Company Overview
Founded in 2020 and headquartered in Munich, Snke is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics. We specialize in large platforms, digital health, and software-driven medical technology. Our trusted orchestration layer empowers healthcare providers and partners to deploy cutting-edge solutions for safe and efficient interventions, enhancing patient outcomes. We operate globally with core teams in Chicago, Heidelberg, San Diego, and Tel Aviv, fostering collaboration to create smart, enabling, and holistic healthcare technologies.
Job Description
The substantial amount of data generated in today's high-tech operating rooms offers significant opportunities for surgical process improvements. This includes accelerating documentation tasks, supporting clinical education, and providing a basis for intelligent automation and smart assistance tools to improve surgical procedures in terms of safety, quality, and cost. The role involves working in the emerging field of Surgical Workflow Analysis by combining video with other sensor data in the operating room. You will work with a team of experienced software developers and machine learning engineers to create applications and services on the Snke platform that extract valuable data points to improve surgeries. Responsibilities include participating in all software development life cycle phases, enhancing existing frameworks with clean and efficient code, collaborating with cross-functional teams, contributing creatively and independently, and sharing expertise on technical concepts.
Qualifications
- Degree in Computer Science or related discipline
- 3+ years of professional experience in developing complex software systems using high-level object-oriented or multi-paradigm programming languages such as modern C++, C#, Golang, or Rust
- Knowledge of additional languages like Python, TypeScript, and web development (HTML5) is a plus
- Basics of modern web technologies including HTTP, REST, JSON, and gRPC
- Experience with containerization and orchestration of services and micro-services is beneficial
- Experience with AWS and deploying (micro)services is a plus
- Understanding of modern machine learning and deep learning concepts, especially related to image and video analysis, is advantageous
- Strong problem-solving skills with the ability to analyze complex issues and provide effective solutions
- Enthusiasm for working on varied topics and technical challenges, with a passion for experimentation and learning
- Well-organized, self-initiated, agile, and structured working style
- Excellent communication skills in English
Additional Information
- Mutually supportive, international team
- Career experience opportunities in an exciting international medical technology company based in Munich
- Flexible working hours
- Secure bicycle storage room
- Subsidized catering service
- Subsidized Gold Gym membership
- Modern, centrally located workspaces with a 212m² roof terrace
The position can be full-time or part-time (minimum 80%, approx. 32 hours per week). Applicants should indicate preferred working hours and salary expectations based on a full-time position in their application. Contact person: Elisabeth Karro.