Associate Software Engineer – Computer Vision & AI – Kristiansand, Norway | Visa + Salary Insights

📍 Location: eu

🏷 Type: Full-time

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Job Overview

This role at :contentReference[oaicite:0]{index=0} is an Entry-Level (0–2 years) opportunity for engineers passionate about Computer Vision, Artificial Intelligence, and industrial software systems. Based in :contentReference[oaicite:1]{index=1}, the position sits within the Vision Technology team under Digital Products & Automation. Candidates will work on advanced perception systems used in robotics, automation, and safety-critical industrial environments. The role blends applied machine learning with real-world engineering, focusing on transforming vision algorithms into production-ready sensor solutions running on GPU-enabled Linux systems.

📅 Job Timeline & Status

This role is in an early hiring cycle, meaning applications are still actively being reviewed and shortlisted. Given the recent posting date and strong industry demand for computer vision engineers, candidates should apply immediately. The combination of robotics, AI, and industrial automation significantly increases global competition, especially among graduates and early-career engineers.

MANDATORY: Computer Vision focus, AI engineering domain, Entry-Level specialization

🌍 Work Eligibility & Location

The role is strictly Onsite due to hardware integration with robotics and vision sensor systems. While visa support is not explicitly stated, Norway typically supports skilled technical hiring when candidates demonstrate strong AI and software engineering capabilities. International applicants with relevant experience in computer vision and robotics may still be competitive.

💰 Salary Intelligence

Compensation is aligned with Norwegian early-career software engineering standards. The estimated range of NOK 550,000 – 750,000 reflects additional value due to specialization in Computer Vision and industrial AI systems. Engineers working in robotics-adjacent environments typically receive higher compensation due to the complexity of deployment and safety-critical constraints.

📊 Role Breakdown

This position focuses heavily on building production-grade perception systems. Around 35% of work involves C++ software development, including system architecture, debugging, and integration with vision pipelines. Approximately 25% is dedicated to Computer Vision, including object detection, image processing, and scene understanding algorithms. Another 20% focuses on Machine Learning tasks such as training, evaluating, and optimizing AI models for real-world performance under industrial constraints.

The remaining 20% includes deployment, testing, and collaboration across robotics and automation teams. Engineers will work with Linux environments, Docker containers, and GPU-accelerated systems to deploy models in real-time environments. This role requires translating research-level AI concepts into stable industrial software capable of operating in safety-critical conditions.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

Despite its entry-level classification, the technical depth makes this a selective position. Candidates with hands-on projects in Computer Vision, C++, and Machine Learning will have a significant advantage. The Moderately Competitive level reflects strong international demand for AI engineers in robotics and industrial automation sectors.

🚀 Career Impact

This role provides strong long-term career acceleration in Artificial Intelligence, Computer Vision, and Autonomous Systems. Experience gained in industrial-grade perception systems significantly enhances progression into senior engineering roles, robotics architecture, or applied machine learning leadership positions.

📋 Key Responsibilities

Engineers will develop and maintain vision-based sensor systems using C++ and Python. Responsibilities include training AI models, improving computer vision algorithms, and implementing object detection and scene understanding pipelines. The role requires deploying software into Linux-based GPU systems, performing real-world testing, and optimizing system performance under industrial constraints. Candidates will also collaborate with robotics and automation teams to integrate perception systems into larger industrial platforms. Documentation, debugging, and continuous improvement are essential, alongside participation in full-cycle product delivery from prototyping to deployment.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role shows strong hiring momentum, with high application urgency due to recent posting and growing demand for AI engineers. Expect high competition from global applicants in robotics and computer vision domains. Response cycles are likely within weeks, with early applicants receiving faster consideration. Since no fixed deadline is published, Applications may close without notice.

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✅ Job Source & Verification

This listing is derived from the official NOV careers portal and verified against the original job posting information. The source is considered highly credible due to direct employer publication. Information was last updated June 14, 2026, ensuring freshness and alignment with current hiring status.