Principal Software Engineer
Coupa Software
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Principal AV Behavior and AI Safety Engineer – Technical Lead
General Motors
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $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
