About our company - Recogni
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.
About the role
To keep pace in this exciting, multi-disciplinary field, we’re looking for a Sr. Staff PCB Layout Engineer. You will be responsible for Printed Circuit Board (PCB) layout design of complex high-speed PCBs that will be used as development systems, reference platforms and volume products.
This hands-on role provides a unique opportunity to interact directly with Board Hardware, Mechanical, Signal Integrity, Compliance, Test and Operations teams to gather necessary requirements and specifications, and help set the overall methodology around PCB development at Recogni.
Responsibilities
- Hands on responsibility for the PCB layout and implementation of layout constraints
- Task coordination and supervision of external PCB layout contractors.
- Design from early board placement, through routing and final rule checks.
- Implement constraints communicated by HW Designer and SI Engineer.
- Implement Design for Manufacturing (DFM), Design for Assembly (DFA) and Design for Test (DFT) requirements
- Resolve issues flagged by PCB vendors and Contract Manufacturers
Qualifications
- 10+ years of hardware engineering and experience with product-cycle aspects therein.
- Hands-on experience in all aspects of PCB layout using Cadence Allegro.
- Expertise in designing high-speed multi-layer complex PCBs.
- Solid understanding of Design for Manufacturing (DFM), Design for Assembly (DFA) and Design for Test (DFT)
- Self-starter and highly-motivated to work in a dynamic start-up environment.
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.
A note to Recruitment Agencies: Please don’t reach out to Recogni employees or leaders about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.
Top Skills
What We Do
The automobile industry has arrived at a crossroads. The transition to electric vehicles (EV) and the vitalized development of fully-autonomous vehicles (AV) has placed a big burden on fitting extraordinary amounts of computational power for artificial intelligence within the energy budget of batteries without affecting range. While battery technology is improving slowly, advances in compute efficiency have stalled as mere Moore's Law scaling of computational architectures from the past are nearly at an end.
Recogni, with its unique approach to designing a vision-oriented inference artificial intelligence system from the ground up as a holistic module, will deliver unprecedented inference performance at more than 500x better power efficiency compared to other solutions, enabling novel edge processing at multiple points on vehicles to naturally offload central processing needs.
Building on a strong foundation of entrepreneurial team-building and operations experiences, our unique blend of proven track records in high-performance computing and distributed systems, artificial intelligence and machine learning, and imaging and vision systems is empowering us to accelerate the realization of fully-autonomous vehicles.
