Job Description
Are you ready to define the technological landscape of the next decade? Nexus 2026 is at the forefront of integrating advanced Artificial Intelligence with next-generation quantum computing architectures. We are seeking a visionary Lead AI & Quantum Systems Engineer to spearhead our research and development initiatives leading up to the pivotal year of 2026.
In this role, you will bridge the gap between theoretical quantum mechanics and practical, scalable AI solutions. You will be working with a world-class team to build systems that are not just faster, but fundamentally smarter. If you are passionate about the future of computation and want to leave a lasting legacy in the tech industry, we want to hear from you.
Responsibilities
- Design and implement advanced neural network architectures optimized for hybrid quantum-classical environments.
- Lead the architectural strategy for AI systems, ensuring scalability, security, and high performance.
- Collaborate with quantum hardware engineers to fine-tune algorithms for real-world hardware constraints.
- Mentor and guide a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Drive the research and development roadmap, identifying new opportunities for AI integration in enterprise solutions.
- Optimize data pipelines and model inference speeds to handle petabyte-scale datasets efficiently.
- Present complex technical concepts to stakeholders and executive leadership to secure buy-in for major initiatives.
Qualifications
- Master’s or Ph.D. in Computer Science, Physics, or a related field with a focus on AI/Quantum Computing.
- Minimum of 5 years of experience in software engineering and machine learning, with at least 2 years in a leadership role.
- Deep proficiency in Python, C++, and CUDA.
- Experience with quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Strong understanding of deep learning frameworks (TensorFlow, PyTorch) and distributed systems.
- Proven track record of delivering complex technical projects on time and within budget.
- Excellent communication skills, with the ability to articulate technical details to non-technical audiences.