Senior Quantum Applications Engineer

Responsibilities:

• Implement and test QEC codes within our software stack based on evolving requirements.
• Iterate upon code implementations rapidly based on experimental results.
• Develop and execute QEC simulations to guide the development of our QEC approach.
• Project the earliest feasible quantum algorithms that leverage the capabilities of our system including projecting and simulating the earliest fault-tolerant algorithms.
• Innovate on QEC codes and their software implementations, working directly with QEC theorists and quantum engineers.
• Collaborate on the execution of groundbreaking QEC experiments, working closely with quantum engineers.
• Engage with our users to help them use our systems and adapt use cases to our systems in a wide range of industries such as logistics, finance, pharmaceuticals, and materials science.

Requirements:

• MS or PhD in Physics, Chemistry, Computer Science, Electrical Engineering, or related field with a specialization in quantum computing.
• 5+ years of experience with Python programming or another general-purpose programming language.
• 3+ years of quantum computing industry experience including QEC experience and deployment of quantum algorithms.
• Expertise with one or more quantum computing SDKs like Qiskit, Q#, or CUDA-Q.
• Expertise with principles of quantum computing and quantum information science.
• Expertise in quantum error correction.
• Competence with Git version control and experience with development in a collaborative environment.
• Excellent communication and interpersonal skills with the ability to effectively communicate complex technical concepts.

Preferred Qualifications:

• PhD or postdoctoral research in Physics, Chemistry, Computer Science, Electrical Engineering, or a related field.
• Impactful publications on quantum error correcting codes.
• Experience with high performance simulations of quantum error correcting codes.
• Experience with components of QEC including decoder algorithms, lattice surgery, and magic state preparation.
• Experience with intermediate representations, particularly QIR
• Experience in use of software testing principles and practices, including unit testing, integration testing, end-to-end testing, and containerization and orchestration technologies.
• Experience in with quantum algorithms in an applied setting (e.g., building hybrid quantum/classical end-to-end solution for a meaningful use case). 
• Experience in machine learning or data science and tools like PyTorch or TensorFlow.
• Experience in use of software testing principles and practices, including unit testing, integration testing, end-to-end testing, and containerization and orchestration technologies (e.g. Docker, Kubernetes, ...).