General Motors

Principal AV Behavior and AI Safety Engineer – Technical Lead

General Motors

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $227,800 - $349,600 per year

Job Level

Senior

Tech Stack

AWSAzureBigQueryCloudDockerGoogle Cloud PlatformJavaKubernetesNumpyPandasPySparkPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

  • Referencing ISO 8800, ISO 21448 and AV industry best practices, develop the strategy for ensuring safe AI/ML and autonomous system development, deployment and maintenance.
  • Work with software, data science and systems engineering teams to ensure GM safely trains new machine learning models to enable autonomous systems.
  • Ensure continuity of safety as we enhance existing machine learning models to increase performance.
  • Set the safety standard for how we prototype, test and deploy new AI solutions, including Generative AI
  • Set the strategy for testing and validation of data sets and develop an assurance plan.
  • Set the strategy for how we systematically break down operational design domain components and driving behavior components and how these are validated in aggregate and on a per behavior level.
  • Work with data science, systems engineering and software teams to set the strategy for how we establish safety launch targets across vehicle behaviors and in aggregate.
  • Setup an assurance process to validate launch targets have been achieved.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • 7+ years of experience in machine learning, engineering, data science, or a related field
  • 7+ years in autonomous vehicle or robotics development or related field
  • Extensive Experience in Machine Learning & AI Safety: ISO 8800, ISO 21448 and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics.
  • Validation of AI Driven Autonomous Systems: Setting the strategy for E2E validation using techniques appropriate to validate AI models
  • Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
  • Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
  • Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform))
  • Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
  • Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy
  • Proven track record providing technical safety leadership in AI/ML and AV development
  • 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
  • GM offers a variety of health and wellbeing benefit programs.
  • Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningAI safetyautonomous vehicle developmentdata scienceprogrammingPythonRJavaPyTorchTensorFlow
Soft skills
communicationcollaborationproblem-solvingleadershipproactive attitudeteamworkself-improvement