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Physical AI Software Stack

GlobalFoundries

On-site
Bengaluru, Karnataka
Full-time
Staff
Principal
15+ yrs
Salary not listedPosted 47m ago

Real job — pulled straight from GlobalFoundries’s careers page · Verified September 14, 2026 · No reposts.

Job description

GlobalFoundries is hiring a Physical AI Software Stack — a full-time, based in Bengaluru, Karnataka role. Apply directly on GlobalFoundries's careers page below.

DMTS Physical AI SW Stack

Location: IND - Karnataka - Bengaluru - Central

Time Type: Full time

Job Description

About GlobalFoundries

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power‑efficient and high‑performance solutions for high‑growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity, and sustainability. For more information, visit www.gf.com.

Your Role:-

Leads and sets the technical vision and architectural standards for the Product's AI Software Stack. This senior role involves infrastructure and application, building scalable AI platforms, kernel optimizations, graph simulators and model lowering architecture and guiding teams through this journey.

Core Responsibilities:

  • Architect AI Platforms: Design and deploy production-grade software stack for MIPS AI Platforms, encompassing the ONNX/PyTorch and other framework kernels.
  • Hardware/Software Optimization: Oversee workload performance, operators/kernel optimization, optimize deployment stacks and ensure cost-efficient scalability.
  • Model Lowering: Define the architecture and framework for model lowering to the RISCV based MIPS platform, enable faster transfer
  • Technical Leadership: Define the long-term technical roadmap, establish architectural standards, and mentor engineering teams.

Required Qualifications

  • Experience: 15+ years in software engineering, with 5+ years specifically focused on AI/ML SW for Processor Sub-systems, Hardware Accelerators and distributed systems architecture.
  • AI & Frameworks: Deep hands-on experience with Neural networks, Vision Transformers, Vision Language Action Models
  • Software Engineering: Strong background in Python, Java, C/C++, and architecture level optimization.
  • Infrastructure: Knowledge and hands on experience with Github, Docker, Kubernetes, and AI acceleration hardware.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities. All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia

 

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Frequently asked questions

What skills are required for Physical AI Software Stack at GlobalFoundries?

The required skills for Physical AI Software Stack at GlobalFoundries include: Python, Java, C++, AI, Machine Learning, PyTorch, GitHub, Docker, Kubernetes.

What is the seniority level for Physical AI Software Stack at GlobalFoundries?

Physical AI Software Stack at GlobalFoundries is a Staff / Principal level position.

How do I apply for Physical AI Software Stack at GlobalFoundries?

You can view the full description and apply for Physical AI Software Stack at GlobalFoundries on EchoJobs: https://echojobs.io/job/globalfoundries-dmts-physical-ai-sw-stack-1dch9.