Principal Systems Engineer

Artificial intelligence (AI) is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different environments with the ability to quickly learn and then solve complex problems. Recogni is a system solution company that specializes in the design of industry-leading high-performance, low-power AI inferencing. Our mission is to enable multimodal Generative AI inference acceleration at scale by providing safe, sustainable, high-performance AI-driven solutions for many markets. We are at the leading edge of advancing the latest research and product improvements for Al inference solutions that will make Al even more advantageous for compelling new applications. Recogni is a well funded, fast-paced startup company with headquarters in both San Jose, CA, and Munich, Germany. We also have many talented team members working remotely. We prioritize our employees’ well-being and their families, aiming for a healthier, happier life inside and outside work. We value their contributions and offer tailored benefits for health and financial security, catering to different life stages. Our comprehensive benefits and competitive compensation, including flexible spending and Bonusly awards, reflect our commitment to a supportive and inspiring work environment.

The Opportunity:

In this hands-on, technology leadership role, you will be responsible for multi-disciplinary end-to-end system development for our cutting-edge, multimodal generative AI inference products. You will contribute the creation of new hardware, firmware, middleware and software solutions for Recogni’s multimodal GenAI products, as well as for its interfaces to partner’s high performance data center frameworks. This is a hands-on role that’s ideal for HPC experts who have a multi-disciplinary engineering background, along with a keen interest in generative AI, and a passion for designing, debugging, optimizing and finding creative system level solutions to complex technical challenges. In this role, you will also 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. 

What you’ll bring:

• 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, with expert programming skills (proficiency with C++ and Python) along with a 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.

Recogni’s culture was built on the following values:

• Put people first. We only succeed when our people succeed.
• Ethics and integrity always; Being open, honest, and respectful of everyone.
• Think Big. Be ambitious and have audacious goals.
• Aim for excellence. Quality and excellence count in everything we do.
• Own it and get it done. Results matter!
• Make each person better together, than they would be as an individual.
• Embrace each others’ differences, and embrace that there will be differences.

Recogni is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.