Senior Engineer - Technology Product Management

Software Engineer

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.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

This position is based out of Toyota North American Headquarters in Plano, TX.

Toyota's Digital Innovations organization is looking for a passionate and highly motivated Software Engineer focused on building AI-enabled products.

The primary responsibility of this role is to build product applications alongside AI — rapidly prototyping, experimenting, and shipping full-stack solutions that solve real business problems. You'll operate as a hands-on product builder: writing the code, shaping the experience, and iterating in tight loops with product, design, and business partners. At the core, you are a strong software engineer who uses AI in nearly everything you do to become an even better one — with real conviction about the role of AI in building products, and the curiosity and persistence to drive work to completion.

Reporting to the Digital Innovations Product Strategy Manager, this role supports the Digital Innovations objective to deliver what matters most to our customers, when, where, and how they want it. By working smarter and faster, we're building a connected, customer-first enterprise that grows sales, drives revenue, and sets the pace for the future of Toyota and Lexus.

• Build and iterate on prototypes and production features across the full stack, using AI tools to move fast — partnering with senior engineers on the path to production
• Use AI as a force multiplier in your own workflow to move faster, experiment more, and turn ideas into working software in days, not months
• Partner closely with product and design to translate ambiguous problems into intuitive, well-crafted user experiences — bringing a builder's eye for what feels right
• Integrate applications with enterprise data sources and APIs, wiring up retrieval, agents, and inference pipelines that work reliably in the real world
• Run experiments, measure what works, and iterate quickly — bringing a hypothesis-driven mindset to everything you build
• Learn the operation before building it — go to where the work happens, partner with domain SMEs and business owners, and ask questions first so you solve the right problem, not just a buildable one
• Build in the quality controls that make AI reliable in production — evaluations and prompt-regression testing, hallucination and output-quality measurement, latency and token-cost management, guardrails, and PII and data handling
• Use AI coding tools (for example, Git Hub Copilot, Codex etc.) as a core part of how you work — and help raise the team's fluency with them as they evolve
• Collaborate with enterprise tech and security partners to move POCs into production environments
• Stay current with the rapidly evolving AI landscape and bring fresh techniques, tools, and patterns into the team's day-to-day work

• By day 30: you've gone to gemba on at least one business problem, mapped the current process with the domain team, and have a working prototype in front of users
• By day 60–90: you ship a demoable build roughly every two weeks against named business problems, with evals and cost/latency instrumented so quality is observable
• You partner with senior engineering and enterprise security to move at least one prototype onto the path to production

• Software engineering…