[Remote] Senior Software Engineer, Behavior Validation at General Motors

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous VehiclesIndustries

Requirements

Advanced degree in Computer Science, Mechanical Engineering, Aerospace Engineering, Physics, Data Science, or related fields
4+ years of experience in software engineering; bonus if overlap in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields
Experienced with SQL, Python, and C++ for analyzing large data sets and building production-quality simulation testing products
Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions
Ability to adapt and operate under ambiguity, going from quick code prototypes to long-term plans on brief time horizons
Excellent communication skills, capable of switching between high-level and detailed discussions

Responsibilities

Develop and prototype strategies to benchmark autonomy systems’ performance
Convert validation strategies into production code that executes high quality AV behavior analysis for continuous and scaled software release cycles
Use data analytics to facilitate data driven design, validation, risk analysis, and prioritization decisions
Build tools that scale systems engineering prototyped testing products to additional users like the software release team and Embodied AI
Facilitate cross-team collaboration to establish coding best practices for the Software Validation Organization

Skills

Key technologies and capabilities for this role

Software EngineeringSimulationAutonomous VehiclesAV Behavior AnalysisData AnalyticsPythonC++Validation StrategiesPrototypingSystems EngineeringAI EvaluationADAS

Questions & Answers

Common questions about this position

Is this position remote or hybrid?

This role is categorized as remote, with a hybrid arrangement.

What are the required skills and experience for this role?

Candidates need an advanced degree in Computer Science or related fields, 4+ years of software engineering experience, proficiency with SQL, Python, and C++ for analyzing large data sets and building production-quality simulation testing products, strong analytical thinking, adaptability under ambiguity, and excellent communication skills.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like for this team?

The team operates in a collaborative environment that fosters innovation and excellence, working with engineers to define best practices and push the boundaries of autonomous vehicle testing.

What gives a candidate a competitive edge for this role?

A proven track record of successful software engineering on a safety-critical product, especially with overlap in systems engineering, robotics, or related fields, provides a competitive edge.

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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