Staff Software Engineer, AI Benchmarks Software
Company: Qualcomm Technologies, Inc.
Job Area: Engineering Group > Machine Learning Engineering
General Summary
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will develop and implement cutting‑edge machine learning techniques that enable the efficient utilization of state‑of‑the‑art solutions across various technology verticals. In this position, you will be responsible for integrating the Qualcomm AI SDK into AI benchmark applications across multiple hardware accelerators, including NPU, CPU and GPU, and achieving competitive benchmark scores through targeted performance and accuracy optimizations. You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.
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.
- 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.
- PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibilities
- Integrate the Qualcomm AI SDK into AI benchmarking applications and deploy ML models — including computer vision, language, and generative AI — on Snapdragon hardware accelerators, including NPU, CPU and GPU.
- Design, evaluate, and optimize AI benchmark model’s performance and accuracy.
- Collaborate closely with AI SDK, NPU hardware accelerator, CPU scheduling, and power/performance teams to conduct end‑to‑end performance analysis and implement optimizations that deliver industry‑leading benchmark scores.
- Engage with AI benchmarking communities and vendors to discuss and propose enhancements to scoring methodologies and accuracy metrics, as well as to advocate for the inclusion of new, representative models.
- Analyze competitor’s SDKs used in AI benchmark applications to develop strategies that strengthen Qualcomm’s competitive position and benchmark leadership.
- Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.
- Work independently with minimal supervision and provide guidance to junior team members; decision‑making will impact your direct area of work and the broader work group.
Minimum Qualifications (Must Have)
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
- 5+ years of general software development experience.
- Proficiency in software development using C/C++, Python.
- Strong software development skills, including data structure and algorithm design, object‑oriented or other software design paradigms, software debugging, and testing.
- Excellent communication skills (verbal, presentation, and writing).
Preferred Qualifications (Desired)
- Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
- 3+ years of experience building embedded software applications.
- Experience with ML application development or any benchmarking app experience like MLPerf, Geekbench AI, Procyon AI, AITutu, etc.
- Understanding of Machine Learning and Deep Learning fundamentals and key concepts.
- Familiarity with various generative AI model architectures such as LLMs.
- Experience with development on various platforms such as Linux, Android, or Windows.
- Experience with any machine learning framework like TensorFlow, Pytorch, Onnx, etc.
- Good understanding of Processor architecture, system design fundamentals, and experience with machine learning accelerators or GPU/DSP development, optimizing algorithms for hardware acceleration cores using OpenCL, DSPs and/or ML‑specific cores.
- Experience in analysis and optimizations of ML KPIs like performance, accuracy metrics, as well as system KPIs like Processor utilization, Memory, Cache, DDR, etc.
- Experience with SW optimizations for custom SOCs/Accelerators, SIMD, vectorization.
- Familiarity with build frameworks like CMake, Make, Gradle; experience using/integrating Qualcomm AI Stack products (e.g., QNN, Genie).
- Well‑versed in version control tools like git, Gerrit.
- Ability to collaborate across a globally diverse team and manage multiple interests.
Pay Range And Other Compensation & Benefits
$158,400.00 – $237,600.00
We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. Please contact Qualcomm Careers for more information.
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.
Disability Accommodations
If you are an individual with a disability and need an accommodation during the application/hiring process, contact or call Qualcomm’s toll‑free number. Qualcomm is committed to providing an accessible process and will provide reasonable accommodations to support individuals with disabilities.
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