Working in tech startups in senior management
Responsibilities :
- Managing timely execution of technical development projects, including architecture recommendations and prioritization
- Closely working with product managers and architects to set up technical roadmaps and being at the forefront of technology, engineering, and platform
- Leveraging DevOps principles to create a seamless solution for software product delivery
- Leading by example for a team of engineers in different domains (perception, motion planning, sensors, etc.)
Additional Qualifications :
- Masters / PhD in Computer Science, Robotics, or related field OR relevant autonomous driving / robotics experience
- Experience with autonomous systems in one or more of the following areas : planning under uncertainty, decision-making, tracking and prediction, vehicle control systems, perception, localization, estimation, and machine learning
- Experience developing, working with, modifying, and creating advanced algorithms
- Extensive experience working with autonomous driving systems
Additional Responsibilities :
- Field testing of algorithms in an autonomous vehicle (involves driving, trusting your own software while being driven in the vehicle, etc.)
- Developing motion planning algorithms in simulation
- Deployment and testing of motion planning / controls algorithms on an autonomous vehicle
- Data collection using the sensors and building the data infrastructure for storing the maps
- Developing and / or using existing mapping algorithms
- Building simulated environments from existing datasets and preparing a test bed for testing perception and motion planning algorithms
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