Engineer, Staff

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Systems and Solutions Staff Engineer - Data Center AI

General Summary

As Datacenter Systems and Solutions Engineer, you own the full arc of AI inference programs on Qualcomm's datacenter AI platform from architectural decisions through production deployment and serve as the technical lead on customer engagements. This role requires expertise across the AI stack, including hardware accelerator behavior, inference serving frameworks, model optimization and distributed system design, combined with the cross-functional leadership to drive complex, ambiguous programs across compiler, runtime, serving and customer engineering organizations.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of systems engineering or related work experience
• OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of systems engineering or related work experience
• OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of related experience
  
  

Principal Duties and Responsibilities

• Lead the architecture and end-to-end design of AI inference solutions on Qualcomm AI hardware, defining system requirements, interface specifications and performance targets for complex deployments
• Own customer AI engagements as technical lead: translate customer requirements into deployment-ready serving architectures, drive model optimization and validate production readiness
• Drive development and deployment of GenAI and LLM applications, including architecture decisions for fine-tuning, quantization, speculative decoding and disaggregated serving
• Define and execute benchmarking programs across the hardware and software stack; perform root-cause analysis on complex system-level issues and communicate findings to engineering and customer stakeholders
• Mentor and coach engineers on technical approaches, debugging methodology and best practices; provide leadership on project execution and set clear expectations across contributors
• Identify and prototype solutions to unmet technical challenges; challenge ingrained practices by introducing approaches drawn from current research and validated against production hardware
• Collaborate across compiler, runtime, serving, model engineering and customer engineering teams to resolve cross-functional blockers and deliver system-level objectives
• Define reusable platform capabilities, tooling and documentation that scale team capacity beyond individual engagements
• Contribute to strategic decisions on model portfolio prioritization, inference stack investment and customer deployment architecture
• Track advancements in AI and ML research and translate techniques relevant to Qualcomm's hardware capabilities into actionable product and solution improvements
  
  

Required Skills

• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)
• Deep understanding of ML model development, deployment and production inference
• Deep understanding of system performance profiling and parallel computing
  
  

Preferred Qualifications

• Master's or PhD in Engineering, Information Systems, Computer Science, Physics or related field
• Advanced understanding of GenAI architectures including transformers, diffusion models, LLMs, large vision-language models and embedding models
• Hands-on experience with inference optimization techniques: speculative decoding, KV cache management, continuous batching and tensor/pipeline parallelism
• Experience fine-tuning and distilling GenAI models at scale; familiarity with RLHF and RLAIF methods is a plus
• Background in compiler optimizations for ML workloads targeting heterogeneous hardware
• Experience designing and operating large-scale distributed AI systems with knowledge of microservice and event-driven architectures
• Proficiency with MLOps practices and ML lifecycle tooling; experience with containerization and automation (Docker, Kubernetes, GitOps) is expected
• Experience with observability and performance analysis for ML pipelines: metrics collection, distributed tracing and capacity modeling
• Track record of leading complex technical programs across large, matrixed organizations
• Experience with open-source development workflows and version control systems (Git, GitHub, GitLab, Gerrit)
• Experience with rack-level orchestration and datacenter automation is a plus
  
  

Minimum Qualifications:

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

OR

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

OR

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

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
  
  

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 [HIDDEN TEXT] 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.