Software Engineer, AI Benchmarks Software; Leveling: Sr

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.

In this role, 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.

You will integrate the Qualcomm AI SDK into AI benchmark applications across multiple hardware accelerators, including NPU, CPU and GPU, and achieve competitive benchmark scores through targeted performance and accuracy optimizations.

You will demonstrate passion for software design and development through analytical, design, programming, and debugging skills.

• 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.

• 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, and 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;
  Staff Engineers provide guidance to junior team members and make decisions impacting their area and the broader work group.

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
• 2+ years (Senior) / 5+ years (Staff) 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).

• Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
• 1+ years (Senior) / 3+ years (Staff) of experience building embedded software applications.
• Experience with ML application development or benchmarking app experience like MLPerf, Geekbench AI, Procyon AI, AITutu etc.
• Understanding of Machine learning fundamentals and key concepts.
• Familiarity with various generative AI model architectures such as LLMs.
• Experience with development on platforms such as Linux, Android, or Windows.
• Experience with ML frameworks like Tensor Flow, 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 metrics, and system KPIs like processor utilization, memory, cache, DDR etc.
• Experience with SW…