Director of Engineering

NuPort Robotics Inc.; Toronto; On-site; CAD 180,000 - 260,000; Full time

Benefits offered by this job

Stock option ownership

Job summary

NuPort Robotics Inc. seeks a Director of Engineering to develop and execute technical roadmaps. You will lead Roboticists and ML Engineers to advance autonomous driving tech for trucks and define the company’s engineering and software architecture.

Based in the Greater Toronto Area preferred, with short-term remote work considered. Travel to partners and customers worldwide is required. This is a full-time role with potential for part-time or contract arrangements.

Qualifications

• PhD in Computer Science, Electrical/Mechanical Engineering or related field with 7+ years in robotics/auto tech.
• Strong C++, Python and ROS skills; solid Ubuntu experience; git proficiency.
• 3+ years in autonomous driving senior roles; product-centric R&D or startup leadership.
• 3+ years in full-stack dev for autonomous vehicles and managing 5+ person teams.
• Excellent knowledge of CV, DL, localization, mapping, motion planning and safety.

Responsibilities

• Manage timely execution of technical projects, set architecture and priorities.
• Partner with product managers to road-map engineering platforms and tech.
• Apply DevOps to deliver software products seamlessly.
• Lead engineers across perception, planning, sensors; set APIs with platform teams.
• Oversee cloud and data infrastructure (GCP, Kubernetes, Hadoop).
• Assess security and privacy risks with R&D teams; guide tech adoption.

Skills

C++

Python

ROS

Ubuntu

Git

DevOps

CI/CD

Linux scripts

Team leadership

Machine Learning

Localization & mapping

Sensors & perception

Functional safety

Big data

Public speaking

Education

PhD in CS/EE/ME or technical field

Tools

Git

Kubernetes

GCP

Hadoop

Linux

Job description

As NuPort’s Director of Engineering, you will be accountable to the CEO / CTO for developing and executing technical roadmaps. You will lead an engineering team of Roboticists and Machine Learning Engineers to deliver an industry leading autonomous driving tech for the transportation market. Overall, you will define the Company’s Engineering and Software Architecture foreseeing the long-term path. It is preferred that the position be based in the Greater Toronto Area, however remote positions will also be considered for a short duration. The position will involve travel to partner and customer locations globally. This is preferably a full time role, part-time and contract positions also applicable.

Preferred experience:

• PhD in Computer Science, Electrical engineering, Mechanical Engineering or other technical field with 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
  • 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.
• 3+ years of Full-stack development experience for autonomous vehicles.
• Experience scaling and managing 5+ person teams.
• Good understanding of current state of the art algorithms driving the automotive industry with respect to sensors, Computer vision and Deep Learning.
• Good understanding of topics, algorithms related to localization, mapping, motion planning, controls, perception, functional safety, big data management, etc.
• Understanding of the hardware tech-stack for autonomous vehicles.
• Demonstrated experience in DevOps, CI/CD, and bash scripts on Linux at an industrial level.
• Strong Understanding of functional safety components. Experience with ISO26262, Autosar, etc.
• Some Experience in Logistics, Transportation Management, Fleet Management and/or related industry.
• Experience in writing technical proposals including Govt. and Industry proposals, writing patents, industrial whitepapers, etc.
• Strong presentation, demo and communication skills.
• Experience of working in a fast-paced environment.

Functional 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.). For instance setting up of new API’s working with platform engineering teams, enforcing good software engineering and data analytics standards, etc.
• Integration of the various functionalities shipped by the R&D team.
• Responsible for cloud and data infrastructure insights to ensure integration and productivity of resources using GCP, Kubernetes, Hadoop or similar technology.
• Providing direction and guidance in assessing and evaluating security and privacy risks, including examining the impact of new technologies shipped by various technical and R&D teams

Functional Responsibilities:

This position reports to the CEO / CTO.

Why NuPort Robotics?

At NuPort, we are leading the development of self driving technology for trucks, the first of its kind in Canada. We offer an opportunity to work on the business development of exciting technology that improves the quality of life and safety for commercial vehicles. We have a mission to automate global supply chains using self-driving trucks increasing sustainability through the adoption of clean transportation solutions. Our growing team has a can-do and will-do attitude, to build technology that can transform human lives. We have a dynamic and collaborative environment encouraging strong collaboration within the team. If this is something that makes you want to be a part of the next generation of autonomous vehicles, please reach out to us, we would be happy to discuss this further.

Compensation:

Competitive base salary plus stock option ownership in the company.