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Full-Time

AV Specialist

Confirmed live in the last 24 hours

ISEE

ISEE

51-200 employees

Autonomous yard truck solutions provider

Robotics & Automation
Automotive & Transportation
Consulting
Hardware
Industrial & Manufacturing
AI & Machine Learning

Mid

Dallas, TX, USA

Category
Robotics and Automation Engineering
Mechanical Engineering
Required Skills
Communications
Git
JIRA
Requirements
  • Bachelors Degree
  • Prior work experience in Systems/Vehicle/Test Engineering
  • Passionate about software, automation and automobiles
  • Excellent documentation and communication skills
  • Experience with Linux, Jira, and git
  • Technical acumen and familiarity with Linux, Google Suite, Jira, Slack and Git is preferred
  • Ability to travel up to 3 months at a time, including international travel
  • Able to operate and get trained to drive a yard truck
  • Bachelors in Mechanical/Computer/Electrical/Systems Engineering, or equivalent
  • Familiar with C++
  • Automotive/AV experience is a plus
Responsibilities
  • Develop and conduct test requirements working with software, systems and test engineering teams
  • Perform troubleshooting and deploy corrective actions and debug on offline and online vehicle level software and hardware
  • Collect necessary data used for perception engineering team and mapping team
  • Effectively communicate test results and issues to technical leads and peers in Engineering
  • Communicate site-specific issues and learnings to the team lead and the engineering team
  • Understand and prioritize test exceptions to deliver a product that meets customers' business and technical expectations

ISEE specializes in autonomous yard truck solutions, utilizing a flexible AI platform and robust engineering capabilities to create a fully-autonomous driving system that anticipates unexpected behavior in dynamic and unpredictable situations, streamlining yard operations and improving safety for leading companies in the global supply chain market. Their technology combines a flexible AI platform with robust engineering capabilities to create a more intelligent autonomous driving system, designed to interact with people and equipment in complex and unpredictable environments.

Company Stage

Series B

Total Funding

$67.9M

Headquarters

Cambridge, Massachusetts

Founded

2017

Growth & Insights
Headcount

6 month growth

-18%

1 year growth

-40%

2 year growth

-29%