NuPort Robotics

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About
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.
Platform
Task
Features
• route optimization
• maintenance schedule management
• fuel efficiency tracking
• driver performance analysis
• real-time vehicle status monitoring
• fleet assist application for fleet management
• customized sensors for truck automation
• autonomous trucking hardware and software
Job Opportunities
Director of Engineering
NuPort Robotics provides autonomous trucking solutions and fleet management software for safer, more efficient, and sustainable transportation.
Benefits:
stock option ownership
Education Requirements:
PhD in Computer Science, Electrical engineering, Mechanical Engineering or other technical field
Experience Requirements:
7+ years of Industry Experience in a computer vision / Sensors / Robotics / 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 o Working at an OEM or Tier-1 or Autonomous driving company in a product-centric R&D position. o Working in tech startups in senior management.
Responsibilities:
Maintain “engineering first” mindset.
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.). For instance setting up of new API’s working with platform engineering teams, enforcing good software engineering and data analytics standards, etc.
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Motion Planning Research Engineer
NuPort Robotics provides autonomous trucking solutions and fleet management software for safer, more efficient, and sustainable transportation.
Education Requirements:
Masters / PhD in Computer Science, Robotics or related field OR relevant autonomous driving/robotics experience.
Experience Requirements:
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.
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.
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Senior Mapping Engineer
NuPort Robotics provides autonomous trucking solutions and fleet management software for safer, more efficient, and sustainable transportation.
Education Requirements:
Masters / PhD in Computer Science, Robotics or related field OR relevant autonomous driving / robotics experience.
Experience Requirements:
Experience working with various sensor modalities 3D / 2D Lidars, Radars, Cameras, GPS, IMU, etc.
Experience working with simulations in the context of autonomous driving / robotics.
Experience developing, working with, modifying, and creating advanced algorithms.
Extensive experience working with autonomous driving systems.
Responsibilities:
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 prepare a test bed for testing perception and motion planning algorithms.
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