Senior computer vision development talent and rates in San Jose
Senior computer vision development engineers in San Jose run roughly $158–$231/hr. 8K–18K senior ML/AI engineers; deep ex-research talent (Big Tech, FAANG, top labs). 5–8 week senior hiring loop; FAANG counter-offer market. Operating timezone: PT (UTC−8).
What computer vision development actually requires in 2026
2026 CV stack: PyTorch + Ultralytics YOLOv8/v11 for detection, Segment Anything Model (SAM) for segmentation, OpenCV for traditional pipelines, ONNX Runtime for cross-platform deploy, TensorRT for NVIDIA edge, Core ML for iOS, ML Kit for Android. Data: Roboflow, Labelbox, V7. CV engineers need PyTorch fluency, dataset curation skills, and deployment-target awareness (edge CPU vs cloud GPU vs phone NPU). Generic ML engineers without CV depth typically over-engineer training pipelines and under-deliver on real-world robustness (occlusion, lighting, scale).
Where San Jose senior computer vision development talent comes from
Where San Jose senior computer vision development talent comes from: San Jose senior bench is hardware-leaning — Nvidia, AMD, Intel, Cisco, Apple HQ Cupertino, Google QuickPath, Tesla Fremont, plus Stanford + UC Berkeley + UCSC CS programs. ML-on-hardware (CUDA, ONNX, edge inference) talent is genuinely concentrated here. For computer vision development specifically, this means buyers can typically tap engineers who have shipped at one of these orgs before — relevant operational depth, not bootcamp graduates.