Job Description
Shape the Future of Computing in 2026
We are seeking a visionary Lead Quantum AI Architect to spearhead the development of next-generation computational systems at Nexus Future Systems. As we approach the technological singularity of 2026, we are building the infrastructure that will redefine human-machine interaction.
In this high-impact role, you will bridge the gap between classical deep learning and emerging quantum mechanics. You will be responsible for architecting hybrid systems capable of processing petabyte-scale datasets in nanoseconds, preparing our platforms for the post-silicon era.
Why Join Us?
- Impact: Work on the core infrastructure powering the 2026 AI revolution.
- Autonomy: Lead a world-class team of researchers and engineers.
- Equity: Significant stake in a company on the cutting edge of technology.
Responsibilities
- Architect and design scalable quantum-classical hybrid algorithms for complex problem-solving.
- Lead the research and development of next-generation neural networks optimized for quantum processors.
- Define the technical roadmap for systems integration, ensuring compatibility with 2026-era hardware standards.
- Collaborate with cross-functional teams to translate theoretical research into production-grade software.
- Mentor senior engineers and researchers, fostering a culture of innovation and technical excellence.
- Optimize system latency and throughput for distributed cloud environments.
- Stay ahead of emerging trends in quantum supremacy and artificial general intelligence (AGI).
Qualifications
- Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on quantum computing.
- 7+ years of experience in software engineering, with at least 3 years specifically in quantum algorithms or AI architecture.
- Deep expertise in Python, C++, and quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
- Proven track record of deploying machine learning models at scale in cloud environments (AWS, GCP, Azure).
- Strong understanding of linear algebra, probability theory, and optimization techniques.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.