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Qiskit Jobs (NOW HIRING)

Core4ce

Quantum Engineer SME

Springfield, VA · On-site

$86.20K - $114.90K/yr

... Qiskit, or Quantum Encoding. * 3 or more total years of experience developing algorithms from one or more topic areas of image processing, object detection, image classification, synthetic image ...

Guidehouse

Technical SETA SME - Quantum

Bethesda, MD · On-site

$100.10K - $150.40K/yr

FOUR (4) or more years of experience with scientific and experimental programming languages/tools such as Python, MATLAB, LabVIEW, or languages used in quantum research (e.g., Qiskit, Cirq, or Q#

Nvidia

Senior Quantum Software Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

Proficiency and experience with quantum algorithms, hybrid quantum-classical workflows and quantum programming frameworks such as CUDA-Q, Qiskit, PennyLane, Cirq, QTip, Stim, or Braket is a strong ...

Infleqtion

Quantum Software Engineer

Chicago, IL

Experience with open-source quantum software frameworks such as Cirq or Qiskit; Ideal candidates will have experience not only using these libraries but also modifying them * Demonstrated ability to ...

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How much do qiskit jobs pay per hour?

As of May 30, 2026, the average hourly pay for qiskit in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a Qiskit job?

In Qiskit, a job refers to a quantum computation task that is executed on a backend, such as a quantum simulator or a real quantum device. When you submit a circuit for execution using Qiskit, it is packaged as a job and sent to the selected backend. The job runs asynchronously, meaning you can check its status, retrieve results, and manage multiple jobs simultaneously. This allows efficient execution of quantum programs on cloud-based or local quantum hardware.

What are the key skills and qualifications needed to thrive in the Qiskit position, and why are they important?

To thrive in a Qiskit-related role, you need a strong background in quantum computing, programming (especially Python), and a degree in physics, computer science, or a related field. Proficiency with Qiskit—the open-source quantum computing framework—as well as experience in using Jupyter Notebooks and cloud quantum platforms, is typically required. Strong analytical thinking, collaboration, and effective communication are valuable soft skills. These skills are essential for building algorithms, troubleshooting quantum circuits, and working effectively in multi-disciplinary research or development teams.

What are some typical responsibilities for professionals working in Qiskit roles?

Professionals working in Qiskit roles often design, simulate, and implement quantum algorithms, troubleshoot code, and collaborate with both quantum physicists and software engineers. Their daily tasks may include developing and optimizing circuits, contributing to open-source projects, and writing technical documentation to support the community. Depending on the organization, they may also lead workshops or participate in research initiatives. Working with Qiskit offers the opportunity to be at the forefront of quantum technology, and often includes frequent collaboration with diverse, international teams.
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Qiskit jobs near you
Infographic showing various Qiskit job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 97% Full Time, and 1% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Quantum Software Engineer - Machine Learning

Infleqtion

Chicago, IL • On-site

$100/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

We are seeking a Quantum Software Engineer with expertise in quantum-inspired classical machine learning and quantum machine learning (QML). This role will focus on developing advanced ML models and algorithms that leverage tensor networks and related structured representations, supporting applications across quantum computing and quantum sensing platforms.
As a member of the Quantum Software division, you will work closely with teams spanning quantum computing and sensing hardware and algorithms to design scalable learning architectures that operate in hybrid classical-quantum workflows. The ideal candidate brings strong foundations in machine learning and mathematical physics, along with hands-on experience developing novel model architectures for structured, high-dimensional data.
This position offers the opportunity to contribute to next-generation ML techniques that bridge classical and quantum paradigms for real-world deployment.
Job Responsibilities
The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned:
  • Develop and implement quantum-inspired machine learning models, including tensor network-based architectures (e.g., MPS/TTN/PEPS-inspired models) for structured data analysis
  • Design and evaluate quantum machine learning algorithms suitable for near-term and fault-tolerant quantum computers
  • Build hybrid classical-quantum workflows integrating classical ML pipelines with quantum processors and/or quantum sensors
  • Develop ML models for signal processing, state estimation, calibration, and noise mitigation in quantum sensing systems
  • Collaborate with hardware and experimental teams to translate physical system characteristics into learning-based models
  • Optimize models for performance, scalability, and deployment in HPC and low-SWaP environments
  • Stay current with emerging research in tensor networks, quantum information science, and advanced ML architectures
  • Contribute to research publications, technical reports, and conference presentations
  • Provide technical mentorship and contribute to a collaborative, interdisciplinary research environment

Requirements
Required Qualifications
  • BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a closely related field
  • Strong experience developing, training, and optimizing machine learning models
  • Demonstrated experience with tensor networks, structured linear algebra, or physics-informed ML architectures
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)
  • Experience working in scientific computing and HPC environments leveraging GPU acceleration
  • Strong mathematical foundation in linear algebra, probability, and optimization
  • Ability to communicate complex theoretical and experimental concepts clearly across teams and to external customers
  • Demonstrated ability to work effectively in a collaborative, cross-functional, and fast-paced R&D environment
  • Resourceful problem-solver with a track record of delivering research ideas into prototype or production systems
  • Willingness to travel domestically and potentially internationally up to 10%

Preferred Qualifications
  • Ph.D. in Computer Science, Physics, Applied Mathematics, or a related field
  • Research experience in quantum machine learning and/or quantum information science
  • Experience implementing variational quantum algorithms, parameterized quantum circuits, or quantum kernel methods
  • Experience developing tensor network algorithms for large-scale modeling or simulation
  • Familiarity with quantum SDKs (e.g., Qiskit, Cirq, Braket, PennyLane)
  • Strong publication record in machine learning, quantum computing, or computational physics
  • Experience working with quantum sensor data or quantum hardware calibration workflows

Benefits
  • Salary range: $135,000 to $160,000
  • 100% company-paid medical, dental, vision, short/long-term disability
  • Employer-funded Health Savings Account
  • Unlimited PTO
  • 401(k) match
  • Company-paid Life and AD&D Insurance
  • Flexible Savings Account
  • Paid FMLA, Maternity/Paternity Leave
  • Employee Assistance Program
  • Student Loan Repayment
  • Equity Program

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