Principal Engineer

5 days ago Be among the first 25 applicants

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like  one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow.

with us.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Toyota is looking for team members who are passionate about technology and interested in joining a collaborative and highly motivated team as a Principal Engineer.

• 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.

• Bachelor’s degree in a relevant field such as Computer Science, Information Technology, Electrical Engineering, or relevant experience. Advanced degrees (Master’s or higher) in these fields or specialized areas like Cloud Computing, Data Science, or AI/ML is preferred.
• 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, Tensor
  
  RT) 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 Dev Sec Ops  principles.
• Ability to lead architecture reviews, mentor engineers, and drive technical consensus across teams.
• Strong cross‑functional collaboration skills, especially with AI/ML, Dev Ops, 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.

• Familiarity with ITIL or other IT service management frameworks is a plus.

• 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…