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Quantum Algorithm Jobs in Springfield, MA (NOW HIRING)

Quantum Algorithm information

See Springfield, MA salary details

$33

$78

$103

How much do quantum algorithm jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for quantum algorithm in Springfield, MA is $78.22, according to ZipRecruiter salary data. Most workers in this role earn between $66.59 and $88.65 per hour, depending on experience, location, and employer.

Is quantum computing a good career?

A career as a quantum algorithm developer involves working with quantum programming languages like Qiskit or Cirq and understanding quantum mechanics and computer science. The field is growing rapidly with increasing research funding and industry interest, offering opportunities in academia, tech companies, and startups. Strong mathematical, programming, and problem-solving skills are essential for success in this area.

How to become a quantum algorithm developer?

To become a quantum algorithm developer, you should have a strong background in quantum computing, linear algebra, and programming languages such as Python. Gaining experience with quantum programming frameworks like Qiskit or Cirq and pursuing relevant degrees or certifications in quantum information science can also be beneficial.

How much does a quantum algorithm developer make?

Quantum algorithm developers typically earn between $100,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in quantum computing tools like Qiskit or Cirq can earn higher salaries, often exceeding $200,000.

Is Q-Ctrl a real company?

Q-Ctrl is a real company that specializes in developing quantum control solutions and software for quantum computing. It provides tools and expertise to help researchers and organizations improve quantum hardware performance and error correction. The company is known for its work in the quantum technology industry and collaborates with various research institutions and industry partners.

What are quantum algorithms?

Quantum algorithms are specialized sets of instructions designed to run on quantum computers, utilizing the principles of quantum mechanics such as superposition and entanglement. Unlike classical algorithms, quantum algorithms can solve certain problems much faster, such as factoring large numbers or searching databases. Notable examples include Shor's algorithm for integer factorization and Grover's algorithm for unsorted database search. As quantum computers develop, quantum algorithms are expected to revolutionize fields like cryptography, optimization, and materials science.

What are the typical collaboration opportunities for professionals working in quantum algorithm development?

Professionals in quantum algorithm development often work closely with quantum hardware engineers, classical algorithm designers, and domain experts in fields like cryptography or chemistry. Collaboration is essential, as quantum algorithm development requires aligning theoretical insights with the practical constraints of current quantum devices. Team members frequently participate in interdisciplinary meetings and code reviews, ensuring that algorithms are both innovative and implementable. This collaborative environment fosters learning and can open pathways to roles in research, technical leadership, or product management within quantum computing.

What are the key skills and qualifications needed to thrive as a Quantum Algorithm Developer, and why are they important?

To thrive as a Quantum Algorithm Developer, you need a strong background in quantum mechanics, computer science, and mathematics, often supported by advanced degrees in physics, computer science, or a related field. Familiarity with quantum programming languages (like Qiskit or Cirq), quantum computing platforms, and knowledge of classical and quantum algorithms are essential. Creative problem-solving, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills. These skills enable the development of effective quantum solutions and collaboration with interdisciplinary teams in a rapidly evolving technological landscape.
What cities near Springfield, MA are hiring for Quantum Algorithm jobs? Cities near Springfield, MA with the most Quantum Algorithm job openings:
Infographic showing various Quantum Algorithm job openings in Springfield, MA as of June 2026, with employment types broken down into 2% Locum Tenens, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $162,693 per year, or $78.2 per hour.
Research Scientist - Autonomous Collaborative Systems

Research Scientist - Autonomous Collaborative Systems

Raytheon Technologies

East Hartford, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Date Posted:
2026-07-08
Country:
United States of America
Location:
US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of "U.S. Person" go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.
Position Overview:
RTX Technology Research Center (RTRC) has a newly created position of Research Scientist in Autonomous Collaborative Systems (ACS). In this role, you will join the ACS team under the Artificial Intelligence (AI) discipline at RTRC. The team is engaged in a wide variety of research areas including computer vision, decision making, trustworthy and explainable AI and human-machine symbiosis for a variety of high impact real world problems in the aerospace, manufacturing, and defense industries. Examples of relevant problems include multi-agent coordination, self-functioning systems of systems, cybersecurity, automated visual inspection of parts, and robotic perception and manipulation.
What You Will Do:
  • Designing and developing algorithms for perception, decision-making, human-machine collaboration, networked and teamed systems, and next generation autonomous platforms.
  • Prototyping and simulating autonomous systems by writing code, developing software (simulation and visualization), interfacing software/hardware, and supporting real-time demonstrations of autonomy in live, virtual, and simulation test environments.
  • Leading and supporting externally and internally sponsored programs, writing external and internal research proposals.
  • Building relationships to support partnership with leading, worldwide institutions (university, government agencies, national labs, and professional organizations) and meet organizational objectives.
  • Disseminating research results through reports, conference proceedings, presentations, and technical papers for archival journals.
  • The ideal candidate will possess a strong foundation in AI and Autonomy, demonstrated by a track record of innovation through patents, contributions to research, and/or publications in prestigious venues. Relevant conferences include NeurIPS (Conference on Neural Information Processing Systems), CVPR (Computer Vision and Pattern Recognition Conference), ICRA (International Conference on Robotics and Automation), IROS (International Conference on Intelligent Robots and Systems), RSS (Robotics: Science and Systems), and AAAI (Association for the Advancement of Artificial Intelligence), among other leading research forums.

Qualifications You Must Have:
  • Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
  • PhD Required
  • Hands-on experience in working with autonomous systems, artificial intelligence, deep/reinforcement/machine learning, robotics, dynamics and controls, flight test and evaluation, modeling & simulation, data science, and statistical analysis.
  • Experience applying AI based perception and/or Reinforcement Learning techniques to solve real world problems

Qualifications We Prefer:
  • Experience using a modern software development environment including automated testing, continuous integration, and deployment, and "DevSecOps" environments.
  • Experience setting technical direction from initiation to execution of projects and managing technical deliverables for a small team.
  • Experience with PyTorch/TensorFlow, ROS, MATLAB; Real-time control prototyping and Software/Hardware-in-the-Loop testing
  • Strong analytical, problem-solving, written/verbal communication, and interpersonal skills with track record of teamwork, adaptability, innovation, and initiative.
  • Clear and effective communication with all levels of management, business development, researchers, and customers.
  • Ability to work independently with limited direction and in multidisciplinary environment.
  • Languages/Frameworks: Python, C++; cloud computing, and configuration management.
  • Broad awareness of advancements in intelligent autonomous systems

Work Location
This is a hybrid role, Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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