Full Stack Developer & AI/ML Engineer - Vision AI
Linque · Royersford, PA
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Jul 21, 2026
Royersford, PA
Jul 22, 2026
What this job asks for AI summary
A senior engineering role focused on building and deploying computer vision and AI systems for industrial and process manufacturing settings. Day-to-day work spans designing production-grade vision pipelines, optimizing algorithms for edge hardware such as Nvidia Jetson devices, and translating industrial problems into scalable ML architectures. The role also carries light supervisory responsibility over full-stack developers and involves direct engagement with customers during pilots and evaluations.
Senior level · 7+ years · Philadelphia-Camden-Wilmington, PA-NJ-DE-MD · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 90 people in the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD area plausibly meet what this posting asks for (software developers). range 20–140
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $135,966 (middle half $106,205–$168,771).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The role is genuinely ambiguous between Software Developers (15-1252) and Data Scientists (15-2051): it emphasizes production-grade software engineering, edge deployment, and Domain-Driven Design, but also requires deep ML/computer vision modeling expertise. Software Developers was chosen as primary because the JD stresses production pipeline development, platform architecture, and deployment over research or statistical modeling.
Location is inferred as the Mid-Atlantic region (Proconex's territory); no specific city is stated. Philadelphia metro is used as the best proxy for Proconex's headquarters.
Nvidia Jetson is mentioned in the role narrative (not under a formal Preferred section) as an example edge device target; treated as preferred context rather than a hard gate.
Mask R-CNN, ResNet, and U-Net are listed together as examples of image/video processing tools under Required Qualifications. Mask R-CNN is used as the primary skill name with ResNet and U-Net as alternatives, since the JD presents them as a group of equivalent examples.
PyTorch is listed first among ML frameworks with TensorFlow and Keras as named alternatives in the same parenthetical; all three are captured under one skill entry.
CUDA and cuDNN are listed together under model interchange/GPU acceleration; CUDA is the primary with cuDNN as an alternative.
No compensation figures are provided in the posting.
The posting explicitly states no corp-to-corp and no sponsorship; candidates must be US work-authorized.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Domain-Driven Design, container orchestration, real-time vision systems.
Read the full posting
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