AV Safety Engineering Analytics Engineer
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: California • Missouri • United States
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About the role
- Develop data analytics infrastructure that supports safety assurance analytics addressing internal and external stakeholder needs across the phases of automated vehicle development and deployment, including both real-world and simulation data.
- Develop interactive visualizations in support of enhancing transparency and reduction in barriers to source data interrogation.
- Pilot and define metrics for monitoring of development operations and deployment, and establish sufficiency criteria for launch readiness.
- Identify relevant data for supporting safety monitoring and the development of a reliable supply chain of continuously flowing data from a variety of sources (internal and external) to support safety assurance related activities.
- Develop cloud-based continuous up-time analytics pipelines that manage data from a raw form, through analyses, and into browser based interactive visualizations and periodic reporting artifacts.
- Select appropriate engineering- and physics-based signal processing, sampling, filtering, smoothing etc to prepare raw signals for analyses and/or storage in a down sampled form.
- Integrate and transform data streams to construct physically meaningful representation of vehicle motion, driving context, and intermediate system performance, including reduction of time-series representations to features.
- Apply engineering domain expertise to distinguish erroneous sensor data from real outliers.
- Optimize code for efficiency and package for automated cloud-based execution.
Requirements
- Bachelor’s degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field; or equivalent practical experience
- 5 + years of experience in large scale data analyses of human and/or automated driving performance related data
- 5 + years in ADAS, autonomous vehicles, robotics or related field
- 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
- Proven track record providing large scale and continuous analytics development and deployment
- 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.
Benefits
- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLcloud-based data processingdata analysisdata visualizationdescriptive statisticsexperimental designsampling strategiesCI/CDcontainerization
Soft Skills
communicationcollaborationproblem-solvingproactive attitudeself-improvement