Job Description
We are revolutionizing the future of technology by building the world's most advanced quantum computing infrastructure. We are seeking a visionary Senior Quantum Software Engineer to join our elite team in Austin, TX. In this role, you will bridge the gap between theoretical physics and practical software engineering, designing algorithms that will solve complex problems currently deemed impossible for classical computers.
If you are passionate about the quantum frontier and want to shape the landscape of technology in 2026 and beyond, we want to hear from you.
Why Join Us?
- Work with cutting-edge quantum hardware and simulators.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in Austin.
- Access to continuous learning and research resources.
Responsibilities
- Design, implement, and optimize quantum circuits and algorithms using Qiskit, Cirq, and custom frameworks.
- Develop hybrid quantum-classical machine learning models to process large datasets.
- Conduct research on quantum error mitigation and fault tolerance techniques.
- Collaborate with cross-functional teams of physicists and hardware engineers to translate theoretical models into executable code.
- Write clean, maintainable, and scalable code that adheres to industry best practices.
- Contribute to open-source quantum software initiatives and the broader academic community.
- Mentor junior engineers and provide technical guidance on quantum architecture.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- Proven experience in quantum computing, specifically with at least one major framework (Qiskit, Cirq, or Forest/Rigetti).
- Strong proficiency in Python, C++, and CUDA.
- Deep understanding of linear algebra, probability theory, and quantum mechanics fundamentals.
- Experience with cloud-based quantum computing platforms (IBM Quantum Experience, AWS Braket, or Google Cirq).
- Excellent problem-solving skills and the ability to work in a fast-paced, research-driven environment.
- Strong communication skills, with the ability to explain complex technical concepts to diverse audiences.