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Profiling information

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$47

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How much do profiling jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for profiling in California is $49.66, according to ZipRecruiter salary data. Most workers in this role earn between $48.89 and $50.29 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 California?

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

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

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

What cities in California are hiring for Profiling jobs?

Cities in California with the most Profiling job openings:

Profiling jobs near you
Infographic showing various Profiling job openings in California as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $103,289 per year, or $49.7 per hour.

Principal Software Engineer, Profiling Services

Nvidia

Santa Clara, CA • On-site

$158K - $212K/yr

Full-time

Re-posted 19 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

Help design and ship an Always-On, low-overhead GPU profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ML workloads. You will lead the architecture and hands-on delivery across system software, drivers, and CUDA to make profiling continuously available and reliable. What you'll be doing: 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. What we need to see: 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.

Ways to stand out from the crowd: 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 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

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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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