1 day ago
Base Salary
$151k - $227k/yr
Responsibilities
- Build and maintain ML compiler technologies that convert PyTorch and ONNX models into efficient code for CPU, GPU, and NPU processors.
- Contribute to AI Hub Compiler and ONNX Runtime QNN through graph optimization, partitioning, and backend compatibility work.
- Build debugging tools and diagnostics for compilation failures, accuracy loss, and performance slowdowns.
- Solve open-ended compiler and ML infrastructure problems independently while mentoring teammates and providing technical guidance.
- Explain complex compiler concepts to chip engineers, business partners, and external developers.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field plus 2+ years of relevant experience; alternatively, a master's degree plus 1+ year of experience or a PhD in a related field.
- Preferred 3+ years of industry experience in ML infrastructure, compiler engineering, or AI framework development.
- Proficiency in Python and C++.
- Understanding of ML compiler concepts including graph IRs, operator fusion, shape inference, lowering passes, and backend partitioning.
- Hands-on experience with one or more of MLIR, ONNX, or TVM.
- Experience with PyTorch model export, including torch.export, torch.compile, FX, or ATen IR.
- Experience with on-device deployment frameworks such as LiteRT, ExecuTorch, or ONNXRuntime.
- Familiarity with SoC constraints, NPU/DSP execution, and hardware-specific runtimes such as QAIRT/QNN is preferred.
- Experience building automated CI/CD pipelines for model compilation and validation at scale.
- Strong written and verbal communication skills and proficiency with git and software engineering best practices.
Benefits
- Annual discretionary bonus program and potential annual RSU grants.
- Competitive benefits package supporting work, home, and personal well-being.
- Annual base pay range of $151,200.00-$226,800.00.
- The posting provides US benefits information and indicates that recruiters can discuss available offerings.
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About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.