Senior Scientist, Quantum Applications
🏢 IonQ · all IonQ jobs
📍 Remote · North America
💰 $145,920 - $191,047 / year
📅 Posted 2026-08-22 · via RemoteIO
🏷 Quantum Computing,Python,C++,Qiskit,Machine Learning
Apply on original site ↗About IonQ
IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance .
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
Responsibilities
- Develop, implement, and optimize novel quantum algorithms, applications, and end-to-end workflows that will make scientific and commercial impact in areas such as computational chemistry, optimization, and machine learning
- Work with customers and partners to define and solve problems of real-world interest using IonQ trapped-ion quantum computers
- Discover innovative solutions, rigorously benchmark their performance, and publish results in high-impact, peer-reviewed journals and conferences
- Help shape team culture and create a lasting impact by supporting an initiative that delivers new scientific discoveries and innovation
You’d be a good fit with
- 6+ years of professional experience or an equivalent combination of education and experience
- Demonstrated expertise in Python and/or C++, and experience with Qiskit or similar quantum SDKs
- Hands-on expertise developing or optimizing quantum algorithms in areas such as computational chemistry, optimization, and machine learning
- Track record of delivering innovative quantum solutions demonstrated through peer-reviewed manuscripts, invited talks, open-source repositories, licenses, publications, and/or patents
- Strong foundation in key quantum computing concepts and the ability to articulate deeply technical ideas to diverse audiences, ranging from scientists and engineers to business leaders and community stakeholders
- Experience being part of a team that finds, defines, and solves problems of real-world interest, with strong collaboration skills and clear technical communication
You’d be a great fit with
- Ph.D. in computer science, mathematics, engineering, physics, or a closely related field
- Demonstrated experience contributing to customer-facing or partner-facing technical engagements, from problem definition through solution delivery
- Experience with variational quantum algorithms and hybrid quantum-classical workloads spanning CPUs, GPUs, and QPUs
- Experience developing hybrid quantum algorithms for NISQ-era systems as well as early fault-tolerant quantum computers
- Demonstrated experience with quantum algorithm resource estimation, performance benchmarking, and scaling analysis
- Proven success working with customers to define and deliver solutions
Location
Remote, US
Travel
10% domestic and international travel supporting customer engagements and technical conference participation
Job ID
1313
Compensation
The approximate base salary range for this position is $145,920 - $191,047. The total compensation package includes base, bonus, and equity.
Benefits
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject