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Behavioral Profiling Jobs (NOW HIRING)

CONSUMER DIRECT CARE NETWORK

WI · On-site

$17.66/hr

The ideal candidate has experience working with youth who may have behavioral or emotional support needs and understands the importance of patience, flexibility, and proactive engagement.

CONSUMER DIRECT CARE NETWORK

WI · On-site

$17.66/hr

The ideal candidate has experience working with youth who may have behavioral or emotional support needs and understands the importance of patience, flexibility, and proactive engagement.

Midasis Technologies LLC

Lead AI Engineer

Richardson, TX · On-site

$93K - $122K/yr

Unsupervised learning: anomaly and outlier detection (e.g., Isolation Forest), clustering, and entity-level behavioral profiling (e.g., autoencoders/reconstruction-error methods). * Deep learning ...

New

Nvidia

GPU Performance Profiling Engineer

Austin, TX

... behaviors. * Collaborate with developer tools engineers, software library developers, and GPU ... In-depth experience with profiler tools including CPU, GPU, and networking as well as experience in ...

Clarvida

Behavioral Consultant

Farrell, PA · On-site

$27/hr

Official communication will come from @clarvida.com email addresses or verified Clarvida LinkedIn profiles. Keywords: Behavioral Consultant, BCBA, Behavior Specialist, ABA Therapist, Licensed ...

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Behavioral Profiling information

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$38K

$73.5K

$117.5K

How much do behavioral profiling jobs pay per year?

As of Aug 22, 2026, the average yearly pay for behavioral profiling in the United States is $73,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is behavioral profiling?

Behavioral profiling is the process of analyzing patterns in individuals' actions, decisions, or habits to predict or understand their future behaviors. This technique is commonly used in law enforcement, cybersecurity, marketing, and psychology to identify potential risks, tailor services, or improve targeting strategies. Profilers collect and interpret data from various sources, such as online activity, purchase history, or observed behaviors, to create a behavioral profile. The goal is to gain insights that help organizations or professionals make informed decisions about individuals or groups.

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

To thrive as a Behavioral Profiler, you need a solid background in psychology, criminology, or a related discipline, often supported by an advanced degree and experience in investigative work. Familiarity with forensic analysis tools, behavioral assessment software, and crime data management systems is typically required. Keen observational skills, critical thinking, and strong communication abilities help Behavioral Profilers interpret evidence and collaborate with law enforcement agencies. These skills are crucial for accurately assessing behavioral patterns, aiding investigations, and supporting public safety.

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

Professionals in behavioral profiling often encounter challenges such as interpreting subtle behavioral cues accurately, avoiding confirmation bias, and maintaining objectivity under pressure. Working in multidisciplinary teams and engaging in regular peer reviews can help mitigate these issues by providing diverse perspectives and feedback. Ongoing training in the latest profiling techniques and ethical standards also supports better decision-making and professional growth. Collaboration with law enforcement, psychologists, and data analysts is common, which enhances the accuracy and reliability of behavioral assessments.

How do you become a behavioral profiling?

To become a behavioral profiler, individuals typically pursue a background in psychology, criminology, or related fields, often obtaining a bachelor's or master's degree. Gaining experience through internships, certifications in behavioral analysis or criminal profiling, and developing skills in observation, data analysis, and interviewing are essential steps in entering this profession.
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Behavioral Profiling jobs near you
Infographic showing various Behavioral Profiling job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 72% Full Time, 17% Part Time, 1% Temporary, and 7% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $73,532 per year, or $35.4 per hour.

Principal Software Engineer, Profiling Services

NVIDIA Corporation

Santa Clara, CA • On-site

$157K - $210K/yr

Other

Re-posted 6 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 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

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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