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Senior Solutions Engineer Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

... engineering experience * 3+ years of experience supporting AI, natural language processing, RAG, and related solutions. * Experience preparing and transforming data for analytics, machine learning ...

ARA

Senior AI Technologist

Raleigh, NC · On-site

$48.75 - $63/hr

... engineering experience * 3+ years of experience supporting AI, natural language processing, RAG, and related solutions. * Experience preparing and transforming data for analytics, machine learning ...

Fujifilm

Senior MES Solution Architect

Durham, NC · On-site

Position Overview The Senior Solution Architect leads the design and evolution of FUJIFILM ... engineers and operations teams, and enables scalable, compliant solutions as sites move from ...

First Citizens Bank

Senior AI Architect

Raleigh, NC · On-site

Overview The Senior AI Architect leads the design and implementation of cutting-edge AI platforms ... Responsibilities Advanced AI Solutions & Engineering * Hands-on design and development of GenAI ...

First Citizens Bank

Senior AI Architect

Raleigh, NC

Overview The Senior AI Architect leads the design and implementation of cutting-edge AI platforms ... Responsibilities Advanced AI Solutions & Engineering * Hands-on design and development of GenAI ...

Tekniforce

Sr. DevOps Solutions

Raleigh, NC · Hybrid

$126K - $162K/yr

We are searching for a Sr. DevOps Solutions. This is a full-time permanent hire position with our client in Raleigh North Carolina. In this role as a Sr. DevOps Solutions, you will be responsible for ...

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Senior Solutions Engineer information

See Raleigh, NC salary details

$10

$59

$83

How much do senior solutions engineer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for senior solutions engineer in Raleigh, NC is $59.74, according to ZipRecruiter salary data. Most workers in this role earn between $51.63 and $66.59 per hour, depending on experience, location, and employer.

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

To thrive as a Senior Solutions Engineer, you need deep technical expertise in software architecture, strong problem-solving abilities, and a relevant degree in computer science or engineering. Familiarity with cloud platforms, API integration, pre-sales tools, and industry-standard certifications like AWS Certified Solutions Architect are typically expected. Exceptional communication, collaboration, and client-facing skills help you translate complex requirements and build strong relationships. These skills ensure that you can design effective solutions, align technical offerings with client needs, and drive successful implementation outcomes.

What engineers make $300,000 a year?

Senior Solutions Engineers, especially those with extensive experience, specialized skills, and certifications in cloud platforms, software development, or complex systems, can earn $300,000 or more annually. High compensation often depends on the industry, company size, location, and individual performance.

What engineer makes $500,000 a year?

Senior Solutions Engineers in high-demand industries or with extensive experience and specialized skills can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses, stock options, and other compensation. Such roles often require advanced technical expertise, strong client management skills, and a track record of delivering complex solutions at scale.

What are Senior Solutions Engineers?

Senior Solutions Engineers are experienced professionals who work closely with clients to understand their technical needs and design tailored solutions using their company's products or services. They act as a bridge between sales teams and technical teams, often providing pre-sales support, technical demonstrations, and post-sales implementation guidance. Senior Solutions Engineers use deep technical expertise and strong communication skills to solve complex business problems and ensure customer satisfaction. Their role often requires collaboration with product development, project management, and other stakeholders to deliver optimal solutions.

How does a Senior Solutions Engineer typically collaborate with sales and product teams during the sales cycle?

A Senior Solutions Engineer plays a pivotal role in bridging the gap between technical and non-technical teams during the sales cycle. They work closely with sales representatives to understand client needs, deliver tailored product demonstrations, and address technical queries. Additionally, they liaise with product teams to relay customer feedback, influence product development, and ensure proposed solutions align with both client requirements and product capabilities. This collaborative approach ensures that solutions are both technically feasible and commercially viable, contributing to successful deal closures.

What does a senior solutions engineer do?

A senior solutions engineer designs and implements technical solutions to meet client needs, often collaborating with sales and product teams. They analyze requirements, develop prototypes, and provide technical expertise during the sales process, typically using tools like cloud platforms and programming languages. Strong communication and problem-solving skills are essential for this role.

Is 47 too old to become an engineer?

Age is not a barrier to becoming a senior solutions engineer or any engineering role, as the industry values experience, problem-solving skills, and continuous learning. Many professionals successfully transition into engineering careers later in life by gaining relevant certifications, technical skills, and practical experience.

What is the difference between Senior Solutions Engineer vs Solutions Architect?

AspectSenior Solutions EngineerSolutions Architect
CredentialsTypically requires a bachelor’s degree in engineering, computer science, or related field; certifications like AWS, Azure, or Cisco are commonSimilar credentials; often holds certifications in cloud platforms and architecture frameworks
Work EnvironmentWorks closely with sales, engineering, and clients to implement solutions; often in a technical pre-sales or post-sales roleDesigns overall technical solutions and architecture; collaborates with sales, engineering, and clients during project planning
Industry UsageCommonly employed in tech, cloud, and software companies for technical support and implementationUsed across IT, cloud, and enterprise sectors for designing scalable and efficient systems

While both roles require technical expertise and certifications, Senior Solutions Engineers focus on implementing and supporting solutions, whereas Solutions Architects primarily design and plan the overall system architecture. The roles often overlap but differ in scope and focus within the project lifecycle.

What are the most commonly searched types of Solutions Engineer jobs in Raleigh, NC? The most popular types of Solutions Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Solutions Engineer jobs? Cities near Raleigh, NC with the most Senior Solutions Engineer job openings:
Senior Solutions Engineer jobs near you
Infographic showing various Senior Solutions Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $124,256 per year, or $59.7 per hour.
Senior Solutions Architect - AI Factory Deployment

Senior Solutions Architect - AI Factory Deployment

Nvidia

Durham, NC

Full-time

Posted 16 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

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