The Sr. Technical Writer will collaborate with engineering and marketing teams to create technical documentation, manuals, and data sheets. They must convey complex technical concepts clearly for expert and novice audiences and demonstrate exceptional writing skills and experience in high-performance computing and AI technologies.

The Sr. ASIC EDA Workflow Engineer will enhance EDA tools and workflows for AI products, lead optimization in ASIC chip design, and develop automation scripts. This role requires a background in VLSI/SoC design, strong coding skills, and hands-on experience with EDA tools.

The Senior ASIC Design Engineer will lead the front-end physical design and engineering workflows for AI inference products. Responsibilities include guiding ASIC team members, improving workflows, and implementing EDA tools. The role also involves optimizing design processes and ensuring high-quality, scalable systems.

The Build System, CI, & Infrastructure Engineer will design, implement, and maintain build systems and CI pipelines, collaborating with software and systems teams to optimize workflows and ensure robust deployments. Responsibilities include managing Docker containers, using Makefiles and CMake, scripting with Bash and Python, and developing CI/CD processes with version control practices.

The Sr. Staff PCB Layout Engineer at Recogni will lead PCB layout design for complex, high-speed PCBs. Responsibilities include implementing layout constraints, overseeing external contractors, and ensuring compliance with manufacturing and assembly standards. The role requires collaboration with cross-functional teams to define specifications and methodologies for PCB development.

The Sr. Staff Hardware Design Engineer will be responsible for multiple aspects of hardware system engineering of Recogni's flagship AI products. This includes schematic capture, PCB design, hardware parts selection, and vendor qualification. The role requires 10+ years of hardware engineering experience and a B.S. degree in Electrical or Computer Engineering.

As a Principal Systems Engineer at Recogni, you will lead multi-disciplinary end-to-end system development for AI inference products, create solutions for hardware and software, and advise on system architecture best practices. The role requires extensive hands-on experience in system engineering and collaboration within a fast-paced environment.

The Principal Software Engineer will lead the development of innovative AI inference products, responsible for system software solutions and interfaces. This role requires extensive experience in software engineering, particularly in high-performance computing and embedded Linux environments, focusing on design, optimization, and debugging of complex systems.