Job Description
Are you ready to architect the future of intelligence?
We are not just looking for developers; we are seeking visionaries to build the systems that will define the technological landscape of 2026 and beyond. Nexus Future Technologies is at the forefront of merging Artificial Intelligence with Quantum Computing to solve humanity's most complex problems.
In this high-impact role, you will lead the design and implementation of next-generation neural networks optimized for quantum hardware. You will work alongside world-class physicists and data scientists to create scalable algorithms that push the boundaries of processing power.
Why join us?
- Work on cutting-edge technology that will shape the future.
- Competitive salary and equity package.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Design and deploy advanced hybrid quantum-classical algorithms for machine learning tasks.
- Optimize existing AI models for emerging quantum hardware architectures.
- Lead technical research initiatives to explore new frontiers in neural network efficiency.
- Collaborate with cross-functional teams to integrate quantum modules into production systems.
- Mentor junior engineers and researchers in best practices for quantum software development.
- Conduct rigorous testing and validation of quantum error correction protocols.
Qualifications
- PhD or Master's degree in Computer Science, Physics, Mathematics, or a related field.
- Minimum of 5 years of experience in machine learning, deep learning, or high-performance computing.
- Proficiency in Python, C++, and experience with quantum simulators (Qiskit, Cirq, or similar).
- Strong understanding of linear algebra, probability theory, and statistical mechanics.
- Demonstrated ability to lead technical projects and mentor team members.
- Experience with cloud computing platforms (AWS, Azure, GCP) for distributed computing.