Software Architect – Physical AI & Digital Twin Systems

Siemens

Pune, INonsitePosted Jun 26, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

About the role

Siemens Energy Gas Services (GS) is seeking a Software Architect (Physical AI) to define the architecture for AI-enabled cyber-physical systems used in industrial and manufacturing environments. This role focuses on robotics, perception, simulation and Digital Twin, edge/cloud platforms, and real-time system integration to enable more autonomous, efficient, and scalable factory operations.

You will architect scalable, secure, and maintainable platforms spanning cloud, edge, and on-prem environments, with responsibility for integration patterns, APIs, non-functional requirements, and technical standards. The role includes designing systems that connect software platforms with industrial assets such as robots, PLCs, sensors, and telemetry pipelines.

Working across engineering, operations, and data teams, you will shape architectures that support perception-to-action pipelines, Sim2Real workflows, and long-term platform evolution. You will also guide technology choices, architecture governance, and implementation direction for reliable deployment of Physical AI solutions at scale.

How You’ll Make an Impact (key responsibilities of role)

What You Bring (required qualification and skill sets)

Bachelor’s or master’s degree in computer science, engineering, data science, or any related field, or equivalent practical experience.

in software architecture, system design, and enterprise application development, with a proven track record of delivering scalable and maintainable solutions.

Proven experience designing and scaling enterprise-grade platforms across cloud and hybrid environments with strong focus on performance, reliability, and security.

Good-to-Have Qualifications

Key Attributes

Strong problem‑solving mindset and ability to work with team members from different domains.

Excellent communication skills and willingness to support others across the team.

on engineering mindset with focus on practical development & deployment.

experts.

High ownership and accountability.

Comfortable working across R&D, engineering, and service organizations.

Questions about this role

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