--- title: 'Staff Software Engineer (TLM), Field Response at Waymo' canonical: 'https://feeny.ai/job/staff-software-engineer-tlm-field-response-waymo-tokyo-6rz0a9a137px' type: 'job' last_seen: '2026-09-09' --- # Staff Software Engineer (TLM), Field Response at Waymo - **Company:** Waymo - **Location:** Tokyo, Japan - **Posted:** 2026-07-20 - **Last confirmed live:** 2026-09-09 - **Apply:** https://careers.withwaymo.com/jobs?gh_jid=8067489 ## Job description Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Field Response Team protects Waymo's operations by detecting, mitigating, and preventing real-world autonomous driving issues before they have a significant impact. The team is involved across the entire issue-identification and resolution lifecycle. As we expand our operations to Tokyo, we are building out local expertise to navigate region-specific driving environments and support our global 24/7 deployment cycle. You will: - Develop systems to detect issues in the field not only specific to the Japanese driving environment but across all of Waymo’s international markets. - Hire, mentor, and lead a small team of software engineers, fostering a culture of high ownership, technical excellence, and rapid execution. - Build systems and tools to help monitor the fleet as Waymo continues to scale including new software roll outs, new geos and new platforms. - Partner closely with Data Science, Onboard Software, Mapping, and other engineering teams to identify system bottlenecks and design end-to-end technical solutions. - Lead strategic investments to improve the quality of existing diagnostic signals, ensuring they scale seamlessly across all of Waymo's geographies and Operational Design Domains (ODDs). You have: - BS or MS in Computer Science, Computer Engineering, or a related technical field of study. - 5-7+ years of hands-on software development experience building highly scalable, reliable, and performant systems. - 1-2+ years of experience directly managing and mentoring software engineering teams. - Strong system design capabilities and fluent coding skills in C++, Python, and SQL. - Proven ability to tackle highly open-ended technical and system design challenges with a structured, first-principles approach. - Growth mindset, eagerness to learn, and a genuine excitement for the future of autonomous driving. - Professional or native-level fluency in both Japanese and English to seamlessly bridge communication across international markets. We prefer: - Deep familiarity with driving dynamics, local infrastructure, and road environments in Japan (specifically Tokyo), with an intuitive understanding of local traffic etiquette and pedestrian behavior. - Prior experience in mapping, localization, geospatial engineering, or high-volume data pipelines within the autonomous vehicle, robotics, or geographic information systems (GIS) industries ## About Waymo ## Company Overview - **One-liner**: Waymo is an autonomous driving technology company that develops and operates the Waymo Driver, a self-driving system used for ride-hailing and trucking, with a mission to be the world’s most trusted driver. - **Entity Type**: Private (subsidiary of Alphabet Inc., the parent company of Google) - **Headquarters**: Mountain View, California, USA - **Founded**: 2009 (as the Google self-driving car project); became an independent company under Alphabet in 2016 - **Founders**: The project was initiated by Sebastian Thrun (Google X), with key early contributions from Anthony Levandowski and others. Current leadership is Co-CEOs Tekedra Mawakana and Dmitri Dolgov, and Chief Safety Officer Mauricio Peña. ## Core Business - **Primary industry/industries**: Autonomous vehicles, self-driving technology, ride-hailing, autonomous trucking, mobility-as-a-service - **Target customers**: B2C (riders via Waymo One), B2B (fleet operators, logistics companies, and partners), and enterprise (autonomous trucking and delivery) - **Mission or purpose statement**: “To be the world’s most trusted driver.” Waymo aims to save lives, drive inclusive mobility, and improve the state of the planet by making transportation safer, more accessible, and sustainable. ## Products & Services - **Waymo One**: The world’s first commercial autonomous ride-hailing service. Offers fully driverless rides to the public in Metro Phoenix, San Francisco, and Los Angeles. The fleet is now all-electric (Jaguar I-PACE). - **Waymo Via**: Autonomous trucking and logistics service for freight movement, operating with partners to move goods on highways. - **Waymo Driver**: The company’s core autonomous driving system (software + hardware stack). It is designed to be integrated into various vehicle platforms for ride-hailing, trucking, and delivery. - **Waymo Open Dataset**: A publicly available dataset of autonomous driving sensor data, provided to researchers to accelerate breakthroughs in the field. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (as a private subsidiary of Alphabet). Alphabet’s market cap is ~$2 trillion (as of mid-2025). Waymo is considered Alphabet’s most valuable “Other Bet.” - **Key Metric**: Over 20 million rider-only (fully autonomous) rides served as of early 2025. 