AI Software Engineer

🕒 August 21

🇮🇱 Israel – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Orca AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

📦 Logistics

🚗 Transport

🤖 Artificial Intelligence

Logistics • Transport • Artificial Intelligence

Orca AI is a technology company revolutionizing the maritime industry through its innovative solutions for autonomous shipping. Their products, like SeaPod and FleetView, enhance crew situational awareness and operational safety, utilizing advanced computer vision and AI to automate lookouts and provide real-time insights. By improving navigational decision-making, Orca AI aims to increase safety and efficiency in shipping operations while helping companies achieve sustainability goals.

📋 Description

• Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams, such as NVIDIA Jetson and Triton Inference Server • Take models from research and turn them into production-ready, reliable components deployed on vessels • Profile and improve end-to-end system performance across multi-camera video ingestion, preprocessing, inference, and postprocessing • Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination • Make and justify tradeoffs between latency, accuracy, stability, and resource utilization • Design and implement robust data and inference pipelines from video to actionable output for crew • Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating • Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems • Define and maintain clear interfaces between research code and production systems • Work closely with research and backend teams to integrate new models into production systems • Continuously improve system efficiency and reliability under hardware and runtime constraints

🎯 Requirements

• 5+ years of software engineering experience, with a strong focus on systems and performance • Hands-on experience working with computer vision or deep learning systems in production • Strong programming skills in Python and/or C++ • Experience working with edge or embedded systems (e.g., NVIDIA Jetson platforms) • Strong understanding of system bottlenecks, including CPU, GPU, memory, and latency constraints • Strong intuition for profiling-driven optimization and performance tuning • Experience debugging complex systems and reasoning about behavior in real-world, noisy environments • Experience working with custom high-performance data or inference pipelines • Familiarity with multi-sensor fusion (e.g., combining vision with radar or other signals) • Experience deploying and maintaining ML models in production environments • Experience with low-level optimization and/or C++ performance tuning • Proven experience optimizing model inference (e.g., TensorRT, ONNX Runtime, quantization, pruning, or similar techniques)