We are seeking a Quantum Compiler Test Engineer in our Broomfield, CO location to design and execute testing strategies that validate the behavior, correctness, and performance of our quantum compiler stack. This role focuses on black-box validation of compiled quantum programs, ensuring the compiler generates correct, efficient, and hardware-compatible circuits. This role will also contribute to quantum benchmarking and validation frameworks, particularly as the system evolves toward Quantum Error Correction (QEC). If you want to work at the intersection of modern software engineering and cutting-edge quantum computing technology, please apply!
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Key Responsibilities:
- Design and implement black-box testing frameworks to validate quantum compiler behavior.
- Develop test plans and test scripts to detect unwanted behaviors such as invalid or inefficient qubit transportation operations, missed parallel gate execution opportunities, incorrect gate scheduling or routing.
- Validate compiled circuits against expected logical and physical constraints of the hardware architecture.
- Analyze compiled circuits for metrics such as circuit depth, parallelism, transportation overhead, resource utilization.
- Develop validation tests for QEC readiness such as logical qubit operations, and error-correction cycles.
- Identify and triage compiler misbehaviors, producing actionable reports for compiler engineers.
YOU MUST HAVE:
- Bachelor’s degree minimum
- 5+ years of collegiate and/or industry software development experience
- 3+ years of post-graduate experience in Python, Qiskit, Cirq, pytket, Guppy, Q#, QASM, or other scientific programming language.
- Due to Contractual requirements, must be a U.S. Person defined as, 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:
- Advanced degree (Master's/PhD) in Quantum Physics, Quantum Computing, Computer Science, or related field preferred.
- Familiarity with quantum benchmarking techniques (e.g., randomized benchmarking, cross-entropy benchmarking).
- Understanding of quantum error correction (QEC) concepts and protocols.
- Experience analyzing circuit scheduling, routing, or hardware constraints.
- Excellent communication skills, especially in explaining technical concepts to non-technical stakeholders
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$130,000 - $145,000 a year
Compensation & Benefits:
Non-Incentive Eligible
The pay range for this role is $130,000 – $145,000 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
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The emergence of fault-tolerant quantum computing necessitates a structural shift toward rigorous validation of the software-to-hardware interface, specifically within the compiler stack. This role exists to bridge the critical gap between high-level algorithmic intent and the physical constraints of quantum processing units, ensuring that logical operations are accurately and efficiently mapped to hardware-specific instructions. Within the quantum value chain, the compiler test function serves as a primary gatekeeper for system reliability and performance, directly impacting the fidelity of executed circuits. Market signals indicate that as the industry moves toward Quantum Error Correction, the complexity of verifying these translations exceeds traditional software testing paradigms, requiring specialized expertise in quantum benchmarking and architectural constraints. This function is essential for mitigating the risk of silent errors and suboptimal resource utilization, which are significant bottlenecks to achieving practical quantum advantage. By codifying correctness and efficiency at the compilation layer, this role enables the deterministic scaling of quantum applications across diverse hardware modalities.
The quantum technology sector is currently navigating a transition from experimental prototypes to modular, production-ready systems, a phase characterized by the increasing maturity of the full-stack architecture. Within this ecosystem, the software and tooling layer acts as the vital intermediary that abstracts hardware complexity for end-users, yet it remains susceptible to integration friction and TRL mismatches. A major macro constraint is the scarcity of talent capable of applying classical software quality assurance principles to the probabilistic and non-intuitive domain of quantum information science. As vendor fragmentation persists, the ability to validate compilers against evolving logical and physical qubit constraints becomes a prerequisite for cross-platform interoperability and hardware-agnostic software development.
Sector dynamics are increasingly influenced by the requirement for hybrid classical-quantum workflows, where the compiler must orchestrate complex resource scheduling and transportation operations in real-time. This necessitates a move away from simple functional testing toward comprehensive benchmarking frameworks that can detect nuanced performance regressions or invalid gate scheduling. Ongoing ecosystem initiatives are focused on standardizing these validation protocols to accelerate the readiness of systems for industrial-scale applications. The reliability of the compiler stack is therefore not merely a technical requirement but a strategic necessity for maintaining public and private investment confidence during the scaling phase.
Furthermore, the integration of specialized hardware into high-performance computing (HPC) environments introduces new infrastructure dependencies. Validating that a compiler generates hardware-compatible circuits while optimizing for metrics like circuit depth and parallelism is critical for maximizing the utility of limited quantum resources. Without robust validation at this intersection, the transition toward logical qubit operations and error-correction cycles remains stalled by the inability to verify the underlying instruction sets. Consequently, the compiler testing function is central to the global effort to establish a stable and scalable quantum software ecosystem.
The technical architecture for this role type is centered on the intersection of automated software verification and quantum circuit analysis. Capability domains include the development of black-box testing frameworks that evaluate the structural integrity of compiled programs without requiring access to internal compiler logic. This involves the application of advanced tooling layers such as domain-specific scientific programming languages and quantum assembly formats to analyze circuit depth, gate parallelism, and resource utilization. These capabilities are fundamental for establishing the structural throughput required to move from small-scale experiments to complex, multi-gate quantum algorithms.
Expertise in quantum benchmarking techniques and error-correction protocols serves as a primary mechanism for ensuring the stability of the hardware-software interface. By validating compiled circuits against the rigorous logical and physical constraints of specific architectures, this role facilitates the cross-functional coupling of software engineering and quantum physics. This technical interface is essential for identifying misbehaviors in gate scheduling or qubit transportation that could otherwise result in hardware-level execution failures. Ultimately, these capabilities ensure that the software stack is resilient enough to support the maturation of fault-tolerant quantum systems.
• Standardizes the validation frameworks required for the reliable translation of quantum algorithms into hardware instructions
• Mitigates systemic risks associated with silent compiler errors in high-performance quantum computing environments
• Facilitates the accelerated adoption of quantum technologies by ensuring the correctness and efficiency of the software stack
• Harmonizes software quality assurance protocols with the unique physical constraints of quantum processing architectures
• Reduces integration friction between high-level quantum programming languages and low-level hardware control systems
• Strengthens the reliability of the quantum value chain through proactive benchmarking and performance validation
• Enhances the market readiness of quantum-as-a-service platforms via standardized circuit verification processes
• Shortens the iteration cycle between hardware development and software optimization through automated error detection
• Supports the deterministic scaling of quantum operations by validating readiness for logical qubit and error-correction cycles
• Improves the interoperability of quantum software tools across diverse hardware backends and modalities
• Safeguards the integrity of system-level performance benchmarks within a highly competitive global technology landscape
• Optimizes the alignment of software development cycles with the long-term TRL progression of fault-tolerant systems
Industry Tags: Quantum Computing, Software Engineering, Compiler Validation, Quantum Error Correction, System Benchmarking, Circuit Optimization, Quality Assurance, Full-Stack Quantum, Technical Risk Management, Hardware-Software Integration
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