Senior AI Systems Architect (Hybrid)

Siemens

New York (NY)

Híbrido

USD 167.000 - 226.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Siemens is seeking a Software Engineer in New York, NY, to shape the architecture for high-scale systems blending cloud, ML, and hardware. You will define robust, scalable direction and work with engineers, ML researchers, product managers, and executives on foundational components for next-gen intelligent systems.

You will influence multiple teams and the product through technical leadership, architecture decisions, and collaboration across infra, ML, and product domains.

Formación

  • 6+ years of professional software development experience.
  • Experience designing and scaling distributed systems in production environments.
  • Proficiency in at least one backend programming language (Python, Go, Java).
  • Strong understanding of systems architecture, observability, and deployment best practices.
  • Demonstrated ability to lead cross-functional technical initiatives.

Responsabilidades

  • Lead architecture and development of complex, high-scale systems.
  • Drive technical decisions and trade-offs across multiple domains (infra, ML, product).
  • Collaborate across teams to align long-term platform and product direction.
  • Set engineering standards for code quality, design, and operational excellence.
  • Mentor and support growth of engineers across the team.

Conocimientos

Python
Go
TypeScript

Herramientas

AWS
Kubernetes
Postgres
Redis
Terraform

Descripción del empleo

Siemens is seeking a Software Engineer in New York, NY, to shape the architecture for high-scale systems blending cloud, ML, and hardware. You will define robust, scalable direction and work with engineers, ML researchers, product managers, and executives on foundational components for next-gen intelligent systems.

You will influence multiple teams and the product through technical leadership, architecture decisions, and collaboration across infra, ML, and product domains.

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