AI system solution company specializing in high-performance, low-power AI inferencing and multimodal Generative AI inference acceleration.

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

The Sr. Staff Hardware Design Engineer role offers a unique opportunity to shape the future of AI hardware systems. You'll have comprehensive ownership of hardware system development, from schematics and PCB layout to mechanical design and component selection. This position requires a seasoned professional with 10+ years of experience who can bridge the gap between ASIC, software, product, and operations teams.

The role demands expertise in hardware engineering, particularly in schematic capture, PCB design, and understanding of signal integrity, mechanical, and thermal design areas. You'll be responsible for driving critical aspects of product development, from lab bringup artifacts to shipping products, while ensuring compliance and validation standards are met.

Working at Recogni means joining a diverse, innovative team that values work-life balance and employee well-being. We offer competitive compensation and comprehensive benefits, including flexible spending options and Bonusly awards. This is an excellent opportunity for a self-motivated individual who thrives in a dynamic startup environment and wants to make a significant impact in the AI industry.

Senior Staff Hardware Design Engineer position at Recogni, leading AI inferencing hardware development with 10+ years experience required.

Sr. Staff Hardware Design Engineer

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.

Lead system development for cutting-edge multimodal generative AI inference products at Recogni, driving innovation in hardware and software solutions.

Systems Engineering Leader

Recogni is a system solution company specializing in high-performance, low-power AI inferencing, enabling multimodal Generative AI inference acceleration at scale.

Recogni is at the forefront of AI innovation, specializing in high-performance, low-power AI inferencing solutions. As a well-funded startup with offices in San Jose, CA, and Munich, Germany, we're seeking a Senior ASIC Physical Design Engineer to lead our front-end physical design efforts.

In this role, you'll guide the development of ASIC front-end physical design and engineering workflows for our multimodal generative AI inference acceleration products. You'll work closely with our ASIC team, utilizing both external EDA tools and internally developed workflows to optimize and implement new frontend physical design processes.

Key responsibilities include:
- Leading synthesis, formal checks, power analysis, and STA workflows
- Collaborating with team members to understand and improve EDA needs
- Driving innovation in scalable, high-performance systems and tools

We're looking for an experienced professional with:
- 10+ years of hands-on ASIC engineering experience
- Deep knowledge of VLSI/SoC chip physical design workflows
- Strong skills in STA analysis and SDC writing
- Experience supporting backend design teams
- Excellent analytical and interpersonal skills

At Recogni, we prioritize our employees' well-being, offering competitive benefits, flexible work hours, and a supportive work environment. Join us in shaping the future of AI technology and be part of a diverse, talented team pushing the boundaries of what's possible in AI inference acceleration.

Our culture values putting people first, maintaining ethics and integrity, thinking big, aiming for excellence, taking ownership, and embracing differences. If you're passionate about AI and ready to tackle complex challenges in a fast-paced, innovative environment, we want to hear from you!

Senior ASIC Physical Design Engineer needed to lead front-end physical design for AI inference acceleration products at Recogni.

Recogni Engineering Jobs

AI system solution company specializing in high-performance, low-power AI inferencing and multimodal Generative AI inference acceleration.