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Day Cuda Programmer Jobs in Washington (NOW HIRING)

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

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Founding AI/ML Engineer

David Joseph & Company

Washington, DC • Hybrid

$190K - $200K/yr

Full-time

Re-posted 14 days ago


Job description

Washington, D.C. / Philadelphia hub · Hybrid (3 days/week on-site) · Full-time Compensation: $190,000–$200,000 + competitive equity

About the Company

Our client is building the AI-powered workflow layer for construction — one of the world's largest industries, and one that skipped the software era entirely. Subcontractors, its core customer, have seen no meaningful software innovation in 15+ years, and agents plus multimodal AI are the first real wedge in. Off-the-shelf foundation models struggle with construction diagrams because those aren't in standard training data, which makes training in-house models a core technical bet. It recently closed a seed round and is at ~$2M ARR.

Founded 2023 · 11–50 people (Seed) · Industry: Construction Tech / AI

The Role

The client is hiring a Founding AI/ML Engineer with deep computer-vision expertise to own the model-development side of the platform and lead the in-house model work that off-the-shelf foundation models can't handle.

Tech stack: Python, PyTorch, CUDA; computer vision (2D segmentation, object detection, classifiers; SAM / SAM3-tier foundation models); agentic orchestration & retrieval (LLMs, RAG, fine-tuning small language models, local vs foundation-model trade-offs).

Requirements
  • Computer vision, with 2D segmentation depth
  • Python + PyTorch + CUDA
  • Trains in-house models, not just fine-tunes
  • Construction diagrams / floor plans a bonus
  • East Coast (D.C. / Philadelphia hub), 3 days hybrid
Nice to Haves
  • 2D-segmentation expertise with published work in floor-plan localization, raster-to-sequence, structural priors, or comparable architectural CV
  • Personal or professional exposure to construction diagrams, floor plans, or technical drawings — genuinely rare and high-signal
  • PyTorch + CUDA fluency with an architectural-model-improvement track record (not just fine-tuning APIs)
  • Research-trained but now hands-on
  • Agentic orchestration / retrieval experience as a secondary skill
Why Join
  • Own the model layer end to end: the founding AI/ML hire, owning the entire model-development side of the platform and setting technical direction
  • A genuinely hard, defensible problem: construction diagrams aren't in any foundation model's training data, so you train in-house models — real CV depth, not API wrapping
  • Early-stage upside: a meaningful early-employee grant, a fresh seed round, ~$2M ARR with a credible 10x plan over the next 12 months
Details
  • Location — Washington, D.C. / Philadelphia hub
  • Work policy — Hybrid, 3 days/week on-site
  • Compensation — $190,000–$200,000 + competitive equity
  • Visa sponsorship — Available (H-1B)
  • Employment type — Full-time