1 day ago
San Diego, CA, USAMid Level
H1B sponsor
Base Salary
$130k - $194k/yr
Responsibilities
- Research, design, and implement video processing and computer vision algorithms such as depth estimation, optical flow, super-resolution, denoising, 3D reconstruction, visual odometry, and SLAM.
- Develop optimized deep learning model architectures and training strategies for efficient edge deployment.
- Profile and optimize algorithms and models for memory, compute, power, and bandwidth constraints on mobile and embedded platforms.
- Collaborate with hardware, software, systems, product, and customer-facing teams to deliver algorithms meeting system requirements.
- Develop supervised and non-reference quality metrics for different computer vision use cases.
- Own the training, development, and release of models for major customer segments.
- Write technical documentation, design specifications, and feature descriptions for internal teams and external partners.
- Propose new ideas and intellectual property, contribute to technical publications or patents, and influence system-level architecture.
Requirements
- Bachelor’s degree in computer engineering, electrical engineering, computer science, or a related field plus 2+ years of relevant engineering experience; alternatively, a master’s degree plus 1+ year of experience or a PhD in a related field.
- Strong background in computer vision and video processing algorithms, with 3+ years of preferred experience developing system-level computer vision or video products.
- Hands-on experience with modern deep learning architectures and strong Python coding skills; C/C++ experience is a plus.
- Experience using PyTorch, TensorFlow, ONNX, and OpenCV for production-quality development, optimization, and on-device deployment.
- Experience deploying AI algorithms on edge platforms such as ExecuTorch, Jetpack, and QNN, with an understanding of power, memory bandwidth, and other resource tradeoffs.
- Three or more years of experience working in a large, matrixed organization is preferred.
- Ability to work across algorithm, software, and hardware boundaries and operate independently with minimal supervision.
- Experience with publications, patents, or external technical contributions is preferred.
- Familiarity with AI coding assistants and productivity tools such as Claude Code, Cursor, and ChatGPT.
Benefits
- Annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- The posted annual pay range is $129,500.00–$194,300.00; detailed US benefits are available through Qualcomm’s benefits information.
- Qualcomm provides reasonable accommodations during the application and hiring process.
Categories
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.