Lead Computer Vision Systems Engineer, On-Device AI

Qualcomm Incorporated

San Diego (CA)

On-site

USD 155,000 - 233,000

Full time

10 days ago
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Job summary

Qualcomm Technologies, Inc. is seeking a Computer Vision Systems Engineer to join the Snapdragon Vision API team.

You will work at the intersection of algorithms, hardware, and productization to deliver CV features on next‑gen devices, from mobile to automotive platforms. Responsibilities include leading feature design and on‑device prototyping, documenting APIs and examples, and collaborating with cross‑functional teams to meet schedules and KPI targets.

Qualifications

  • Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field; 4+ years in relevant work.
  • Master's degree in Computer or Electrical Engineering, Computer Science, or related field; 3+ years in relevant work.
  • PhD in Computer or Electrical Engineering, Computer Science, or related field; 2+ years in relevant work.

Responsibilities

  • Lead design and implementation of CV features and on-device prototyping using Snapdragon Vision API.
  • Support teams in building, integrating, and deploying CV APIs for products.
  • Create technical documentation, diagrams and samples to showcase Snapdragon Vision API capabilities.
  • Ensure deliverables meet schedule and KPI targets; identify and mitigate risks.
  • Collaborate with system, software, hardware, and product teams throughout prototyping and commercialization.
  • Contribute in a fast-paced, cross-functional environment with distributed teams.

Skills

CV concepts
C/C++
Python
Vision pipelines

Education

Bachelor's degree in Computer/EE/CS
Master's degree in Computer/EE/CS
PhD in Computer/EE/CS

Tools

OpenCV
TensorFlow
PyTorch (TorchVision)

Job description

Qualcomm Technologies, Inc. is seeking a Computer Vision Systems Engineer to join the Snapdragon Vision API team.

You will work at the intersection of algorithms, hardware, and productization to deliver CV features on next‑gen devices, from mobile to automotive platforms. Responsibilities include leading feature design and on‑device prototyping, documenting APIs and examples, and collaborating with cross‑functional teams to meet schedules and KPI targets.

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