Senior Software Engineer - LLM‑Driven Release & Triage Tooling

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.Our work centers on four pillars AD/ADAS our autonomous driving and advanced driver assist technologies Arene our software development platform for software-defined vehicles Woven City a test course for mobility and Cloud & AI the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute and together we’re working toward one bold goal a world with zero accidents and enhanced well-being for all.TEAM Woven by Toyota’s Release & Triage team operationalizes continuous improvement for automated driving by turning on-road signals and incidents into actionable engineering insights.  The Release & Triage Tooling sub-team builds AI- and data-driven internal tools and services that support release qualification large-scale simulation-based testing and high-quality failure analysis partnering closely with Release Triage and core development teams to keep the mainline stable and continuously improving.   WHO ARE WE LOOKING FOR? We’re looking for a mid- to senior-level Software Engineer to design and build internal tooling that uses AI/ML and LLM-based approaches to interpret complex signals from logs metrics test results images and video helping QA and development engineers quickly understand failures identify regressions and make confident release decisions. You will be part of a team that owns end-to-end services and workflows that power release qualification and triage at scale integrating with CI/CD simulation platforms and internal data pipelines while helping establish best practices for responsible and effective use of AI-driven analysis within the team. ➡

RESPONSIBILITIES

➡ Perform root cause analysis of events coming from on-road testing and simulation testing of an automated driving system currently under development. Partner with release engineers triagers and infrastructure teams to understand real-world failure modes identify high-value automation opportunities and iterate on models heuristics and tooling based on feedback and outcomes. Build and maintain tooling that uses AI/ML and LLMs to analyze test and release failures across logs metrics images and video. Design systems that surface meaningful insights root‑cause hypotheses and confidence signals to engineers to support release decisions. Develop tooling that supports release qualification gating and readiness assessment including large-scale simulation-based testing workflows. Integrate AI-based analysis into CI/CD systems test frameworks simulation platforms and internal data pipelines to create seamless end-to-end workflows. Design and implement scalable reliable internal services used by release and triage teams ensuring maintainability observability and performance at scale. Build dashboards and reports that communicate release health risk and trends to stakeholders across Release Triage and development teams. Use AI-assisted coding tools (e.g. GitHub Copilot Cursor Claude Code or similar) to accelerate development refactoring and testing while rigorously validating AI-generated code for correctness security performance and maintainability. Help establish best practices for responsible and effective use of AI code generation and AI-driven analysis within the team. Write clear documentation and usage guidelines so internal users can effectively adopt and extend the tooling you build. MINIMUM QUALIFICATIONS ➡ Bachelor’s degree in Computer Science Engineering or equivalent practical experience. Experience with  3+ years of professional software development experience (mid-level) or 5+ years (senior-level). Strong proficiency in at least one general-purpose programming language (e.g. Python C++ Rust Java Go). Experience building internal tools platforms or infrastructure services used by other engineering or operations teams. Strong debugging and analytical skills especially in complex distributed or data-intensive systems. Familiarity with CI/CD systems and release-adjacent workflows including integration with test frameworks and data pipelines. Experience applying AI/ML or LLMs to real-world software systems ideally in tooling or infrastructure contexts. Hands-on experience using AI-assisted code generation tools in a professional environment including defining review practices. NICE TO HAVES ➡ Experience working with multimodal data (text logs structured data images video) and building systems that interpret complex signals. Familiarity with model evaluation confidence scoring and/or explainability techniques for AI-driven analysis. Experience with simulation-based testing CI/CD or release engineering workflows in safety-critical or high-reliability domains (e.g. automotive robotics aerospace medical). Experience with triage tooling incident review and data visualization for operational dashboards. ➡ The base pay for this position ranges from $ 115500 - $ 189750 a year.Your base salary is one part of your total compensation.

We offer

a base salary short term and long term incentives and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills experience qualifications location and level.WHAT WE OFFERWe are committed to creating a modern work environment that supports our employees and their loved ones.

We offer

many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health wellness dental and vision coverage・A rewarding 401k program・Flexible vacation policy・Family planning and care benefitsOur Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.