Job Description
We are not merely building software; we are architecting the reality of 2026. At Apex Future Systems, we are pioneering the intersection of Quantum Computing and Artificial Intelligence to solve problems previously deemed impossible. We are seeking a visionary Senior Quantum AI Architect to lead our core research division and define the technological roadmap for the next decade.
In this role, you will bridge the gap between theoretical physics and practical machine learning, deploying next-generation algorithms that will power the digital infrastructure of the future. If you are driven by the challenge of the unknown and want to leave a lasting legacy in the tech industry, we want to hear from you.
Responsibilities
- Architect Next-Gen Systems: Design and oversee the development of scalable quantum machine learning models and hybrid quantum-classical architectures.
- R&D Leadership: Spearhead research initiatives focused on error correction, quantum entanglement in neural networks, and algorithmic optimization for Year 2026 standards.
- Team Mentorship: Mentor a high-performing team of quantum physicists, data scientists, and software engineers, fostering a culture of innovation and technical excellence.
- Strategic Roadmapping: Define the long-term technical vision for the company, ensuring our technology stack remains at the forefront of the industry.
- Collaborative Engineering: Partner with cross-functional teams to integrate quantum solutions into existing cloud infrastructure and client-facing applications.
- Patent & Publication: Lead efforts to secure patents and publish peer-reviewed research that establishes Apex Future Systems as an industry authority.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field, with a focus on Quantum Information Science or Artificial Intelligence.
- Experience: 5+ years of professional experience in AI/ML architecture, with at least 2 years specifically focused on quantum computing or high-performance computing.
- Technical Proficiency: Deep expertise in Python, C++, TensorFlow/PyTorch, and quantum software stacks such as Qiskit, Cirq, or Project Q.
- System Design: Proven ability to design complex distributed systems that handle massive datasets with low latency and high reliability.
- Innovation: Demonstrated history of driving innovation and successfully delivering cutting-edge technical solutions in a fast-paced environment.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.