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Climate Research Phd Jobs (NOW HIRING)

Nvidia

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

PhD or Research experience. * GPU driver experience. * Knowledge of GPU-accelerated workloads ... climate research.With the introduction of theGrace CPU Superchip, and more recently, the ...

Nvidia

Senior CPU Performance Architect

Austin, TX · On-site

$165K/yr

PhD or Research experience. * GPU driver experience. * Knowledge of GPU-accelerated workloads ... climate research.With the introduction of theGrace CPU Superchip, and more recently, the ...

Nvidia

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

PhD or Research experience. GPU driver experience. Knowledge of GPU-accelerated workloads and ... climate research. With the introduction of the Grace CPU Superchip, and more recently, the ...

Nvidia

Senior CPU Performance Architect

Santa Clara, CA · On-site

$196K/yr

PhD or Research experience. * GPU driver experience. * Knowledge of GPU-accelerated workloads ... climate research.With the introduction of theGrace CPU Superchip, and more recently, the ...

Nvidia

Senior CPU Performance Architect

Santa Clara, CA · On-site

$196K/yr

PhD or Research experience. GPU driver experience. Knowledge of GPU-accelerated workloads and ... climate research. With the introduction of the Grace CPU Superchip, and more recently, the ...

Mafix

R&D Scientist

Seattle, WA · On-site

We are looking for team members excited to unlock the power of abundant rocks towards a climate ... Qualifications: * PhD (or equivalent Masters + Experience, or BS + Experience) in Chemistry ...

Mafix

R&D Scientist

Seattle, WA · On-site

We are looking for team members excited to unlock the power of abundant rocks towards a climate ... Qualifications: * PhD (or equivalent Masters + Experience, or BS + Experience) in Chemistry ...

Nvidia

Senior CPU Performance Architect

Austin, TX

$165K/yr

PhD or Research experience. GPU driver experience. Knowledge of GPU-accelerated workloads and ... climate research. With the introduction of the Grace CPU Superchip, and more recently, the ...

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Climate Research Phd information

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$80K

$99.8K

$135.5K

How much do climate research phd jobs pay per year?

As of Sep 15, 2026, the average yearly pay for climate research phd in the United States is $99,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $115,500.00 per year, depending on experience, location, and employer.

What is a climate research PhD?

A Climate Research PhD is an advanced doctoral degree focused on studying the Earth's climate systems, the factors that influence climate change, and potential solutions for mitigating its impacts. Students in this program conduct original research, often using data analysis, modeling, and fieldwork, to advance scientific understanding of climate dynamics. Graduates typically pursue careers in academia, government agencies, environmental organizations, or private industry, contributing their expertise to address pressing global climate challenges.

What are the key skills and qualifications needed to thrive as a climate research PhD, and why are they important?

To thrive as a Climate Research PhD, you need advanced expertise in climate science, data analysis, and research methodologies, typically supported by a doctorate in a relevant field. Proficiency with statistical software (such as R or Python), climate modeling tools, and familiarity with geospatial analysis systems is essential. Strong communication, critical thinking, and collaboration skills distinguish top researchers in this area. These abilities are vital for conducting rigorous research, interpreting complex data, and effectively sharing findings to inform climate policy and science.

What are some common challenges faced by climate research PhDs when working on collaborative projects?

Climate Research PhDs often work with multidisciplinary teams, including scientists, policy experts, and data analysts. A common challenge is aligning methodologies and communication styles across different fields, which can lead to misunderstandings or delays. Effective collaboration requires adaptability, openness to feedback, and strong project management skills to ensure research objectives are met. Building rapport and maintaining regular communication channels are essential for overcoming these challenges and achieving impactful results.

What is the difference between Climate Research Phd vs Climate Data Analyst?

AspectClimate Research PhdClimate Data Analyst
Required CredentialsDoctorate in Climate Science or related fieldBachelor's or Master's in Data Science, Environmental Science, or related field
Work EnvironmentAcademic, research institutions, government agenciesCorporate, consulting firms, government agencies
Industry UsageConducts advanced research, publishes papersAnalyzes climate data, creates reports, supports decision-making

The main difference between a Climate Research Phd and a Climate Data Analyst lies in their focus and credentials. A Climate Research Phd typically involves conducting advanced research and publishing scholarly work, requiring a doctorate. In contrast, a Climate Data Analyst primarily interprets climate data to inform decisions, often with a bachelor's or master's degree. Both roles are vital in the climate industry but serve different functions and work environments.

More about Climate Research Phd jobs

What cities are hiring for Climate Research Phd jobs?

Cities with the most Climate Research Phd job openings:

What states have the most Climate Research Phd jobs?

States with the most job openings for Climate Research Phd jobs include:

What job categories do people searching Climate Research Phd jobs look for?

The top searched job categories for Climate Research Phd jobs are:

Infographic showing various Climate Research Phd job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 10% Part Time, and 1% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $99,840 per year, or $48 per hour.

Senior CPU Performance Architect

Hillsboro, OR • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$181K/yr

Full-time

Re-posted 9 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team and help us push performance boundaries for all our CPU products!

What you'll be doing:

  • Work on workload bring-up and performance analysis/projection, both on silicon and full-system simulator.

  • Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles.

  • Study real world use-cases and identify critical application behavior and reduce to directed test cases.

  • Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.

  • Work with CPU and interconnect architects to improve future CPU and system designs based on your findings.

  • Benchmark NVIDIA's CPU offerings against competition and suggest software or hardware improvements.

What we need to see:

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

  • 12+ years of relevant experience.

  • Experience with CPU workloads and performance analysis.

  • Knowledge of performance test development and benchmarking for CPU and I/O.

  • Deep knowledge of CPU microarchitecture and system architecture.

  • Experience with the ARM instruction set architecture (ISA) preferable but not required.

Ways to stand out from the crowd:

  • PhD or Research experience.

  • GPU driver experience.

  • Knowledge of GPU-accelerated workloads andmodeling performance of accelerated workloads.

  • Experience with performance optimization of AI frameworks such as PyTorch.

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research.With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 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.

What Nvidia employees say

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Hours and flexibility

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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

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