Job Description
Are you ready to architect the future? Nexus 2026 Labs is at the forefront of defining the technological landscape for the upcoming decade. We are seeking a visionary Senior AI & Quantum Readiness Engineer to spearhead our initiatives bridging the gap between current machine learning capabilities and the post-silicon era of quantum computing.
In this role, you will not just adapt to future technologies; you will define them. You will lead the integration of next-gen neural architectures with quantum algorithms, ensuring our platforms remain relevant and dominant in the 2026 horizon and beyond. Join a team of elite thinkers pushing the boundaries of what is possible.
Why Join Us?
- Impactful Work: Directly influence the roadmap that will define the next generation of intelligent systems.
- Top-Tier Talent: Collaborate with PhD-level researchers and industry veterans.
- Future-Proof Career: Gain exclusive exposure to emerging technologies before they hit the mainstream market.
If you are passionate about the intersection of Artificial Intelligence, Quantum Mechanics, and scalable software architecture, we want to hear from you.
Responsibilities
- Architecting the 2026 Roadmap: Design and implement scalable infrastructure that supports the transition from classical AI to hybrid quantum-classical models by 2026.
- Quantum Algorithm Development: Develop and optimize quantum circuits to solve complex computational problems that are intractable for classical computers.
- Model Optimization: Fine-tune large language models (LLMs) and transformer architectures to ensure efficiency and accuracy in edge computing environments.
- Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- R&D Collaboration: Partner with theoretical physicists and AI researchers to validate novel approaches to machine learning.
- System Integration: Integrate quantum APIs and AI SDKs into our core product suite, ensuring seamless user experiences.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
- Experience: 8+ years of professional experience in software engineering and machine learning.
- Technical Skills: Deep understanding of Python, C++, TensorFlow, PyTorch, and Quantum Computing frameworks (e.g., Qiskit, Cirq).
- Strategic Vision: Demonstrated ability to anticipate technological trends and align engineering roadmaps with long-term business goals.
- Problem Solving: Proven track record of solving complex, high-stakes engineering challenges.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.