Application Engineer - Postsales

Vehicle intelligence company that accelerates global adoption of safe, AI-driven machines, delivering ADAS/AD toolchain and autonomy solutions.
Stockholm, SwedenMountain View, CA, USA
Backend
Mid-Level Software Engineer
In-Person
501 - 1,000 Employees
3+ years of experience
AI · Automotive

Description For Application Engineer - Postsales

Applied Intuition is a leading vehicle intelligence company that partners with 18 of the top 20 global automakers to accelerate the development of safe, AI-driven machines. As an Application Engineer - Postsales, you'll be the crucial bridge between customers and engineering teams, working from their Stockholm office. The role combines technical expertise with customer success, requiring proficiency in Python, C++, and Linux while managing customer support, bug reports, and feature requests. You'll work in an environment that values in-office collaboration (5 days/week) while offering some flexibility for work-life balance. The position offers exposure to cutting-edge autonomy technology and the opportunity to work with major industry players globally. The role is particularly exciting for those interested in automotive technology, autonomous vehicles, and customer-facing technical problem-solving. Applied Intuition maintains offices worldwide, including Mountain View, San Diego, Detroit, Stuttgart, Munich, Stockholm, Seoul, and Tokyo, providing a truly global perspective on autonomous vehicle development.

Last updated 4 days ago

Responsibilities For Application Engineer - Postsales

  • Run office hours and first line support for customers
  • Manage requests from customer teams to ensure maximum value from Applied's products
  • Lead workstreams to support groups of users in customer engagements
  • Handle office hours, Level 1 support, bug reports, and feature requests
  • TPM customer issues

Requirements For Application Engineer - Postsales

Python
Linux
  • Experience in interacting with end-customers as an application engineer or developer
  • Acute attention to detail and execution focused mindset
  • Strong communication skills and focus on solving customer problems
  • Proficiency in debugging and working with Python/C++/Linux
  • Experience in QA and desire to grow customer facing and engineering skills

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