Job Description
Join the Architects of the Future.
We are on a mission to redefine the boundaries of computation by 2026. Nebula Dynamics is pioneering the next generation of quantum processors, and we are seeking a visionary Quantum Software Engineer to join our elite R&D team in San Francisco.
In this pivotal role, you will bridge the gap between theoretical physics and practical code. You won't just be writing scripts; you will be crafting the algorithms that power the digital infrastructure of tomorrow. If you are driven by the challenge of solving problems currently deemed impossible for classical computers, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that will define the 2026 computing landscape.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to state-of-the-art quantum computing resources and mentorship from industry leaders.
Responsibilities
- Design, implement, and optimize quantum algorithms for complex optimization, simulation, and machine learning tasks.
- Develop error-correcting codes and fault-tolerant software stacks to ensure quantum system stability.
- Build hybrid classical-quantum architectures to integrate quantum capabilities with existing legacy systems.
- Debug quantum circuits and minimize decoherence errors to maximize qubit fidelity.
- Conduct rigorous testing and validation of quantum software on various hardware platforms.
- Collaborate closely with physicists and hardware engineers to translate theoretical breakthroughs into deployable software solutions.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
- Deep understanding of quantum mechanics, linear algebra, and probability theory.
- Proven experience with quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
- Proficiency in Python, C++, or CUDA for classical co-processing and software integration.
- Demonstrated experience in algorithm design, complexity analysis, and high-performance computing.