The posting names an ADAS Feature Engineer role in Tokyo and references self-driving cars, but gives no specific duties or qualifications.
As a Quality Assurance Architect, you will own the entire QA ecosystem, spanning test strategy, automation, and quality governance across agile teams.
Develop and maintain TypeScript/JavaScript ETL pipelines and web-scraping tools for Moneytree LINK, adding financial institutions and resolving aggregation issues.
Develop and operate data platforms for publishing-distribution systems, designing system renewals and extending platforms for new customers and initiatives with Python, TypeScript, and GCP.
Responsible for overseeing operations and ensuring efficiency in the software business.
Join the Sakana AI RSI Lab to discover new laws of machine intelligence and build systems for high-dimensional search pipelines.
Advise financial institutions on DX strategy, system concepts and proposals. Support upstream development and new-service planning using AI, data and cloud.
Develop and implement AI tools and solutions to enhance operational efficiency across products.
Lead development of an AI-native SaaS platform by designing and implementing LLM applications and AI Agents, strengthening reliability and security, and guiding AI projects and teams.
Implement player controls and gameplay mechanics in C++ using physics engines, rapidly prototype and refine interactions, and collaborate with programmers, designers, and artists onsite in Tokyo.
Lead manufacturing DX system deals from opportunity creation through closing. Manage pipeline progress, proposals and negotiations, while reviewing deals and coaching members.
Develop and improve Android apps for health and nutrition services. Analyze user behavior, define features, improve app experiences, review code, test releases, and maintain mobile CI/CD.
Drive autonomous-driving programs across ML, vehicle, embedded, data, simulation, safety, and operations teams, from PoC to real-vehicle validation and Level 4 taxi commercialization.
Define customer and business needs for an AI compliance product, lead requirements and prioritization, and drive delivery, release improvements, and KPI monitoring.
Lead technical decisions and build a robust technical foundation for product development, ensuring high-quality delivery.
Manage and enhance the engineering organization, focusing on sustainable scaling and strategic execution.
Design and deploy WES solutions from requirements and operational analysis through system design, testing, and on-site implementation, integrating logistics robots and AGVs.
Build and deploy generative-AI systems for client operations, from business analysis and LLM/RAG use-case design to integration, production rollout, governance, and continuous improvement.
Develop a Kubernetes-based KaaS platform by designing, building, and testing cluster management, container, multi-tenant, network, storage, and security functions.
Manage QA engineers across AI SaaS products, shaping the quality organization, coaching members, planning QA involvement, and contributing to system testing and automation.
Design, develop, and operate web backend services and databases for a shared API platform.
Engage in various data-related tasks to address client challenges through data-driven approaches.
Designs, develops, integrates, tests, and maintains ground segment systems for missions. The role develops automation, supports CI/CD and mission rehearsals, and participates in on-console operations.