64 Signal Processing jobs in Singapore

We are seeking a highly skilled Electrical Engineer to join our team. The ideal candidate will have expertise in signal processing and wireless communication systems.

The successful candidate will be responsible for designing and developing advanced signal processing algorithms for use in land, maritime, defense, satellite and space applications.

Key Responsibilities:

• Designing and developing signal processing algorithms for wireless communication systems
• Conducting simulations on end-to-end system with various RF impairments and channel fading conditions
• System integration, implementation on FPGA, prototype bring-up, performance characterization and optimization
• Physical layer validation, field testing, debugging and troubleshooting

Requirements:

• Bachelor/Master/PhD in Electrical Engineering or similar field of studies with relevance to Info communication
• Good understanding of wireless communications system, signal processing techniques or RF system
• Experience in simulation tools, programming and scripting languages is a plus
• Thorough, disciplined, methodical, and good documentation habits

Benefits:

• Opportunity to work on exciting, demanding, and rewarding projects
• Chance to learn and grow on the job
• Collaborative and dynamic work environment

Additional Information:

• Excellent written and verbal communications skills
• Able to work independently as well as within a multi-cultural team
• Good analytical and problem-solving skills

Communications And Signal Processing Engineer
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Communications And Signal Processing Engineer
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DSO National Laboratories
Communications And Signal Processing Engineer
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Communications And Signal Processing Engineer
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DSO National Laboratories
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Job Description
DSO National Laboratories (DSO) is Singapore's largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore's national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.
Job Description
DSO National Laboratories (DSO) is Singapore's largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore's national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.
The Electronic Systems Division advances electronic warfare systems with radio frequency and micro-electronics technologies and provides electromagnetic superiority.
People are DSO’s greatest asset. You will get to realise your career aspirations and develop your own niche either as a deep technical expert or a leader in the team. With frequent career dialogues and a robust training and development framework, we will provide you with the necessary development tools for you to reach your potential. You will also be recognised and rewarded through competitive remuneration packages and scholarship opportunities.
Communications and Signal Processing Engineer
In This Role, You Will
Be part of a dynamic team that designs and develops advanced wireless communication systems
Conduct applied research and development in wireless communications, signal processing and wireless protocols
Opportunities for exposure to emerging communications technologies, and communications systems analysis, design and simulation
Job Requirements
PhD / Masters / Bachelor’s Degree in Computer Science / Electrical and Electronics Engineering / Computer Engineering
Experience with programming languages such as C,C++, Python and MATLAB
Background in signal processing and wireless communications
Knowledge in communication networks such as cellular and satellite and AI/ML will be advantageous
Motivated individual who is able to work in a fast-paced team-based environment
Strong analytical and problem-solving skills, with the passion to solve complex technical challenges
Seniority level
Seniority level Entry level
Employment type
Employment type Full-time
Job function
Job function Other
Industries Defense and Space Manufacturing
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We are seeking a highly skilled Signal Processing and Machine Learning Engineer to develop innovative signal processing and machine learning algorithms and methods for drone swarms. The successful candidate will focus on visual localization techniques, driving the development of cutting-edge solutions.

Key Responsibilities:

• Design and implement signal processing and machine learning algorithms and methods for drone swarms.
• Conduct empirical studies and software/hardware implementation to validate algorithm performance.
• Publish research findings in reputable academic journals and present at conferences.
• Assist the Principal Investigator in proposal writing and supervise graduate students.

Requirements:

• Masters degree in Electrical Engineering, Computer Science, Statistics, or related field.
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Excellent written and oral communication skills.
• Proficiency in programming languages including Python.
• Interpersonal skills including ability to work independently and manage time effectively.

About Us:

We are a leading institution in the field of Electrical and Electronic Engineering, committed to nurturing competent engineers and researchers. Our team is dedicated to delivering innovative solutions that drive real-world impact.

Robotics Algorithm Engineer Job Description

We are seeking a highly skilled engineer to advance our robotics ecosystem on ARM-based heterogeneous platforms.

This role bridges deep algorithmic expertise with system-level optimization, focusing on perception, localization, and navigation.

You will play a key role in both internal development-enhancing toolchains and APIs for next-generation robotics-and external support, working directly with customers to migrate and optimize their algorithms for commercial deployment.

