Qualcomm · 2 days ago
Staff Software Engineer, AI Benchmarks Software
Qualcomm Technologies, Inc. is a leading technology innovator that enables next-generation experiences and drives digital transformation. The Staff Software Engineer will develop and implement machine learning techniques to optimize AI benchmark applications across various hardware accelerators, contributing to the company's competitive edge in AI software development.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
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
Qualification
Required
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
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 learnings 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 about Processor architecture, system design fundamentals. 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 metric, 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
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
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