Jobs at Seoul Robotics

Manage monthly, quarterly, and annual accounting close under K-IFRS; prepare journal entries, reconcile accounts, support subsidiary and consolidated reporting, assist with external audits, tax filings, expense reporting, and corporate disclosures. The role also supports IPO preparation, internal controls, and ad hoc accounting initiatives while collaborating with overseas subsidiaries and external accounting firms.

Manage multiple autonomous driving customer projects from planning through deployment, coordinating engineering teams, customers, partners, releases, site visits, proposals, contracts, and commercial activities. The role owns scope, schedules, deliverables, risks, requirements, stakeholder communication, Jira and Confluence tracking, and on-site deployments across Japan and Korea. Success requires strong organization, technical understanding, English communication, proactive problem-solving, and comfort with ambiguity and evolving priorities.

Build and maintain Go backend services, RESTful APIs, event pipelines, real-time fleet-state streaming, PostgreSQL data systems, and operator-facing web applications using TypeScript, React, and Next.js. Develop interactive 3D maps and scenario editors, ensure reliable high-frequency data rendering, maintain observability and automated testing, and own features end to end across backend, frontend, and database layers.

Manage office and facility operations for the Seoul Robotics headquarters, including supplies, purchasing, maintenance vendors, visitors, recurring payments, SaaS accounts, IT assets, and company vehicles. Support employee onboarding and offboarding, contract administration, executive travel reservations, internal events, and general administrative tasks. The role requires strong organization, communication, problem-solving, confidentiality, English comfort, and the ability to prioritize effectively in a fast-paced startup.

Design and maintain Go backend services for autonomous driving operations, including event pipelines, RESTful APIs, real-time fleet-state streaming, PostgreSQL data management, migrations, and system instrumentation. Build resilient, fault-tolerant distributed services that relay commands between operators and the autonomy stack. Collaborate with engineering, QA, and operations teams while improving performance, observability, and reliability.

Seoul Robotics is recruiting 전문연구요원 (Specialized Research Personnel) for its autonomous robotics and AI/ML-focused organization. The posting highlights work in cutting-edge autonomous driving and robotics, an international English-speaking environment, flexible and hybrid work, and potential overseas opportunities. Applicants should contact the company to confirm eligibility and availability based on the enterprise research institute’s hiring capacity.

Build and improve autonomy software for planning, control, and estimation pipelines using Python and C++. Develop production-ready features, investigate issues through logs and simulation, improve reliability and performance, create testing and validation workflows, and participate in design and code reviews. The role involves translating operational needs into technical solutions and progressively owning software components in real-world autonomous vehicle systems.

Design and lead development of scalable, high-performance system software and middleware in Modern C++. Own core infrastructure (process management, resource isolation, runtime stability), implement fault detection and graceful degradation, build data pipeline/streaming for high-bandwidth sensors, profile and optimize CPU/GPU/memory/network, and mentor teams to enforce best practices and system interfaces.

Join the autonomous driving QA team to design and execute automated and manual tests across perception, prediction, planning, and control. Build CI/CD pipelines, expand simulated and real-world test coverage, analyze logs, reproduce defects, and improve QA processes to ensure safety, reliability, and performance of the driving stack.

Lead the design and implementation of high-performance perception architectures for autonomous driving, focusing on multi-sensor data fusion and deep learning optimization while mentoring junior engineers.

Design, implement, and productize high-performance 3D perception pipelines for autonomous systems. Lead multi-sensor fusion, optimize inference and hardware acceleration, mentor engineers, conduct code/design reviews, and collaborate cross-functionally to deliver robust production solutions.