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Systems Software Integration Engineer - Taiwan

Noda Ai
CompanyNoda Ai
CategoryEngineering
LocationTaiwan
RemoteHybrid
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted27 Jul 2026
Last verified2 Aug 2026
SourceEmployer career page (ashby)
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Description
SYSTEMS SOFTWARE INTEGRATION ENGINEER — TAIWAN Location: Taiwan (Hybrid) Travel: ~20% typical; increases during field exercises and partner engagements in Taiwan Engagement: Full-time or contractor — open to both Citizenship: Must be legally authorized to work in Taiwan. If not a Taiwanese citizen or permanent resident, the candidate must possess valid, independent authorization to work in Taiwan (e.g., a Taiwan Employment Gold Card or an Alien Permanent Resident Certificate (APRC)). Employer sponsorship is not available for this position. ABOUT NODA NODA is a veteran-owned, venture-backed technology company transforming how unmanned systems collaborate in complex, mission-critical environments. As NODA scales across products, partners, and deployment environments, keeping the system coherent in practice — not just on paper — is what separates a platform that works in the field from one that only works in a demo. Our Systems Software Integration Engineers bridge NODA's autonomy orchestration platform with the hardware, protocols, and partner ecosystems our customers bring to the table — cutting through ambiguity on both sides, translating technical findings into actionable decisions, and making sure integration problems get resolved, not just escalated. THE ROLE We are looking for a Systems Software Integration Engineer to be NODA's technical presence on the ground in Taiwan. You will own the integration layer between our autonomy orchestration platform and the vehicle platforms, sensors, and autonomy stacks our Taiwanese partners bring — onboarding new systems, debugging cross-system issues, and representing NODA technically in partner and government engagements. You will be the person who makes NODA's platform actually work with Taiwan's platforms in the field. This is a software engineering role with an integration and liaison mandate. You will work alongside other Taiwan-based engineers and third-party contractors — this is a collaborative effort, not a solo one. You will initially report to the Head of Engineering and transition to the Solutions Engineering team as the Taiwan program matures. The long-term trajectory for the right person is leading NODA's engineering presence in Taiwan. WHAT YOU'LL DO - Build and maintain adapters and translation layers connecting NODA's autonomy orchestration platform to Taiwan partner vehicle platforms, sensors, and third-party autonomy stacks - Own integration testing end-to-end: from bench bring-up to HITL/SITL validation before live field deployment - Debug cross-system issues spanning application software, messaging middleware, networking, embedded Linux, and RF — owning the investigation even when root cause sits below your primary depth - Interface with partner firmware and BSP teams to isolate failures at the hardware/software boundary; you understand embedded Linux and OS constructs well enough to have that conversation credibly - Act as NODA's primary technical interface in Taiwan — with OEMs, government partners, hardware vendors, and field teams — in both English and Mandarin - Characterize system behavior under degraded, intermittent, or contested link conditions relevant to Taiwan's operational environment - Translate partner and field requirements into system constraints the NODA U.S. engineering team can build against; maintain Interface Control Documents and integration contracts - Build observability into integration components — logging, tracing, metrics — and support field exercises that validate NODA's platform in live conditions REQUIRED QUALIFICATIONS - 4–8 years of professional software engineering experience, with meaningful time on systems integration, middleware, drivers, or robotics software - Strong proficiency in C++ and/or Python; production-quality code, not scripting - Working knowledge of embedded Linux and OS constructs — process scheduling, IPC, device architecture — sufficient
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