Senior Software Engineering - Machine Learning

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We are developing AI-native products that bring generative intelligence into the physical world. As a Software Engineer, you will set the technical direction for systems that blend cloud infrastructure, machine learning, and hardware interaction. This is a high-impact role for a technical leader who thrives on deep systems work and cross-disciplinary problem solving. You will work closely with engineers, ML researchers, product managers, and executives to define the architecture and foundational components that will support the next generation of intelligent, interactive systems. Drive technical decisions and trade-offs across multiple domains (infra, ML, product)

Collaborate across teams to align long-term platform and product direction

Set engineering standards for code quality, design, and operational excellence

Technologies We Use Languages: Python, Go, TypeScript

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain

Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform

DevOps & Observability: Basic Qualifications 6+ years of professional software development experience

Proficiency in at least one backend programming language (e.g., Python, Go, Java)

Strong understanding of systems architecture, observability, and deployment best practices

Preferred Qualifications Experience with ML model serving or AI product integration

Background in performance engineering or systems optimization

About the Team: We are an early-stage engineering team solving hard technical problems at the intersection of AI, systems, and real-world interaction. Software Engineers at our company are expected to lead by example, model engineering excellence, and shape both what we build and how we build it.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce: We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences.