Computer Vision Engineer

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October 20

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Reveal Technology

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Artificial Intelligence • Security • Defense

Reveal Technology is a company dedicated to enhancing decision-making at the tactical edge through innovative technology products. Specializing in areas such as AI and automation, Reveal provides advanced solutions for mission-critical environments, including defense and public safety. Their flagship product, Farsight, offers sophisticated GEOINT capabilities by creating rapid 2D/3D maps from surveillance video, functioning efficiently even without network connectivity. Designed with combat experience, Reveal’s products aim to reduce risk and enhance effectiveness in tactical operations. Additionally, Reveal’s Identifi product revolutionizes biometric data collection, aiding rapid identification and verification in the field.

11 - 50 employees

🤖 Artificial Intelligence

🔐 Security

💰 Seed Round on 2022-04

📋 Description

• Design, develop, integrate, and optimize new features across our computer vision and 3D reconstruction pipelines. • Build, integrate, and deploy software solutions into a large-scale production C++ codebase. • Ensure high standards for code quality, testing, and development practices to maintain a robust and clean codebase. • Profile and optimize performance for efficiency, scalability, and low-latency deployment in production environments. • Stay up to date with the latest research and industry trends in CV, ML, and 3D data processing, applying relevant advancements where appropriate. • Contribute to technical documentation, design reviews, and code reviews to ensure maintainability and knowledge sharing. • Debug, identify root causes, and implement and test fixes for problems. • Work collaboratively with all teams to define and execute the technical roadmap for Farsight and other products.

🎯 Requirements

• 3-10+ years of experience as a Computer Vision Engineer or equivalent. • Experience developing production-grade C++ in Linux or other command-line-based environments. • Strong debugging skills, including reproducing problems, identifying root causes, implementing fixes, and testing solutions. • Experience building software solutions that involve large-scale data processing and analysis. • Ability to quickly understand and navigate complex systems and established codebases. • Deep knowledge of and experience with classical 3D computer vision concepts such as camera models, stereo vision, camera calibration, multi-view geometry, SfM, SLAM. • Solid understanding of linear algebra. • Familiarity with representations of 3D data, such as point clouds, polygonal meshes, and depth maps, and algorithms for generating and processing them. • Proficiency with Python for automation and scripting. • Significant experience applying machine learning to solve real-world computer vision problems. • Deep understanding of computer vision fundamentals, including classical and ML-based approaches. • Experience building, training, and experimenting with models using PyTorch. • Experience deploying ML models to production environments. • Familiarity with the ONNX framework. • Experience with and willingness to work on software implementation and integration of ML solutions into large codebases. • Familiarity with modern 3D CV advancements such as neural rendering techniques (NERFs, Gaussian Splatting), and related approaches for 3D reconstruction and scene representation. • Experience with multithreading in C++. • Experience with GPU programming, such as OpenCL, CUDA, or Vulkan. • Knowledge of geospatial concepts, including latitude/longitude/altitude, MSL vs. HAE, UTM, and coordinate systems. • Experience with gRPC protocol or Bazel build system. • Cross-platform development skills for Mac, Linux, Windows, and Android. • Proven experience working in fast-paced ambiguous environments. • Must be eligible to obtain and maintain a U.S. Top Secret security clearance

🏖️ Benefits

• Medical, Dental, Vision coverage • HSA/FSA options • Parental Leave • 401(k): 200% match for the first 6% contributed • Unlimited Paid Time Off • Home Office Stipend