Machine Learning Engineer

About

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.

AI’s ability to solve complex problems across multiple domains is transformative. In the artificial intelligence software group we are building highly optimized on‑device AI solutions. We combine high‑performance software with cutting‑edge hardware to run deep neural nets on devices such as smartphones, cars, and household robots. In this position you will build high‑performance software for AI engines including Snapdragon Neural Processing Engine, Android NN, TensorFlow Lite delegate, and many more. We develop new tools and SDKs to extend our AI solutions into industry‑leading customer use cases.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of hardware engineering, software engineering, systems engineering, or related work experience
  OR
• Master’s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of hardware engineering, software engineering, systems engineering, or related work experience
  OR
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of hardware engineering, software engineering, systems engineering, or related work experience

Responsibilities

• Own and deliver key aspects of the AI stack and provide solutions that make a difference
• Coordinate development with various teams to ensure a cohesive product
• Work with larger teams to push ideas forward
• Develop optimization algorithms for ML operators/layers for the Qualcomm AI software stack
• Enhance AI software stack frameworks for optimal resource usage while running neural networks on Qualcomm hardware
• Create software tools for profiling and debugging to support rapid deployment of new neural networks
• Evaluate and optimize neural network runtime performance and accuracy
• Work with customer teams to enable state‑of‑the‑art network models and new AI software features to meet customer use cases
• Collaborate with AI hardware and architecture teams to continuously improve AI solutions
• Contribute actively to the development process to ensure commercial‑quality software releases
• Participate in software quality process improvements

Ideal Candidate

• 5+ years industry experience
• Strong software development skills with excellent programming, analytical, development, and debugging abilities
• Curiosity and willingness to continually learn new things and propose new ideas
• Experience with C/C++ and Python (C++ work experience)
• Android or embedded Linux software development preferred
• Optimizing algorithms for hardware acceleration cores using OpenCL, OpenGL ES, and/or DSPs
• Experience with Python NumPy and deep learning frameworks such as TensorFlow, PyTorch
• Background in mathematical operations: linear algebra, fast math libraries, multi‑threading, and vector instruction sets
• Excellent communication skills (verbal, presentation, written)
• Ability to collaborate across a globally diverse team and multiple interests

Compensation & Benefits

• Pay range: $131,200 – $181,200 (base salary)
• Competitive annual discretionary bonus program
• Opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for the annual bonus)
• Highly competitive benefits package designed to support success at work, at home, and at play.