Job Description
We are pioneering the technology stack for the year 2026 and beyond. Nexus Future Systems is seeking a visionary Senior Quantum AI Architect to lead the design and implementation of next-generation machine learning models that leverage the power of quantum computing. You will be at the forefront of merging artificial intelligence with quantum mechanics to solve complex, unsolvable problems today.
Why Join Us?
- Shape the future of technology with a forward-thinking team.
- Competitive equity package and 401(k) matching.
- Flexible remote/hybrid work culture focused on output.
- Access to cutting-edge quantum hardware resources.
If you are passionate about the intersection of AI, Quantum Physics, and scalable software architecture, we want to hear from you.
Responsibilities
- Architect Quantum-Enhanced AI Models: Design and implement hybrid quantum-classical neural networks capable of solving optimization problems in logistics, finance, and healthcare.
- Lead Technical Roadmap (2026 Vision): Define the technical strategy for integrating quantum APIs into existing AI infrastructures.
- Optimize Algorithmic Efficiency: Reduce computational complexity and latency in deep learning models using quantum error correction techniques.
- Collaborate Across Disciplines: Work closely with physicists, data scientists, and hardware engineers to translate theoretical quantum advantage into practical applications.
- Mentor Junior Engineers: Foster a culture of innovation, guiding a team of ML engineers and data scientists in advanced quantum methodologies.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
- Experience: 5+ years of experience in software engineering, with at least 2 years specifically focused on Machine Learning and AI.
- Technical Skills: Proficiency in Python, C++, and TensorFlow/PyTorch. Experience with quantum computing frameworks such as Qiskit, Cirq, or Amazon Braket.
- Problem Solving: Demonstrated ability to tackle complex, abstract mathematical problems and translate them into robust code.
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.