Nuvia
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.
Responsibilities
As GenAI evaluation engineer, you will work with world-class engineers at Qualcomm Research to evaluate ML software tools and algorithms, with focus on benchmarking floating-point models, quantization-simulated models and fully-deployed on-device models to ensure they meet quality standards. 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.
Beyond evaluation, you will also be responsible for designing and maintaining internal evaluation frameworks. They play a key role in ensuring methodological consistency and evaluation speed across use cases, from quantization simulation to fully deployed models.
You will collaborate closely with software and system engineers to gain a deep understanding of each technology’s purpose and application. Your responsibilities will include planning a comprehensive evaluation approach and implementing the evaluation strategy. This involves deciding on key performance metrics (KPIs), automating benchmark processes, and performing qualitative analysis of model behavior.
This position offers frequent collaboration with teams across Qualcomm’s global offices, including our headquarters in San Diego, and the opportunity to participate in cross-functional meetings in a global development environment.
Required Skills:
• Bachelor's degree in Engineering, Computer Science, or related field.
• Excellent software development capability with analytical, development, and debugging skills.
• Familiarity with version control systems (e.g. Git).
• Strong understanding of Machine Learning fundamentals.
• Understanding of generative AI and its usage in various application.
• 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 TensorFlow).
• Superb interpersonal, written, and oral communication skills in English.
Preferred Skills:
• MS or PhD in Computer Science, Engineering, or related fields with 1+ years of professional experience.
• 2+ years of proven experience in software development for machine learning with strong programming skills in Python and software design.
• AI safety knowledge: Understanding of AI safety principles and practices, including risk assessment and mitigation strategies
• Experience in benchmarking deep generative models, including evaluating output quality, diversity, and latency.
• Familiarity with AI agent frameworks (like LangChain, LlamaIndex, Autogen).
• Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT).
• Experience in machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems.
• Experience in designing and developing generalized AI solutions, including RAG systems.
• Experience in Android/Linux or other embedded systems.
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.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.
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If you would like more information about this role, please contact Qualcomm Careers.
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