General Motors

AV Safety Engineering Analytics Simulation Engineer (GPSSC)

General Motors$100K — $130K *
US-AnywhereRemote in United States
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or similar field, or equivalent experience
  • 5+ years in simulation for vehicle development and validation
  • 5+ years in autonomous vehicles, robotics or a related field
  • Demonstrated expertise with autonomous vehicle simulation platforms and scenario development
  • Extensive cloud experience, including serverless functions and containerization
  • Familiarity with statistics, experimental design, and data bias management
  • Proficiency in data visualization tools like Tableau, PowerBI, and programming languages like Python and SQL.

Responsibilities

  • Develop data analytics infrastructure to support safety assurance and address stakeholder needs
  • Configure custom observers to evaluate simulation criteria
  • Create explainable methods for validating automated driving systems' safety
  • Develop metrics for monitoring development and deployment readiness
  • Ensure simulation coverage for various driving scenarios
  • Analyze simulation results to identify gaps with real-world performance
  • Leverage internal and external data sources for safety monitoring and assurance activities.

Benefits

  • Participation in a company vehicle evaluation program after a motor vehicle report review
  • Support for well-being at work and home initiatives
  • Access to Total Rewards resources for career support
  • A culture that fosters inclusion and belonging in the workplace.
Full Job Description
Job Description

Work arrangement: Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum.

The AV Safety Engineering Analytics team is seeking an Engineer with capabilities at the intersection of vehicle engineering, data science, cloud processing and scaled vehicle simulation.

The Role

The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations.

If you're passionate about the benefits of autonomous vehicle technology, committed to advancing safety through innovation, and love channeling big data into clear guidance, these roles offer exciting opportunities to make a meaningful impact on the future of transportation safety in a dynamic and fun environment.

As part of the AV Safety Engineering Analytics team, you will work closely with cross-functional partners and internal customers to prototype, define, and productionize performance metrics that run in both the simulation environment and real-world. You will contribute to the Verification and Validation of automated driving systems. You will engage deeply with stakeholders to understand their challenges and needs, collaborate to develop solutions.

What You'll Do
  • Contribute to the development of data analytics infrastructure that supports safety assurance analytics, bridging simulation and on-road, addressing internal and external stakeholder needs across the phases of automated vehicle development and deployment, including both real-world and simulation data.
  • Add and configure custom observers to evaluate simulation pass/fail criteria
  • Apply your engineering background and simulation experience to developing trustworthy and explainable methods for validating the safety performance of automated driving systems.
  • Pilot and develop metrics for application in simulation and on-road for monitoring of development operations and deployment, and to establish sufficiency criteria for launch readiness.
  • Collaborate with systems, safety, testing, and autonomy engineering teams to ensure simulation coverage of common and rare driving scenarios and ODD elements
  • Review simulation results to identify gaps between simulated an real-world performance
  • Develop methods for leveraging a variety of internal and external data sources for safety monitoring and contribute to the development of a reliable supply chain of continuously flowing data from a variety of sources (internal, external, simulation-based, on-road) to support safety assurance related activities.
  • Drive the integration of simulation technologies into solutions or workflows, ensuring end user requirements are met.
  • Implement cloud-based continuous up-time analytics solutions for monitoring driving simulated and real-world performance for safety and generating browser based interactive visualizations and periodic reporting artifacts.
  • Actively contribute to ensuring the performance testing and validation performed in simulation is representative of real-world performance, and leads efficiently to deployment of trustworthy automated driving systems.
  • Identify and drive opportunities to improve the efficiency, quality and transparency of safety analytics within GPSSC and across GM.


Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field; or equivalent practical experience
  • 5+ years of experience working in a field that employs simulation for vehicle development and validation
  • 5+ years in autonomous vehicles, robotics or related field
  • Experience in the following:
    • Simulation: Demonstrated experience with autonomous vehicle simulation platforms, scenario development,
    • Programming & Frameworks: Python, SQL
    • Cloud & Big Data: Extensive experience in cloud-based large scale process including notifications, queuing, serverless cloud functions, event driven processing, code as infrastructure, containerization, process monitoring, process optimization, identity and access management, service to service access, etc.
    • Statistics: Working familiarity with descriptive statistics, managing bias in large data mining activities, experimental design, sampling strategies.
    • Dev Ops and Infrastructure as Code: CI/CD, versioning, Docker & Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform
    • Data Analysis & Visualization: Tableau, PowerBI, Plotly/Dash, Shiny, Pandas, NumPy
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment
  • Strong problem-solving mindset and a proactive attitude towards learning and self-improvement


What Will Give You A Competitive Edge (Preferred qualifications)
  • Experience in processing and analyses of large-scale vehicle motion and context related data to characterize driving performance
  • Record of involvement in vehicle safety related discourse through conference participation or publications.


"Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies."

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

#LI-SA2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.The selected candidate will be required to travel

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

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