Edge Vision Optimization Engineer for Tactical DNNs

ORAU

Aberdeen (MD)

On-site

USD 80,000 - 120,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

ORAU is seeking a candidate to optimize and profile computer vision algorithms for deployment on edge computing devices in Aberdeen, Maryland. The ideal applicant should hold a Master's or Doctoral Degree in Engineering or a related field and have experience with deep learning and algorithm optimization techniques. Responsibilities include benchmarking algorithms, designing a model-switching framework, and working closely with partners to meet project goals.

Qualifications

  • Citizenship: U.S. Citizen only.
  • Experience with computer vision, deep learning, and edge computing.
  • Knowledge of algorithm optimization techniques for constrained devices.

Responsibilities

  • Profile and benchmark computer vision algorithms on edge hardware.
  • Optimize algorithm performance for resource constraints.
  • Design and implement a model-switching framework for dynamic model loading.
  • Collaborate with internal and external partners to advance project goals.

Skills

Computer vision
Deep learning
Algorithm optimization
Analytical skills

Education

Master’s Degree in Engineering or related field
Doctoral Degree in Engineering or related field

Job description

ORAU is seeking a candidate to optimize and profile computer vision algorithms for deployment on edge computing devices in Aberdeen, Maryland. The ideal applicant should hold a Master's or Doctoral Degree in Engineering or a related field and have experience with deep learning and algorithm optimization techniques. Responsibilities include benchmarking algorithms, designing a model-switching framework, and working closely with partners to meet project goals.
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Optimization of DNN based computer vision algorithms for resource constrained tactical edge
Optimization of DNN based computer vision algorithms for resource constrained tactical edge

ORAU • Aberdeen (MD)

On-site
USD 80,000 - 120,000
Vector Surveillance AI Engineer — Edge Vision for Health
Vector Surveillance AI Engineer — Edge Vision for Health

Entomological Society of America • Baltimore (MD)

On-site
USD 65,000 - 85,000
Computer Vision & Deep Learning Engineer — Edge AI
Computer Vision & Deep Learning Engineer — Edge AI

D3 Engineering • West Henrietta (NY)

On-site
USD 107,000 - 155,000
Competitive total compensation
Medical and dental coverage
Employer paid basic life, short-term &
+4
Real-Time DRL Hardware Engineer for Tactical AI
Real-Time DRL Hardware Engineer for Tactical AI

ORAU • Aberdeen (MD)

On-site
USD 70,000 - 90,000
Lead Edge AI Computer Vision Engineer
Lead Edge AI Computer Vision Engineer

Norbert Health • New York (NY)

On-site
USD 120,000 - 160,000
Competitive salary and equity
High autonomy and technical ownership
Mission-driven culture focused on learning
Remote Edge AI Engineer — Optimize & Deploy on Edge Devices
Remote Edge AI Engineer — Optimize & Deploy on Edge Devices

Bright Vision Technologies • Port Reading (NJ)

Remote
USD 100,000 - 155,000
Computer Vision Engineer – Real-Time DL & Edge AI
Computer Vision Engineer – Real-Time DL & Edge AI

Verkada • San Mateo (CA)

On-site
USD 180,000 - 300,000
Healthcare coverage
HSA/FSA options
Paid holidays
+2
Remote Edge AI Engineer - On-Device ML & Optimization
Remote Edge AI Engineer - On-Device ML & Optimization

Bright Vision Technologies • United States

Remote
USD 135,000 - 155,000
Equal Opportunity Employer
Remote Computer Vision Engineer — AI & Edge Deployment
Remote Computer Vision Engineer — AI & Edge Deployment

Codertal • Union (NJ)

Remote
USD 85,535 - 128,303
Competitive daily rates
100% remote work
Flexible schedule
+2
Senior Computer Vision Engineer - Real-Time AI on Edge
Senior Computer Vision Engineer - Real-Time AI on Edge

Luxoft • Massachusetts

Hybrid
USD 150,000 - 190,000