Principal Systems Engineer
Recogni
Job highlights
Summary
Join Recogni, a leading AI system solutions company, as a hands-on technology leader responsible for multi-disciplinary end-to-end system development for our cutting-edge, multimodal generative AI inference products. You will contribute to the creation of new hardware, firmware, middleware, and software solutions, working with both in-house teams and strategic technology partners. This role requires 15+ years of systems engineering experience, expertise in machine/deep learning and Kubernetes, proficiency in C++ and Python, and a Master's degree in a related technical field. Recogni offers a supportive and inspiring work environment with competitive compensation and comprehensive benefits reflecting our commitment to employee well-being. We prioritize a diverse and inclusive workplace.
Requirements
- 15+ years of hands-on systems engineering experience, that includes designing, debugging (within both benchtop and HIL testbeds), optimizing and supporting complex software applications that run on custom, programmable hardware systems (like CPUs, GPUs, NPUs, etc.) that heavily leverage high-speed interconnects, high bandwidth memory and cooperative multitasking for distributed computing across many processing elements, deployed within data centers
- Demonstrable expertise of Machine/Deep Learning and Kubernetes
- Expert programming skills (proficiency with C++ and Python)
- Deep knowledge of Linux OS/driver/real time software development
- Excellent analytical, written, and verbal interpersonal skills along with an ability to productively collaborate within a global engineering team that moves at a startup pace
- Master's degree in Computer Science, Computer Engineering, Electrical Engineering or a related technical field
Responsibilities
- Be responsible for multi-disciplinary end-to-end system development for our cutting-edge, multimodal generative AI inference products
- Contribute to the creation of new hardware, firmware, middleware and software solutions for Recogniโs multimodal GenAI products
- Contribute to the creation of new interfaces to partnerโs high performance data center frameworks
- Frequently advise upon, and maintain system architecture best practices for hardware and software solutions that are built in-house, as well as with strategic technology partners
Benefits
- Competitive compensation
- Flexible spending
- Bonusly awards
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