Principal Systems Engineer

Principal Systems Engineer
San Jose, CA or Munich, Germany

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. We are 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.

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 our 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.