Software Systems Engineer, Behavior Requirements and Validation at General Motors

Sunnyvale, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous VehiclesIndustries

Requirements

Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields
2+ years of experience 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
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

Define requirements and metrics for validating safe and comfortable autonomous vehicle operations
Analyze and characterize one or multiple autonomous behaviors, influencing software development and launch decisions
Prototype and develop simulation-based and road-based testing strategies that support continuous and scaled software release cycles
Use data analytics to facilitate data driven design, validation, risk analysis, and prioritization decisions
Facilitate cross-team collaboration to define behavioral requirements definition and behavioral validation strategies for new launches

Skills

Key technologies and capabilities for this role

Software ValidationV&V StrategiesAutonomous Vehicle BehaviorSimulation TestingData AnalyticsRequirements DefinitionRisk AnalysisADASAI SystemsPrototypingSystems Engineering

Questions & Answers

Common questions about this position

Is this role remote or hybrid?

This role is categorized as remote, but listed under Hybrid employment type.

What skills and experience are required for this position?

Requirements include an advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields; 2+ years in systems engineering, robotics, systems analysis, data analysis, or statistical analysis; experience with SQL, Python, and C++ for analyzing large data sets; strong analytical thinking; ability to adapt under ambiguity; and excellent communication skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like for this team?

The Autonomous Vehicle organization features a collaborative environment that fosters innovation and excellence, pushing the boundaries of autonomous vehicle testing through cutting-edge simulation technologies and novel iterative development processes.

What gives a candidate a competitive edge for this role?

Competitive edges include experience with robotics, autonomous vehicles, vehicle development, or ADAS development; working with robotics simulation environments; analyzing automotive collision data; and developing dashboards.

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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