全职 AI - Robotics Systems Engineer 工作, 薪水 up to SGD 10,000, DCONSTRUCT ROBOTICS PTE. LTD. 公司招聘中 - Ricebowl

About Us

We are a leading AI and roboticscompany at the forefront of technological innovation, dedicated to creatingcutting-edge solutions that revolutionize industries. As we continue to grow,we are seeking talented Software Engineers to join our team.

Job Description

We’re looking for an AI &Robotics Systems Engineer who thrives in fast-moving startup environments,enjoys solving hard systems problems, and is comfortable working across AIinfrastructure, robotics software, and production-grade system integration. Thisis a hands-on engineering role for builders who like turning ambitious ideasinto working systems.

What you will do

• Design and build core software systems powering AI and robotics products.
• Develop production-grade infrastructure for AI workloads, including LLM-powered applications, inference services, RAG pipelines, and data workflows.
• Build distributed services and real-time communication layers that connect AI systems, robotics platforms, and edge/cloud infrastructure.
• Develop high-performance software components where latency, reliability, and efficiency matter.
• Integrate software across robotics, AI, and platform layers - including communication, orchestration, and runtime services.
• Work closely with AI engineers, robotics engineers, and product teams to translate system requirements into working production systems.
• Diagnose, optimize, and improve system performance across computer, networking, and runtime bottlenecks.
• Help shape architecture, engineering standards, and technical direction as we scale.

What you will bring

• Strong software engineering fundamentals in data structures, algorithms, concurrency, and systems design.
• Strong production experience in Golang and C++, with confidence building performance-sensitive systems.
• Experience building distributed systems or real-time production software.
• Experience working with AI systems, including one or more of:
• LLM applications
• RAG pipelines
• model inference services
• vector search / retrieval systems
• AI orchestration workflows
• Strong understanding of communication and integration protocols such as:
• gRPC
• REST
• MQTT
• real-time messaging / streaming systems
• Experience with containerized deployments (Docker) and modern deployment workflows.
• Strong debugging and performance optimization skills.
• Comfortable operating in ambiguity and building in fast-changing startup environments.
• Ability to move from architecture discussion to shipping production code.