GenAI Systems Evaluation Engineer – Qualcomm Research

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary: Qualcomm AI Research looking for talented machine learning algorithm evaluation engineers with experience in machine learning to enable embedded deep learning. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and user friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit ( https://github.com/quic/aimet ) to enable state-of-the-art networks to run on devices with limited power, memory, and computation.We solve challenging problems to improve speed, accuracy, and power-consumption of ML models. We optimize state-of-the-art networks to run on mobile platforms in real-time through advanced quantization and compression techniques, and cover a variety of deep learning technology areas, e.g. Convolutional neural networks, deep generative models, Large language vision, and multimodal models.Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORPhD in Computer Science, Engineering, Information Systems, or related field.As ML 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 get a chance to learn latest cutting-edge technologies in machine learning and new emerging applications and participate in each step of the development process and drive quality improvements. 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 on wide variety of use cases, develop best practices, provide detailed analysis, extend research, and identify areas for further optimization.Required Skills:

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

Great at software development with excellent analytical, development, and debugging skills.

Strong understanding of Machine Learning fundamentals.

Understanding of generative AI and its usage in various application

Knowledge of machine learning libraries such as TensorFlow, PyTorch is essential.

Excellent interpersonal, written, and oral communications skills

Preferred Skills:

MS or PhD in Computer Science/Engineering with 1+ years of professional experience or equivalent experience.

2+ years of proven experience in software development for machine learning or high-performance computing with strong programming skills in Python and software design

Proficiency in designing, implementing and training DL/RL algorithms in high-level languages/frameworks (PyTorch and TensorFlow).

Strong background in at least one of the following fields: Large Language models; Diffusion models; Model compression / quantization / optimization for embedded devices; Computer vision; Audio and speech / NLP; Deep Generative

Experience with improving efficiency of AI algorithms for deployment, including familiarity with open source solutions such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit ( https://github.com/quic/aimet )

LLM or Diffusion model training, finetuning.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hrpublicarticleview&sysparmarticle=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.Qualcomm is an equal opportunity employer and supports workforce diversity.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.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. 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.Pay range: $133,000.00 - $200,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .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