Sr Embedded Machine Learning Engineer

Job Overview

We are seeking a Machine Learning software engineer with embedded experience to develop and deliver novel embedded AI solutions for infotainment and ADAS/Autonomous Driving.

Key Responsibilities

• Design and implement core components of the ML runtime framework for inference on embedded systems.
• Collaborate with compiler, hardware, and model teams to co-design efficient execution paths for AI workloads.
• Develop and maintain C++ code for runtime kernels and system-level integration.
• Develop tools to assist with performance profiling and debugging of quantized model accuracy.
• Analyze and improve runtime behavior using profiling tools and hardware counters.
• Support deployment of models from popular ML frameworks (Onnx, TensorFlow, PyTorch) onto Qualcomm’s inference stack.
• Challenge the status quo and drive innovations to be best-of-class.

Required Skills & Experience

• Strong hands‑on experience in performance optimization for embedded or low‑power systems.
• Excellent C++ programming, focused on system‑level and runtime development.
• Solid understanding of embedded system design, including memory hierarchy and hardware‑software interaction.
• Experience with Linux/Android/QNX development environments and toolchains.
• Familiarity with computer architecture, especially for AI accelerators or DSPs.
• Solid knowledge of machine learning concepts and model structures.
• Optimization of algebraic operations in algorithms for HW cores.
• Knowledge of deep learning and popular frameworks is an asset.

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.
• Master’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.
• Ph.D. in Computer Science, Engineering, Information Systems, or related field.

Compensation

Pay range: $114,400.00 - $164,400.00, plus discretionary bonus program and RSU grants.

Equal Opportunity & Disability Accommodations

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm commits to providing an accessible process. Contact View email address on click.appcast.io for reasonable accommodations.