Toyota Connected North America

DevOps Engineer

• Lead initiatives including defining project objectives, developing project schedules, preparing cost estimates, allocating/forecasting resources, and ensuring timely delivery under the direction of Manager/Product Manager.
• Independently write and maintain complex automation scripts, refining readability, maintainability, and efficiency.
• Perform advanced troubleshooting in scripts with multiple integration points.
• Lead or participate in code reviews to improve overall script quality, starting to see constructive feedback.
• Write clean, reusable, and high-quality IaC to solve novel or complex problems and lead advanced IaC reviews, ensuring adherence to best practices and providing guidance during the merge review process.
• Design patterns, practices, and platforms that enable developers to integrate and deliver software components efficiently.
• Build and improve the CI/CD process, ensuring a fully functional software ecosystem.
• Independently manage virtual servers, containers, and orchestration platforms.
• Identify and develop local and cross team / org automation capabilities for products that impact key business SLAs and KPIs.
• Implement security measures to protect data integrity and confidentiality across pipelines.
• Lead the advanced troubleshooting and resolution of complex or novel system issues, including analyzing logs, performance data, and system behavior.
• Define and enforce consistent branching strategies to facilitate parallel development, code isolation, and seamless integration across team(s).
• Regularly review and analyze system performance metrics, proactively identifying and resolving bottlenecks, and implementing solutions to improve speed and responsiveness.
• Handle multi region or multi cloud network management, including zero trust networks and virtual private networks.
• Assist in canary deployments.
• Perform chaos engineering with networking to test resilience.
• Develop and implement strategies for network redundancy and disaster recovery.
• Ensure that network infrastructure can withstand and recover from failures/disasters with minimal impact.
• Lead and facilitate technical discussions, providing insights and recommendations based on DevOps principles.
• Coach more junior DevOps Engineers through targeted feedback and guidance to improve technical skills, overcome challenges, and achieve specific goals.

Senior DevOps Engineer, TechOps

Full-stack Engineer

• Contribute to full software development life cycle.
• Write maintainable, extensible, tested code, while complying with coding standards.
• Produce specifications and determine operational feasibility.
• Continuously integrate and deliver software components into a fully functional software system.
• Facilitate end to end user testing with customers.
• Troubleshoot, debug, and upgrade existing systems.
• Work closely with product owners to shape and deliver features to customers.

Entry Level Software Engineer, Labs

Product Designer

• Write high-quality software using Nodejs, TypeScript, and contribute to an In-Vehicle (embedded systems) Dart/ Flutter codebase, ensuring that code is robust and performant.
• Develop tools and libraries that will enable rapid and scalable In-Vehicle (embedded) software development.
• Produce specifications and determine operational feasibility.
• Continuously integrate and deliver software components into a fully functional software system.
• Be hands-on in following best practices in development and CI/CD methodologies.
• Working daily with Product Owners, Designers and Developers to facilitate effective feature development.
• Feature Discovery: All software engineers are expected to provide a technical perspective during the design discovery process.
• Troubleshoot, debug, and upgrade existing systems.
• Work closely with product owners to shape and deliver features to customers.
• Lead technical innovation efforts to solve technical/business challenges.
• Develop and maintain documentation, best practices, and ethical guidelines for projects.
• Identify and address technical issues in both development and production environments.
• Make recommendations to team on resources to stay up to date with industry trends/developments.

Software Engineer, UX/UI

Engineer

• Design, implement, and maintain build systems.
• Optimize build performance and reliability.
• Collaborate with teams to improve developer experience.
• Troubleshoot and resolve build issues.
• Automate build and deployment processes.
• Ensure build systems are scalable and maintainable.
• Monitor and improve build system performance.
• Work in Toyota Connected Labs to apply big data and cloud intelligence toward mobility experiences.

Senior Build Engineer

Machine Learning Engineer

• Toyota Connected’s Labs team is looking for a Managing Machine Learning Engineer capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results driven, interested in how to apply advanced Machine Learning techniques, would love to work with vehicle telemetry data and video, are deeply technical, highly innovative, and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you.
• Use statistical and machine learning techniques to create scalable solutions for in-vehicle speech and text interactions and perform R&D to drive discovery of new generation products.
• Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation
• Drive engineering and product strategy, vision, and roadmaps working closely with product owners and customers
• Regularly dive into architecture, code, deployments, and operations to model technical excellence for the team
• Manage feature backlogs in partnership with the product owners and key stakeholders
• Define and set standards for engineering rigor and help cultivate an engineering driven culture
• Influence best practices in product management, software development and CI/CD methodologies
• Align technical resourcing to product release plans and material plans; drive programs to completion on time and within budget
• Manage staffing, development, and performance management programs for engineering teams; motivating and developing project and team leaders
• Lead, develop, train, mentor and provide coaching and guidance to engineering staff
• Facilitate team growth by attracting candidates, interviewing, evaluating, and selecting new talent.

Managing Machine Learning Engineer

• Work in a fast-paced Agile Scrum environment to assist in prototyping, designing, and implementing predictive models and algorithms to create real world solutions
• Use statistical, machine learning, and deep learning techniques to create scalable solutions and perform R&D to drive discovery of new generation products
• Execute full modeling life cycle including data cleansing, feature creation and iterative model selection
• Build scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation
• Enjoy experience training/deploying deep learning models
• Experience with LLMs
• You want to make things work. Coming up with creative solutions comes naturally to you and you\'re comfortable being set loose without a lot of direction
• You can easily point to multiple activities and projects that demonstrate how you go above and beyond
• You show a sense of ownership and pride in what you do, and you can make us believe you’ll excel
• You can easily point to multiple activities and projects that demonstrate how you go above and beyond
• You can easily point to multiple activities and projects that demonstrate how you go above and beyond

Senior DevOps Engineer, TechOps

Entry Level Software Engineer, Labs

Software Engineer, UX/UI

Senior Build Engineer

Managing Machine Learning Engineer

Machine Learning Engineer, Entry Level