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Siemens is seeking a senior engineer to define and evolve the technical architecture for AI-native products blending cloud infrastructure, ML, and hardware interaction. You will provide hands-on leadership and mentorship to engineering teams while aligning technical direction with product and research priorities.
The role requires a track record in scalable distributed systems and expertise in Python/Go, with a strong bridge between ML research and production environments.
Define and evolve the technical architecture for AI-native products blending cloud infrastructure, machine learning, and hardware interaction. Provide hands‑on leadership and mentorship to engineering teams while aligning technical direction with product and research priorities.
Requires over 10 years of professional software development experience with a proven track record in designing scalable distributed systems. Proficiency in backend languages like Python or Go and experience bridging ML research with production environments is highly desired.
Distributed Systems, System Design, Technical Leadership, Machine Learning Production, Performance Optimization, Fault‑Tolerance, Python, Go, TypeScript, AWS, Kubernetes, PyTorch, Terraform, Architecture Design, Mentoring, Cross‑functional Collaboration