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Profiling Jobs in Texas (NOW HIRING)

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Profiling information

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$45

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How much do profiling jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for profiling in Texas is $46.88, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $47.50 per hour, depending on experience, location, and employer.

What is profiling?

Profiling, in a professional context, typically refers to the process of gathering and analyzing information about individuals or groups to understand their behaviors, characteristics, or patterns. This can be used in fields such as law enforcement (criminal profiling), cybersecurity (user or threat profiling), and human resources (candidate profiling). Profilers use data, interviews, and behavioral analysis to make informed decisions or predictions. The goal is to improve efficiency, enhance security, or better match individuals to roles or tasks. The specific duties and techniques can vary widely depending on the industry.

What are the key skills and qualifications needed to thrive as a criminal profiler?

To thrive as a Criminal Profiler, you need a solid background in psychology or criminology, investigative experience, and often a relevant degree or law enforcement training. Familiarity with crime analysis software, databases, and behavioral assessment tools is typically required. Strong analytical thinking, communication, and the ability to interpret subtle behavioral cues are important soft skills in this field. These competencies are crucial for accurately assessing criminal behavior, aiding investigations, and contributing to public safety.

What are some common challenges faced by professionals working in criminal profiling, and how can they be addressed?

Professionals in criminal profiling often encounter challenges such as limited or ambiguous evidence, high-pressure situations, and the need to avoid cognitive biases. Dealing with incomplete or conflicting information requires strong analytical skills and collaboration with law enforcement teams. Regular training, peer consultation, and adherence to established profiling frameworks help mitigate these challenges, ensuring accurate and ethical assessments. Building resilience and strong communication skills is also crucial in this demanding field.

What is the difference between Profiling vs Data Analyst?

AspectProfilingData Analyst
Required CredentialsOften requires data analysis skills, basic statistics, and familiarity with data toolsRequires degrees in statistics, mathematics, or related fields; proficiency in data analysis software
Work EnvironmentPrimarily focused on examining datasets to understand data quality and structureAnalyzes data to generate reports, insights, and support decision-making
Employer & Industry UsageUsed in data management, data warehousing, and database administrationCommon in finance, marketing, healthcare, and business intelligence
Search & Comparison IntentUnderstanding data quality, structure, and readinessExtracting insights, trends, and supporting strategic decisions

Profiling involves examining datasets to assess quality and structure, while a Data Analyst interprets data to provide insights. Both roles require analytical skills, but Profiling is more focused on data quality assessment, whereas Data Analysts focus on deriving actionable insights from data.

How can you become a profiling?

To become a profiler, typically one needs a background in psychology, criminal justice, or related fields, along with strong analytical and observational skills. Gaining experience through internships or entry-level roles in law enforcement, security, or investigative agencies can be beneficial, and certifications in criminal profiling or behavioral analysis may enhance prospects.

Is being a profiling a real job?

Yes, profiling is a real job that involves analyzing data, behaviors, or patterns to support investigations, security, or marketing efforts. Professionals in this field often use tools like data analysis software and require skills in critical thinking and research. It is commonly found in law enforcement, cybersecurity, and corporate security environments.

What are popular job titles related to Profiling jobs in Texas?

For Profiling jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Profiling jobs in Texas look for?

The top searched job categories for Profiling jobs in Texas are:

Profiling jobs near you
Infographic showing various Profiling job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $97,506 per year, or $46.9 per hour.

System Software Engineer, Profiler - GPU

Nvidia

Austin, TX • On-site

Full-time

Re-posted 10 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

At NVIDIA, we build groundbreaking products for the following sectors: Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers use your tools to debug, profile and analyze the performance of their systems/applications using the low-level libraries that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale.

As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding compute applications deployed on the world's largest distributed environments. We are seeking a talented Software Engineer to join our team and contribute to the performance triage development and co-design of foundational software libraries for developer tools in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology.

What you'll be doing:

  • Design, develop, and maintain GPU performance foundation libraries for Nsight tools with focus on high fidelity hardware events and counters.

  • Develop and implement GPU assembly tests.

  • Build and maintain a test validation framework written primarily in CUDA and GPU Assembly.

  • Utilize emulators to debug and verify instruction events.

  • Document tools use cases and data processing workflows to facilitate architectural explorations.

What we need to see:

  • B.S. EE/CS (or equivalent experience) and 5+ years of experience or MS with 2+ years' experience, or Ph.D.

  • Strong programming ability in C, C++, and scripting languages such as Python.

  • Good understanding or prior experience with low level assembly code.

  • Solid understanding of hardware pipeline and execution unit instruction pipeline concepts, with a willingness to work at a detailed implementation level.

  • Knowledge of hardware-software co-design principles and practices.

  • Experience with performance analysis and optimization of software on hardware accelerators.

  • Experience with developing on simulators and emulators.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

  • Strong communication skills, both written and verbal.

Ways to stand out from the crowd:

  • Shown knowledge of compute (CUDA/OpenCL), modern graphics (DirectX12, OpenGL, Vulkan, Metal), or DL frameworks (PyTorch/JAX).

  • Prior experience authoring developer tools, particularly for GPUs, games, pro visualization, or compute workloads.

  • Knowledge of performance analysis, particularly of GPU applications.

  • Experience in driver development.

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

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