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

About Us

We are a leading AI and robotics company at the forefront of technological innovation, dedicated to creating cutting-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 AI infrastructure, robotics software, and production-grade system integration. Thisis a hands-on engineering role for builders who like turning ambitious ideas into 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.