Staff Engineer-Machine Learning at Qualcomm India

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Staff Software Engineer — Agentic AI in VLSI Domain Role Overview We are looking for a Staff‑level Software Engineer to design and build AI‑native, agentic software systems used in complex, large‑scale engineering workflows. This role focuses on production‑grade software development, with strong ownership of automation, evaluation frameworks, benchmarking, grounded in a deep understanding of agentic architectures, system failure modes, and best practices for AI‑native software engineering. Key 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 clear abstractions, robust interfaces, and sustainable engineering practices. Architect automation and evaluation frameworks to validate correctness, robustness, performance, cost, and stability of agentic systems. 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. 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. Strong debugging skills and ability to collaborate across teams. 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 and observability platforms Familiarity with building scalable data pipelines Experience with HPC, heterogeneous compute, or large‑scale execution environments. 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. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers .

Staff Engineer-Machine Learning

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