Solid understanding of ML compiler concepts (graph IRs, operator fusion, shape inference, lowering passes, backend partitioning) and hands-on experience with one or more compiler stacks such as MLIR, ONNX, or TVM
Experience with PyTorch model export (torch.export, torch.compile, FX, ATen IR) and on-device deployment frameworks such as LiteRT, ExecuTorch, or ONNXRuntime
Familiarity with SoC-level constraints (memory bandwidth, compute precision, NPU/DSP execution) and hardware-specific runtimes such as QAIRT/QNN is a plus
Experience building automated CI/CD pipelines for model compilation and validation at scale
Strong written and verbal communication skills; proficiency with git and software engineering best practices
Principal Duties and Responsibilities
Build & maintain machine learning compiler technologies that turn AI models (from PyTorch or ONNX) into efficient code that runs on
device chips (CPU, GPU, and NPU processors).
Contribute to AI hub compiler, ONNX Runtime QNN —doing graph optimization, partitioning, and making sure models work correctly across
backends.
Build debugging tools to spot and fix failures, accuracy loss, or slowdowns, with clear diagnostics for other developers.
Solve open-ended problems independently while mentoring teammates and giving technical guidance.
Explain complex compiler ideas clearly to chip engineers, business partners, and outside developers.
Level of Responsibility
- Works independently with minimal supervision.
- Decision-making may affect work beyond immediate work group.
- Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
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Pay range and Other Compensation & Benefits
$151,200.00 - $226,800.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
