Working Student Computer Vision Engineer at Isarsoft

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

27 Sep, 26

Salary

0.0

Posted On

29 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Pandas, NumPy, PyTorch, OpenCV, Linux, Git, AI Coding Assistants, Computer Vision, Machine Learning, C++, Docker, ONNX, TensorRT, VLMs, LLMs

Industry

Software Development

Description

We are Isarsoft We make every camera count At Isarsoft we develop video analytics software to make transportation and cities more efficient, inclusive and secure. We stand for data protection and responsible processing of sensitive data. Being on the forefront of innovation we work together in interdisciplinary teams in a positive, fun and energetic atmosphere. Our customers and partners are at the center of everything we do. Founded in 2019 we have grown organically winning large customers and partners delivering compelling, reliable, high-performance software. We are proud of being a privately held company focusing on long-term relations to our customers and team members. Your mission As Working Student Software Engineer at Isarsoft you will be at the heart of the research and development. You will be closely working together with our international team including Isarsoft's CTO and Co-Founder. Your responsibilities include researching and developing algorithms for camera calibration, synchronization, and real-time video analytics. Your profile Strong Python Skills: You are highly proficient in Python and feel completely comfortable manipulating and analyzing data with libraries like Pandas and NumPy. CV/ML Experience: You have a solid foundational knowledge and hands-on experience in Computer Vision and/or Machine Learning, specifically with PyTorch and OpenCV. (Strong academic experience, such as relevant university lectures, thesis work, or student projects, is absolutely welcome!) Development Fundamentals: You know your way around Linux environments and are comfortable using Git for version control. Modern Coding Practices: You are comfortable and efficient using AI coding assistants (like GitHub Copilot) to optimize your daily work. Passionate about working with talented, motivated professionals Fluent in English Location: You must be currently based in or willing to relocate to the Munich area, as this role requires regular on-site collaboration. Additional assets Familiarity or first touchpoints with VLMs (Vision-Language Models) or LLMs (Large Language Models). Basic knowledge of C++ (e.g., for reading or maintaining existing codebase). Basic understanding of Docker and containerized workflows. Exposure to deployment and optimization tools like ONNX or TensorRT. Benefits An experienced, highly motivated and international team to learn and grow A high-impact work environment with flat hierarchies and short decision-making processes Have the flexibility to work from anywhere: A great office in Garching nearby Munich, from home or the English-Garden Free lunch, coffee and drinks at our office Sounds good? We are just getting started. Let's build a great company together. Hiring Process We are committed to a transparent and fair hiring process. We aim for concluding the interview process in no longer than 3 weeks. There are two stages for a Working Student position at Isarsoft. Video Interview with HR Technical Deep Dive We deeply believe that a great product only can be build by a great team. That's why sharing our values, being a team-player and having a energetic attitude is as important as bringing the right technical skills. About us Learn more about Isarsoft www.isarsoft.com Follow us on social media LinkedIn | YouTube | Twitter Fun fact: Isar is the river flowing through the heart of Munich contributing to making it one of the most liveable cities in the world. Isarsoft Perception provides people-, and traffic flow analytics to enhance mobility, safety and live in cities across the globe. Let's make every camera count!

Responsibilities

Research and develop algorithms for camera calibration, synchronization, and real-time video analytics. Collaborate closely with an international team and the CTO to build video analytics software for urban efficiency.