Partner Integration Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Partner Integration Engineer (AI): Building and optimizing the interface between 's AI systems and OEM partners with an accent on cross-cloud integrations and API development. Focus on resolving complex production issues, developing monitoring tools, and managing technical partner relationships autonomously.
Location: Hybrid (Yokohama/Tokyo, Japan)
Company
is a leading developer of Embodied AI technology creating mapless and hardware-agnostic autonomous driving systems for automakers.
What you will do
- Develop software at the interface of OEM and systems, including APIs and cross-cloud integrations.
- Collaborate directly with OEM partners to understand their needs and build impactful solutions.
- Triage and resolve technical issues reported by customers or detected via internal monitoring.
- Create monitoring and alerting tools to proactively detect and resolve integration issues.
- Participate in a follow-the-sun 24/7 on-call rotation to provide global coverage.
- Act as the primary technical point of contact for partners during UK off-hours, managing complex issues independently.
Requirements
- Experience in customer-facing technical roles such as solutions engineering, integration engineering, or technical support.
- Strong backend engineering skills, specifically with Java and Python.
- Operational experience with Cloud Infrastructure, preferably Azure.
- Fluency in both Japanese and English is essential and non-negotiable.
- Proven ability to manage complex partner relationships autonomously in ambiguous environments.
- Experience supporting production systems or participating in on-call rotations.
Nice to have
- Experience building APIs for external users.
- Frontend development experience.
- Background in the automotive or mobility industry.
- Experience with SRE, DevOps, or cloud operations.
- Knowledge of building or operating monitoring and observability tooling.
Culture & Benefits
- Direct involvement in the commercial frontier of autonomous vehicle deployment.
- High degree of autonomy and ownership within a small, elite team.
- Hybrid working policy combining office collaboration with work-from-home flexibility.
- Flexible schedule based on core working hours.
- Competitive compensation and an inclusive, diverse work environment.
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