Note: The job is a remote job and is open to candidates in USA. 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
Benefits
- Open to considering remote work; employees working in remote roles will work primarily offsite (from home).
Company Overview