AI Embedded Neural Network Algorithm Engineer
General Motors
AI Embedded Neural Network Algorithm Engineer
Job Description
Description
GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
About the Team:
The scene understanding team is responsible for developing and delivering the production solution for perception software stack, which is a fundamental building block in GM's next generation vehicles. We are looking for a an AI Embedded Neural Network Algorithms Engineer!
What will YOU do?
-
Be part of a team responsible for launching Computer Vision features to production level applications in real vehicles.
-
Be responsible for full software development life cycle of Python/C++ image processing applications.
-
Develop neural networks (NN) for various object recognition and classification tasks
-
Perform design, implementation and optimization on these NNs.
-
Perform multiple operations of quantiation, trimming, compiling and other to make the NNs fit the embedded enviroment
-
Collaborate closely with software architects, vehicle system engineering and application engineers across GM worldwide.
-
Develop and test your code on real vehicles
Your Skills & Abilities (Required Qualifications)
-
B.Sc. in Computer Science or Computer Engineering (or related BS in Computer field).
-
Over 6 years of hands on experience. 3 of which in NN development in embedded enviroment.
-
Experience in computer vision algorithms
What Can Give You A Competitive Edge (Preferred Qualifications)
-
M.Sc. in computer science
-
Strong background in neural network productization in embedded environment
-
Background in the vehicles industry
-
Experience in QUALCOMM environment
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Locations
- Herzliya, Tel Aviv District
Salary
250,000 - 400,000 USD / yearly
Source: AI Estimation
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python/C++ image processing applicationsintermediate
- Neural networks (NN) for object recognition and classificationintermediate
- Computer vision algorithmsintermediate
- NN development in embedded environmentintermediate
Required Qualifications
- B.Sc. in Computer Science or Computer Engineering (or related BS in Computer field). (experience)
- Over 6 years of hands on experience. 3 of which in NN development in embedded enviroment. (experience)
- Experience in computer vision algorithms (experience)
Preferred Qualifications
- M.Sc. in computer science (experience)
- Strong background in neural network productization in embedded environment (experience)
- Background in the vehicles industry (experience)
- Experience in QUALCOMM environment (experience)
Responsibilities
- Be part of a team responsible for launching Computer Vision features to production level applications in real vehicles.
- Be responsible for full software development life cycle of Python/C++ image processing applications.
- Develop neural networks (NN) for various object recognition and classification tasks
- Perform design, implementation and optimization on these NNs.
- Perform multiple operations of quantiation, trimming, compiling and other to make the NNs fit the embedded enviroment
- Collaborate closely with software architects, vehicle system engineering and application engineers across GM worldwide.
- Develop and test your code on real vehicles
Benefits
- general: From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Answer 10 quick questions to check your fit for AI Embedded Neural Network Algorithm Engineer @ General Motors.
Related Books and Jobs
AI Embedded Neural Network Algorithm Engineer
General Motors
AI Embedded Neural Network Algorithm Engineer
Job Description
Description
GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
About the Team:
The scene understanding team is responsible for developing and delivering the production solution for perception software stack, which is a fundamental building block in GM's next generation vehicles. We are looking for a an AI Embedded Neural Network Algorithms Engineer!
What will YOU do?
-
Be part of a team responsible for launching Computer Vision features to production level applications in real vehicles.
-
Be responsible for full software development life cycle of Python/C++ image processing applications.
-
Develop neural networks (NN) for various object recognition and classification tasks
-
Perform design, implementation and optimization on these NNs.
-
Perform multiple operations of quantiation, trimming, compiling and other to make the NNs fit the embedded enviroment
-
Collaborate closely with software architects, vehicle system engineering and application engineers across GM worldwide.
-
Develop and test your code on real vehicles
Your Skills & Abilities (Required Qualifications)
-
B.Sc. in Computer Science or Computer Engineering (or related BS in Computer field).
-
Over 6 years of hands on experience. 3 of which in NN development in embedded enviroment.
-
Experience in computer vision algorithms
What Can Give You A Competitive Edge (Preferred Qualifications)
-
M.Sc. in computer science
-
Strong background in neural network productization in embedded environment
-
Background in the vehicles industry
-
Experience in QUALCOMM environment
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Locations
- Herzliya, Tel Aviv District
Salary
250,000 - 400,000 USD / yearly
Source: AI Estimation
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python/C++ image processing applicationsintermediate
- Neural networks (NN) for object recognition and classificationintermediate
- Computer vision algorithmsintermediate
- NN development in embedded environmentintermediate
Required Qualifications
- B.Sc. in Computer Science or Computer Engineering (or related BS in Computer field). (experience)
- Over 6 years of hands on experience. 3 of which in NN development in embedded enviroment. (experience)
- Experience in computer vision algorithms (experience)
Preferred Qualifications
- M.Sc. in computer science (experience)
- Strong background in neural network productization in embedded environment (experience)
- Background in the vehicles industry (experience)
- Experience in QUALCOMM environment (experience)
Responsibilities
- Be part of a team responsible for launching Computer Vision features to production level applications in real vehicles.
- Be responsible for full software development life cycle of Python/C++ image processing applications.
- Develop neural networks (NN) for various object recognition and classification tasks
- Perform design, implementation and optimization on these NNs.
- Perform multiple operations of quantiation, trimming, compiling and other to make the NNs fit the embedded enviroment
- Collaborate closely with software architects, vehicle system engineering and application engineers across GM worldwide.
- Develop and test your code on real vehicles
Benefits
- general: From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Answer 10 quick questions to check your fit for AI Embedded Neural Network Algorithm Engineer @ General Motors.
Related Books and Jobs