Kerja Sepenuh Masa, R-D Technical Manager di FILPAL Pulau Pinang - Maukerja

Lead the R&D team across RF hardware, software, AI and system engineering. Define and run a structured research-to-product programme in C-UAS covering SDR, radar, algorithms, and technology transfer into fielded systems. Build the organisation, processes and technical bar.

1. R&D leadership

- Lead a multi-disciplinary R&D organisation spanning RF/microwave hardware, SDR, embedded and application software, AI/ML, signal processing, and system integration.

- Set technical strategy, roadmaps, architecture standards and design reviews across product lines, with C-UAS as the flagship programme.

- Build and coach team leads; hire, retain and develop engineers; establish a culture of rigorous engineering, field-first thinking and delivery.

- Translate MD/CEO business priorities into a funded, sequenced R&D plan with clear milestones, risk registers and go/no-go gates.

2. C-UAS technology programme

- Charter a multi-year C-UAS research and productization programme covering: SDR platforms and RF front-ends; RF direction finding and spectrum intelligence; radar sensing and multi-sensor fusion; detection, classification and tracking algorithms; protocol/telemetry decoding; and mitigation coordination.

- Define the system architecture for sensor layer, processing layer and effector interfaces.

- Drive technology transfer from research, partners, universities and suppliers into implementable, testable, manufacturable product — not demos that die in the lab.

- Establish evaluation methodology: lab characterisation, outdoor trials, false-alarm / detection metrics, latency, robustness in congested spectrum, and mission-scenario test plans.

3. Software, AI and algorithms

- Direct signal-processing and AI workstreams: detection, classification tracking, sensor fusion, and operator decision support.

- Oversee software architecture for real-time pipelines, edge vs. server compute, data/IQ management, offline protocol libraries

- Set standards for model training data, labelling, evaluation, versioning, and field update — so algorithms can be transferred and maintained, not locked in one engineer’s notebook.

4. System engineering and productization

- Connect R&D to NPI, manufacturing, test, field integration and after-sales so prototypes become deployable products

- Support customer technical engagements, demonstrations, proposals and acceptance tests with credible engineering, not slideware.

6. Partnerships, research network and technology transfer

- Build and manage research and industrial partnerships

- Represent in technical forums, standards discussions and selected government / defence engagements.

Degree in Electrical/Electronic Engineering, Physics, Computer Engineering or related field. Master’s or PhD is an advantage, especially in RF, radar, signal processing or ML.

- Direct C-UAS, EW, spectrum-monitoring or RF direction-finding experience.

- Hands-on history with SDR platforms (e.g. USRP-class, custom SDR, FPGA/SoC RFSoC pipelines) and IQ-level processing.

- Radar experience: short-range / low-RCS detection, tracking filters, or multi-sensor fusion.

- Shipped AI/ML for RF or EO classification, with disciplined data and evaluation practice.

- Experience in a scale-up or mid-size product company, not only a large prime or a pure research lab.

- Familiarity with defence procurement, trials, controlled goods / export control, and information security.

- Patent filings or published technical work is a plus, not a substitute for delivery.

- Ready to be developed as CTO: judgement, discretion, loyalty to the company mission, and the stamina to own outcomes.