Senior Staff ASIC 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
- 10+ years of ASIC design experience with a demonstrable track record of RTL logic design in multi-million gate ASICs with Verilog or System Verilog
- Experience in IP integration, specifically CPU IP into SoC
- Knowledge of ARM/RISC-V/MIPS Architectures, Memory hierarchy, Cache coherency, Virtual memory, Multicore CPU operation
- Familiarity with AMBA/APB/AXI Protocol
- Familiarity with processor peripheral interfaces like SPI, eMMC, *MII, GPIO, I2C ....
- Hands-on experience in all aspects of the ASIC development process with proficiency in front-end tools and methodologies
- Familiarity with low power design. UPF flow for defining power intent of chips with multiple power domains
- Previous experience with timing closure at high frequencies is a plus
- Interest to explore AI architectures for convolution, transformer and other kinds of workloads
- Self-starter and highly-motivated to work in a dynamic start-up environment
- B.S. (M.S. preferred) degree in Electrical or Computer engineering
What the job involves
- As a Senior Staff Engineer on Recogni’s ASIC team, you will be responsible for the microarchitecture and design implementation of a high-performance and low-power convolutional neural network accelerator ASIC that forms the core of the company’s flagship perception module product for autonomous driving applications
- This ASIC’s design closely couples novel computational accelerator units with 3rd-party SoC IP blocks to form an end-to-end vision perception module that achieves record-breaking computational performance at low power
- Your responsibilities will be wide-ranging and run the gamut of microarchitecture design and documentation, Verilog RTL implementation, selecting and integration 3rd-party IP blocks, working closely with design verification engineers, running frontend synthesis and working with a backend team on place-and-route guidance and timing closure
- Author micro-architecture specifications and participate in specification and test plan reviews
- Architect and implement complex RTL designs
- Scope third party IP requirements and solicit vendors
- Integrate CPU and other relevant IPs into the CPU sub-system
- Collaborate with the physical design team to resolve implementation and timing issues and to optimize power
- Analyze code coverage and provide feedback to the verification team to achieve coverage closure
- Perform diagnostic and post-silicon validation tests, as well as assist with software bring-up in the lab
Otta's take
Theo Margolius
COO of Otta
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.
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 values
- 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
Company HQ
North San Jose, San Jose, CA
Founders
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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