SENIOR COMPUTER VISION ENGINEER - ADAS / AD - LUND - SKANE - PERMANENT

Arion Recruitment Ltd; Lunds kommun; On-site; SEK 759,219 - 976,139; Full time

Job summary

Arion Recruitment Ltd is seeking a Senior Computer Vision Engineer in Lund, Sweden. The role involves leading the development of a perception stack for 3D sensor technology and optimizing algorithms for object detection and tracking in safety-critical applications. Candidates should have a master's or Ph.D. in Computer Science or related field, with at least 5 years of industry experience in computer vision, strong programming skills in Python and C++, and familiarity with relevant tools and technologies. Join us to shape the future of safety applications!

Qualifications

• Minimum of 5 years of industry experience developing computer vision algorithms.
• Experience in the design and implementation of data collection setups and pipelines.
• Solid understanding of fundamental computer vision concepts.

Responsibilities

• Design and implement data collection setups for gathering sensor data.
• Develop tools for efficient annotation of collected data.
• Collaborate with teams to integrate the perception stack into an end-to-end system.

Skills

Computer vision algorithms

Machine learning

Deep learning

Python

C++

OpenCV

TensorFlow

PyTorch

Education

Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field

Tools

Nvidia Jetson platforms

3D sensor technologies

Job description

Senior Computer Vision Engineer - Perception Stack Development

Take the next step in your career with a cutting‑edge technology company developing lifesaving systems. This organization creates software for advanced driver‑assist‑ance systems (ADAS) and pioneers the technology behind next‑generation autonomous vehicles.

Your Role

We are seeking a highly skilled and motivated Senior Computer Vision Engineer to lead the development of a perception stack for a unique 3D sensor technology, including event cameras. You will be responsible for designing, implementing, and optimizing algorithms for object detection, tracking, and related tasks, with a focus on safety applications and low‑latency requirements.

Your Responsibilities

• Design and implement data collection setups and procedures for gathering sensor data in real‑world environments, ensuring sufficient diversity and coverage for training and validation.
• Develop tools and workflows for efficient annotation of collected data, including labeling objects, trajectories, and other relevant information for training and evaluation.
• Design and implement robust perception stack components to ensure reliable performance in safety‑critical applications.
• Collaborate with multiple teams, including software and hardware engineers, to integrate the perception stack into an end‑to‑end system.
• Conduct performance analysis and optimization to meet stringent latency and accuracy requirements.
• Stay up to date with the latest advancements in computer vision, machine learning, and sensor technologies, applying them to enhance the perception stack.

Your Background

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, machine learning, deep learning, or robotics.
• Experience in the design and implementation of data collection setups and data pipelines.
• Minimum of 5 years of industry experience developing computer vision algorithms for real‑world applications, preferably in the automotive or robotics domain.
• Proficiency in programming languages such as Python and C++, with experience using libraries like OpenCV, TensorFlow, or PyTorch.
• Experience training, testing models on GPUs, and deploying on edge devices such as Nvidia Jetson platforms.
• Solid understanding of fundamental computer vision concepts, including feature extraction, object detection, tracking, and recognition.
• Experience with 3D sensor technologies (e.g., event cameras, LiDAR, depth cameras) and point cloud processing.
• Familiarity with software development best practices, including CI/CD, version control, unit testing, and code optimization.
• Excellent problem‑solving skills and the ability to work independently as well as collaboratively.
• Effective communication skills with the ability to present technical concepts to both technical and non‑technical stakeholders.

What You Need to Succeed

• Excellent analytical and problem‑solving skills with a responsible and independent working style.
• A strong desire to learn, document, and adapt.
• The ability to present facts and understand trends effectively.

Do you want to be part of shaping the future of safety applications with cutting‑edge computer vision technology? If you are passionate about building novel machine learning models and thrive in a dynamic, collaborative environment, we’d love to hear from you.