Computer Vision Engineer

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap · Mjukvaruutveckling

I korthet

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.

Ansvarsområden

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.

Krav

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.

Önskade kvalifikationer

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.

Förmåner

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

Färdigheter

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++