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