AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Job Description Job Description Develop advanced software and modeling solutions for AI-enabled camera silicon. This role is responsible for leading the design, development, optimization, and verification of standards-based real-time hardware video codecs. The successful candidate will work closely with architecture, hardware, and software teams to drive innovation in video compression technologies and support next-generation AI camera products. Key Responsibilities • Lead the development and optimization of video codec algorithms with a focus on video quality, latency reduction, and hardware efficiency. • Design and implement reference codec models and performance enhancements. • Drive hardware/software co-design efforts and silicon architecture modeling. • Develop advanced diagnostics and verification tools for silicon validation. • Architect and optimize real-time embedded firmware solutions. • Lead software rate control design and optimization activities. • Mentor junior engineers and provide technical leadership on codec development projects. • Collaborate with cross-functional teams to define future video codec capabilities and requirements. Required Skills • Expert-level programming skills in C and C++ • Strong embedded software development experience • Familiarity with video compression standards (H.264, H.265/HEVC, AV1, or similar) • Experience with codec optimization, performance analysis, and system-level debugging • Ability to lead technical projects and mentor team members • Experience using AI-powered software development tools (e.g., Cursor, Claude, or similar) to improve engineering productivity and code quality. Location Dayton (Beavercreek), Ohio Experience • 5 to 10+ years of relevant experience in video codec, embedded software, or related engineering fields