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How much do job benchmarking jobs pay per year?

As of Aug 12, 2026, the average yearly pay for job benchmarking in the United States is $80,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Job Benchmarking vs Job Analysis?

AspectJob BenchmarkingJob Analysis
PurposeCompare jobs across organizations to establish salary standards and industry benchmarksIdentify specific duties, responsibilities, and requirements of a particular job
FocusExternal comparison and market positioningInternal understanding of a specific role
Data UsedSalary data, industry standards, market trendsJob duties, skills, work environment, qualifications
ApplicationCompensation planning, HR strategy, market competitivenessJob design, recruitment, performance evaluation

While Job Benchmarking compares roles across organizations to set competitive salary standards, Job Analysis focuses on understanding the specific duties and requirements of a single job within an organization. Both are essential HR tools but serve different purposes in workforce management.

What is an example of a job benchmarking?

An example of job benchmarking involves comparing the responsibilities, skills, and compensation of a specific role, such as a marketing manager, against similar positions in other organizations to establish industry standards. This process often uses salary surveys and job analysis tools to ensure competitive and equitable pay structures.
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What job categories do people searching Job Benchmarking jobs look for? The top searched job categories for Job Benchmarking jobs are:
Job Benchmarking jobs near you
Infographic showing various Job Benchmarking job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $80,386 per year, or $38.6 per hour.

Quantum Scientist - Time-to-Solution & Benchmarking

QuEra Computing, Inc.

Albuquerque, NM • On-site

Full-time

Re-posted 22 days ago

Job description

Summary

QuEra Computing is seeking a Quantum Scientist to develop system- and algorithm-level performance models for large-scale neutral-atom quantum computers. This role focuses on translating device- and architecture-level models into quantitative estimates of algorithmic fidelity, runtime, and time-to-solution for representative quantum workloads.

Working at the interface of quantum algorithms, architecture and benchmarking, you will analyze how hardware constraints and effective error models impact end-to-end computational performance. You will develop system-level performance and runtime models that map device and architecture characteristics to algorithmic success probability, throughput, and time-to-solution. You will collaborate closely with hardware theory, experimental, and application development teams. Your work will directly support internal design decisions and external benchmarking efforts, including participation in programs such as DARPA's Quantum Benchmarking Initiative (QBI). The ideal candidate combines deep theoretical understanding with practical data-driven insight.

Qualifications

  • 5+ years of experience in performance modeling, simulation, or analysis of quantum systems or other complex computational/physical systems.
  • Strong background in quantum information science, computational physics, or a closely related quantitative discipline.
  • Proficiency in numerical modeling and data analysis using Python or Julia.
  • Demonstrated ability to analyze experimental or simulated data and correlate results with abstracted models.
  • Strong written and verbal communication skills for technical documentation and cross-disciplinary collaboration.

Preferred Qualifications

  • Experience with benchmarking or performance modeling in quantum computing platforms (neutral atoms, ions, superconducting qubits, or similar).
  • Experience developing or using abstracted error and performance models to evaluate system- and algorithm-level behavior.
  • Prior participation in federally funded research programs (e.g., DARPA, DOE) or large collaborative research efforts.
  • Track record of publications or technical contributions related to system-level performance analysis or benchmarking.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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