Sr. Linux Embedded Software Engineer

Confirmed live in the last 24 hours

51-200 employees

High-efficiency AI system for autonomous vehicles

Company Overview

Recogni stands out in the automobile industry with its unique approach to designing a vision-oriented inference artificial intelligence system, delivering an unprecedented 500x better power efficiency compared to other solutions. This enables edge processing at multiple points on vehicles, reducing the need for central processing and accelerating the development of fully-autonomous vehicles. The company's strong foundation in high-performance computing, artificial intelligence, machine learning, and imaging and vision systems, coupled with its commitment to user privacy and data security, make it a promising place to work and grow.

AI & Machine Learning

Automotive & Transportation

Company Stage

Series B

Total Funding

$73.9M

Founded

2017

Headquarters

San Jose, California

Growth & Insights

Headcount

6 month growth

↑ 11%

1 year growth

↑ 14%

2 year growth

↑ 60%

Locations

San Jose, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Computer Vision

Data Structures & Algorithms

Git

Linux/Unix

Tensorflow

Python

CategoriesNew

AI & Machine Learning

Software Engineering

Requirements

3-5+ years of Systems Software experience; candidates with more years of experience are encouraged to apply and may be considered for higher level roles
Experience with developing Linux Device Drivers
Experience working under Linux Embedded environments
Experience in Sensor and robotics development: Motor drivers / sensors data reading / writing, camera calibration etc
Experience with version control software (Git, GitHub)
PCIe drivers, Device Tree, Yocto / BitBake etc
Strong scripting and debugging skills using shell scripts, Python
Implementing various development, testing, automation tools, and IT infrastructure
Familiar with/fluent in the latest versions of any of the following tech stack (ordered by relevance):
C/C++
PCIe drivers, Device Tree, Yocto / BitBake
TensorFlow, Python, Git(Hub/Lab)
Good knowledge in the fields of:
Loss function and regularizer design, quantization, multi-task learning, knowledge distillation, NN compression
CNN/DNN hardware acceleration
In-depth understanding of the implication of architectural model design decisions
(3D) Object Detection, Segmentation, Depth Estimation

Responsibilities

As a member of Recogni's system software team, you will be responsible for implementing the software that runs inside 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

Desired Qualifications

B.S. in Computer Science, Engineering, Mathematics, or equivalent experience (Any more is a )
Experience with OpenCV, PCL or other computer-vision libraries
Experience with hardware and software components of perception systems (Radar, LiDAR, and/or Camera)
Knowledge of AI/ML concepts and algorithms

About Recogni

Recogni’s mission is to design a vision-oriented artificial intelligence system for autonomous vehicles from the ground up. The system will deliver unprecedented inference performance through novel edge processing, allowing vehicles to see farther and make driving decisions faster than humans while consuming minimal amounts of energy. We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Recogni’s enormous potential.

Backed by Celesta Capital, Continental, Robert Bosch, GreatPoint Ventures, Toyota AI Ventures, BMW i Ventures, The Mayfield Fund, and other leading VC partners, the company is headquartered in San Jose, California with additional operations in Munich, Germany. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About the role

As a member of Recogni’s system software team, you will be responsible for implementing the software that runs inside 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.

Responsibilities

The role will require you to work with highly-qualified Software Engineers to gather requirements, perform analysis, and design and deploy scalable software applications. You are expected to have a thorough understanding of technical concepts required for sensor and robotics, backend development for simple web services, infrastructure automation and should be able to navigate and quickly understand complex code and systems. The position demands excellent analytical and problem solving skills, and applicants must be able to communicate clearly and effectively. You should be a person with great technical passion and drive for results.

Required Qualifications

3-5+ years of Systems Software experience; candidates with more years of experience are encouraged to apply and may be considered for higher level roles
Experience with developing Linux Device Drivers
Experience working under Linux Embedded environments
Experience in Sensor and robotics development: Motor drivers / sensors data reading / writing, camera calibration etc.
Experience with version control software (Git, GitHub)
PCIe drivers, Device Tree, Yocto / BitBake etc.
Strong scripting and debugging skills using shell scripts, Python
Implementing various development, testing, automation tools, and IT infrastructure
Familiar with/fluent in the latest versions of any of the following tech stack (ordered by relevance):
- C/C++
- PCIe drivers, Device Tree, Yocto / BitBake
- TensorFlow, Python, Git(Hub/Lab)
Good knowledge in the fields of:
- Loss function and regularizer design, quantization, multi-task learning, knowledge distillation, NN compression
- CNN/DNN hardware acceleration
- In-depth understanding of the implication of architectural model design decisions
- (3D) Object Detection, Segmentation, Depth Estimation
B.S. in Computer Science, Engineering, Mathematics, or equivalent experience (Any more is a bonus)

Nice to Have

Experience with OpenCV, PCL or other computer-vision libraries
Experience with hardware and software components of perception systems (Radar, LiDAR, and/or Camera)
Knowledge of AI/ML concepts and algorithms

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.