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 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 Sr. Staff Hardware Design Engineer at Recogni will lead hardware system engineering for AI products, involving schematic capture, PCB design, component selection, and testing. The role includes collaboration with various teams to gather requirements and ensure compliance, validation, and FMEA analysis.

The role involves developing and refining quantization techniques for large language models (LLMs), evaluating quantization methods for hardware efficiency, enhancing the quantization software stack, and collaborating with hardware and machine learning teams.

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 Working Student in ML Compiler Engineering will design and implement ML compiler passes for custom ASICs, enhance build systems and CI pipelines, and develop tools to improve the developer experience. This role offers hands-on experience in compiler engineering within a dynamic team.