Woven Planet

Engineer

• Design and build the perception pipeline — owning the full development cycle from initial design through implementation, deployment, and operation
• Design and implement matching and ranking algorithms — applying spatial and temporal reasoning to identify the most relevant content — and continuously refine accuracy through real world feedback
• Design and implement privacy protection mechanisms — evaluating and applying detection and redaction techniques — working closely with the team to meet privacy governance requirements
• Evaluate and integrate content filtering approaches (including detection algorithms if needed) to improve the relevance of delivered content through iterative experimentation
• Drive continuous improvement through real world failure analysis and iteration, collaborate cross-functionally on architecture and integration, and own observability metrics for processing performance, accuracy, and delivery latency

Perception Engineer, Mobility Vision

• Collaborate with teams such as Perception, Control, Simulation, Infrastructure, and Tooling to build unified solutions and realize safer and more secure system-level functionality and performance for AD/ADAS
• Develop features such as lanekeeping, speed management, lane change, lane planning, and others
• Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in-vehicle testing
• You will be part of team which handles advanced research to product development
• You will come to the office 3 days per week per our hybrid work policy, and report to the planning system engineering manager

Motion Planning Engineer, AD/ADAS

Data Scientist

• Come up with data strategies on how to collect, sample, label, handle, and use tons of data from the market, test vehicles, and simulators to improve machine learning model performance of the perception stack for camera images that is deployed to millions of vehicles
• Design and improve the scalable data pipelines and automation for machine learning and performance evaluation
• Analyze large-scale data and identify its characteristics to propose technical solutions for machine learning and performance evaluation
• Lead data-related activities within the team, across the company in collaboration with Toyota group, and enhancing team members' capability for data science

Senior Data Scientist, Perception

Full-stack Engineer

• Architect and extend our next generation core simulation technologies (e.g. world engine, interfaces, scheduler, agent frameworks).
• Drive the integration of core simulation technologies into solutions or workflows, ensuring end user requirements are met.
• Analyze simulation results to identify gaps between simulated and real-world performance. Prioritize improvements in the core simulation and integration software.
• Partner with ADAS autonomy, integration, and release teams to improve validation of ADAS software.
• Help set the team roadmap to support the growing landscape of ADAS customers and data sources.
• Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential.
• Propose and advocate for modern technologies and methodologies that can drive innovation and performance.

Senior Simulation Software Engineer – AD/ADAS

Machine Learning Engineer

• Design and develop scalable LLM-based solutions for human interaction AI systems
• Collect, curate, and prepare datasets for LLM product/services development
• Make technical judgment and architectural decisions while working with cross-functional teams
• Build and optimize ML/LLM pipelines from data ingestion to automated model serving

Machine Learning Engineer, Human Centered AI

Project Manager

• Develop and update the mid/long-term strategy and business plan for the robotics platform business (e.g. target markets and use cases, business models, revenue and KPI targets, P&L/resource plans, roadmaps, etc.)
• Clarify development priorities and requirements, and connect the formulated business strategies and roadmaps to the PdM (Product Management) team
• Monitor development progress while steering the direction of the project through close collaboration with the PdM (Product Management) / Engineering team, monitor business performance after launch, and propose withdrawal or pivots as needed
• Explore corporate customers and Inventors who can co-create and leverage the robot platform, and create future revenue opportunities through solution proposals and the design/execution of alliance schemes
• Formulate Go-to-Market (GTM) and marketing strategies (target markets, channels, pricing strategies, etc.) for the external sales of products/services

Project Manager, Platform Business Development

Operations

• Coordination of construction and event information across the entire Woven City and operational adjustments for facility management
• Formulation and thorough dissemination of Woven City safety rules and on-site regulations
• On-site safety management (conducting safety patrols, corrective guidance, etc.) and executing work risk assessments
• Initial response to accidents, disasters, or facility issues; on-site verification; coordination with relevant departments and report preparation
• Formulation and maintenance of disaster prevention plans and BCPs; execution of evacuation drills and safety awareness promotion in Woven City

Safety Ops Manager, Test Course Operations

Solutions Engineer

• Elicit and structure requirements, challenges, and constraints from Inventors and business customers, and translate them into system requirements
• Design solutions leveraging our own products based on a defined architecture
• Contribute to the design of Robot Platform features, APIs, and data models within the assigned domain based on user requirements
• Drive the design and validation of assigned features in collaboration with the engineering team
• Organize feasibility, risks, and trade-offs from a technical perspective to support customer proposals and decision-making

Solution Architect, Robot Platform, Business & Strategy

Technical Project Manager

• Lead product strategy planning, development promotion, and market launch in the 0→1 and 1→10 phases of products utilizing physical AI technologies (robotics/sensing/edge AI, etc.)
• Lead communication with engineering and stakeholders, to integrate learning data and models into our products (Robot Platform), driving business strategies that improve customer value and competitiveness
• Through market research and customer development activities, narrow down the markets in which our products using robot learning can solve problems across a wide range of fields and formulate business plans for those markets
• Drive end-to-end ownership of product delivery from early discovery through post-launch iteration driving outcomes across all stages while maintaining accountability for timeline, scope, and business impact

Senior Technical Project Manager – Robot Learning, Robot Platform Business & Strategy

• 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.

AI-Driven Release & Triage Tooling Software Engineer

Sales

• Own dealer-channel commercial performance for energy services: pipeline, conversion, revenue, and gross margin
• Build and maintain strong relationships with dealers, acting as the primary commercial point of contact
• Design and refine sales offerings, price structures, and campaign concepts in collaboration with product, finance, and marketing, ensuring they are competitive, profitable, and operationally feasible
• Support dealers in the full sales funnel: lead generation, qualification, quotations, closing, and handover to the Delivery team, including providing guidance on deal structuring and upsell/cross-sell opportunities
• Work closely with the Energy Service Delivery Manager to align commercial promises with delivery capacity, installation constraints, and risk management
• Plan and execute dealer enablement activities (e.g., training, playbooks, FAQs, sales tools) and collect feedback from the field to improve our value proposition and processes
• Monitor and analyze sales performance data, produce regular reporting, and drive corrective actions where needed
• Spend around 10–20% of your time visiting dealers and customer sites to support key opportunities, observe real-world constraints, and strengthen relationships
• Allocate 5–10% of your time to administrative tasks such as documentation, and internal reporting

Energy Service Sales Manager

Infrastructure Engineer

• Own the end-to-end design, deployment, and operation of scalable infrastructure that underpins critical Digital Twin Platform services
• Drive cross-team alignment with internal stakeholders and lead initiatives that enable streamlined onboarding and platform adoption through standardized deployment templates, IAC configurations, and automation
• Proactively surface and resolve infrastructure bottlenecks, leading efforts to troubleshoot complex issues and continuously improve performance, reliability, and cost efficiency
• Shape the platform’s technical direction by assessing new requirements, proposing architectural enhancements, and evangelizing platform knowledge to establish best practices for SaaS infrastructure and developer experience
• Mentor and coach engineers through design reviews, knowledge sharing, and operational best practices, raising the overall bar for infrastructure quality and engineering excellence