1

Junior Nvidia Engineering Jobs in Reno, NV (NOW HIRING)

Junior Nvidia Engineering information

See Reno, NV salary details

$33.4K

$71.6K

$109.2K

How much do junior nvidia engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for junior nvidia engineering in Reno, NV is $71,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $79,800.00 per year, depending on experience, location, and employer.

What is a junior Nvidia engineer?

A Junior Nvidia Engineer is an early-career professional who works with Nvidia technologies, such as GPUs, AI hardware, and related software development kits. Their responsibilities typically include assisting in the design, development, testing, and optimization of software or hardware solutions utilizing Nvidia platforms. They often collaborate with senior engineers to solve technical challenges, support product development, and learn about advanced computing technologies. This role is ideal for those interested in graphics processing, machine learning, and high-performance computing. Junior Nvidia Engineers usually have a background in computer science, electrical engineering, or a related field.

What are the key skills and qualifications needed to thrive as a junior Nvidia engineer?

To thrive as a Junior Nvidia Engineer, you need a solid grounding in computer science principles, programming (especially in C++ and Python), and a relevant degree such as Computer Engineering or Electrical Engineering. Familiarity with Nvidia's CUDA platform, GPU architectures, and common development tools like Git and Linux is typically required. Strong problem-solving skills, effective teamwork, and a willingness to learn new technologies are crucial soft skills in this role. These abilities are essential to contribute to innovative hardware and software solutions, collaborate effectively, and adapt to the rapid advancements in GPU technology.

What are some common challenges faced by junior engineers at Nvidia, and how can they overcome them?

As a junior engineer at Nvidia, you may encounter challenges such as adapting to a fast-paced environment, learning proprietary technologies, and collaborating with cross-functional teams. It's common to feel overwhelmed by the complexity of projects and the high expectations for innovation. To overcome these hurdles, proactively seek mentorship from experienced colleagues, participate in internal training sessions, and regularly communicate with your team to clarify goals and expectations. Building strong technical foundations and asking questions when you need support can help you grow quickly in this dynamic environment.

What is the difference between Junior Nvidia Engineering vs Junior Data Scientist?

AspectJunior Nvidia EngineeringJunior Data Scientist
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related fields; knowledge of CUDA, GPU architectureBachelor's or Master's in Data Science, Statistics, or related fields; programming in Python, R, SQL
Work EnvironmentHardware-focused, engineering labs, GPU development teamsData analysis teams, research environments, software development
Industry UsageTechnology, hardware manufacturing, AI hardware accelerationTech, finance, healthcare, research institutions
Common Search/ComparisonYesYes

Junior Nvidia Engineers focus on GPU hardware, CUDA programming, and hardware development, often working in engineering labs. In contrast, Junior Data Scientists analyze data, develop models, and work with statistical tools. Both roles require strong programming skills but differ in their core focus and industry applications.

What are popular job titles related to Junior Nvidia Engineering jobs in Reno, NV?

For Junior Nvidia Engineering jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Junior Nvidia Engineering jobs in Reno, NV look for?

The top searched job categories for Junior Nvidia Engineering jobs in Reno, NV are:

Domain Architect - Control Intelligence - Manager

Ernst & Young Oman

Carson City, NV • On-site

$126 - $230/hr

Other

Medical, Dental, Retirement, PTO

Posted 4 days ago


Job description

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

We’re hiring an experienced Lead AI Software Architect that to lead a team of domain architect experts in designing and implementing AI Agent Control. This role is for a software AI leader who has built Agent control including tool usage, state management/persistence, execution environment control, policy definition and application, multiagent API and anomaly detection. Extensive experience in agent authentication, observability, telemetry and authorization logging design is also in scope for this role. These capabilities will be a universal control harness for managing agentic systems. Managing post training and customization/tuning environments including federated learning. Using Implementation of agent personas and types for agent design is in scope as well. The candidate should thrive in fast-paced environments and are passionate about enabling scalable AI solutions.

Your key responsibilities
  • Design of control harness intelligence systems including multiagent systems and associated tools and scaffolding.

  • Design architectures for agent identity and authentication in large scale multi-agent enterprise systems.

  • Design of post training and tuning/customization environments.

  • Design of synthesis models for AI open-source models.

  • Implement and test these architectures benchmarking performance against agent and human designed evals.

  • Design comprehensive AI Agent control frameworks.

  • Drive agent design requirements and implement through AI Native design process.

  • Assess through primary and secondary research emerging agent authorization architectures and frontier model proposals.

  • Collaborate with other architectural experts in AI, Security, Data and Infrastructure to insure balanced and practical outcomes.

  • Support strategic business development activities for emerging technology as required.

  • Present at academic conferences and support development of IP filings

  • Hands on development of the advanced AI capabilities in agentic control.

  • Lead a team of experts in building a universal agentic control harnesses.

Skills and attributes for success
  • Strong analytical and troubleshooting skills.

  • Ability to lead software architectural product functions and mentor junior engineers.

  • Comfort working across cross-functional teams and managing competing priorities.

  • Build and manage strong internal and external partnerships by fostering trust, empathy, and mutual value.

  • Leverage emotional agility and hybrid collaboration to navigate diverse stakeholder needs and drive long-term engagement.

  • Use critical thinking and creative reasoning to address complex problems and exceed expectations.

  • Align cross-functional teams around shared goals, ensuring accountability and progress. Use emotional intelligence and hybrid collaboration to motivate others and deliver high-impact results.

To qualify you must have
  • Advanced degree in Electrical Engineering, Computer Science or Mathematics.

  • 10+ years of experience in software engineering and AI.

  • Experience working with multi-agent system administration and modern secrets management.

  • Use of AI native software development tools / code assist (Cursor, Claude Code, Qodo/Codium, Gemini, AWS Q, GitHub)

  • Familiarity with scripting languages (Python, Bash, Typescript etc….) and software languages (Go, Rust, Java etc…).

  • Understand AI Native design process and principles

  • Experience with cryptographic methods of identity and auth.

  • Experience with modern software IDE, CI/CD pipeline, modern code hosting and collaboration (Github/Gitlab/Azure DevOps etc…)

  • Experience with Nvidia NVAIE, AWS and MSFT Azure AI stacks.

Ideally, you'll also have
  • Experience with large-scale cross functional software development projects.

  • Excellent communication and leadership abilities.

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  • Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

EY accepts applications for this position on an on-going basis.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

#J-18808-Ljbffr