Job Description
Vertex Systems is pioneering the next generation of artificial intelligence and quantum integration. As a Senior AI & Quantum Algorithm Architect (2026 Focus), you will lead the strategic roadmap for our upcoming computing initiatives, bridging the gap between theoretical machine learning and practical quantum application.
We are looking for a visionary thinker to design the algorithms that will power the enterprise of tomorrow. If you are passionate about the future of technology and want to define the standards for 2026 and beyond, this is your opportunity to shape the future.
Responsibilities
- Architect Core Algorithms: Design and implement next-generation machine learning models integrated with quantum computing frameworks.
- Strategic Roadmapping: Define the technical roadmap for 2026, identifying key trends in AI and quantum processing.
- R&D Leadership: Lead research initiatives to explore new frontiers in neural networks and quantum entanglement.
- Team Mentorship: Guide and mentor a team of junior architects and data scientists, fostering a culture of innovation.
- Cross-Functional Collaboration: Work closely with product managers and engineering teams to translate complex algorithms into scalable software solutions.
- Performance Optimization: Optimize existing systems for speed and efficiency, ensuring high throughput in hybrid computing environments.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI or Quantum Physics.
- Experience: 10+ years of professional experience in software engineering and algorithm design.
- Technical Skills: Proficiency in Python, C++, and Rust; deep understanding of TensorFlow, PyTorch, or JAX.
- Quantum Experience: Hands-on experience with quantum computing platforms (e.g., Qiskit, Cirq, Amazon Braket).
- Leadership: Proven track record of leading technical teams and delivering complex projects on time.
- Problem Solving: Exceptional analytical skills with a focus on solving unsolved problems in computational complexity.