Machine Learning Engineer, AI Software (C++)

Role overview

Responsibilities

• Design and implement high-performance GenAI software for customer use cases and optimize on-device model execution on Hexagon DSPs.
• Integrate GenAI features and contribute to GenAI-enhanced chip-design and system-optimization workflows.
• Develop and performance-tune C++17 software libraries for embedded systems and Qualcomm Hexagon Processors.
• Develop model-analysis tools for internal and external customers and use embedded cross-compiler toolchains.
• Address issues in Qualcomm AI products and optimize machine learning operations on Hexagon Processors.
• Communicate across global teams and participate in software-quality process improvements.

Preferred qualifications

• Three or more years of relevant work experience and experience with modern C++17 features are preferred.
• Preferred experience includes fast math algorithms, vector instructions, middleware or firmware, multithreading drivers, Hexagon DSP SDK, embedded cross-compilers, and JIT technologies.
• Experience with neural networks such as DNNs, CNNs, RNNs/LSTMs, GANs, or LLMs and low-level OS/hardware interactions is preferred.
• Experience with Qualcomm FastRPC, Windows MCDM drivers, or Qualcomm AI Stack tools such as QNN, SNPE, and QAIRT is preferred.
• Familiarity with TensorFlow, PyTorch, or ONNX; tools such as Git, Linux, JIRA, and Docker; and object-oriented design patterns is preferred.
• Ability to collaborate across a globally diverse team is preferred.

Minimum qualification

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

Pay and benefits

• The posted pay range is $104,800 to $154,800; the posting does not specify its cadence.
• The company describes an annual discretionary bonus program, possible annual RSU grants, and a benefits package.