About Blueprint
Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology.
Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams.
At Blueprint, you’ll work alongside talented people with different experiences, expertise, and perspectives. You’ll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build.
Bring your perspective. Raise the standard. Build what matters.
You will evaluate emerging hardware technologies and analyze how software workloads perform across different hardware platforms to help determine their suitability for cloud computing environments. This role focuses on performance analysis, workload measurement, and hardware/software evaluation, with opportunities to work with cutting-edge technologies and understand the tradeoffs that influence performance and efficiency. You will also develop scripts and tools, leverage AI to support data collection and analysis, organize findings, and present performance results to technical stakeholders.
ResponsibilitiesEvaluate emerging hardware technologies and assess their suitability for cloud computing workloads.
Analyze and measure the performance of key workloads across new and evolving hardware platforms.
Conduct hardware and software performance analysis to identify performance characteristics, bottlenecks, and optimization opportunities.
Develop and maintain scripts and tools to automate workload testing, data collection, and performance analysis.
Leverage AI-assisted tools and techniques to improve the collection, organization, and analysis of technical data.
Compare workload performance across hardware configurations and evaluate hardware/software tradeoffs.
Organize performance results, document findings, and present analysis to technical stakeholders.
Support technical evaluations by translating workload measurements into actionable insights.
Complete performance evaluation projects and communicate results to support technology assessment and decision-making.
2–4 years of experience in performance analysis, workload evaluation, or a related technical discipline.
2–4 years of experience with scripting for automation, data collection, analysis, or technical testing.
2–4 years of experience working with technical workloads, workload measurement, or workload performance evaluation.
Foundational knowledge of hardware technologies and how hardware and software interact to influence performance.
Experience analyzing technical data, measuring system or workload performance, and interpreting results.
Ability to evaluate performance across different hardware configurations and identify meaningful differences.
Strong analytical and problem-solving skills, with the ability to communicate technical findings clearly.
Experience documenting analysis results and presenting performance findings to technical audiences.
Experience evaluating emerging hardware technologies for cloud computing or large-scale infrastructure environments.
Familiarity with Azure workloads or other cloud computing platforms.
Experience with hardware benchmarking, workload characterization, or system-level performance testing.
Knowledge of CPU, GPU, memory, storage, networking, or other hardware components and their impact on workload performance.
Experience identifying performance bottlenecks and evaluating hardware/software tradeoffs.
Experience developing automation tools or scripts to streamline technical testing and data analysis.
Familiarity with AI-assisted tools for technical analysis, data organization, or workflow automation.
Experience presenting performance measurements and technical recommendations to cross-functional stakeholders.
At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market.
For candidates based in Washington State, the anticipated compensation range is $40.00 - $45.00 USD per hour. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final compensation and job title may vary depending on the selected candidate's qualifications.
Location and Work ArrangementThis is a remote role.(PST hours)
Benefits
Blueprint believes that healthy, supported employees do their best work. Eligible employees have access to a comprehensive benefits package that may include:
- Medical, dental, and vision coverage
- Flexible Spending Account (FSA)
- 401(k) retirement plan
- Competitive paid time off
- Parental leave
- Professional growth and development opportunities
Benefits and eligibility may vary based on role, employment status, and location.
Equal Employment Opportunity
Blueprint Technologies, LLC is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital or familial status, military or veteran status, citizenship status, or any other characteristic protected by applicable law.
Applicant Accommodations
If you need a reasonable accommodation to participate in any part of the application or interview process, please contact [email protected].
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
