Job Description
We are Apex Future Systems, a pioneer in next-generation computing. As we prepare for the technological paradigm shift of 2026, we are seeking a visionary Senior AI & Quantum Architect to lead our R&D initiatives.
In this role, you will be at the forefront of integrating Artificial Intelligence with emerging quantum computing paradigms. You won't just be building software; you will be architecting the infrastructure that powers the future of enterprise intelligence. If you are passionate about solving complex problems at the intersection of data science and physics, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 roadmap.
- Competitive equity package and remote-first culture.
- Opportunity to shape the future of AI infrastructure.
Responsibilities
- Architect Design: Design and implement scalable, high-performance AI and quantum computing architectures for enterprise-level applications.
- Algorithm Development: Develop novel algorithms that leverage quantum principles to solve complex optimization problems.
- Model Optimization: Fine-tune large language models and neural networks to ensure optimal performance on next-gen hardware.
- Strategy & Roadmap: Define the technical roadmap for AI readiness, specifically focusing on 2026 technological standards.
- Team Leadership: Mentor a team of data scientists and quantum engineers, fostering a culture of innovation and continuous learning.
- Prototyping: Build rapid prototypes of futuristic interfaces and AI-driven decision systems.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on AI or Quantum Mechanics.
- Experience: 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
- Technical Skills: Proficiency in Python, C++, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
- Cloud Mastery: Strong experience with AWS, Google Cloud, or Azure, specifically regarding GPU/TPU infrastructure.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and translate them into concrete technical solutions.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.