Applied R&D Software Engineer for Future Technologies (m/f/d)

SA Cosmos; Lübeck; On-site; EUR 65,134 - 83,165; Full time

Benefits offered by this job

Collective agreement of the chemical industry

30 days of holiday

Holiday pay

13th salary

Mobile work

Flexible working hours

Company pension plan

Kindergarten subsidy

Corporate benefits

Corporate fitness network Wellpass

Job summary

SA Cosmos in Lübeck is seeking an Applied R&D Software Engineer for Future Technologies. This role focuses on developing scalable data and software platforms for digital manufacturing, enhancing machine control and machine learning integration.

Qualified candidates will have a degree in Computer Science and 4+ years of backend development experience, exhibiting strong programming skills in Python or C#/.NET. The position offers a dynamic workplace with various benefits including a flexible working environment.

Qualifications

• 4+ years of backend development experience.
• Fluency in English required.
• Experience with microservice architectures.
• Familiarity with ML frameworks like scikit-learn or PyTorch.

Responsibilities

• Build and maintain data infrastructure for machine parks.
• Develop secure data pipelines for predictive maintenance.
• Bridge between hardware, PLC, and data science teams.
• Monitor system performance and reliability.

Skills

Backend development

Programming in Python

Experience with C#/.NET

Database knowledge

Machine Learning fundamentals

Collaborative skill

Problem-solving skills

Team-oriented

Education

Degree in Computer Science or related field

Tools

REST APIs

Azure cloud infrastructure

Job description

Applied R&D Software Engineer for Future Technologies (m/f/d)

Annual salary: 65,134 - 83,165 EUR

Benefits

• Collective agreement of the chemical industry
• 37,5 hours/week
• 30 days of holiday
• Holiday pay
• 13th salary
• Mobile work
• Flexible working hours
• Company pension plan
• Kindergarten subsidy
• Jobrad
• Corporate benefits
• Corporate fitness network Wellpass

Position Description

In this role, you will contribute to the digitalization of SLM machines and connected machine parks by developing scalable data and software platforms for industrial manufacturing environments. You will work at the intersection of machine control, industrial data infrastructure, and applied machine learning to enable predictive maintenance, automated production workflows, and advanced monitoring solutions.

Responsibilities

• Help our team build and maintain data infrastructure for machine parks (edge and cloud)
• Develop secure, scalable data pipelines for predictive maintenance and real‑time analytics
• Serve as a bridge between hardware, PLC, and data science teams to optimize data flow and device integration
• Extend machine control software to integrate new sensors/actuators and embed ML algorithms
• Implement data ingestion, storage, and processing across edge and cloud environments
• Monitor system performance, reliability, and edge‑to‑cloud communications

Qualifications and Requirements

• Degree in Computer Science or a related field
• 4+ years of backend development experience
• Fluency in English
• Strong programming skills in Python or C#/.NET
• Experience with microservice architectures and REST APIs
• Knowledge of databases and storage systems, including SQL, time‑series/event stores, and object storage
• ML fundamentals: anomaly/condition diagnostics, time‑series analysis, basic CV; familiarity with ML frameworks (scikit‑learn, PyTorch) and MLOps tooling
• Strong analytical and problem‑solving skills with a pragmatic, hands‑on mindset
• Collaborative, open‑minded, and communicative; comfortable working in interdisciplinary teams
• Team‑oriented with strong communication skills; passion for innovation and future technologies

Nice to Have

• Experience with cloud infrastructure platforms, preferably Azure
• Familiarity with industrial device communication protocols
• Experience building machine‑learning pipelines and real‑time data processing systems
• Knowledge of edge device integration
• Experience with LPBF/additive manufacturing or in‑situ monitoring systems

Workplace Culture

We offer you a versatile and responsible scope of duties in a global business. You can expect colleagues on an equal footing, flat hierarchies, a strong team spirit and a "can do" working atmosphere. We like to describe ourselves as a company with a start‑up atmosphere, because with us you get the best of both worlds: a dynamic, future‑oriented work environment with the advantages of a corporation. We are a company of diversity, tolerance, and openness. That is why we want people of all ages and disabilities, religions, sexual orientations and identities, ethnic origins, nationalities, and genders to find their employer in us.

About Nikon SLM Solutions AG

Nikon SLM Solutions AG is one of the world's leading companies in additive manufacturing. Our Selective Laser Melting machines enable the fast, reliable and cost‑effective production of high‑quality metal components. With more than 700 employees from over 35 nations, we are revolutionizing additive manufacturing and are a partner at eye level for our renowned customers, e.g. from the aerospace industry, the energy sector, healthcare or the automotive sector. Nikon SLM Solutions AG is headquartered in Lübeck, Germany, with offices in France, India, Italy, Singapore, South Korea, Canada and the United States.

We are an equal opportunity employer and encourage people of all backgrounds to apply. We do not discriminate against any applicant based on age, gender, creed or any other protected characteristic.