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Profiling Jobs in Texas (NOW HIRING)

Syndicus, Inc.

Data Profiler

San Antonio, TX · Hybrid

An understanding of data cleansing and profiling * An understanding of data schema, model, and ontology concepts * Experience with Jupyter notebooks or similar AI/ML frameworks. * Good communication ...

ClifyX

Python profile with BFS background

Houston, TX · On-site

$48 - $66.25/hr

Python Profile With Bfs Background Exact work location: New York, Atlanta or Houston Strong experience in Python (should be in the data testing space) Good experience in SQL/PLSQL Must have BFS ...

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How much do profiling jobs pay per hour?

As of Jul 7, 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.

How much do profilers get paid?

Profilers, such as criminal or behavioral profilers, typically earn between $50,000 and $100,000 annually, depending on experience, location, and employer. Forensic psychologists or law enforcement professionals with profiling skills may have higher salaries, especially with specialized certifications and extensive experience.

Can you become a profiler without being a cop?

Profiling is a specialized skill used in various fields such as criminal justice, psychology, and security, and it does not require being a police officer. Many professional profilers have backgrounds in psychology, forensic science, or law enforcement, but some roles are open to individuals with relevant training, certifications, and analytical skills. Formal education, experience, and understanding of criminal behavior are often essential for entry into profiling roles.

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.

What is profiling in the context of a job?

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, and why are they important?

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.

How can you become a profiler?

To become a profiler, typically one needs a background in criminal justice, psychology, or a related field, along with experience in law enforcement or investigative work. Developing skills in behavioral analysis, data collection, and report writing is essential, and some roles may require certification from organizations like the International Association of Profilers. Gaining practical experience through internships or entry-level positions is also important for career advancement.

Is being a profiler a real job?

Yes, being a profiler is a real profession, often involving criminal or behavioral profiling to assist law enforcement or security agencies. Profilers analyze evidence, interview subjects, and use psychological techniques to develop suspect profiles, requiring specialized training and skills in psychology, law enforcement, or forensic science.
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
Principal Software Engineer, Profiling Services

Principal Software Engineer, Profiling Services

NVIDIA

Austin, TX • On-site

$133K - $179K/yr

Full-time

Re-posted 22 days ago

Job description

Job Summary:
NVIDIA is a leading technology company specializing in GPU technology and AI solutions. They are seeking a Principal Software Engineer to design and implement a low-overhead GPU profiling service that provides insights for ML workloads, leading the architecture and delivery across system software and drivers.
Responsibilities:
• Design the architecture for an Always-On profiling service, defining interfaces, data flows, and scalability guarantees for multi-process/GPU/node systems.
• Drive low-overhead, high-reliability implementations in C/C++, including IPC/shared memory, and bounded CPU/memory budgets.
• Lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.
• Establish profiling models that integrate with existing ML/AI workflows (e.g., PyTorch/XLA) to turn low-level signals into actionable insights.
• Set technical direction for an engineering team; mentor engineers, drive technical planning to mitigate architectural risks, and align roadmaps across internal and external partners.
Qualifications:
Required:
• BS or MS degree or equivalent experience in Computer Engineering, Computer Science, or related degree.
• 15+ years of system-level C/C++ development, including concurrency, memory management, and performance engineering.
• Proven experience designing and shipping production quality system software or drivers with strict reliability, observability, and performance constraints.
• Demonstrated technical leadership: defining architecture and success metrics, and translating abstract product visions into actionable technical roadmaps with fast-paced, multidisciplinary teams.
• Strong interpersonal, verbal, and written communication; able to influence across organizations and build trust with external collaborators.
Preferred:
• Extensive experience with profiling/tracing stacks for CPU/GPU (e.g., CUPTI, Nsight, performance counters, event correlation) and debugging highly concurrent systems.
• Deep hands-on knowledge of CUDA and GPU architecture, including runtime/driver APIs, CUDA streams/graphs, and kernel behavior.
• Track record building continuous, always-on, or multi-client profiling systems designed for predictable overhead at scale.
• Hands-on experience tuning ML training/inference loops based on deep profiling analysis, with familiarity in ML ecosystems (e.g., PyTorch, JAX) and correlating application events with GPU metrics to translate data into actionable performance insights (e.g., bottleneck triage, compute vs. memory bound).
• Experience with user-mode driver development and integration within platform security and permissions models.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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

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