Senior AI Systems & Platform Engineering Lead

Siemens AG; Bellevue (WA); On-site; USD 195,000 - 334,000; Full time

Job summary

Siemens AG is seeking a Senior Manager, Software Development to guide the architecture of complex, high-scale systems at the intersection of cloud, ML, and hardware. You will shape robust, scalable systems and lead cross-disciplinary teams including engineers, ML researchers, product managers, and executives.

You will influence multiple engineering teams, drive technical decisions, and ensure reliability and sustainability across core platforms as the company advances AI-native products for

Qualifications

• 10+ years of professional software development experience.
• Experience designing and scaling distributed systems and real-time applications.
• Demonstrated ability to lead cross-functional technical initiative.
• Proficiency in at least one backend systems language (e.g., Python, Go, Java).
• Strong understanding of system design, performance optimization, and fault-tolerance.

Responsibilities

• Lead architecture and development of complex, high-scale systems.
• Define and evolve the technical architecture across core systems and products.
• Provide hands-on technical leadership on strategic projects.
• Drive technical decisions and trade-offs across multiple domains (infra, ML, product).
• 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

Distributed systems design

Real-time applications

Cross-functional leadership

Backend development (Python/Go/Java)

System design & fault-tolerance

Tools

Python

Go

TypeScript

PyTorch

HuggingFace

ONNX Runtime

LangChain

AWS

Kubernetes

Redis

Postgres

S3

Terraform

GitHub Actions

Datadog

Grafana

Prometheus

Job description

Siemens AG is seeking a Senior Manager, Software Development to guide the architecture of complex, high-scale systems at the intersection of cloud, ML, and hardware. You will shape robust, scalable systems and lead cross-disciplinary teams including engineers, ML researchers, product managers, and executives.

You will influence multiple engineering teams, drive technical decisions, and ensure reliability and sustainability across core platforms as the company advances AI-native products for