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Senior Modeling Jobs in Texas (NOW HIRING)

Jobsbridge

Sr. Data Modeler

Austin, TX

... senior leadership. 3+ years of experience with commercial off-the-shelf package integration. 6+ ... modeling techniques (e.g., BPM, UML, ER). 3+ years of experience working with Enterprise ...

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Senior Modeling information

See Texas salary details

$23.3K

$74.8K

$152.3K

How much do senior modeling jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior modeling in Texas is $74,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,700.00 and $96,000.00 per year, depending on experience, location, and employer.

What are some common challenges senior modelers face when working on complex projects, and how can they be addressed?

Senior Modeling professionals often encounter challenges such as integrating large and diverse datasets, ensuring model accuracy, and effectively communicating technical findings to non-technical stakeholders. Addressing these challenges requires strong collaboration with data engineers, subject matter experts, and decision-makers, as well as a commitment to continuous learning and validation of models. Utilizing robust model validation techniques, staying updated on industry best practices, and fostering open communication within cross-functional teams can help overcome these hurdles and drive project success.

What is the difference between Senior Modeling vs Data Analyst?

AspectSenior ModelingData Analyst
Required CredentialsBachelor's or Master's in Mathematics, Statistics, or related field; experience with modeling softwareBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentFinancial institutions, consulting firms, or tech companies focusing on predictive modelsBusiness, marketing, or operations teams analyzing data sets
Employer & Industry UsageUsed in finance, insurance, and tech for predictive modelingCommon across industries for data interpretation and reporting

Senior Modeling professionals focus on developing complex predictive models and algorithms, often requiring advanced quantitative skills. Data Analysts interpret data, generate reports, and support decision-making. While both roles work with data, Senior Modeling emphasizes model creation and validation, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as a senior modeler?

To thrive as a Senior Modeler, you need advanced expertise in quantitative analysis, statistical modeling, and a relevant degree in mathematics, statistics, finance, or a related field. Mastery of tools such as Python, R, SAS, and familiarity with data visualization and modeling software are typically required, along with certifications like FRM or CFA being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are crucial for developing accurate models, interpreting complex data, and providing actionable insights to guide business or research decisions.

What is a senior modeler?

Senior Modeling professionals are experts who create, manage, and analyze complex mathematical, statistical, or computational models to solve business or scientific problems. They often work in industries like finance, engineering, data science, and environmental science, using advanced modeling techniques to forecast outcomes, optimize processes, or simulate scenarios. These professionals typically have extensive experience and may also lead teams, mentor junior staff, and contribute to strategy development within their organizations.
What are the most commonly searched types of Modeling jobs in Texas? The most popular types of Modeling jobs in Texas are:
What cities in Texas are hiring for Senior Modeling jobs? Cities in Texas with the most Senior Modeling job openings:
Senior Modeling jobs near you
Infographic showing various Senior Modeling job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,800 per year, or $36 per hour.

Senior Architecture Energy Modeling Engineer

Nvidia

Austin, TX

$103K - $142K/yr

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

We are now looking for an Sr. Architecture Energy Modeling Engineer!At NVIDIA, we pride ourselves in having energy-efficient products. We believe that continuing to maintain our products' energy efficiency compared to the competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms. Key responsibilities include developing Machine Learning based power models to analyze and reduce power consumption of NVIDIA GPUs.

As a member of the Power Modeling, Methodology and Analysis Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.

What you'll be doing:

  • Work with architects, designers, and performance engineers to develop an energy-efficient GPU.

  • Identify key design features and workloads for building Machine Learning based unit power/energy models.

  • Develop and own methodologies and workflows to train models using ML and/or statistical techniques.

  • Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.

  • Develop methodologies to estimate data movement power/energy accurately.

  • Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.

  • Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.

  • Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.

  • Prototype new architectural features, build an energy model for those new features, and analyze the system impact.

  • Identify, suggest, and/or participate in studies for improving GPU perf/watt.

What we need to see:

  • MS (or equivalent experience) with proven experience or PhD in related fields.

  • 6+ years of experience.

  • Strong coding skills, preferably in Python, C++.

  • Background in machine learning, AI, and/or statistical modeling.

  • Background in computer architecture and interest in energy-efficient GPU designs.

  • Familiarity with Verilog and ASIC design principles is a plus.

  • Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.

  • Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.

  • Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.

  • Good verbal/written communication and interpersonal skills.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

Year founded

1993

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