Senior Machine Learning Engineer – AI​/ML Compiler

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group  Machine Learning Engineering General

Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs.

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications:

• 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.

ORMaster'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.

ORPhD in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications:

3+ years of industry experience in ML infrastructure, compiler engineering, or AI framework development

Proficient in Python and C++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 TVMExperience with PyTorch model export (torch.export, torch.compile, FX, ATen IR) and on-device deployment frameworks such as LiteRT, Execu Torch, 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.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disabili or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable…