Staff Engineer - ML/Agentic AI Developer

Responsibilities

• Design, develop, and maintain AI-native software platforms that orchestrate and evaluate agent-based workflows.
• Drive software architecture and design decisions to build scalable, modular systems with robust interfaces and sustainable engineering practices.
• Architect automation and evaluation frameworks to validate the correctness, robustness, performance, and stability of agentic systems.
• Build and own benchmarking pipelines to enable repeatable evaluation across models, agents, and configurations.
• Apply engineering judgment regarding agentic system trade-offs, including non-determinism, feedback loops, and error propagation.
• Establish best practices for production-grade AI software, including modular design, observability, and fault isolation.
• Collaborate with software, ML, systems, and infrastructure teams to improve reliability and testability.
• Mentor engineers and influence technical direction through design and code reviews.

Requirements

• 8+ years of professional software engineering experience with ownership of complex, multi-component systems.
• Strong proficiency in Python and experience building large, maintainable codebases and frameworks.
• Hands-on experience designing automation, evaluation, or testing frameworks for complex systems.
• 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.

Preferred Qualifications

• Experience working with AI agents, orchestration frameworks, or multi-step AI workflows.
• Exposure to benchmarking platforms, leaderboards, or evaluation harnesses.
• Familiarity with MLOps, observability platforms, and building scalable data pipelines.
• Experience with HPC, heterogeneous compute, or large-scale execution environments.
• MS or PhD in Computer Science, Electrical Engineering, or a related field.

About the Company

Qualcomm is a global leader in wireless technology, developing end-to-end solutions that power the world's most advanced connected devices. We foster a supportive, inclusive culture where the brightest minds collaborate to solve the most complex engineering challenges.