Staff Software Architect

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

Staff Software Architect (EDA ML Software)

Role Overview

We are looking for a software architect to design and develop advanced AI‑powered applications in the EDA/ML domain, with a focus on building scalable, production‑quality systems grounded in strong software architecture, design discipline, and engineering best practices.

Key Responsibilities

• Drive software architecture and design decisions to build scalable, modular systems with clear abstractions, robust interfaces, and sustainable engineering practices.
• Architect automation and evaluation frameworks to validate correctness, robustness, performance, cost, and stability of agentic systems.
• Proven experience building full-stack applications, including frontend (UI) and backend REST API services
• Build and own benchmarking pipelines that enable repeatable, comparable evaluation across models, agents, configurations, and releases.
• Apply strong engineering judgment around agentic system trade‑offs, including non‑determinism, feedback loops, tool‑invocation failures, and error propagation.
• Establish best practices for production‑grade AI software, including modular design, observability, fault isolation, and reproducibility.
• Collaborate with software, ML, systems, and infrastructure teams to improve reliability and testability.
• Drive technical direction, engineering rigor, and code quality through design and code reviews.
• Mentor engineers and influence architecture through technical leadership.
  
  
  

Required Skills & Experience

• 8+ years of professional software engineering experience with ownership of complex, multi‑component systems.
• Hands-on experience working with HPC infrastructure using job schedulers like Slurm and LSF
• Strong proficiency in Python/Java/C++ and experience building large, maintainable codebases and frameworks.
• Strong understanding of agentic system architectures, common failure modes, and operational pitfalls.
• Experience building CI/CD pipelines with automated quality, evaluation, and release gates.
• Solid grasp of distributed systems or platform‑scale software engineering concepts.
• Ability to reason about non‑deterministic systems and design reliable evaluation strategies.
• Strong debugging skills and ability to collaborate across teams.
  
  
  

Preferred Qualifications

• Experience working with AI agents, orchestration frameworks, or multi‑step AI workflows.
• Familiarity with building scalable data pipelines
• Experience with HPC, heterogeneous compute, or large‑scale execution environments.
• Exposure to VLSI domain and EDA tools software dev is highly preferred.
• MS or PhD in Computer Science, Electrical Engineering, or related field.
  
  
  

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  
  
  

OR

Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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