Search Jobs | Dice.com

10 results (0 new)

Group by company

Connected Vehicle Platform Engineer

Textron, Inc.

Augusta, Georgia • Today

Full-time

Senior Software Engineer - Vehicle Motion Planning & Control

Zendar

Remote or Berkeley, California • Today

Full-time

USD 160,000.00 - 200,000.00 per year

Chief Engineer - Software (Battery Electric Vehicle Software & Controls) - Hybrid

Oshkosh Corporation

Remote or Michigan • Today

Full-time

USD 118,600.00 - 204,000.00 per year

Principal Platform Engineer

Ralliant

Remote • Today

Full-time

USD 148,900.00 - 276,500.00 per year

Cloud Platform Engineer-Customer Delivery

CALIBRE

Remote • Today

Full-time

Cloud Data Platform Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Senior Platform Engineer, Infrastructure

Webflow

Remote • Today

Full-time

USD 212,500.00 - 255,000.00 per year

Senior Platform Engineer, Data & Performance Enablement

CVS Health

Remote or Texas • Today

Full-time

USD 83,430.00 per year

Platform Engineering Manager

ZocDoc

Remote • Today

Full-time

USD 210,000.00 - 270,000.00 per year

Engineering Manager, Service Platform

Instacart

Remote • Today

Full-time

USD 230,000.00 - 242,500.00 per year

Job Details

Skills

Backbone.js
Management
Data Flow
Fleet Management
Analytics
Data Governance
Cyber Security
Machine Learning (ML)
OTA
Computer Engineering
Information Technology
C++
Programming Languages
Real-time
IaaS
Continuous Integration
Continuous Delivery
Terraform
Debugging
Reliability Engineering
MQTT
Communication
Amazon Web Services
Cloud Architecture
IoT
Amazon S3
Amazon Kinesis
Amazon SageMaker
Machine Learning Operations (ML Ops)
Training
Docker
Kubernetes
Data Engineering
Workflow
Extract
Transform
Load
Python
API
Cloud Computing

Backbone.js
Management
Data Flow
Fleet Management
Analytics
Data Governance
Cyber Security
Machine Learning (ML)
OTA
Computer Engineering
Information Technology
C++
Programming Languages
Real-time
IaaS
Continuous Integration
Continuous Delivery
Terraform
Debugging
Reliability Engineering
MQTT
Communication
Amazon Web Services
Cloud Architecture
IoT
Amazon S3
Amazon Kinesis
Amazon SageMaker
Machine Learning Operations (ML Ops)
Training
Docker
Kubernetes
Data Engineering
Workflow
Extract
Transform
Load
Python
API
Cloud Computing

Summary

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets products under several different brands. Its vehicles are found in environments ranging from golf courses to factories, airports to planned communities, and theme parks to hunting preserves.

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.

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.

Additional Requirements:

Required Skills: 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.
Preferred Skills: Experience with autonomoconnected 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.

Travel Requirements:

~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.

Open to considering remote work for this opportunity. Employees who are working in remote roles will work primarily offsite (from home).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL97951
Position Id: 780c186a86d17e4bcae6685dd36e87c6
Posted 9 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Autonomous Systems Engineer

Augusta, Georgia

•

Today

Full-time

Senior Software Engineer - Backend / Cloud Services

Remote

•

Today

About This Role: The Senior Software Engineer (Backend/Cloud Services) provides hands-on technical leadership for the backend systems that support Hunter's AWS-based IoT consumer application. This role owns cloud architecture, leads the design, development, and implementation of AWS Lambda microservices, infrastructure as code, REST APIs consumed by mobile and web applications, event-driven services, database models, telemetry pipelines, and AWS IoT Core device communication. The position acts a

Full-time

USD 120,000.00 - 135,000.00 per year

Software Engineer II - Data Platform

Remote

•

Today

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot mor

Full-time

USD 110,000.00 - 157,000.00 per year

Senior Software Engineer, Autonomous Pilot Integration (R5200)

District of Columbia

•

Today

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit Follow Shield AI on LinkedIn, X, Instagram, and

Full-time

Job Details

Skills

Backbone.js
Management
Data Flow
Fleet Management
Analytics
Data Governance
Cyber Security
Machine Learning (ML)
OTA
Computer Engineering
Information Technology
C++
Programming Languages
Real-time
IaaS
Continuous Integration
Continuous Delivery
Terraform
Debugging
Reliability Engineering
MQTT
Communication
Amazon Web Services
Cloud Architecture
IoT
Amazon S3
Amazon Kinesis
Amazon SageMaker
Machine Learning Operations (ML Ops)
Training
Docker
Kubernetes
Data Engineering
Workflow
Extract
Transform
Load
Python
API
Cloud Computing

Backbone.js
Management
Data Flow
Fleet Management
Analytics
Data Governance
Cyber Security
Machine Learning (ML)
OTA
Computer Engineering
Information Technology
C++
Programming Languages
Real-time
IaaS
Continuous Integration
Continuous Delivery
Terraform
Debugging
Reliability Engineering
MQTT
Communication
Amazon Web Services
Cloud Architecture
IoT
Amazon S3
Amazon Kinesis
Amazon SageMaker
Machine Learning Operations (ML Ops)
Training
Docker
Kubernetes
Data Engineering
Workflow
Extract
Transform
Load
Python
API
Cloud Computing

Summary

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.

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.

Additional Requirements:

Required Skills: 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.
Preferred Skills: Experience with autonomoconnected 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.

Travel Requirements:

~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.

Open to considering remote work for this opportunity. Employees who are working in remote roles will work primarily offsite (from home).

Dice Id: RTL97951
Position Id: 780c186a86d17e4bcae6685dd36e87c6
Posted 9 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Autonomous Systems Engineer

Augusta, Georgia

•

Today

Full-time

Senior Software Engineer - Backend / Cloud Services

Remote

•

Today

Full-time

USD 120,000.00 - 135,000.00 per year

Software Engineer II - Data Platform

Remote

•

Today

Full-time

USD 110,000.00 - 157,000.00 per year

Senior Software Engineer, Autonomous Pilot Integration (R5200)

District of Columbia

•

Today

Full-time