Job Description
We are at the precipice of the next industrial revolution. 2026 Horizon is not just predicting the future; we are architecting it. We are seeking a visionary Lead Quantum Algorithm Engineer to pioneer the computational models that will define the next decade. If you are ready to bridge the gap between theoretical physics and practical application, this is your opportunity to lead a world-class team in the heart of Silicon Valley.
We are building the infrastructure for tomorrow, today. In this role, you will spearhead the development of proprietary quantum algorithms designed to solve complex optimization problems that classical computers cannot handle. You will work directly with hardware architects to ensure software scalability and integrity on our cutting-edge quantum processors.
We are building the infrastructure for tomorrow, today. In this role, you will spearhead the development of proprietary quantum algorithms designed to solve complex optimization problems that classical computers cannot handle. You will work directly with hardware architects to ensure software scalability and integrity on our cutting-edge quantum processors.
Responsibilities
- Spearhead the design and implementation of scalable quantum algorithms for optimization and machine learning applications.
- Collaborate closely with hardware engineering teams to maximize qubit coherence and minimize error rates in software stack.
- Mentor a team of junior quantum researchers and define best practices for quantum software development and testing.
- Translate complex theoretical physics concepts into executable quantum circuits using industry-standard frameworks.
- Conduct rigorous performance benchmarking and analysis to drive continuous improvement of algorithmic efficiency.
- Communicate technical findings and architectural strategies to stakeholders across product, engineering, and executive teams.
Qualifications
- Master’s degree or PhD in Physics, Computer Science, Mathematics, or a related quantitative field.
- Proven experience (5+ years) in quantum computing, specifically with frameworks such as Qiskit, Cirq, Pennylane, or Forest.
- Strong proficiency in Python and C++ with a deep understanding of data structures and algorithmic complexity.
- Experience with hybrid quantum-classical machine learning models is highly desirable.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative, and experimental environment.
- Strong verbal and written communication skills for technical documentation and stakeholder presentation.