Job Description
Are you ready to build the future?
Join Synthetix Global as a Lead Architect for our exclusive 2026 Horizon Initiative. We are pioneering the next generation of AI-driven infrastructure, and we need a visionary technical leader to define the blueprint for our flagship systems. This is not just a job; it is an opportunity to leave a legacy in the architecture of tomorrow.
In this high-impact role, you will spearhead the architectural design of our quantum-ready neural networks and autonomous systems. You will work alongside the brightest minds in the industry to solve unsolvable problems and push the boundaries of what is possible in 2026 and beyond.
Why join us?
- Elite Team Culture: Work with a diverse group of world-class engineers and researchers.
- Future-Proofing: Your work will directly influence the technological landscape for the next decade.
- Competitive Compensation: Top-tier salary and equity package.
Responsibilities
- Architect and design scalable, high-performance systems for the 2026 Horizon Initiative, focusing on AI integration and quantum computing readiness.
- Lead a cross-functional team of engineers, providing technical guidance and mentorship to ensure best practices in software development.
- Define technical roadmaps and strategic goals for the project, aligning them with company objectives.
- Conduct rigorous code reviews and system audits to ensure security, stability, and performance.
- Collaborate with product managers and stakeholders to translate business requirements into robust technical solutions.
- Stay ahead of industry trends in emerging technologies to propose innovative architectural improvements.
Qualifications
- Master’s degree or PhD in Computer Science, Electrical Engineering, or a related field.
- Minimum of 8 years of experience in software architecture and systems design, with a focus on AI or distributed systems.
- Proven experience leading large-scale engineering teams and managing complex projects from conception to deployment.
- Deep understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Experience with quantum computing frameworks (e.g., Qiskit, Cirq) or advanced machine learning architectures is a strong plus.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.