About 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.
Role and Responsibilities:
In this leadership role, you will lead ASIC front-end physical design and associated engineering workflow development for Recogni’s multimodal generative AI inference acceleration products. As a valued senior member of our ASIC team, you will guide and assist your colleagues to help improve frontend physical design aspects at both the block level and full-chip within a fast-paced, agile HPC development environment that utilizes EDA tools from external companies like Cadence/Synopsys and as well as internally developed workflows. You will drive Recogni’s optimization, implementation and exploration of new frontend physical design workflows (includes at a min. synthesis, formal checks, power analysis, and STA) and technologies for the full ASIC chip design process. Your contributions will continuously innovate and improve scalable, reliable, high-performance systems and tools to enable the next generation of Recogni products. This is a hands-on role that’s ideal for ASIC physical design 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 EDA solutions to complex technical challenges. In this role, you will work very closely with your ASIC team members who are engaged in the design and verification of Recogni products, to understand and improve their workflows and EDA needs.
Required Qualifications:
- 10+ years of hands-on ASIC engineering experience, that includes deep knowledge of VLSI/SoC chip physical design workflows, with EDA tools like Cadence/Synopsys (Genus/DC), power analysis, STA analysis, clock methodology, and other commonly used aspects of physical design flows
- Strong physical design knowledge for STA analysis and ability to write SDCs as needed.
- Experience leading and supporting backend design team with understanding of clock trees, routing , DRC, LVS, metal fill till artwork release.
- 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.
- Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering or a related technical field
Reasons to consider joining Recogni:
- Ground floor opportunity with the team; be part of shaping one of the most exciting new companies.
- Learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields, from Artificial Intelligence & Computer Vision to Systems & Device Engineering.
- Competitive benefits package including Medical, Vision, Dental
- Perks including meals, snacks, drinks and us!
- Sharp, motivated co-workers in a fun office environment
- Flexible work hours & generous PTO policy
Recogni's culture was built on the following values that are equally important to us as business:
- 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.
- 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.
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.
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