Job Description
We are pioneering the future of intelligence. Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Research Engineer to join our elite Project 2026 division. In this pivotal role, you will architect the next generation of hybrid computing systems that bridge the gap between classical machine learning and quantum mechanics.
Our mission is to redefine what is possible by 2026, creating scalable AI solutions that solve complex global challenges. You will work in a high-performance environment, collaborating with world-class researchers and engineers to push the boundaries of computational power.
Why Join Us?
- Work on cutting-edge technology that will define the next decade.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Key Objectives:
As a member of Project 2026, you will be at the forefront of innovation. Your work will directly influence the roadmap for our enterprise-grade AI products, ensuring we remain leaders in the rapidly evolving tech landscape.
Responsibilities
- Lead Research & Development: Spearhead the design and implementation of quantum-classical hybrid algorithms for next-generation AI models.
- Architecture Design: Develop scalable, fault-tolerant systems capable of processing petabytes of real-time data.
- Prototype Development: Build and validate proof-of-concepts for future technologies, including predictive analytics and autonomous agents.
- Team Leadership: Mentor a team of junior data scientists and engineers, fostering a culture of continuous learning and innovation.
- Stakeholder Collaboration: Work closely with product managers and C-suite executives to translate technical requirements into business value.
- Technical Strategy: Stay ahead of industry trends, specifically focusing on the convergence of AI, Quantum Computing, and Edge IoT.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field (PhD preferred).
- Experience: 5+ years of experience in AI/ML engineering, with at least 2 years specifically in quantum computing research or advanced NLP.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and quantum frameworks such as Qiskit or Cirq.
- System Design: Strong understanding of cloud architecture (AWS, GCP, or Azure) and distributed systems.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Innovation: A proven track record of innovation and the ability to work in a fast-paced, agile environment.