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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
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