Principal AI Systems Engineer (Remote)

Siemens; United States; Remote; USD 167,000 - 226,000; Full time

Job summary

Siemens is advancing AI-native products that blend cloud infrastructure, machine learning, and hardware. As a Principal Engineer, you will define architecture, lead cross-functional teams, and guide technical direction for scalable, robust systems.

This remote role focuses on engineering excellence, reliability, and collaboration with 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.

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.

Skills

Technical leadership

Distributed systems

System design

Backend programming

Performance optimization

Education

Bachelor's in CS or related field

MS preferred

Tools

AWS

Kubernetes

Redis

Postgres

Terraform

Job description

Siemens is advancing AI-native products that blend cloud infrastructure, machine learning, and hardware. As a Principal Engineer, you will define architecture, lead cross-functional teams, and guide technical direction for scalable, robust systems.

This remote role focuses on engineering excellence, reliability, and collaboration with ML researchers, product managers, and executives to shape the next generation of intelligent, interactive systems.