Job Description
Shape the Future of Technology with Apex Horizon Systems
We are at the forefront of defining the technological landscape for 2026 and beyond. We are looking for a visionary Senior AI & Quantum Systems Architect to lead our next-generation R&D initiatives. In this pivotal role, you will design the infrastructure that bridges artificial intelligence and quantum computing, solving complex problems that were previously deemed impossible.
Why Join Us?
- Cutting-Edge Environment: Work on proprietary quantum algorithms and neural networks.
- Equity Package: Competitive stock options tied to our company's explosive growth.
- Remote-First Culture: Flexible working arrangements for the best talent in the US.
- Premium Benefits: Comprehensive health coverage, 401(k) matching, and continuous learning stipends.
If you are ready to build the systems of tomorrow, today, we want to meet you.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance AI and quantum computing architectures tailored for the 2026 ecosystem.
- R&D Strategy: Lead research initiatives focused on quantum supremacy, machine learning optimization, and predictive analytics.
- System Integration: Oversee the integration of quantum processors with classical AI workloads to ensure seamless data processing.
- Team Mentorship: Guide a team of junior engineers and data scientists, conducting code reviews and technical workshops.
- Performance Tuning: Analyze system bottlenecks and optimize algorithms for maximum efficiency and speed.
- Prototyping: Develop rapid prototypes of futuristic AI models to validate concepts before full-scale deployment.
- Stakeholder Communication: Translate complex technical concepts into actionable business strategies for C-suite executives and investors.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field (PhD preferred).
- Experience: Minimum of 8+ years of experience in software architecture, specifically within AI, Machine Learning, or Quantum Computing.
- Technical Skills: Proficiency in Python, C++, TensorFlow, PyTorch, and quantum programming frameworks (e.g., Qiskit, Cirq).
- Problem Solving: Proven track record of solving complex, multi-variable problems in high-stakes environments.
- Leadership: Demonstrated ability to lead cross-functional teams and manage large-scale projects from conception to delivery.
- Innovation: A deep passion for emerging technologies and a forward-thinking mindset regarding the evolution of AI.
- Communication: Excellent verbal and written communication skills, capable of articulating technical details to non-technical stakeholders.