Job Description
We are building the infrastructure for the post-silicon era. Nexus Horizon Labs is seeking a visionary Lead AI & Quantum Integration Engineer to spearhead our next-generation research division. If you are passionate about reshaping the technological landscape and want to define the standards for 2026 and beyond, we want you on our team.
In this role, you will bridge the gap between classical artificial intelligence and emerging quantum computing paradigms. You will lead a world-class team of researchers and engineers to deploy scalable, fault-tolerant systems that redefine what is possible in data processing and generative modeling.
Why Join Us?
• Work on cutting-edge projects that will define the future of tech.
• Competitive equity package and top-tier compensation.
• Flexible remote-first policy with a hub in San Francisco.
Responsibilities
- Design and architect hybrid quantum-classical algorithms capable of solving complex optimization problems.
- Lead the integration of Generative AI models (LLMs) with quantum processors to enhance computational efficiency.
- Establish best practices for software development, testing, and deployment in a high-performance computing environment.
- Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
- Collaborate with cross-functional teams to translate theoretical research into tangible product features.
- Ensure system scalability, security, and reliability for mission-critical applications.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI or Quantum Mechanics.
- 10+ years of professional experience in software engineering, with at least 4 years in a leadership or senior architecture role.
- Deep expertise in Python, Rust, and C++ with a strong understanding of distributed systems.
- Hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Proven track record of deploying large-scale machine learning models in production environments.
- Strong understanding of cryptographic protocols and data privacy standards.