Key Responsibilities: Technical & Strategic Leadership
- Define and execute the software roadmap for tools that support quantum chip design, fabrication data management, and process analysis, with physics-informed models at their core
- Develop software frameworks to integrate design, simulation, fabrication, and characterization data into a unified pipeline
- Lead the development and support the acquisition of tools for design verification, device modeling (including electromagnetic and noise modeling), and process optimization, informed by real-world physics constraints
- Support the development of Rigetti’s quantum characterization and measurement platform
- Lead the on-going design and development of the environment that knits these systems into a comprehensive integrated set of tools to develop and deliver quantum computers
Key Responsibilities: Team Leadership & Mentorship
- Build and lead a high-performing, cross-disciplinary software team (including software engineers, physicists, and data scientists)
- Support a strong platform engineering and operational mindset to enable high quality delivery at scale and speed
- Mentor and develop team members in software engineering best practices, modern software systems architecture, platform engineering, and scientific software for research and development driven environments
- Foster a culture of collaboration between software engineers, physicists, and design and fabrication teams, ensuring all teams contribute to and benefit from shared software tools
Key Responsibilities: Cross-functional Collaboration
- Partner with quantum device physicists to build or acquire software that accurately models qubit behavior and fabrication variations
- Work with foundry teams to ensure software systems capture process data and link it directly to design and performance outcomes
- Collaborate with quantum engineers, quantum performance teams to develop software frameworks that accelerate experimental data analysis, linking test results back to QPU performance, design and fabrication parameters
Key Responsibilities: Technical Execution
- Oversee the development, and architecture of data platforms and modeling tools that combine design files, fabrication process data, and device performance metrics
- Drive the development and support for tools for design rule checking (DRC), layout-vs-schematic (LVS) checks, and process-aware design verification for quantum devices.
Qualifications
- BS or equivalent degree in Software Engineering, Electrical Engineering, Physics, Applied Physics, or a related field
- 10+ years of software engineering experience, including at least 3 years in a senior technical leadership role. Ph.D. or Masters as a part of this
- Demonstrated experience building data systems that incorporate scientific models
- Demonstrated experience with software systems that manage large data sets, metadata sets, and scalable data pipelines
- Experience with streaming architectures and tools (E.g. Kafka, Kinesis, Spark Streaming)
- Proficiency and experience with Amazon’s AWS for development and production deployment and distributed computing
- Proficiency in Python and one of JavaScript or TypeScript
Exceptional Candidates Will Have One or More of the Following
- Knowledge of quantum device physics (superconducting qubits, trapped ions, or photonics), quantum information science
- Knowledge of quantum control systems and low-level hardware/software interfaces (cryogenic hardware, RF electronics, qubit calibration)
- Knowledge of fabrication processes in semiconductor or quantum systems
- Familiarity with EDA tools, process design kits (PDKs), and chip layout software (e.g., KLayout, Cadence)
- Proficiency and experience in scientific computing platforms, simulation tools, and scientific computing libraries and tools (NumPy, SciPy, PyTorch, etc.)
- Proficiency and experience in machine learning applied to scientific and operational systems for prediction and system optimization
- Proficiency and experience in a compiled language like go or rust

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