Senior Staff Hardware Design Engineer, Recogni
Office located in San Jose, CA
Vision-oriented AI platform for autonomous vehicles
Open for applications
Vision-oriented AI platform for autonomous vehicles
21-100 employees
Open for applications
Office located in San Jose, CA
21-100 employees
Company mission
To provide the highest-performing AI-based visual inference for autonomous vehicles.
Role
Who you are
- B.S. degree in Electrical or Computer Engineering
- 10+ years of hardware engineering and experience with product-cycle aspects therein
- Hands-on experience in all aspects of schematic capture, PCB design, as well as understanding signal integrity, mechanical and thermal design areas
- Experience in part selection, AVL management and working with manufacturing operations teams
- Previous involvement in representing engineering considerations in contract manufacturing relationships
- Demonstrable experience with EVT, DVT, PVT testing and certification processes is a plus
- Self-starter and highly-motivated to work in a dynamic start-up environment
What the job involves
- To keep pace in this exciting, multi-disciplinary field, we’re looking for a Sr. Staff Hardware Design Engineer
- You will be in a unique position to have ownership of a wide-ranging list of hardware system development aspects, including schematics, PCB layout and mechanical design, component selection and collaborating with operations in AVL management, EVT/DVT/PVT testing and certification
- You will also have an opportunity to make impact on design and bringup of development systems, reference platforms and volume products
- This hands-on multi-disciplinary role provides a unique opportunity to interact directly with ASIC, camera sensor, software, product and operations teams to gather necessary requirements and specifications, and help set the overall methodology around hardware system development at Recogni
- Own multiple aspects of hardware system engineering of Recogni’s flagship AI products
- Gather requirements and specifications from engineering, product and operations teams for planning and implementing all hardware system deliverables, from lab bringup artifacts to reference system to shipping products
- Hands on responsibility for the schematic capture, PCB design and other aspects of the hardware system around a complex custom AI ASIC
- Plan for Compliance, Validation and FMEA Analysis for products
- Drive hardware parts selection and vendor qualification processes in collaboration with manufacturing operations
Our take
With an investor list including the likes of Toyota, BMW and Continental, it’s perhaps safe to say that Recogni is already a contender in its sector. Its visual perception platform has been created specifically for autonomous vehicular use, from safety feature development to full self-driving vehicles. Using AI neural network accelerator technology utilising high-res imagery, HDR stereo sensing, and analysing data in real time.
Recogni saw an opportunity when they assessed the market of visual perception products and found that systems were either high performance platforms with a huge power drain, or low power, economical alternatives that compromised on performance. Recogni’s goal was to create a platform that is both powerful and economical.
Impressive investment in the company is being used to manufacture and market Recogni's new slate of AI chips, which are more specified than the current large language model training chips on the markets. Recogni's chips stand out because they focus on "inference" in the AI training process, allowing its models to make predictions based on new data - an integral part of the self-driving vehicle system. More efficient than current chips on the market, Recogni is well on its way to securing its seat in the autonomous vehicle development sector.
Freddie
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2024
$102m
SERIES C
Feb 2021
$48.9m
SERIES B
Total funding: $175.9m
Company benefits
- Learning and development opportunities
- Employee stock purchase plan
- 401K
- Dental, vision and life insurance
- Flexible work hours
- Generous PTO policy
- Work from home opportunities
- Health insurance
Company HQ
North San Jose, San Jose, CA
Leadership
Gilles Backhus
(VP of AI)Gilles has an extensive background in realtime AI development having lead and founded multiple AI based companies.
R K Anand
(CPO)R K comes from a Computer Engineering background and has gained extensive experience in managing and founding multiple technology enterprises.
Valerie Chan
(VP of Global Operations)Valerie is an experienced entrepreneur and executive with a demonstrated history of success in the hardware/technology/internet industries.
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