ZipRecruiter

Log In

1

Behavior Solutions Jobs in Raleigh, NC (NOW HIRING)

SHI

Presales Solutions Engineer - Network

Durham, NC · On-site +1

The Solutions Engineer will take aconsultative approach and lead discussions with clients regarding ... Behaviors and Competencies * Presenting: Can design and deliver engaging presentations, adapting ...

April Health

Behavioral Health Care Manager

Durham, NC · On-site +1

$53K - $58K/yr

April Health partners with primary care, women's health, and pediatric practices to provide a hybrid behavioral health solution that combines human care management with AI-driven support to improve ...

April Health

Behavioral Health Care Manager

Durham, NC · Hybrid

April Health partners with primary care, women's health, and pediatric practices to provide a hybrid behavioral health solution that combines human care management with AI-driven support to improve ...

next page

Showing results 1-20

All JobsBehavior Solutions JobsBehavior Solutions Jobs in Raleigh, NC

Behavior Solutions information

See Raleigh, NC salary details

$46.2K

$86.6K

$144.8K

How much do behavior solutions jobs pay per year?

As of Jun 14, 2026, the average yearly pay for behavior solutions in Raleigh, NC is $86,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $88,000.00 per year, depending on experience, location, and employer.

What are Behavior Solutions?

Behavior Solutions typically refers to services or interventions designed to help individuals improve or change challenging behaviors. These solutions are often provided by professionals such as behavior analysts, therapists, or educators who use evidence-based strategies to address behavioral issues in various settings, including schools, homes, and workplaces. The goal is to promote positive behaviors, enhance quality of life, and support individuals in reaching their full potential. Behavior solutions can be tailored to people of all ages and are especially common in supporting individuals with autism or developmental disabilities.

What is the difference between Behavior Solutions vs Behavior Analyst?

AspectBehavior SolutionsBehavior Analyst
CredentialsTypically requires specialized training or certification in behavior interventionRequires BCBA certification and relevant degrees
Work EnvironmentOften works in schools, clinics, or community settingsWorks in similar settings, often overseeing behavior programs
Employer & IndustryEmployers include schools, therapy centers, and healthcare providersEmployers include clinics, schools, and private practices
Search & Comparison IntentPeople compare to understand roles, certifications, and scope of practiceFocuses on certification requirements and professional responsibilities

Behavior Solutions professionals implement behavior intervention plans, often with specialized training, but may not hold BCBA credentials. Behavior Analysts, on the other hand, are certified professionals with specific qualifications, overseeing and designing behavior programs. Both roles work in similar environments, but the key difference lies in certification and scope of practice.

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

To thrive as a Behavior Solutions Specialist, you generally need a background in psychology, education, or applied behavior analysis, often with a relevant degree and experience in behavior intervention. Familiarity with behavior tracking software, data collection tools, and certifications like Registered Behavior Technician (RBT) or Board Certified Behavior Analyst (BCBA) are commonly required. Strong communication, patience, and problem-solving abilities help professionals effectively support clients and collaborate with families and teams. These skills are crucial for designing impactful interventions, ensuring client progress, and maintaining ethical, data-driven practices.

What are some common challenges faced by professionals working in Behavior Solutions, and how are they typically addressed?

Professionals in Behavior Solutions often encounter challenges such as resistance to behavioral interventions, communication barriers with clients or caregivers, and the need to tailor strategies to diverse individual needs. These challenges are typically addressed through ongoing collaboration with multidisciplinary teams, regular training in evidence-based practices, and open communication with clients and their support networks. Additionally, professionals are encouraged to engage in reflective practice and seek supervision to continually improve their skills and adapt interventions as needed.
What are popular job titles related to Behavior Solutions jobs in Raleigh, NC? For Behavior Solutions jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Behavior Solutions jobs in Raleigh, NC look for? The top searched job categories for Behavior Solutions jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Behavior Solutions jobs? Cities near Raleigh, NC with the most Behavior Solutions job openings:
Behavior Solutions jobs near you
Senior Solutions Architect - AI Factory Deployment

Senior Solutions Architect - AI Factory Deployment

Nvidia

Durham, NC • On-site

Full-time

Posted 15 days ago

Job description

We are seeking an ambitious Senior Solutions Architect - AI Factory Deployment to join our NVIDIA Infrastructure Specialists team in Santa Clara! This role is uniquely positioned to develop, deploy, and validate AI factories end to end. You will focus on running and debugging AI/LLM workloads and benchmarks on Linux-based GPU clusters, using NCCL and collectives like AllReduce and AllToAll to improve performance and scalability.

As part of our world-class team, you will bring to bear observability and automation to improve benchmarks and validation. You will serve as the expert when workloads or benchmarks do not perform flawlessly. You will collaborate across NVIDIA to ensure AI factories are prepared for customers, validating hardware and software for modern AI deployments.

What You Will be Doing:

  • Set up, adjust, and verify AI factory environments across multi-GPU and multi-node Linux clusters.

  • Ensure configurations align with guidelines for NCCL, collectives, and distributed training frameworks.

  • Own the execution of key AI/LLM benchmarks, including setup, orchestration, result collection, and analysis.

  • Investigate and resolve issues when training jobs or benchmarks fail, hang, or underperform.

  • Build and improve observability for AI factories (metrics, logs, traces, dashboards) to understand workload behavior and system health.

  • Develop automation (Python, Shell) for running benchmarks, collecting results, and performing regression checks

  • Examine communication patterns and NCCL usage for AI/LLM workloads, concentrating on collectives such as AllReduce and AllToAll.

  • Recommend changes to job configuration, parallelism strategies, and cluster settings to improve throughput, latency, and scaling efficiency.

  • Work closely with hardware, software, networking, datacenter, and product teams to prepare AI factories for customer use.

  • Contribute to documentation, guidelines, and readiness collateral that support internal collaborators and customer-facing teams.

What We Need to See:

  • Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or related field.

  • More than 6+ years of experience managing Linux-based systems in HPC, distributed systems, or extensive AI/ML settings.

  • Hands-on experience running AI/ML workloads on multi-GPU and/or multi-node clusters, with practical knowledge of NCCL.

  • Solid grasp of collective communication patterns, particularly AllReduce and AllToAll, and how they are applied in contemporary ML/LLM training.

  • Familiarity with LLM training and/or inference workflows using frameworks such as PyTorch or TensorFlow.

  • Proficiency with Python and Shell/Bash for scripting, automation, and tooling.

  • Experience with benchmarking (crafting, executing, and interpreting performance benchmarks).

  • Comfortable working with observability data (metrics, logs, dashboards) to troubleshoot and optimize complex distributed workloads.

  • Strong communication skills and the ability to work effectively with cross-functional teams.

Ways to Stand Out From the Crowd:

  • Experience with AI factory or large-scale AI infrastructure build, deployment, or operations.

  • Background in HPC performance engineering, SRE, or systems performance analysis for GPU-accelerated environments.

  • Familiarity with observability stacks (e.g., metrics/monitoring, logging, tracing systems) used for large distributed systems.

  • Experience building automation and CI-style pipelines for running and validating benchmarks at scale.

  • Demonstrated desire to use AI to solve practical problems, improve workflows, and guide data-driven decisions.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 3, 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.
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

View All Nvidia Jobs

Apply