המקום בו המומחים והחברות הטובות ביותר נפגשים
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device frameworks enabling optimized performance for Edge AI use cases.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices.
Must have experience and skills:
Strong theoretical background in AI and general ML techniques
Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics using advanced prompting and Retrieval Augmented Generation (RAG) techniques
Proven hands-on experience building LLM stacks to solve real-world problems
Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows)
Proven experience leading and mentoring small teams of software engineers of varying experience levels
Strong modern C++ design and implementation skills
Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.)
Strong Linux command line skills.
Strong experience with Docker and Git.
Strong general analytical and debugging skills.
Prior experience working in agile environments.
Prior experience in collaborating with multi-disciplinary teams across time zones.
Strong team player, communicator, presenter, mentor, and teacher.
Preferred extra experience and skills:
Prior experience with LLM frameworks like Microsoft Semantic Kernel and LangChain/LangGraph as well as vector similarity search using libraries like Faiss
Prior experience with model quantization, profiling and running models on edge devices.
Prior experience developing bindings to other programming languages (e.g., Java, Python, C#) using technologies such as JNI and PyBind11
Preferred qualifications:
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:
$191,500.00 - $287,500.00
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