Job Description
We are not just predicting the future; we are engineering it. Project 2026 is a cutting-edge research organization dedicated to developing the world's first scalable Quantum-Neural Predictive Engine. We are looking for visionary Senior Architects to design the foundational infrastructure that will redefine how industries interact with data in the year 2026 and beyond.
In this role, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications. You will work in a high-performance environment where speed, precision, and innovation are paramount.
Why Join Us?
- Work on the frontier of AI and Quantum Computing.
- Competitive equity and salary packages.
- Flexible remote-first culture with hubs in San Francisco and Austin.
- Access to the latest hardware and research tools.
Responsibilities
- Lead the architectural design of hybrid Quantum-Neural networks capable of processing petabytes of real-time data.
- Oversee the implementation and optimization of algorithms on both classical and quantum hardware.
- Collaborate with data scientists and engineers to translate theoretical research into production-ready software.
- Establish best practices for security, scalability, and fault tolerance in distributed systems.
- Mentor junior developers and conduct code reviews to ensure high engineering standards.
- Contribute to the technical roadmap for the Project 2026 platform.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, Physics, or a related technical field.
- 5+ years of professional experience in software architecture, with at least 2 years in Quantum Computing or Advanced Machine Learning.
- Proficiency in Python, C++, and CUDA.
- Experience with quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, research-driven environment.