We are seeking a Software Test Engineer in our Broomfield, CO location. The Software Test Engineer will be responsible for developing test plans and test scripts using the Robot Framework and writing Python scripts for automated testing. The Software Test Engineer must have a thorough understanding of the test development lifecycle and be able to work collaboratively with cross-functional teams to ensure that software products meet the required quality standards.
Quantinuum believes that employees work better, more efficiently and more collaboratively in close proximity to other employees, where ideas can be exchanged readily, and decisions can be made more quickly for the benefit of the Company and our customers. All employees should work at their assigned location; however, this role may offer the opportunity to work remotely up to 2 days per week, with approval.
All applicants for placement in safety-sensitive positions will be required to submit to a pre-employment drug test.
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Key Responsibilities:
- Develop test plans in Confluence and test cases using the Robot Framework.
- Develop automated testing infrastructure using Python or other related languages.
- Identify and fix issues when feasible. For larger problems, coordinate with the Dev team and verify the fix.
- Collaborate with developers, systems engineers, and project managers to understand requirements and ensure that software products meet requested acceptance criteria.
- Perform manual and automated testing, as well as regression testing and stress testing to identify defects and ensure software quality.
- Participate in code reviews to ensure that testability, scalability, and quality are built into the software development process.
- Continuously improve testing and software processes, tools, and methodologies
YOU MUST HAVE:
- Bachelor’s degree minimum required
- Minimum 4+ years of experience in software testing and test automation required
- Due to Contractual requirements, must be a U.S. Person defined as a U.S. citizen, permanent resident, or green card holder, workers granted asylum or refugee status.
- Due to national security requirements imposed by the U.S. Government, candidates for this position must not be a People's Republic of China national or Russian national unless the candidate is also a U.S. citizen.
WE VALUE:
- Experience using modern cloud development tools for container orchestration, such as GCP, in Amazon Web Services (AWS) and Azure
- Strong experience with the Robot Framework and Python automation.
- Understanding of software testing methodologies and the test development lifecycle
- Ability to write clear, concise, and comprehensive test plans and test cases
- Familiarity with continuous integration and continuous delivery (CI/CD) practices
- Ability to independently research and self-teach technical skills
- Excellent analytical and problem-solving skills
- Strong communication, documentation, and collaboration skills
- Familiarity with Jenkins, Git environment, Linux OS, PostgreSQL, Redis, InfluxDB, and Elasticsearch
- Candidates should expect to be immersed in a fast-paced, team-based, and challenging technical environment where an individual with talent and initiative can stand out and thrive
- Strong organizational & leadership skills; Excellent written and verbal communication skills
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$132,000 - $165,000 a year
Compensation & Benefits:
The pay range for this role is $132,000 – $165,000 annually. Actual compensation within this range may vary based on the candidate’s skills, educational background, professional experience, and unique qualifications for the role.
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Quantinuum is the world leader in quantum computing. The company’s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum’s over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution.
By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.
By joining Quantinuum, you’ll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.
What’s in it for you?
A competitive salary and innovative, game-changing work
Flexible work schedule
Employer subsidized health, dental, and vision insurance
401(k) match for student loan repayment benefit
Equity, 401k retirement savings plan + 12 Paid holidays and generous vacation + sick time
Paid parental leave
Employee discounts
Quantinuum is an equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. Know Your Rights: Workplace discrimination is illegal
Applications will be accepted on an ongoing basis, there is no application deadline for this position.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The transition of quantum computing from theoretical research to industrial deployment is fundamentally dependent on the maturation of the software stack and the establishment of rigorous verification protocols. As the sector moves toward fault-tolerant systems, the role of a Software Test Engineer is structurally necessary to bridge the gap between experimental code and production-grade stability. This function secures the quantum value chain by ensuring that the underlying control systems and user-facing software interfaces maintain high-fidelity performance under varying computational loads. Market signals from the Quantum Economic Development Consortium highlight that standardized benchmarking and automated testing are essential for mitigating the high failure costs associated with deep-tech infrastructure. By implementing systematic validation frameworks, this role type provides the structural leverage required to accelerate the commercialization of quantum-as-a-service (QaaS) offerings.
The quantum ecosystem is currently navigating a decisive shift where the primary bottleneck for adoption has moved from raw hardware development to the reliability of the integrated software layer. Within this value chain, specialized testing functions serve as the critical interface between systems engineering and cloud-delivered applications. Current industry focus lies on bridging classical and quantum capabilities at scale, which requires the synchronization of disparate software environments and the management of complex, hybrid classical-quantum workflows.
Macro constraints such as the lack of standardized testing protocols for non-deterministic systems and the fragmentation of the quantum software stack place a premium on roles that can drive interoperability. Unlike classical software sectors where CI/CD pipelines are highly mature, the quantum industry is still evolving its DevOps methodologies to handle specialized hardware constraints, such as cryogenic latencies and gate fidelity variations. This necessitates a workforce capable of adapting established software engineering practices to the unique physics-driven requirements of quantum processors.
Furthermore, the evolution of the global deep-tech sector is influenced by public-private funding cycles that increasingly mandate measurable progress in Technology Readiness Levels (TRLs). In this context, the testing layer acts as a high-authority document of progress, providing the empirical data necessary for stakeholders to assess scalability and fault tolerance. As the market moves beyond Noisy Intermediate-Scale Quantum (NISQ) benchmarks, the structural necessity for advanced automation frameworks becomes a primary determinant of whether a commercial organization can maintain competitive differentiation in the global technology race.
The capability architecture for this role type focuses on the integration of automated testing frameworks with the low-level control systems governing quantum hardware. Mastery of scriptable automation and structured test design is essential for ensuring that software kernels are optimized for the specific architectural constraints of quantum processors. This requires a deep understanding of the coupling between high-level application programming interfaces and the underlying firmware that manages hybrid executions.
These capabilities are fundamental to the throughput of technology organizations, as they enable the parallelization of hardware upgrades alongside software feature releases. By establishing deterministic verification frameworks, this function reduces the iteration friction between abstract algorithmic research and the deployment of scalable systems. Furthermore, expertise in cloud infrastructure and container orchestration ensures that quantum software products remain architecturally compatible with existing enterprise high-performance computing (HPC) environments. This structural layer of expertise is critical for maintaining long-term interoperability within the emerging quantum-classical hybrid landscape. - Accelerates the deterministic transition from laboratory-scale experiments to production-grade quantum software services
- Mitigates systemic execution risks by implementing rigorous validation protocols for high-capital quantum hardware systems
- Facilitates the integration of quantum control software into standardized enterprise cloud and high-performance computing infrastructures
- Strengthens the reliability of the quantum value chain through the development of scalable automated testing architectures
- Reduces iteration friction between fundamental systems research and the commercial deployment of software updates
- Optimizes the stability of hybrid classical-quantum workflows by managing complex software-hardware interface dependencies
- Enhances the transparency of Technology Readiness Level progression for institutional investors and strategic stakeholders
- Supports the scaling of quantum compute offerings by ensuring the reproducibility of performance across diverse hardware modalities
- Improves the interoperability of the quantum software stack through the implementation of standardized benchmarking frameworks
- Protects high-value research and development investments by identifying architectural defects early in the development lifecycle
- Orchestrates the convergence of academic software engineering practices with the practical demands of industrial-grade services
- Enables the structural growth of the quantum workforce by establishing clear methodologies for software quality assuranceIndustry Tags: Quantum Software Engineering, Automated Test Frameworks, CI/CD for Quantum, Hybrid Quantum-Classical, Systems Integration, Deep Tech DevOps, Software Quality Assurance, Benchmarking
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