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Quantum Control Engineer Jobs (NOW HIRING)

Description Quantum Machines is looking for a Quantum software Engineer to work closely with customers to design, optimize, and troubleshoot advanced quantum control workflows on real quantum ...

Quantum System Specialist

Atlanta, GA ยท On-site

$100 - $125/hr

Quantum Control User Support * Manage Quantum Control user accounts from initial setup through ... Associate degree in Computer Science, Computer Programming, Information Systems, Supply Chain ...

New

Description Quantum Machines (QM) is a global leader in quantum computing control systems. Through ... We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ...

Prototype and characterize coherent control and cooling schemes for trapped-ion qubits using laser ... Strong proficiency in programming and data analysis. * A track record of scientific communication ...

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Quantum Control Engineer information

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$77K

$88.4K

$98K

How much do quantum control engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for quantum control engineer in the United States is $88,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $94,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Quantum Control Engineer jobs?

Cities with the most Quantum Control Engineer job openings:

What are popular job titles related to Quantum Control Engineer jobs?

For Quantum Control Engineer jobs, the most frequently searched job titles are:

Infographic showing various Quantum Control Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $88,400 per year, or $42.5 per hour.

Quantum Software Engineer

Chicago, IL โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

Description
Quantum Machines is looking for a Quantum software Engineer to work closely with customers to design, optimize, and troubleshoot advanced quantum control workflows on real quantum hardware. In this role, you will serve as a technical bridge between customer use cases, experimental requirements, and robust software solutions, ensuring customers successfully deploy and scale quantum experiments using Quantum Machines' platform.
This position combines strong software engineering practices with hands-on experimental intuition. You will translate complex quantum workflows into reliable, maintainable, and customer-ready solutions, while collaborating closely with internal product, R&D, and hardware teams.
Responsibilities:
  • Work directly with customers to understand experimental goals, constraints, and system architectures
  • Design, implement, and optimize quantum control workflows tailored to customer applications
  • Troubleshoot complex software, system-level, and experiment-integration issues on real quantum hardware
  • Provide clear technical guidance, best practices, and documentation to enable customer success
  • Develop and maintain Python-based application code, tools, and reference examples
  • Contribute to scalable and maintainable software architectures for quantum control systems
  • Apply solid software engineering practices, including version control, testing, and code review
  • Collaborate cross-functionally with product, R&D, hardware, and software teams to relay customer feedback
  • Balance fast, pragmatic solutions that unblock customers with long-term, sustainable engineering improvements

Requirements
  • At least 5 years of hands-on programming experience in Python - Must.
  • M.Sc. in Computer/ SW Engineering, Physics, Applied Physics, Quantum Information Science, or a related field. Equivalent industry experience in SW engineering, System Engineering, and experimental quantum computing will also be considered.
  • Strong proficiency in Python, including experience with scientific, experimental, or systems-oriented codebases.
  • Solid understanding of software engineering fundamentals, including software architecture and Git-based workflows.
  • Strong problem-solving skills with a customer-focused mindset.
  • Ability to work independently while collaborating effectively in a multidisciplinary team.