AV Safety Engineering Analytics Simulation Engineer (GPSSC)General Motors • United States
Dieses Stellenangebot ist nicht mehr verfügbar
AV Safety Engineering Analytics Simulation Engineer (GPSSC)
General Motors
- United States
- United States
Über
: 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 supports teams and stakeholders across the company by providing data and analytics capabilities in AV safety related decision making. The team maintains 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 focus is on continuous up‑time proactive analyses and supporting specific investigations.
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 and 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.
Simulation: Demonstrated experience with autonomous vehicle simulation platforms and 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.
Preferred Qualifications
Experience in processing and analysing large‑scale vehicle motion and context related data to characterise driving performance.
Record of involvement in vehicle safety related discourse through conference participation or publications.
Immigration Notice GM does not provide immigration‑related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future.
Equal Employment Opportunity 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.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.