Remote Principal Software Architect – AI Systems & Scale

Siemens Mobility; Costa Mesa (CA); On-site; USD 165,000 - 283,000; Full time

Benefits offered by this job

Health and wellness benefits

Job summary

Siemens is seeking a Principal Engineer to set the technical direction for AI-native, cloud, ML, and hardware-integrated systems. You will define architecture for robust, scalable platforms and mentor engineers across multiple teams.

This remote role requires deep systems work and cross-disciplinary problem solving with product and research priorities in mind. You will influence the roadmap and guide decisions at the executive level while collaborating with ML researchers, product managers, and

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

10+ years exp

Distributed systems

Cross-team leadership

Backend languages

System design

Tools

Python

Go

TypeScript

Job description

Siemens is seeking a Principal Engineer to set the technical direction for AI-native, cloud, ML, and hardware-integrated systems. You will define architecture for robust, scalable platforms and mentor engineers across multiple teams.

This remote role requires deep systems work and cross-disciplinary problem solving with product and research priorities in mind. You will influence the roadmap and guide decisions at the executive level while collaborating with ML researchers, product managers, and