MetaHeed

Job Details

Assistant Officer – R&D (Software, Hardware, Networking & AI)

MetaHeed Limited

Location: Online
Department: Research & Development (Emerging Technologies)
Employment Type: Full-time
Deadline: 30th May 2025
 

Job Summary

We seek a multidisciplinary R&D professional to support research in software systems, embedded hardware, networking protocols, and AI/ML applications. This role combines hands-on experimentation with academic rigor—requiring skills in prototyping, algorithm development, and research publication.

Key Responsibilities

 

1. Research & Development

  • Design and test embedded systems, IoT devices, or networking hardware (e.g., Raspberry Pi, Arduino, FPGA).
  • Develop and optimize AI/ML models (computer vision, NLP, predictive analytics) using Python/TensorFlow/PyTorch.
  • Implement and evaluate networking protocols (TCP/IP, MQTT, LoRaWAN) for scalable solutions.
  • Contribute to research papers for conferences/journals in AI, networking, or hardware innovation.

2. Software & Hardware Integration

  • Write firmware (C/C++) and interface with sensors/actuators.
  • Build proof-of-concept prototypes integrating software (Python/Java) with hardware.
  • Troubleshoot system-level issues across cloud-edge-device architectures.

3. Documentation & Compliance

  • Document R&D processes, patents, and technical reports.
  • Ensure compliance with IEEE, ISO, or industry-specific standards.

Qualifications & Skills

  • Education: Bachelor’s/Master’s in Computer Engineering, Electrical Engineering, AI, or related fields.
  • Technical Skills:
    • Programming: Python, C/C++, MATLAB, Verilog/VHDL (for FPGAs).
    • AI/ML: Experience with TensorFlow, PyTorch, or computer vision tools (OpenCV).
    • Networking: Knowledge of 5G, SDN, or wireless protocols.
    • Hardware: PCB design (Altium/KiCad), sensor integration, or robotics.
  • Research: Prior work on published papers/theses in AI, hardware, or networking.
  • Soft Skills: Analytical mindset, problem-solving, and teamwork.

Preferred Qualifications

  • Experience with edge AI, quantum computing, or cybersecurity research.
  • Contributions to open-source projects or hackathons.
  • Certifications in Cisco, AWS AI/ML, or NVIDIA Jetson.

Benefits

  • Work on patent-worthy projects with industry experts.
  • Access to advanced labs (3D printing, AI clusters, RF testing).
  • Sponsorship for conferences/certifications.
  • Competitive salary + performance bonuses.

How to Apply

Submit by online.

  1. Resume (highlighting projects/research).
  2. Cover Letter (explaining your R&D interests).
  3. GitHub/Portfolio (if applicable).
  4. Publication PDFs (for candidates with research papers).
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