Embedded Software Engineer (AI / AGV / UAV)

FOZ One Sdn Bhd; Kulai; On-site; MYR 90,000 - 120,000; Full time

Job summary

A leading technology company in Malaysia is seeking an Embedded Software Engineer specializing in AI and autonomous vehicle systems. The role involves designing and developing embedded systems, implementing AI-driven perception, and working on AGV and UAV applications. Candidates should have a strong background in C/C++ and Python, along with at least 4 years of industry experience. This position offers the opportunity to work in a dynamic environment that encourages learning and innovation.

Benefits

State-of-the-art facilities

Gym access

Collaborative workspaces

Qualifications

• Strong proficiency in C/C++ and Python required.
• Minimum of 4 years of relevant industry experience or advanced degree.
• Experience with hardware interfaces such as I2C, SPI, and CAN bus.

Responsibilities

• Design, develop, and test embedded systems through full lifecycle.
• Implement AI-driven perception systems and develop deep learning models.
• Deliver navigation and autonomy stacks for AGVs and UAVs.

Skills

C/C++ proficiency

Python proficiency

Communication skills

Systems thinking

Learning mindset

Education

Bachelor's, Master's, or PhD in relevant field

Tools

ROS 2

PX4

ArduPilot

Job description

Embedded Software Engineer (AI/ AGV/ UAV)

FOZ One is a company dedicated to transforming ideas into life, empowering businesses worldwide. We offer state-of-the-art facilities at our vibrant HQ, featuring a rooftop commune, gym, and innovative spaces designed for collaboration and wellness. Join us to be part of FOZ One's branding transformation and immersive digital experiences, and thrive in a dynamic environment that values learning, growth, and cutting-edge innovation.

About the Role

This role requires an interdisciplinary engineer(s) responsible for building, integrating, and deploying autonomy software across Automated Guided Vehicle (AGV) & Unmanned Aerial Vehicle (UAV) platforms, with a strong emphasis on Artificial Intelligence (AI)-driven perception, decision-making, and internal tooling. You’ll combine perception, control, planning, simulation, and systems engineering to deliver safe, scalable autonomous systems and internal AI tools.

Job Description

• Embedded Software Engineer:
  • Design, develop, and test embedded systems through full lifecycle: requirement analysis, architecture, design, coding, and testing.
  • Configure and integrate sensor devices over I2C, SPI, UART with DMA for real-time data acquisition.
  • Implement and optimize RTOS-based applications for resource-constrained environments.
• AI:
  • Design AI-driven perception systems including sensor fusion, 3D perception, and object detection/tracking.
  • Develop and optimize deep learning models for robotics applications on edge devices.
  • Build internal GenAI/LLM tooling: RAG systems, code assistants, synthetic data pipelines, and experiment tracking.
• AGV:
  • Deliver navigation and autonomy stacks for ground vehicles in structured and unstructured environments.
  • Implement SLAM, localization, obstacle avoidance, and motion planning systems.
  • Integrate perception sensors with ROS 2-based navigation and industrial communication protocols.
• UAV:
  • Implement autonomy and navigation software for aerial platforms using PX4/ArduPilot.
  • Develop flight control algorithms, mission planning, and perception-based obstacle avoidance.
  • Deploy and validate autonomy software through SITL/HITL simulation and onboard compute platforms.

Qualifications & Requirements

• Bachelor's, Master's, or PhD in Robotics, Aerospace Engineering, Electrical/Computer Engineering, Computer Science, Embedded Systems, Artificial Intelligence, Machine Learning, Mechanical Engineering, or a related field.
• Strong C/C++ and Python proficiency (1+ years); MCU/MPU architectures (8-bit, ARM, RISC-V).
• Hardware interfaces: I2C, SPI, UART with DMA, CAN bus, EtherCAT.
• Approximately 4+ years of relevant industry experience or an advanced degree (minimum 1 year for specific technical areas).
• An owner-operator mindset: deliver features end-to-end and iterate based on feedback.
• Highly motivated and self-driven with excellent communication skills (written and verbal) and ability to influence cross-functional teams.
• Strong understanding of software development life cycles and systems thinking.
• While this list represents our ideal tech stack, we don’t expect you to be an expert in everything. If you have a strong foundation in core principles and a passion for learning, we strongly encourage you to apply.