Navigation Engineer: ML & Signal Processing for Guided Systems

DSO National Laboratories; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

DSO National Laboratories' Guided Systems Division seeks a Navigation Engineer to advance complex navigation systems through state-of-the-art signal processing and ML.

You will analyze algorithms, design and test new methods, and collaborate with system developers to deploy solutions within integrated platforms.

The role offers opportunities to grow technically or into leadership, with a strong emphasis on teamwork and rigorous engineering practices.

Qualifications

• Masters or Bachelor's Degree in Electrical Engineering / Electrical & Computer Engineering / Electrical & Electronic Engineering
• Proficiency with Matlab, C/C++, Python
• Knowledge in Signal Processing
• Experience with wireless communications and machine learning
• Strong analytical and teamwork abilities

Responsibilities

• Survey and analyze state-of-the-art signal processing and machine learning algorithms for use in navigation systems
• Design and implement novel signal processing and machine learning algorithms
• Design and perform tests as a team to evaluate and optimize the performance of developed algorithms
• Collaborate with system developers to implement developed algorithms into operational systems

Skills

Wireless communications

Signal processing

Machine learning

Linear algebra

Fourier transform

Matlab

C/C++

Python

Analytical thinking

Teamwork

Education

Bachelor's / Master's in Electrical Engineering / Electrical & Computer Engineering / Electrical & Electronic Engineering

Tools

Matlab

C/C++

Python

Job description

DSO National Laboratories' Guided Systems Division seeks a Navigation Engineer to advance complex navigation systems through state-of-the-art signal processing and ML.

You will analyze algorithms, design and test new methods, and collaborate with system developers to deploy solutions within integrated platforms.

The role offers opportunities to grow technically or into leadership, with a strong emphasis on teamwork and rigorous engineering practices.