Job Description
Join Nebula Future Systems as we embark on Project 2026, our revolutionary initiative to redefine the boundaries of artificial general intelligence and quantum processing. We are seeking a visionary Lead Systems Architect to spearhead the infrastructure that will power the next decade of technological advancement.
In this role, you will bridge the gap between theoretical physics and software engineering, designing scalable, fault-tolerant architectures that can handle the immense computational loads of future neural networks. You will work in a high-performance environment, collaborating with elite researchers and engineers to build the backbone of tomorrow.
Responsibilities
- Architectural Design: Lead the end-to-end design of distributed quantum-classical computing systems, ensuring high availability and scalability.
- Technical Strategy: Define the technical roadmap for Project 2026, evaluating emerging technologies and selecting the optimal stack for deployment.
- System Integration: Oversee the integration of hardware accelerators with software frameworks, optimizing data flow and latency.
- Mentorship: Cultivate a culture of technical excellence by mentoring senior engineers and conducting rigorous code reviews.
- Cross-Functional Collaboration: Partner with product managers and R&D leads to translate complex research concepts into deployable engineering solutions.
- Performance Optimization: Continuously monitor system performance, identifying bottlenecks and implementing solutions to maintain peak efficiency.
Qualifications
- Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field with a focus on distributed systems or quantum computing.
- Experience: 8+ years of experience in software architecture, with at least 3 years in a leadership role within high-scale tech environments.
- Technical Skills: Deep expertise in cloud infrastructure (AWS/GCP), containerization (Docker/Kubernetes), and microservices architecture.
- Programming: Proficiency in languages such as Python, Go, or C++, with experience in quantum programming frameworks (Qiskit, Cirq, or PyQuil).
- Problem Solving: Demonstrated ability to solve complex, multi-dimensional technical problems under tight deadlines.
- Communication: Exceptional verbal and written communication skills, capable of articulating complex technical concepts to diverse stakeholders.