Job Description
Are you ready to architect the solutions of 2026? Nexus Horizon Labs is looking for a visionary Future-Ready AI & Robotics Engineer to lead the next generation of intelligent systems. Join our elite team in San Francisco and define the technological landscape of the future.
We are on the cutting edge of Quantum Computing and Artificial General Intelligence (AGI). If you are passionate about pushing the boundaries of what is possible and want to build systems that will define the decade, we want to meet you.
Why Join Us?
- Work on revolutionary projects that impact billions.
- Top-tier compensation package with equity.
- Access to state-of-the-art quantum hardware.
- A culture of innovation and high-performance engineering.
Core Responsibilities
- Design, develop, and deploy advanced machine learning models tailored for the 2026 tech stack.
- Collaborate with quantum physicists to integrate classical AI with quantum algorithms.
- Optimize neural networks for real-time processing on next-gen hardware.
- Lead the technical roadmap for our autonomous robotics division.
- Mentor junior engineers and foster a culture of continuous learning.
- Conduct rigorous research to validate new AI methodologies.
Qualifications
- Ph.D. in Computer Science, Robotics, or a related field (or equivalent extensive experience).
- Deep expertise in Python, C++, and TensorFlow/PyTorch.
- Strong understanding of quantum computing principles and Qiskit.
- Proven track record of leading complex technical projects.
- Excellent problem-solving skills and ability to work in a fast-paced, high-stakes environment.
Responsibilities
- Design, develop, and deploy advanced machine learning models tailored for the 2026 tech stack.
- Collaborate with quantum physicists to integrate classical AI with quantum algorithms.
- Optimize neural networks for real-time processing on next-gen hardware.
- Lead the technical roadmap for our autonomous robotics division.
- Mentor junior engineers and foster a culture of continuous learning.
- Conduct rigorous research to validate new AI methodologies.
Qualifications
- Ph.D. in Computer Science, Robotics, or a related field (or equivalent extensive experience).
- Deep expertise in Python, C++, and TensorFlow/PyTorch.
- Strong understanding of quantum computing principles and Qiskit.
- Proven track record of leading complex technical projects.
- Excellent problem-solving skills and ability to work in a fast-paced, high-stakes environment.