Responsibilities:

• Lead the selection, implementation, and optimization of perception algorithms (e.g., object recognition, monocular/stereo obstacle avoidance) on ARM SoCs (CPU/GPU/NPU).
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• Evaluate and enhance ROS2-based localization (e.g., SLAM Toolbox, ORB-SLAM3) and navigation (Nav2) frameworks; collaborate with the toolchain team to co-develop NPU acceleration for classical algorithms.
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• Drive heterogeneous computing optimizations within the toolchain, deliver production-grade APIs, and refactor robotics algorithms (localization, mapping, navigation) around these APIs.
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Customer Technical Support:

• Execute algorithm migration and optimization projects for clients, including feasibility analysis and solution delivery.
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• Collaborate closely with customer algorithm teams to support integration and implementation.
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Qualification/Requirements:

• MS/PhD in Computer Science, Electrical Engineering, Robotics, or related field.
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• 3+ years of hands-on experience in algorithm development, with strong proficiency in C++/Python, Linux, and ROS2.
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• Solid understanding of computer vision, SLAM, and motion/path planning algorithms.
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• Proven experience deploying and optimizing algorithms on ARM-based SoCs (CPU/GPU/NPU).
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• Strong problem-solving skills and ability to collaborate effectively across cross-functional teams.
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Preferred Qualifications:

• Experience with TensorRT, ONNX, and NPU operator/kernel development.
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• Expertise in stereo vision depth estimation and multi-sensor fusion.
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• Track record of commercializing and productizing robotics algorithms.
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if you have passion about applying advanced algorithms to real-world robotics challenges, and enjoy working at the intersection of AI, embedded systems, and robotics, this position offers the opportunity to make a strong technical impact.

Key Learning Objectives:

• Understand multimodal AI fundamentals
• Learn data preprocessing for multiple modalities
• Apply machine learning & deep learning concepts
• Develop model evaluation skills
• Understand how algorithm development fits into product pipelines

Intern's Responsibilities:

• Assist in data handling
• Support algorithm development
• Run experiments & document results
• Review relevant literature, summarize findings and propose ideas for improvement
• Ensure code and data management standards

Training and Development:

• Software tools: git for version control
• ML/DL framework: pytorch/tensorflow
• Soft skills: agile project workflow, documentation & reporting, literature (papers/patents) review skills
• Involvement in new stress algo development

Benefits:

• Allowance Provided – Interns will receive a monthly allowance to support their contributions.
• Paid Annual Leave – Applicable to interns who complete more than 3 months of service.
• Supportive Culture – Join a vibrant team environment that champions continuous learning, collaboration, and growth.
• Global Exposure – Gain experience working within a well-established Japanese multinational corporation.
• Supportive Environment – Enjoy guidance from approachable supervisors and camaraderie with friendly high caliber colleagues.

Key Learning Objectives:

• Understand multimodal AI fundamentals
• Learn data preprocessing for multiple modalities
• Apply machine learning & deep learning concepts
• Develop model evaluation skills
• Understand how algorithm development fits into product pipelines

Intern’s Responsibilities:

• Assist in data handling
• Support algorithm development
• Run experiments & document results
• Review relevant literature, summarize findings and propose ideas for improvement
• Ensure code and data management standards

Training and Development:

• Software tools: git for version control
• ML/DL framework: pytorch/tensorflow
• Soft skills: agile project workflow, documentation & reporting, literature (papers/patents) review skills
• Involvement in new stress algo development

Benefits:

• Allowance Provided – Interns will receive a monthly allowance to support their contributions.
• Paid Annual Leave – Applicable to interns who complete more than 3 months of service.
• Supportive Culture – Join a vibrant team environment that champions continuous learning, collaboration, and growth.
• Global Exposure – Gain experience working within a well-established Japanese multinational corporation.
• Supportive Environment – Enjoy guidance from approachable supervisors and camaraderie with friendly high caliber colleagues.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Core Responsibilities

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

Responsibilities

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

Job Summary

We are seeking a skilled Data Analytics Professional to join our team. As a key member of the organization, you will be responsible for developing and maintaining profiling tools to support systematic planning and targeted care delivery.

Your expertise in data analysis and reporting will enable you to consolidate and analyze performance indicators related to population health, ensuring accurate and timely insights.

You will also coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics, handling requests for data and analytics with precision.

In this role, you will contribute to projects addressing clinical, preventative, social, environmental, and behavioural determinants of health, providing administrative and operational support as assigned.

Key Responsibilities:

• Develop, maintain, and improve profiling tools to support systematic planning and targeted care delivery
• Consolidate, analyze, and report on performance indicators related to population health
• Coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics
• Handle requests for data and analytics, ensuring accuracy, timeliness, and relevance

Requirements:

· Bachelor's degree in Mathematics, Public Health, Statistics, or related discipline preferred

· Proficiency in Microsoft Office (Word, Excel, PowerPoint) required; experience with analytics and visualization tools (e.g., Tableau, Power BI) is an advantage