• Design, develop, and maintain software for SDR and RF systems, including real-time signal acquisition and processing pipelines. • Implement and optimize DSP algorithms (e.g., filtering, detection, estimation, spectral analysis, synchronization) for embedded and low-latency environments. • Develop firmware for microcontrollers and embedded processors, including peripheral drivers and communication interfaces (SPI, I2C, UART, CAN, Ethernet, etc.). • Design and implement sensor fusion and state estimation algorithms for multi-sensor systems operating in real time. • Collaborate closely with hardware and FPGA engineers to define system interfaces, partition functionality across hardware/software boundaries, and optimize overall system performance. • Support integration and testing of SDR platforms, including I/Q data handling and streaming architectures. • Contribute to architectural decisions that bridge traditional DSP and controls-based methods with emerging ML-enabled approaches. • Perform profiling, debugging, and performance optimization of embedded systems to ensure deterministic, reliable operation. • Mentor junior engineers through code reviews, technical guidance, and collaborative problem solving. • Document system design, interfaces, and technical decisions for internal stakeholders.

• Design and build scalable geospatial data pipelines from curated data. • Develop and operationalize spatial-temporal analytics, including movement characterization, clustering, and advanced spatial transformations. • Translate complex geospatial workflows into reliable, low-latency APIs that power web-based analytical tools. • Build and maintain interactive, map-based applications for analysts exploring sensor-derived, spatial-temporal data. • Deploy and operate services in a cloud-native environment using containerized infrastructure. • Collaborate with data scientists and domain experts to operationalize advanced analytics into robust systems. • Take ownership of features from backend ingestion through to front-end visualization in an applied research environment.

• Technical oversight, providing expert-level knowledge while taking an active part in the team tasks • Monitor the overall development life-cycle, from design/planning to implementation and support to maintain a high standard of software quality • Work closely alongside our CEO and US-based team leads • Build highly scalable APIs that are deployed via CI/CD pipelines • Recruit and train new team members for the APAC region, hold accountability for their performance • Uphold MeetKai code standards and quality, introduce new tools that help achieve optimal results

• Develop and maintain scalable web applications using modern full-stack technologies • Work with product and design teams to implement user-facing features • Optimize application performance, SEO, and ad delivery • Integrate third-party APIs (e.g., Google Ads, AdSense) • Collaborate through code reviews, stand-ups, and sprint planning • Monitor application health and user experience using modern observability tools