Computer Vision Engineer
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
Qualcomm seeks a Machine Learning Engineer to develop computer vision algorithms for Snapdragon-powered devices. Responsibilities include researching, designing, implementing, training, and optimizing state-of-the-art ML models for real-world applications and deploying them on Qualcomm platforms.
Responsibilities
- Research, design, and develop computer vision algorithms and models for real-world applications.
- Train and optimize machine learning and neural network methodologies.
- Build and maintain training pipelines using large datasets and evaluation benchmarks.
- Integrate models into larger systems and deploy them on Qualcomm Snapdragon platforms for real-time performance.
- Analyze bottlenecks in end-to-end use cases and ML/AI workloads on Qualcomm hardware/software stacks.
- Own technical direction, influence system-level architecture, and drive solutions from research to production.
- Serve as a technical lead, review proposals, and contribute to roadmaps.
- Act as a technical expert in ML model architecture and partner with hardware engineers.
Requirements
- Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- OR Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- OR PhD in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Desired Qualifications
- Master's degree in Computer or Electrical Engineering, Computer Science, or related field.
- 6+ years of applicable video HW and/or Systems experience.
- 6+ years of experience with hardware system design, system integration, schematic capture, and circuit simulation software.
- 6+ years of experience with programming (e.g., C, C++, Python), computer architecture, or embedded systems.
- 3+ years of experience working in a large matrixed organization.
- 2+ years of work experience in a role requiring interaction with senior leadership (e.g., Sr Director level and above).
- 1+ year in a technical leadership role with or without direct reports.
- Overall 10+ years of experience in AI/ML (focused on computer vision) algorithm development, commercialization.
- Proven track record architecting and shipping systems‑level AI solutions that combine application, runtime, and platform considerations (performance, power, memory, cost).
- On-device ML deployment knowledge including: quantization (INT8/FP16), pruning/distillation, profiling, memory/power budgeting, heterogeneous compute (CPU/GPU/DSP/NPU).
- Research Mindset with Product Focus. Ability to translate research ideas into deployable systems. Comfortable reading and implementing from academic papers. Experience balancing innovation vs. production constraints.
- Strong software engineering foundations (Python/C++), containerization, AI accelerators, and profiling tools; fluency with modern inference/runtime stacks.
- Model/system benchmarking and E2E evaluation (latency/accuracy/cost/power), testing, and operations for AI at the edge.
- Background with Qualcomm AI platforms and heterogenous acceleration; familiarity with on‑device inference and memory/power budgeting.
- Domain exposure in one or more verticals: mobile, AR/VR, robotics, automotive, IoT.
Benefits
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package
Skills
Computer VisionMachine LearningDeep LearningOptical flowDepth estimationVisual trackingMulti-view geometryVisual odometrySLAM3D scene reconstructionPythonC++Embedded systemsAndroidAngularJS
#Computer Vision#Machine Learning#Deep Learning#Algorithms#Artificial Intelligence#Computer Science#Embedded Systems#Python#C++
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
1 day ago
Employment Type
Full Time
Work mode
On Site
Salary
US$186,700–280,100 / year
Experience Level
Senior
Locations
San Diego, United States of America
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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