Software Engineer, AI Tools – Delegate

Qualcomm • San Diego, CA

1d • Onsite

About The Position

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 Machine Learning 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 contributing to the software design and development of the Qualcomm AI Runtime (QAIRT) delegate for both the ExecuTorch, ONNX Runtime and LiteRT frameworks enabling efficient AI inference on edge devices. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. You will participate in the agentic transformation of Qualcomm’s development and tooling workflow. All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. This role is open in both San Diego, CA and Raleigh, NC.

Requirements

• Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
• 2+ years software development experience using C/C++/Python
• Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
• Strong communication skills (verbal, presentation, written)
• Foundational knowledge of Machine Learning and Deep Learning
• Experience working with one of the Deep Learning frameworks like TensorFlow, PyTorch, ONNX, JAX

Nice To Haves

• 1+ years Python programming experience
• Experience with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
• Experience with Graph Compilation technologies, like MLIR, a plus
• Familiarity with ExecuTorch, TorchAO, and other related technologies in the PyTorch ecosystem
• Familiarity with TfLite, LiteRT, TF, and other related technologies in the TF ecosystem
• Familiarity with GenAI model architectures – LLM, LVM, LMM
• Experience with optimizing software, specifically AI graph workloads, for embedded platforms
• Interest in or exposure to agentic AI frameworks (e.g. Claude Code) and their application to development or testing automation
• Ability to collaborate across a globally diverse team and multiple interests
• Master's in Computer Science or Computer Engineering

Responsibilities

• Design and develop the graph compilation stack that lowers the ExecuTorch Edge IR, ONNX and LiteRT graphs to QAIRT APIs.
• Collaborate with cross-functional teams in the AI Software team at Qualcomm to gain knowledge of the capabilities of QAIRT SDK and use it to optimize inference of AI models on Qualcomm AI accelerator IP.
• Validate and optimize the performance and accuracy of software through detailed analysis and testing of machine learning use cases.
• Debug complex issues, perform root cause analysis, and ensure high system reliability.
• Participate in the team's adoption of agentic AI workflows — leveraging tools such as Claude Code, or similar frameworks — to help automate testing, benchmarking, and development activities.
• Participate in design and code reviews.

Benefits

• Competitive annual discretionary bonus program
• Opportunity for annual RSU grants
• Highly competitive benefits package designed to support your success at work, at home, and at play.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees