Connected Vehicle Platform Engineer

Summary

Textron Specialized Vehicles is a global manufacturer of golf cars, utility and personal transportation vehicles, turf-care equipment, and ground support equipment. The Connected Vehicle Platform Engineer will own and develop scalable cloud, IoT, edge-to-cloud, machine learning, and fleet-management infrastructure for autonomous and connected vehicle systems, including telemetry, OTA deployment, monitoring, and cybersecurity.

Responsibilities

• Own the cloud and IoT backbone of the vehicle’s autonomous system, ensuring it is scalable, cost-efficient, and production ready
• Design reliable edge-to-cloud data architectures supporting autonomous system development and fleet operations
• Build data pipelines for Kinesis, S3, Lambda for telemetry ingestion
• Deploy and manage ML infrastructure: SageMaker pipelines, model registry, retraining workflows
• Implement CI/CD and infrastructure as code (Terraform). Enable reliable data flow from vehicle to cloud to training pipeline to OTA deployment
• Develop fleet-management tools supporting remote diagnostics, telemetry, health monitoring, and fleet analytics
• Establish data governance, retention, and security policies for connected vehicle systems
• Support implementation of cybersecurity controls for connected vehicle and OTA infrastructure
• Ensure ML training and deployment pipelines operate efficiently and at scale
• Deploy OTA updates securely and reliably to vehicles and monitor system health, logging, and observability

Skills

• Education: Bachelor's degree in Software or Computer Engineering, Information Technology, or a related field required
• Years of Experience: 2+ years of relevant experience required
• Software Knowledge: Python, C++ or similar programming languages required
• Strong understanding of real-time data pipelines and distributed systems
• Experience designing scalable, secure cloud infrastructure
• Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform)
• Strong debugging and system reliability mindset
• ~10-15% travel as required to support fleet deployments, vehicle connectivity infrastructure, telemetry systems, cloud integration validation, and customer rollouts
• Valid driver's license required
• Experience with autonomous/connected vehicle development
• MQTT and IoT-based communication systems
• Experience with AWS cloud architecture (IoT Greengrass, IoT Core, S3, Kinesis, Lambda, SageMaker)
• MLOps pipelines (model training, deployment, monitoring)
• Containerization (Docker, Kubernetes/EKS)
• Data engineering workflows (ETL pipelines)
• Python or Node based Backend API Frameworks

Qualifications

Must Haves

• Education: Bachelor's degree in Software or Computer Engineering, Information Technology, or a related field required
• Years of Experience: 2+ years of relevant experience required
• Software Knowledge: Python, C++ or similar programming languages required
• Strong understanding of real-time data pipelines and distributed systems
• Experience designing scalable, secure cloud infrastructure
• Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform)
• Strong debugging and system reliability mindset
• ~10-15% travel as required to support fleet deployments, vehicle connectivity infrastructure, telemetry systems, cloud integration validation, and customer rollouts
• Valid driver's license required

Nice to Haves

• Experience with autonomous/connected vehicle development
• MQTT and IoT-based communication systems
• Experience with AWS cloud architecture (IoT Greengrass, IoT Core, S3, Kinesis, Lambda, SageMaker)
• MLOps pipelines (model training, deployment, monitoring)
• Containerization (Docker, Kubernetes/EKS)
• Data engineering workflows (ETL pipelines)
• Python or Node based Backend API Frameworks

Benefits

• Open to considering remote work; employees working in remote roles will work primarily offsite (from home).