Job Description
Shape the technology landscape of 2026 and beyond. We are looking for a visionary Principal AI & Quantum Systems Architect to join Apex Horizon Technologies. In this role, you will be at the forefront of the next industrial revolution, bridging the gap between Artificial Intelligence and Quantum Computing to solve problems that were previously deemed impossible.
Our mission is to build the infrastructure for a smarter, more efficient future. You will lead the architectural design of next-gen systems, ensuring they are scalable, secure, and revolutionary. If you are a technical leader who thrives on ambiguity and wants to define the future of computing, this is your opportunity to make history.
Key Highlights:
- Industry Leading Role: Directly influence the roadmap for our flagship 2026 products.
- Unmatched Compensation: Competitive salary range ($200k - $350k) plus significant equity stake.
- Top Tier Team: Work alongside the brightest minds in Silicon Valley.
Responsibilities
- Architect and design high-performance hybrid AI-Quantum computing systems for enterprise applications.
- Lead the research and development of novel algorithms that leverage quantum supremacy for machine learning tasks.
- Define technical vision and strategy, ensuring alignment with long-term business goals and emerging industry trends.
- Collaborate with product managers, engineers, and scientists to translate complex requirements into robust technical solutions.
- Mentor and coach senior engineers, fostering a culture of technical excellence and continuous innovation.
- Ensure the scalability, reliability, and security of all deployed infrastructure.
- Present technical concepts to stakeholders and non-technical audiences with clarity and impact.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with 10+ years of relevant experience.
- Deep expertise in Python, C++, and major Quantum Computing frameworks (Qiskit, Cirq, or PyQuil).
- Strong background in Neural Networks, Deep Learning, and Generative AI models.
- Proven track record of designing and delivering large-scale, distributed systems in high-pressure environments.
- Excellent leadership skills with a history of managing high-performing engineering teams.
- Ability to navigate ambiguity and drive projects from conception to completion.