Job Description
We are on the cusp of a technological revolution. Nexus Future Systems is seeking a visionary AI & Quantum Research Lead to architect the solutions that will define the landscape of 2026 and beyond. If you are passionate about pushing the boundaries of machine learning, quantum mechanics, and neural architectures, we want you on our team.
In this role, you will not just use existing technology; you will help invent it. You will lead a world-class R&D team focused on developing next-generation algorithms capable of solving complex problems in predictive modeling, bio-simulation, and autonomous systems.
Join us in building the future of intelligence.
Responsibilities
- Lead R&D Initiatives: Spearhead high-impact research projects focusing on the intersection of AI and quantum computing to solve real-world engineering challenges.
- Team Leadership: Mentor and manage a diverse team of researchers, data scientists, and engineers, fostering a culture of innovation and continuous learning.
- Strategic Planning: Define the technical roadmap for our research division, identifying emerging trends and technologies relevant to the 2026 timeline.
- Collaboration: Partner with product and engineering teams to translate theoretical research into scalable, deployable software solutions.
- Publication & Thought Leadership: Author high-impact white papers and present at top-tier conferences to establish Nexus Future Systems as an industry authority.
- Resource Allocation: Oversee budget management and ensure the optimal allocation of computational resources for experimental models.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
- Experience: Minimum of 8+ years of experience in AI/ML research, with at least 3 years in a leadership or senior technical role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and quantum computing frameworks (e.g., Qiskit, Cirq).
- Research Ability: Proven track record of publishing research in reputable journals and conferences (NeurIPS, ICML, etc.).
- Problem Solving: Demonstrated ability to tackle ambiguous problems and devise innovative, mathematical solutions.
- Communication: Exceptional verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.