Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Apex Horizon Labs is seeking a visionary Quantum Research Engineer to spearhead our breakthrough initiatives in quantum computing and synthetic intelligence integration. We are building the infrastructure that will redefine reality as we know it, and we need a pioneer to lead the charge.
In this pivotal role, you will bridge the gap between theoretical physics and practical engineering, developing the algorithms that will power the next generation of global computing. You will work in a state-of-the-art facility in the heart of San Francisco, collaborating with world-class researchers to solve problems that were previously thought impossible.
In this pivotal role, you will bridge the gap between theoretical physics and practical engineering, developing the algorithms that will power the next generation of global computing. You will work in a state-of-the-art facility in the heart of San Francisco, collaborating with world-class researchers to solve problems that were previously thought impossible.
Responsibilities
- Design and implement scalable quantum algorithms for complex problem-solving, focusing on near-term quantum advantage.
- Develop and optimize error-correction protocols to ensure qubit stability and system reliability.
- Collaborate with cross-functional teams to integrate quantum solutions into high-performance classical systems.
- Conduct rigorous testing and simulation of quantum hardware architectures to prepare for the 2026 market release.
- Stay ahead of global technological trends and contribute to the scientific community through publications and patents.
- Mentor junior engineers and provide technical leadership in research and development sprints.
Qualifications
- PhD or Master’s degree in Physics, Computer Science, Mathematics, or a related engineering field.
- 5+ years of experience in quantum mechanics, quantum information theory, or high-performance computing.
- Proficiency in Python, C++, and quantum simulation libraries (e.g., Qiskit, Cirq, or PyQuil).
- Strong understanding of classical and quantum error correction techniques (e.g., Surface Code, LDPC).
- Experience with cloud-based quantum computing platforms (AWS Braket, Azure Quantum) is highly preferred.
- Demonstrated ability to lead technical research projects from concept to prototype.