Staff Machine Learning Engineer

Job Description

Job Posting Date

2025-10-01

Additional Job Posting Location

Seattle USA

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Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Join the Qualcomm AI Hub team and help developers integrate machine learning into their products and experiences: https://aihub.qualcomm.com/

For this role we are seeking a talented and motivated Staff Software Engineer with expertise in the Android platform and on-device AI frameworks. The candidate will have opportunities to develop and support cutting-edge on-device machine learning applications, pushing the boundary of what is possible on mobile and edge hardware. Applications range from latency and power critical streaming video, to memory-challenging large language models and Gen AI. Software development would encompass integrating on-device AI frameworks (Qualcomm AI stack, TFLite/LiteRT, ONNX runtime), efficiently pre/post process data in GPU shaders, read sensor data, and putting it all together in a compelling user experience. Profiling across CPU/GPU/NPU to understand performance bottlenecks and minimize memory copies. Interact with customers and design partners as needed and provide engineering roadmap to assist in prioritization of deliverables. Beyond Android, target platforms include Windows and Linux.

Minimum Qualifications:

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

OR

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

OR

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

Preferred Qualifications:

• 3+ years of industry experience using data structures and algorithms to ship projects at scale
• 3+ years of experience with development in modern C++, Java, or Kotlin
• Solid understanding of Operating System Concepts and Concurrency
• Strong proficiency in using git for SW development
• Strong written and verbal communication skills
• 3+ years of experience working with embedded Android Experience in Android SDK, NDK, and the Android ecosystem (Maven, Google Play Store)
• Prior experience with on-device AI runtimes like LiteRT/TFLite, ONNX, and Qualcomm AI stack is a big plus
• Experience in Windows development is also a bonus
• Profiling and identifying inefficiencies across mixed CPU/GPU/NPU load
• Familiarity with python for AI/ML related software development
• Familiarity with ARM processors, ARM Assembly, Mobile SoC architecture - subsystems, hypervisor/virtualization, security, memory, storage, buses, peripherals, power, thermals
• Debugging skills, working experience in SW bring up and analyzing crash dumps

Level of Responsibility:

• Works independently with minimal supervision.
• Provides supervision/guidance to other team members.
• Decision-making is significant in nature and affects work beyond immediate work group.
• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
• Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

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).

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