94% fewer serious injury crashes compared to human drivers over the same distance in operating cities. - **Notable Investors/Partners**: Alphabet Inc. (parent company). Partners include Jaguar Land Rover (vehicle supply), Daimler Trucks (trucking), and various fleet operators and delivery services. - **Growth Signals**: Rapid geographic expansion (largest fully autonomous service area in the world at 180 sq miles in Phoenix); transition to an all-electric fleet; expansion into Los Angeles and San Francisco; growing public trust (93% rider satisfaction rate); continuous hiring across engineering, operations, and AI. ## Competitive Advantages - **First-mover & scale**: Waymo is the only company operating a fully autonomous, commercial, paid ride-hailing service across multiple major US cities, with millions of real-world miles driven without a human safety driver. - **Deep Alphabet backing**: Access to vast resources, AI talent (DeepMind/Google Brain), and infrastructure (Google Maps, Cloud, AI chips). - **Safety track record**: Publicly released data showing a 82-94% reduction in injury-causing crashes compared to human drivers, building regulatory and public trust. - **Full-stack approach**: In-house development of hardware (LIDAR, cameras, radar), software (perception, planning, simulation), and operations (fleet management, rider experience). ## Strategic Focus - **Scaling safely**: Expanding service areas (adding more cities and suburbs) while maintaining a strong safety record. - **All-electric fleet**: Transitioning the entire Waymo One fleet to zero-emission vehicles (Jaguar I-PACE) to align with sustainability goals. - **Trucking & logistics**: Growing Waymo Via to capture the massive autonomous trucking market, partnering with OEMs and shippers. - **AI & simulation**: Using advanced AI (including large models and generative AI) to improve the Waymo Driver’s decision-making and simulation-based validation. - **Accessibility & inclusive mobility**: Designing for riders with disabilities, older adults, and underserved communities to ensure transportation is available to all. ## Why Work Here - **Impact**: Work on technology that directly saves lives (1.4M traffic deaths globally each year) and reshapes the future of transportation. - **Culture**: Waymo describes itself as a place for “ambitious thinkers and relentless problem solvers” with a deep respect for getting every detail right. Values include safety, innovation, and responsibility. - **Teams**: Opportunities across Software Engineering, Hardware Engineering, AI Foundations, Product & Design, Operations & Supply Chain, Safety, Policy, and General & Administrative roles. - **Internships**: Strong early-career program with internships for Bachelors, Masters, MBA, and PhD candidates, often leading to full-time offers. - **Hiring process**: Transparent and structured. Includes an initial recruiter screen, 1-2 phone/video interviews, and a virtual onsite (up to 5 interviews). Emphasizes problem-solving, collaboration, and real-time thinking. AI tools are not permitted during technical assessments to ensure fair evaluation. - **Remote/hybrid policy**: The careers page lists both on-site and remote roles, with most engineering and operations roles based in Mountain View, San Francisco, or other US locations. - **Benefits**: Top-notch benefits, unique learning opportunities, thoughtful community engagement, and meaningful gatherings. Specific perks are not detailed publicly but are described as comprehensive. ## Sources 1. [Waymo.com](https://waymo.com/) – Official company website (mission, history, safety data) 2. [Waymo About Page](https://waymo.com/about/) – Company history, leadership, and milestones 3. [Waymo Careers Page](https://careers.withwaymo.com/) – Culture, teams, hiring process, benefits 4. [Waymo Open Roles](https://careers.withwaymo.com/jobs/search) – Current job listings and departments 5. [Waymo How We Hire](https://careers.withwaymo.com/how-we-hire) – Interview process, tips, and accessibility ## Other roles at Waymo - [Head of Industrial Design](https://feeny.ai/job/head-of-industrial-design-waymo-mountain-view-vk8ad76d3jkj) — Mountain View, CA - [Research Scientist, Map Scalability](https://feeny.ai/job/research-scientist-map-scalability-waymo-mountain-view-f5c3z2jf587x) — Mountain View, CA / San Francisco, CA / New York City NY, United States - [Knowledge and Support Readiness Manager, Waymo Rider Support](https://feeny.ai/job/knowledge-and-support-readiness-manager-waymo-rider-support-waymo-tempe-az-n088b3rmbnhv) — Tempe AZ, United States / San Francisco, CA / Mountain View, CA - [Recruiter](https://feeny.ai/job/recruiter-waymo-mountain-view-8g8xtd394zfg) — Mountain View, CA - [Software Engineer - Data Importer](https://feeny.ai/job/software-engineer-data-importer-waymo-warsaw-vx68rg0vzsgn) — Warsaw, Poland - [Program Manager, Expansion](https://feeny.ai/job/program-manager-expansion-waymo-mountain-view-cdm070nbxzk1) — Mountain View, CA / San Francisco, CA - [Site Reliability Engineer, Lead](https://feeny.ai/job/site-reliability-engineer-lead-waymo-mountain-view-mj822zehcppc) — Mountain View, CA - [2027 Summer Intern, BS/MS, Pipeline and Test Health Engineer](https://feeny.ai/job/2027-summer-intern-bs-ms-pipeline-and-test-health-engineer-waymo-san-francisco-h66szw0kxxc2) — San Francisco, CA - [2027 Summer Intern, MS, Software Engineering, Behavior Test](https://feeny.ai/job/2027-summer-intern-ms-software-engineering-behavior-test-waymo-san-francisco-j9txybpm8ztg) — San Francisco, CA - [Senior Software Engineer, Compute Software](https://feeny.ai/job/senior-software-engineer-compute-software-waymo-bengaluru-91rb2yymwvvm) — Bengaluru, India