Senior Scientist – Fault-Tolerant Quantum Algorithms

Senior Scientist – Fault-Tolerant Quantum Algorithms

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more.

IonQ is at the forefront of this technological revolution.

We are looking for a Senior Scientist – Fault-Tolerant Quantum Algorithms to be a cross-functional team that uses IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Senior Scientist – Fault-Tolerant Quantum Algorithms, you’ll be part of a multi-generational journey to solve the world’s most complex problems using the world’s best quantum computers built at IonQ.

As a deep technical expert on fault-tolerant algorithms, you will help develop next generation quantum algorithms that are poised to exceed state-of-the-art classical methods. You will develop core IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with internal and external customers/partners to brainstorm new ideas, contribute to multi-year initiatives, and represent IonQ at high-visibility technical conferences (often all in a single day)!

Responsibilities:

• Develop fault-tolerant quantum solutions that can make a large scientific and commercial impact across a wide range of industry verticals
• Be part of a client-facing team that finds, defines and solves problems of real-world interest using IonQ trapped-ion quantum computers
• Contribute technical expertise toward comparisons of FTQC algorithms vs NISQ algorithms vs classical HPC algorithms. Contribute knowledge of metrics and tools (classical and quantum) to evaluate and communicate pros/cons, current state-of-the-art, scaling behavior, trade offs, cross-over points, etc.
• Discover foundational IP and publish results in high-impact-factor peer-reviewed journals and conferences

You’d be a good fit with:

• 6+ years of professional experience or an equivalent combination of education and experience
• Documented expertise in FTQC algorithms with line-of-sight to end-customer value i.e. millions of qubits, billions of gates
• Ability to contribute toward the FTQC algorithm ecosystem including the development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI) and community (economic development, standards).
• Relentless dedication to optimizing algorithm performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization
• Proven track record of domain expertise in fault-tolerant quantum computing, demonstrated through invited talks, repos, licenses, publications, and/or patents
• Experience being part of a team that finds, defines, and solves problems of real-world interest. Good team player with excellent communication skills.

You’d be a great fit with:

• Ph.D. in computer science, math, engineering, physics, or related fields
• Experience supporting writing and executing on government contracts
• Demonstrated expertise in C++, Python, Qiskit or similar quantum SDK
• Demonstrated experience benchmarking quantum algorithms using varied metrics
• Success working directly with customers to define and deliver solutions
• Experience developing hybrid end-to-end solutions in a production or cloud environment; knowledge of CI/CD a plus

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US

Travel: Up to 10% domestic and international

Job : 1059

Base salary range: $141,670 - $185,482. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.