1

Benchmarking Jobs in Oregon (NOW HIRING)

Experience with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows. * Experience optimizing reasoning-focused LLMs through timely engineering, quantization ...

OR · On-site

Conducts market benchmarking and competitive analyses to assess executive compensation practices and inform recommendations. * Supports the drafting of the Compensation Discussion and Analysis (CD&A ...

OR · On-site

Conducts market benchmarking and competitive analyses to assess executive compensation practices and inform recommendations. * Supports the drafting of the Compensation Discussion and Analysis (CD&A ...

OR · On-site

Conducts market benchmarking and competitive analyses to assess executive compensation practices and inform recommendations. * Supports the drafting of the Compensation Discussion and Analysis (CD&A ...

OR

$172K - $204K/yr

We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest ...

OR · On-site

$63 - $83/hr

Experience with benchmarking, cluster testing, performance validation, or compute planning for robotics, autonomy workloads. * Excellent communication skills and the ability to act as a deep ...

Support proof-of-concept testing, performance benchmarking, interoperability validation, and technical demonstrations within the Data Center CoE Innovation Lab in San Diego. * Lead cross-functional ...

Sr. Compensation Analyst

OR · Remote

$82K - $107K/yr

Conduct market benchmarking for short-term incentive and variable pay programs to assess competitiveness and support program design decisions. * Develop cost-effective compensation solutions and ...

OR

$124K - $170K/yr

Conduct ongoing market analyses and benchmarking to ensure internal equity and external competitiveness * Provide counsel on organizational design, workforce planning, and retention strategies

OR · On-site

$104K - $143K/yr

Improve the quality of voice AI systems through error analysis, data curation, metric design, benchmarking, and iterative model improvement, with a strong focus on real-world performance. * Build ...

Conduct independent model validation of existing models for benchmarking, assessment, and gauging effectiveness. Determine aspects of model drift and related data drift for the purpose of model risk ...

next page

Showing results 1-20

Benchmarking information

See Oregon salary details

$53.9K

$85K

$120.5K

How much do benchmarking jobs pay per year?

As of Jun 9, 2026, the average yearly pay for benchmarking in Oregon is $84,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $92,000.00 per year, depending on experience, location, and employer.

How does a Benchmarking Analyst typically collaborate with other departments to drive performance improvements?

Benchmarking Analysts frequently work cross-functionally, partnering with teams such as operations, finance, and quality assurance to collect data and compare organizational performance against industry standards. They facilitate workshops, share insights, and help identify actionable areas for improvement. This collaborative approach ensures that recommendations are tailored to each department's unique challenges and that initiatives are widely supported and successfully implemented.

What are the key skills and qualifications needed to thrive as a Benchmarking Analyst, and why are they important?

To thrive as a Benchmarking Analyst, you need strong analytical skills, attention to detail, and a background in business, statistics, or related fields. Familiarity with data analysis tools like Excel, SQL, or benchmarking software, as well as certifications such as Six Sigma, are often valuable. Excellent communication, critical thinking, and problem-solving abilities help you interpret data and present actionable insights to stakeholders. These skills are crucial for driving performance improvements and maintaining competitiveness by accurately comparing organizational practices against industry standards.

What is the difference between Benchmarking vs Data Analyst?

AspectBenchmarkingData Analyst
Required credentialsOften requires business or industry-specific certifications, degrees in business, economics, or related fieldsTypically requires degrees in statistics, mathematics, or computer science; certifications like CAP or Microsoft Data Analyst
Work environmentPrimarily in corporate, manufacturing, or consulting settings focusing on performance comparisonIn various industries, working with data sets, reporting, and data visualization tools
Employer and industry usageUsed by organizations to improve processes by comparing against best practicesUsed across industries for data analysis, reporting, and decision-making support

While Benchmarking focuses on comparing organizational performance to industry standards, Data Analysts interpret data to inform business decisions. Both roles require analytical skills but serve different strategic purposes within organizations.

What is benchmarking?

Benchmarking is the process of comparing a company's products, services, or processes against those of leading organizations in the industry or best practices from other industries. The goal is to identify areas where improvements can be made to increase efficiency, quality, or competitiveness. Benchmarking often involves collecting data, analyzing performance metrics, and implementing changes based on findings. This strategic approach helps organizations stay competitive and continuously improve their operations.
What are popular job titles related to Benchmarking jobs in Oregon? For Benchmarking jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Benchmarking jobs? Cities in Oregon with the most Benchmarking job openings:
Solutions Architect, Agentic AI

Solutions Architect, Agentic AI

Nvidia

OR

Full-time

Posted 8 days ago


Job description

Join NVIDIA as a Solutions Architect to own the evolution of Agentic AI for the enterprise. You will collaborate with top-tier enterprise software companies to build and deploy sophisticated AI-native systems, focusing on multi-agent coordination, RAG-integrated workflows, and accelerated inference. By mastering NVIDIA's core technologies-NIM, NeMo Framework, Dynamo, and Nemo Agent Toolkit-you will guide partners through the complexities of performance optimization and production-grade deployment. As a trusted advisor, you'll transform raw LLM capabilities into high-performance, industry-focused enterprise agents.

What you'll be doing:

  • Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.

  • Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.

  • Optimize inference performance by bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack.

  • Build hands-on PoCs and reference architectures that serve as the blueprint for production-grade generative AI pipelines.

  • Collaborate alongside Enterprise ISVs to integrate NVIDIA software into native platforms, accelerating the deployment of production workloads.

  • Collaborate with diverse internal teams to improve NVIDIA software through feedback from real-world implementations.

  • Empower partner engineering teams through technical workshops, deep-dive architecture reviews, and developer enablement.

  • Scale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale.

What we need to see:

  • BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.

  • More than 5 years of experience in deep learning, machine learning, or distributed AI systems.

  • Strong programming and debugging experience in Python, C/C++, and Linux environments.

  • Background in using deep learning libraries like PyTorch or TensorFlow.

  • Hands-on experience building LLM and generative AI applications.

  • Experience working with agentic or multi-agent AI systems employing frameworks such as:

1. LangGraph

2. LlamaIndex

3. CrewAI

4. LangChain

5. OpenAI Agents SDK or similar orchestration frameworks

  • Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.

  • Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.

  • Excellent interpersonal skills and the ability to collaborate with engineering teams, partners, and executive collaborators.

Ways to Stand Out from the Crowd:

  • Experience working with NVIDIA GPUs and AI software, such as NVIDIA NIM, NeMo Framework, NeMo Retriever, and NeMo Agent Toolkit.

  • Experience with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows.

  • Experience optimizing reasoning-focused LLMs through timely engineering, quantization, or benchmarking.

  • Familiarity with Kubernetes/OpenShift, CI/CD automation, and cloud-native deployment patterns for AI systems.

  • Experience with parallel or distributed computing environments and AI workloads optimized for GPUs.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993