Systems Engineering Leader

AI system solution company specializing in high-performance, low-power AI inferencing and multimodal Generative AI inference acceleration.
Distributed Systems
Principal Software Engineer
Hybrid
15+ years of experience
AI · Enterprise SaaS

Description For Systems Engineering Leader

Recogni is at the forefront of AI innovation, specializing in high-performance, low-power AI inferencing solutions. With headquarters in both San Jose, CA, and Munich, Germany, we're a well-funded startup transforming the landscape of multimodal Generative AI inference acceleration.

We're seeking a Principal Systems Engineering Leader to drive our cutting-edge technology initiatives. This role combines hands-on technical leadership with system architecture expertise, perfect for HPC professionals passionate about generative AI. You'll be responsible for end-to-end system development, creating innovative solutions across hardware, firmware, middleware, and software domains.

The ideal candidate brings 15+ years of hands-on systems engineering experience, with deep expertise in Machine Learning, Kubernetes, and programming (C++, Python). You'll work with state-of-the-art technology, including CPUs, GPUs, NPUs, and high-speed interconnects, while collaborating with a global engineering team.

At Recogni, we prioritize our employees' well-being, offering comprehensive benefits and competitive compensation. Our culture values people first, emphasizes ethics and integrity, and encourages thinking big. We're committed to diversity and inclusion, believing that diverse teams drive innovation and excellence.

Join us in shaping the future of AI technology while working in a supportive environment that values both professional growth and work-life balance. This role offers the unique opportunity to work on groundbreaking AI solutions while making a significant impact in the industry.

Last updated 2 months ago

Responsibilities For Systems Engineering Leader

  • Lead multi-disciplinary end-to-end system development for multimodal generative AI inference products
  • Create new hardware, firmware, middleware and software solutions
  • Design, debug, optimize and find creative system level solutions
  • Maintain system architecture best practices
  • Collaborate with strategic technology partners

Requirements For Systems Engineering Leader

Python
Linux
Kubernetes
  • 15+ years of hands-on systems engineering experience
  • Experience with designing, debugging, and optimizing complex software applications
  • Expertise in Machine/Deep Learning and Kubernetes
  • Expert programming skills in C++ and Python
  • Deep knowledge of Linux OS/driver/real time software development
  • Excellent analytical, written, and verbal interpersonal skills
  • Master's degree in Computer Science, Computer Engineering, Electrical Engineering or related field

Benefits For Systems Engineering Leader

  • Comprehensive health benefits
  • Flexible spending
  • Bonusly awards
  • Competitive compensation

Interested in this job?

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