Senior Systems Engineer (AI Infrastructure) Job in Singapore 2026
A well-funded AI infrastructure company in Singapore is hiring a Senior Systems Engineer (AI Infrastructure) to design and scale core systems powering large-scale search, retrieval, and AI-native applications. This role offers Employment Pass visa sponsorship and relocation support, with total compensation reaching up to USD 300,000 plus meaningful equity.
This opportunity is tailored for senior engineers seeking deep systems-level work at genuine internet scale, operating significant GPU clusters and distributed compute environments within a high-calibre, performance-driven team.
About Role
As a Senior Systems Engineer, you will architect and optimise the foundational infrastructure that enables large-scale data ingestion, distributed crawling, embedding model workflows, and high-performance backend services. This role sits at the intersection of systems engineering, distributed computing, and AI infrastructure. You will focus on performance, reliability, observability, and scalability across compute-intensive workloads, ensuring infrastructure can support evolving AI-native products.
Working within a small and technically elite team, you will operate with high ownership, influence system design decisions, and directly impact platform architecture. This position is ideal for engineers comfortable building production-grade systems that process vast volumes of data under strict latency and reliability constraints.
About Hiring Firm
The hiring organisation is a rapidly growing, well-capitalised AI infrastructure company building large-scale search and retrieval systems for AI-driven applications. Operating across distributed web crawling, embedding model training, and high-performance backend environments, the firm runs workloads across substantial GPU and compute clusters. The engineering culture emphasises technical depth, ownership, and high execution standards.
With a presence in Singapore and global ambitions, the company provides an environment suited to senior engineers who want to work on infrastructure challenges at a meaningful scale while contributing to next-generation AI systems.
Responsibilities
- Design and scale distributed infrastructure supporting AI-native search and retrieval systems
- Architect high-throughput crawling and data ingestion pipelines
- Develop and optimise backend services for performance and reliability
- Build tooling to support ML workflows, embedding systems, and search orchestration
- Implement distributed compute orchestration and observability frameworks
- Improve system efficiency across GPU and compute clusters
- Operate and monitor large-scale production systems in distributed environments
- Contribute to infrastructure strategy and long-term system architecture decisions
Requirements
- 4+ years of experience building distributed or performance-critical systems
- Strong engineering fundamentals in systems programming
- Experience with Rust, C++, or comparable low-level languages
- Proven experience operating production systems at scale
- Deep understanding of distributed systems design and failure modes
- High ownership mindset and ability to work effectively in small, senior teams
- Eligibility for Singapore Employment Pass sponsorship
Click Here to Apply
Conclusion
This Senior Systems Engineer role offers a rare opportunity to build AI infrastructure at internet scale while relocating to Singapore under Employment Pass sponsorship. With compensation up to USD 300k plus equity and exposure to substantial GPU and distributed compute environments, this position is ideal for senior engineers ready to shape the next generation of AI-native systems in a high-impact, technically elite environment.
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