Full-Stack Software Engineer
About this job
Company Overview
Synaptic Delver is a deep technology company advancing neurotechnology, AI, and human–machine systems. We develop scalable platforms to capture and apply cognitive and neural data, combining engineering, neuroscience, and machine learning expertise to build future intelligence systems.
Job Summary
As a Full-Stack Software Engineer, you will build and scale cloud and application layers for a cognitive intelligence platform, processing and visualizing complex neural and cognitive data in near real-time at the intersection of AI, data platforms, and user systems.
Responsibilities
- Build and maintain scalable web applications and APIs to enable data analysis and visualization of cognitive and neural data
- Develop backend systems that process multimodal data including neural, behavioral, and system data for robust platform functionality
- Design and implement cloud infrastructure and data pipelines for both real-time and batch data processing to support platform scalability
- Collaborate cross-functionally with AI/ML, hardware, and product teams to integrate end-to-end cognitive intelligence systems
- Design user dashboards and interfaces that deliver actionable cognitive insights and analytics to end users
- Ensure production systems meet performance, security, and reliability standards for continuous operation
Preferred competencies and qualifications
- Experience developing AI/ML platforms, data visualization tools, or analytics systems to enhance cognitive data interpretation
- Exposure to signal or data-intensive systems such as healthtech, IoT, or sensor networks to support multimodal data handling
- Experience working in startups or fast-paced environments to adapt quickly and contribute to early-stage product development
Market insight
31% below medianExplore related jobs
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The employer lists 3 900 – 4 500 $ for this role at SYNAPTIC DELVER PTE. LTD. in Singapore. For comparison, the local market median is about 6 085 $ based on 26 065 similar offers.
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