AI Systems Architect & Principal Engineer

Siemens; Santa Clara (CA); On-site; USD 165,220 - 283,234; Full time

Job summary

Siemens in Santa Clara, CA is seeking a Principal Engineer to set the technical direction for systems that blend cloud infrastructure, machine learning, and hardware interaction. You will define architecture that is robust, scalable, and adaptable to rapid research and product iteration.

This high‑impact leadership role requires coordinating with engineers, ML researchers, product managers, and executives to shape the next generation of intelligent, interactive systems.

Qualifications

• 10+ years of professional software development experience
• Experience designing and scaling distributed systems and real‑time applications
• Proven ability to lead technical strategy and cross‑team architecture efforts
• Proficiency in at least one backend systems language (e.g., Python, Go, Java)
• Strong understanding of system design, performance optimization, and fault‑tolerance
• Experience bridging machine learning research and production environments
• Background in building systems that operate in or interact with the physical world
• Ability to influence engineering orgs and contribute to hiring and culture
• Track record of mentoring senior and staff‑level engineers

Responsibilities

• Define and evolve the technical architecture across core systems and products
• Provide hands‑on technical leadership on strategic projects
• Lead technical reviews and mentor engineers across all levels
• Align engineering direction with product and ML research priorities
• Identify and address scaling challenges before they become bottlenecks
• Champion engineering excellence, reliability, and system sustainability

Job description

Siemens in Santa Clara, CA is seeking a Principal Engineer to set the technical direction for systems that blend cloud infrastructure, machine learning, and hardware interaction. You will define architecture that is robust, scalable, and adaptable to rapid research and product iteration.

This high‑impact leadership role requires coordinating with engineers, ML researchers, product managers, and executives to shape the next generation of intelligent, interactive systems.