R&D Manager

6 hours ago

Singapore INFINITY CYBERSEC PTE. LTD. Full time $120,000 - $360,000 per year
Role Overview

As the R&D Manager - AI & Cybersecurity, you will lead the development and innovation of advanced AI-driven cybersecurity solutions designed to protect enterprise and cloud infrastructures from evolving cyber threats. This is a leadership role at the intersection of artificial intelligence, security engineering, and research, offering the opportunity to shape next-generation defense technologies. You will manage a multidisciplinary team of researchers and engineers, driving projects from conceptual research through to real-world deployment.

Key Responsibilities
  • Lead and manage R&D initiatives focused on AI-powered cybersecurity systems, including anomaly detection, threat simulation, and vulnerability analysis.
  • Drive the design and optimization of machine learning and deep learning models tailored to adversarial scenarios and cybersecurity use cases.
  • Oversee the development of behavioral analytics, graph-based threat modeling, and intelligent automation frameworks.
  • Guide red/blue team exercises and the creation of autonomous agents for continuous threat emulation.
  • Collaborate closely with engineering, product, and executive teams to align R&D output with commercial product strategies.
  • Contribute to technical roadmaps and ensure timely delivery of high-impact solutions.
  • Represent the organization at conferences, technical forums, and in peer-reviewed publications.
Requirements
  • Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, or a related discipline.
  • Proven track record (5 years) in leading R&D or advanced technical teams, particularly in AI and/or cybersecurity domains.
  • Hands-on expertise in Python, with additional experience in Go, C , or JavaScript considered a plus.
  • Strong understanding and practical experience in one or more of the following:
    Vulnerability research (fuzzing, binary analysis, static/dynamic analysis)
    Penetration testing or red/blue team operations
    Machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
    Behavioral modeling or graph-based security inference (e.g., GNNs)
  • Familiarity with cloud security models, Zero Trust architectures, and adversarial defense strategies.
  • Experience with modern DevSecOps workflows and major cloud platforms (AWS, Azure, GCP, or Alibaba Cloud).
  • Excellent leadership, collaboration, and problem-solving skills.
Preferred Qualifications
  • Publications or open-source contributions in AI security, adversarial ML, or cybersecurity tooling.
  • Recognized certifications such as CISSP, CISA, OSCP, or RHCE.
  • Experience in productizing AI-based cybersecurity solutions.
  • Strong communication and stakeholder engagement skills, with prior international conference participation being advantageous.
What We Offer
  • Lead pioneering work at the forefront of AI and cybersecurity innovation.
  • Work with a globally recognized team of experts and gain access to world-class mentorship.
  • Flexible and international work environment with hybrid or remote arrangements.
  • Attractive compensation package, including stock options.
  • Opportunities for global conference participation, ongoing training, and professional growth.

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