Senior Applications Engineer - Onsite Autonomy Deploy

Blackshark

Oslo

On-site

NOK 900,000 - 1,300,000

Full time

14 days+
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Job summary

Shield AI is seeking an Applications Engineer to deploy Hivemind software with customers worldwide. This senior role is travel-intensive and on-site, often for multi-week engagements. You will understand requirements, provide technical expertise during deployment, and integrate AI and autonomy products.

Ideal candidates have a solid software foundation, C++ and Python experience, and a hands-on mindset. Collaboration with engineering and potential for leadership over time.

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, or a related field.
  • 5+ years of industry experience in applications engineering or similar.
  • 2+ years in an integration/applications engineering role.
  • 2+ years in a startup environment.
  • Strong software engineering fundamentals and C++ proficiency.
  • Proficiency in Python and good problem-solving skills.
  • Excellent communication and interpersonal abilities.

Responsibilities

  • Deploy with customers on-site to support integration of Shield AI software.
  • Become expert in the Hivemind enterprise software stack.
  • Provide technical support and training to customers.
  • Develop AI & Autonomy applications using the SDK.
  • Assist sales with pre-sales activities and demos.
  • Assist post-sales deployment and product feedback collaboration.
  • Create and maintain technical documentation and training materials.
  • Help customers debug software/API integration issues.

Skills

C++
Python
Software Eng
Communication
Problem Solving
Travel Ready
Customer-facing

Education

Bachelor’s degree in Engineering/CS

Job description

Shield AI is seeking an Applications Engineer to deploy Hivemind software with customers worldwide. This senior role is travel-intensive and on-site, often for multi-week engagements. You will understand requirements, provide technical expertise during deployment, and integrate AI and autonomy products.

Ideal candidates have a solid software foundation, C++ and Python experience, and a hands-on mindset. Collaboration with engineering and potential for leadership over time.

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