AI Embedded Neural Network Algorithm Engineer at General Motors

Herzliya, Tel Aviv District, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

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 environment
Experience in computer vision algorithms

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 quantization, trimming, compiling and other to make the NNs fit the embedded environment
Collaborate closely with software architects, vehicle system engineering and application engineers across GM worldwide
Develop and test your code on real vehicles

Skills

Python

C++

Neural Networks

Computer Vision

Embedded Systems

Quantization

Image Processing

Object Recognition

QUALCOMM

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees

Benefits

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Tuition Reimbursement

Student Loan Assistance

Flexible Work Hours

Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.

Chevrolet Equinox EV recall could harm GM's safety reputation.

Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.

GM leads in board diversity with 55% women directors.

GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.

Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.

Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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