Agentic AI Benchmarking and Evaluation Engineer

Overview

Qualcomm AI Research looking for talented ML/AI algorithm evaluation engineers with experience in machine learning to enable embedded GenAI and Agentic AI. Join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, tools such as AI Model Efficiency Toolkit, and others to enable state-of-the-art networks/systems to run on devices with limited power, memory, and computation. Join Qualcomm’s AI Research team to design and implement highly optimized machine learning solutions for generative AI, in collaboration with a multi-disciplinary team of researchers and engineers.

As Agentic AI (GenAI) Benchmarking and Evaluation Engineer, you will work with world-class engineers at Qualcomm Research to evaluate ML software tools and algorithms to ensure they meet quality standards. As a member of our team, you will have the opportunity to learn latest cutting-edge technologies in machine learning and new emerging applications, participate in each step of the development process, and drive quality improvements.

You will port AI/ML solutions to various platforms and optimize performance on multiple hardware accelerators (like CPU/GPU/NPU).

You’ll collaborate with members of the software teams and plan a comprehensive evaluation approach. You will work with a small team of engineers to implement the evaluation strategy, deciding key performance metrics (KPIs), developing automation, and performing qualitative tests.

You will be responsible for developing a deep understanding of the ML algorithms developed in the project. You will apply tools and algorithms to a wide variety of use cases, develop best practices, provide detailed analysis, extend research, and identify areas for further optimization. Perform in-depth benchmarking and model evaluation to ensure AI systems meet safety standards.

• Exceptional software development skills with excellent analytical, development, and debugging skills.
• Strong understanding of Machine Learning fundamentals.
• Understanding of generative AI and its usage in various applications.
• Experience with LLM, LVM, LMM models, and other NN architectures.
• Proficiency in designing, implementing and training ML algorithms in high-level languages/frameworks (PyTorch and Tensor Flow).
• Excellent interpersonal, written, and oral communications skills.

• MS or PhD in Computer Science/Engineering with 2+ years of professional or equivalent experience.
• 2 years of proven experience in software development for GenAI, machine learning or high-performance computing with strong programming skills in Python and software design.
• Familiarity with AI agent frameworks (like Lang Chain, Llama Index, Autogen).
• Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT).
• Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems.
• Experience driving cross-functional projects, including close collaboration with AI application teams to translate product needs into evaluation frameworks.
• Design and develop generalized AI solutions, including RAG systems, to enhance user capabilities with our AI accelerators.
• Experience in Android/Linux or other embedded systems.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may e-mail disabili 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.

EEO

Employer:

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay Range And Other Compensation & Benefits: $ - $. The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm, which also includes a competitive annual discretionary bonus program and potential RSU grants. Our benefits package supports success at work, at home, and r recruiter can discuss details.

For more information about our US benefits, see the relevant link.

If you would like more information about this role, please contact Qualcomm Careers.