Job Description
Shape the Technological Landscape of 2026
We are a pioneering R&D firm at the forefront of the next technological revolution. We are seeking a visionary Future Tech Architect to design the infrastructure and systems that will define the era of 2026. If you are passionate about Artificial Intelligence, Spatial Computing, and Quantum Readiness, this is your opportunity to lead from the front lines.
In this role, you won't just be maintaining current systems; you will be architecting the foundation for tomorrow's digital world. You will bridge the gap between theoretical breakthroughs and practical, scalable applications.
Responsibilities
- Architect Next-Gen AI Infrastructure: Design scalable, robust neural network architectures capable of handling next-generation data processing requirements.
- Lead Spatial Computing Integration: Spearhead the development of immersive AR/VR environments, ensuring seamless user experiences across future hardware.
- Quantum Readiness Strategy: Assess and integrate early-stage quantum computing protocols into our existing cloud ecosystems.
- R&D Leadership: Conduct in-depth research on emerging technologies (GenAI, Neuromorphic Computing) and translate findings into actionable engineering roadmaps.
- System Scalability: Ensure all future-forward systems are highly available, secure, and scalable for global enterprise deployment.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and hardware engineers to deliver integrated solutions.
Qualifications
- Expertise in AI/ML: 5+ years of experience in Machine Learning, Deep Learning, or AI Engineering with a focus on Large Language Models (LLMs).
- Technical Proficiency: Strong command of Python, C++, and modern cloud-native frameworks (Kubernetes, AWS/GCP/Azure).
- Innovation Mindset: Demonstrated ability to think strategically about emerging technologies and their practical application.
- Hardware Knowledge: Familiarity with spatial computing devices (e.g., Vision Pro, HoloLens) and mixed reality development principles.
- Leadership Experience: Proven track record of leading technical teams and mentoring junior engineers.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.