Job Description
Are you ready to define the architecture of tomorrow?
Nexus Future Systems is on the cutting edge of technological evolution, and we are seeking a visionary Senior AI & Quantum Readiness Engineer to lead our pre-2026 transition initiatives. In this role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms, ensuring our infrastructure is ready for the quantum leap in 2026 and beyond.
You will work in a high-performance environment where you can influence the roadmap of next-generation computing. If you are passionate about the future of AI and possess the technical depth to navigate uncharted territories, we want to meet you.
Why Join Us?
- Future-Proof Your Career: Be at the forefront of the quantum revolution.
- Competitive Compensation: $180k - $250k base salary plus equity.
- Flexible Work: Hybrid model with remote flexibility.
- Top-Tier Benefits: Health, dental, vision, and 401(k) matching.
Responsibilities
- Architect hybrid quantum-classical algorithms designed to solve complex optimization problems relevant to the 2026 landscape.
- Lead the technical migration of legacy AI models to future-proof architectures capable of quantum integration.
- Collaborate with cross-functional teams to define the roadmap for post-silicon computing readiness.
- Conduct rigorous research and development on quantum error correction and noise mitigation techniques.
- Develop proprietary libraries and tools to facilitate seamless integration of quantum processors into existing AI pipelines.
- Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
- Present technical roadmaps and findings to executive stakeholders to drive strategic decision-making.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
- 10+ years of experience in software engineering and machine learning, with at least 3 years focused on AI/ML architecture.
- Deep understanding of quantum computing concepts, including Qubits, Superposition, and Entanglement.
- Proficiency in Python, C++, and experience with quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
- Strong experience with distributed systems and high-performance computing (HPC).
- Excellent problem-solving skills with a proven track record of leading technical projects from conception to deployment.
- Ability to communicate complex technical concepts to non-technical stakeholders clearly and effectively.