Job Description
Are you ready to architect the world of 2026 and beyond? Nexus Horizon Systems is seeking a visionary Quantum AI Architect to pioneer the next generation of computing. In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms to solve complex, high-impact problems.
We are looking for a leader who is not just familiar with the technologies of today, but who is actively building the stack for tomorrow. You will work in a high-performance environment, collaborating with top-tier researchers to deploy scalable quantum algorithms that redefine industry standards.
Why Join Us?
- Work on groundbreaking technology that will define the 2026 tech landscape.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art facilities in SF.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models optimized for near-term quantum hardware.
- Lead the architecture of quantum circuit designs, ensuring scalability and error mitigation.
- Conduct research to identify novel applications for quantum computing in data security and optimization.
- Collaborate with cross-functional teams to integrate quantum solutions into existing cloud infrastructure.
- Mentor junior engineers and researchers in quantum programming best practices.
- Stay ahead of the curve on quantum hardware advancements and algorithmic breakthroughs.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
- Strong proficiency in Python, C++, and quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
- Deep understanding of classical machine learning algorithms (TensorFlow, PyTorch) and their quantum analogs.
- Experience with cloud platforms (AWS, Azure, GCP) and their quantum service offerings.
- Proven track record of solving complex algorithmic problems in high-stakes environments.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.