Job Description
The Future is Now. Nexus Horizon Tech is pioneering the infrastructure for the year 2026. We are seeking a visionary Senior Generative AI & Quantum Systems Architect to lead the development of next-generation computational frameworks. If you are passionate about the intersection of neural networks, quantum mechanics, and scalable cloud architecture, this is your opportunity to define the technological landscape of tomorrow.
In this role, you will bridge the gap between theoretical AI advancements and practical, high-performance engineering. You will be responsible for designing systems that are not only robust today but are future-proofed for 2026 and beyond.
Why Join Us?
- Work on projects that define the next decade of human-computer interaction.
- Access to cutting-edge quantum computing resources and AI accelerators.
- Competitive equity package and remote-first flexibility.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable AI infrastructure that integrates generative models with quantum processing units (QPUs) for unprecedented computational power.
- Future-Proof Roadmap: Develop technical roadmaps and architectural standards that ensure our systems remain at the forefront of technology by 2026.
- Model Optimization: Lead the optimization of large language models (LLMs) and multimodal systems for low-latency, high-throughput deployment in production environments.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and rigorous engineering standards.
- Security & Ethics: Implement robust governance frameworks for AI safety, ensuring ethical usage of autonomous agents and generative content.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Physics, or a related field with a focus on AI/Quantum Computing.
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Skills: Deep proficiency in Python, C++, and Rust. Experience with quantum computing libraries (e.g., Qiskit, Cirq) and large-scale ML frameworks (TensorFlow, PyTorch).
- System Design: Demonstrated ability to design fault-tolerant, distributed systems capable of handling exascale data.
- Vision: A strong understanding of emerging trends in AGI, Neuromorphic computing, and the specific technical requirements of 2026.