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Profiler Jobs in California (NOW HIRING)

Anytime Fitness

MASTER PROFILE: Gym Manager

Sacramento, CA · On-site

$35K - $55K/yr

Fitness Club Director COMPANY OVERVIEW Independently owned and operated, Anytime Fitness strives to serve as the flagship health and wellness facility within their respective communities, providing ...

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$24.7K

$79.2K

$161.4K

How much do profiler jobs pay per year?

As of Sep 6, 2026, the average yearly pay for profiler in California is $79,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $101,700.00 per year, depending on experience, location, and employer.

What is a profiler?

Profilers are professionals who analyze data, behaviors, or patterns to identify characteristics about individuals or groups. In law enforcement, criminal profilers study evidence and crime scenes to create psychological profiles of suspects, helping to narrow down investigations. In other fields, such as IT, profilers may analyze software performance to detect bottlenecks. Profilers typically use a mix of analytical skills, specialized tools, and deep subject matter knowledge to provide valuable insights.

What are some common challenges faced by profilers when working with multidisciplinary teams?

Profilers often collaborate closely with law enforcement officers, forensic experts, psychologists, and legal professionals. One common challenge is ensuring clear communication among team members who may have different approaches and priorities. Profilers must effectively translate behavioral analysis into actionable insights while respecting confidentiality and legal boundaries. Building trust and maintaining open dialogue are essential for successful teamwork and case outcomes.

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

To thrive as a Profiler, you need a strong background in behavioral psychology, criminology, and investigative techniques, often supported by a relevant degree and law enforcement experience. Familiarity with analytical software, criminal databases, and forensic tools is typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for interpreting patterns and collaborating with investigative teams. These skills are crucial for accurately assessing criminal behavior and supporting law enforcement in solving complex cases.

What is the difference between Profiler vs Forensic Investigator?

AspectProfiler
CredentialsTypically requires psychology or criminal justice degrees, certifications in criminal profiling
Work EnvironmentLaw enforcement agencies, FBI, private consulting
Industry UsageCriminal justice, law enforcement, consulting
Primary FocusAnalyzing behavioral patterns of criminals to assist investigations

While both Profiler and Forensic Investigator work within criminal justice, profilers focus on behavioral analysis and criminal psychology, whereas forensic investigators handle evidence collection and crime scene analysis. Profiler roles often involve psychological assessments, making them distinct yet complementary to forensic investigators' technical evidence work.

Can you become a profiler without being a cop?

A profiler is a specialized role often found in law enforcement or private consulting, but it is possible to become a criminal profiler without being a police officer by gaining relevant education in psychology, criminal justice, or forensic science, and developing skills in behavioral analysis and investigative techniques. Some private firms or government agencies may hire individuals with these backgrounds for profiling work. Certification and experience in related fields can also enhance prospects for non-law enforcement professionals.

How hard is it to get a job as a criminal profiler?

Becoming a criminal profiler typically requires a background in criminal justice, psychology, or a related field, along with experience in law enforcement or forensic analysis. Competitive positions often demand specialized training, certifications, and a strong understanding of criminal behavior, making entry challenging without relevant qualifications and experience.

What are popular job titles related to Profiler jobs in California?

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

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

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

Profiler jobs near you
Infographic showing various Profiler job openings in California as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 7% Contract, and 1% Nights. Highlights an 61% Physical, 26% Hybrid, and 13% Remote job distribution, with an average salary of $79,236 per year, or $38.1 per hour.

Senior Backend Platform Engineer - Profiling Services

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 9 days ago

Key responsibilities

  • Design and build production backend services for interactive performance analysis and collaborative workflows.

  • Improve the responsiveness, scalability, and efficiency of data-intensive product experiences.

  • Establish effective testing, observability, and operational practices for the capabilities owned.

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

NVIDIA's Developer Tools team is seeking a Senior Backend Platform Engineer to build scalable and reliable capabilities for profiling services. This role combines production backend engineering with data-intensive systems work. You will improve how complex performance data is processed, served, and operated.

The work involves close collaboration with partners in frontend, security, product, and source systems. What you'll be doing: Design and build production backend services for interactive performance analysis and collaborative workflows. Improve the responsiveness, scalability, and efficiency of data-intensive product experiences.

Develop reliable capabilities for onboarding, validating, organizing, and serving large performance datasets. Create durable service interfaces and data models that can evolve as product needs grow. Engineer resilient behavior for concurrency, partial failures, retries, and recovery.

Establish effective testing, observability, and operational practices for the capabilities you own. Partner with frontend, security, product, and source-system teams to deliver complete customer workflows. What we need to see: BS or MS in Computer Science, Data Engineering, or a related field, or equivalent experience.

5+ years of experience building production backend services, distributed systems, analytical systems, or data platforms using Python or a comparable language. Strong software engineering fundamentals, including automated tests, failure handling, production diagnostics, and compatible evolution of APIs or stored data. For service-focused work, experience with asynchronous backends and hands-on depth in query execution or real-time stateful systems.

For data-focused work, strong SQL and experience with ingestion, schema evolution, analytical storage, or query-optimized data modeling. Sound judgment about failure and concurrency, demonstrated through problems such as cancellation, replay, safe retries, or recovery. Ability to measure system behavior and turn logs, metrics, traces, load tests, or data-quality signals into practical improvements.

A record of working across client, service, data, and security concerns to ship a complete production workflow. Ways to stand out from the crowd: Practical coding skills in Python, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued.

Experience making high-cardinality, time-indexed, trace, telemetry, or profiling workloads responsive at scale. Experience keeping live state consistent with WebSockets, pub/sub, replay, or comparable real-time techniques. Experience improving analytical reads or ingestion with columnar formats, embedded query engines, analytical stores, progressive detail, or incremental processing.

Background in generated clients, secure sharing, authorization-aware caching, provenance, lifecycle automation, or cost attribution. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 4, 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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