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Toyota North America · 3 hours ago

Principal Engineer

Plano, TX

Full-time

Onsite

Senior Level, Lead/Staff

7+ years exp

Toyota North America is a leading brand in the mobility sector, seeking a Principal Engineer to lead strategic initiatives for their North America Server, Storage, and Backup/Recovery environments. This role focuses on developing and managing cloud platform services across various cloud environments while ensuring high availability and security of enterprise storage systems.

Manufacturing

Comp. & Benefits

No H1B

Responsibilities

Define features and technical specifications for self-service infrastructure platforms tailored to edge environments in manufacturing and distribution centers

Architect scalable, secure, and resilient edge platform that supports AI Factory workloads and GPU - accelerated processing

Integrate AI/ML inference pipelines at the edge, leveraging GPU resources for real time decision making and predictive analytics

Design and implement IoT Edge and Kubernetes platforms, to run cloud-native applications at manufacturing plants

Develop Hybrid Cloud blueprints for seamless integration with Public Cloud services, ensuring consistent deployment and observability

Lead cloud migration efforts, pilot emerging platform features, and collaborate with cross-functional teams

Coach engineers on clean coding practices (TDD), conduct code and architecture reviews, and drive technical consensus

Drive innovation in enterprise storage architecture, evolving beyond traditional management to enable scalable, high-performance, and cost-efficient solutions

Lead initiatives to integrate edge-aware storage strategies, GPU-optimized data pipelines, and AI Factory requirements

Architect next-generation backup and recovery frameworks with automation, intelligent tiering, and real-time replication across hybrid environments

Qualification

Edge computing architectureHybrid cloud integrationKubernetesAI/ML workloadsGPU-accelerated workloadsEnterprise storage modernizationClean coding practicesITIL familiarityCloud architecture certificationsKubernetes certificationsCommunication skillsProblem-solving skillsCross-functional collaboration

Required

Bachelor's degree in a relevant field such as Computer Science, Information Technology, Electrical Engineering, or relevant experience

7+ years of experience in infrastructure engineering, with at least 3 years focused on edge computing, hybrid cloud, or AI/ML workloads

Deep understanding of edge computing architectures, IoT protocols, and resource-constrained environments

Hands-on experience with Kubernetes, container orchestration, and cloud-native application design

Proficiency in GPU-accelerated workloads (e.g., CUDA, TensorRT) and AI/ML inference deployment at the edge

Strong knowledge of hybrid cloud platforms and integration patterns

Experience with enterprise storage modernization, including object storage, NVMe, and backup/recovery automation

Proven track record in clean coding practices, including TDD, CI/CD pipelines, and DevSecOps principles

Ability to lead architecture reviews, mentor engineers, and drive technical consensus across teams

Strong cross-functional collaboration skills, especially with AI/ML, DevOps, and manufacturing teams

Excellent communication and documentation skills, with the ability to evangelize technical strategies and best practices

Excellent analytical and problem-solving skills with the ability to manage multiple complex projects simultaneously

Strong communication and interpersonal skills to effectively collaborate with diverse stakeholders across the organization

Preferred

Advanced degrees (Master's or higher) in these fields or specialized areas like Cloud Computing, Data Science, or AI/ML

Familiarity with ITIL or other IT service management frameworks

Experience with AI Factory platforms, federated learning, or edge AI model lifecycle management

Familiarity with industrial protocols (e.g., OPC UA, Modbus) and manufacturing IT environments

Certifications in cloud architecture (e.g., AWS Solutions Architect, Azure Expert) or Kubernetes (CKA/CKAD)

Professional certifications are preferred, including: Cloud architecture certifications (e.g., AWS Solutions Architect, Microsoft Azure Expert), Kubernetes certifications (e.g., Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD))