Senior Software Engineer, AI Benchmarks Software

Overview

Qualcomm Technologies, Inc. – Qualcomm AI Software Engineer role within the Engineering Group. You will develop and implement cutting-edge machine learning techniques to enable efficient utilization of state-of-the-art solutions across various technology verticals. You will integrate the Qualcomm AI SDK into AI benchmark applications across hardware accelerators (NPU, CPU, GPU) and optimize performance and accuracy to achieve competitive benchmark scores. You will demonstrate passion for software design and development through analytical, design, programming, and debugging skills.

• 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 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 inclusion of new, representative models.
• Analyze competitors’ 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 Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Science, Engineering, Information Systems, or related field.

• 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 apps such as MLPerf, Geekbench AI, Procyon AI, AITutu, etc.
• Understanding of machine learning and deep learning fundamentals and key concepts.
• Familiarity with generative AI model architectures such as LLMs.
• Experience on platforms such as Linux, Android, or Windows.
• Experience with ML frameworks like Tensor Flow, PyTorch, ONNX, etc.
• Good understanding of processor architecture, system design fundamentals. Experience with ML accelerators or GPU/DSP development, optimizing algorithms for hardware acceleration cores using OpenCL, DSPs and/or ML-specific cores.
• Experience in analysis and optimization of ML KPIs (Performance, Accuracy) and system KPIs (Processor utilization, Memory, Cache, DDR, etc.).
• Experience with software 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).
• Proficiency with version control tools like Git, Gerrit.
• Ability to collaborate across a globally diverse team and manage multiple interests.

EEO Statement: Qualcomm is an equal opportunity employer. Qualcomm is committed to providing an accessible process for individuals with disabilities during the application/hiring process. Accommodation requests can be sent to disabilit Qualcomm is also committed to making our workplace accessible for individuals with disabilities throughout the hiring process.

Pay range and Other Compensation & Benefits: $ - $. The pay range reflects broad minimum to maximum for this job code/location. Salary is one component of total compensation, which also includes bonuses and RSU grants. Details about US benefits are available from the recruiter or via the provided link.