Job Description
Shape the Future of Intelligence
Welcome to Apex Horizon Technologies. We are on the cutting edge of the 2026 Technology Initiative, a visionary project aimed at merging the computational power of quantum mechanics with the adaptability of artificial intelligence. If you are a visionary engineer looking to define the standards of tomorrow, this is your opportunity.
In this role, you will not just write code; you will architect the cognitive frameworks that will drive the next era of global computing. You will work in a high-performance, elite team focused on solving problems deemed 'impossible' by current classical computing standards.
Why Join Us?
- Work with state-of-the-art quantum hardware and cloud-native AI infrastructure.
- Competitive equity packages and performance bonuses tied to 2026 project milestones.
- Flexible remote-first culture with access to world-class research facilities in the Bay Area.
Responsibilities
- Architect Quantum AI Solutions: Design and implement hybrid quantum-classical algorithms capable of processing petabyte-scale datasets in milliseconds.
- Research & Development: Lead the exploration of novel neural network topologies optimized for qubit coherence and error correction.
- System Integration: Bridge the gap between quantum processors and deep learning frameworks to ensure seamless data flow and inference.
- Technical Leadership: Mentor a team of junior researchers and data scientists, fostering a culture of innovation and excellence.
- Roadmap Planning: Define the technical trajectory for the 2026 roadmap, ensuring scalability and robustness of core systems.
- Performance Optimization: Continuously monitor system latency and throughput, implementing optimizations to maximize hardware utilization.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Machine Learning.
- Experience: Minimum of 5+ years of professional experience in software engineering, specifically within AI/ML or High-Performance Computing (HPC).
- Technical Skills: Proficiency in Python, C++, and CUDA. Hands-on experience with quantum SDKs (e.g., Qiskit, Cirq, or PyQuil).
- AI Expertise: Deep understanding of deep learning architectures (CNNs, RNNs, Transformers) and their quantum counterparts.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous technical challenges and derive innovative solutions.
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable insights for stakeholders.