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Nvidia Engineering Jobs in Tennessee (NOW HIRING)

Supermicro

Service Engineer

Memphis, TN

$70K - $100K/yr

... field engineering organization. Essential Duties and Responsibilities: Includes the following ... Support GPU platforms such as NVIDIA HGX/DGX-based systems. * Troubleshoot GPU-related issues (ECC ...

Super Micro Computer

Service Engineer

Memphis, TN · On-site

$70K - $100K/yr

... field engineering organization. Essential Duties and Responsibilities: Includes the following ... as NVIDIA HGX/DGX-based systems. • Troubleshoot GPU-related issues (ECC errors, thermal ...

Cadre5

Senior Platform Engineer

Knoxville, TN

$93K - $127K/yr

KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow * Experience using HPC ... Cloud engineering experience with at least one cloud service provider * Experience with reusable ...

Deloitte

HPC AI Solution Architect (S2S)

Nashville, TN · On-site

Work you'll do As a Lead Cloud Integrated Infra Engineer on the Silicon2Service team, you will be ... Experience executing NVIDIA co-sell motions with OEMS (Dell, HPC, Lenovo), CSPs ( AWS, Azure ...

Deloitte

Oracle Gen AI Manager

Nashville, TN · On-site

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ...

Introl

Data Center Technician

Nashville, TN · On-site

$22 - $35/hr

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... NVIDIA, AMD, Intel) Employment Structure & Expectations This is a W-2 hourly, project-based ...

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Nvidia Engineering information

See Tennessee salary details

$42.2K

$133.3K

$157.9K

How much do nvidia engineering jobs pay per year?

As of Jun 14, 2026, the average yearly pay for nvidia engineering in Tennessee is $133,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $157,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

What are the key skills and qualifications needed to thrive in the Nvidia Engineering position, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia Engineering job?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

What types of projects do Nvidia Engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
What are the most commonly searched types of Nvidia Engineering jobs in Tennessee? The most popular types of Nvidia Engineering jobs in Tennessee are:
What are popular job titles related to Nvidia Engineering jobs in Tennessee? For Nvidia Engineering jobs in Tennessee, the most frequently searched job titles are:
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Nvidia Engineering jobs near you
AI Engineering Manager - SFL Scientific

AI Engineering Manager - SFL Scientific

Deloitte

Nashville, TN • On-site

Full-time

Posted 23 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte's Strategy & Transactions team is seeking an AI Engineering Manager to lead the design, development, and deployment of innovative AI applications across various sectors. This role involves collaborating with clients to create robust AI platforms and cloud solutions, while mentoring junior team members and ensuring the successful implementation of AI strategies.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.)
• 6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 6+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 4+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.
• 4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 3+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 1900, the company is headquartered in Marunouchi, JPN, with a team of 10001+ employees. The company is currently Late Stage.

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