Job Description
Are you ready to define the future of intelligence?
Nexus Future Technologies is pioneering the next generation of Artificial General Intelligence through our flagship initiative, Project 2026. We are seeking a visionary Senior AI Research Engineer to lead the development of scalable, self-improving neural architectures that will redefine human-machine interaction.
In this role, you will bridge the gap between theoretical quantum computing concepts and practical, high-performance machine learning applications. If you are passionate about pushing the boundaries of what is possible and want to leave a lasting legacy in the tech landscape, we want to hear from you.
Responsibilities
- Lead the architectural design and implementation of next-generation AI models for Project 2026, ensuring scalability and performance.
- Collaborate with cross-functional teams of physicists and data scientists to integrate quantum algorithms into classical neural networks.
- Optimize deep learning pipelines for edge devices and massive cloud infrastructures using C++ and CUDA.
- Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning within the R&D department.
- Publish cutting-edge research findings in top-tier conferences and journals (NeurIPS, ICML, etc.).
- Translate complex technical concepts into actionable insights for stakeholders and product management teams.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Artificial Intelligence.
- Minimum of 5 years of professional experience in designing and deploying large-scale machine learning systems.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
- Experience with quantum computing frameworks such as Qiskit or Cirq is highly preferred.
- Strong background in Natural Language Processing (NLP) and Computer Vision.
- Demonstrated ability to solve ambiguous problems and think critically under pressure.