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Junior Nvidia Engineering Jobs (NOW HIRING)

Nvidia

OR · On-site

$122.40K - $161.30K/yr

Mentor junior engineers and review contributions from internal and external contributors What we ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Nvidia

DFT Engineer - New College Grad

Santa Clara, CA · On-site

$145K - $191.40K/yr

Work with NVIDIA VLSI and Operations teams to deliver the scan feature in all product segments at NVIDIA. * Help mentor junior engineers on test designs and trade-offs including cost and quality.

Nvidia

Senior DFT Engineer

Santa Clara, CA · Hybrid

$122.70K - $168.50K/yr

Own the full ATPG lifecycle-verification, coverage analysis, pattern generation, and ATE bring-up-across NVIDIA's full product portfolio. * Guide and mentor junior engineers, helping them navigate ...

Nvidia

Senior SOC Design Engineer

Santa Clara, CA · Hybrid

Experience mentoring junior engineers or leading cross-functional technical projects NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most ...

Nvidia

Senior DFX Methodology Engineer

Santa Clara, CA · On-site

$122.70K - $168.50K/yr

Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting ... Help mentor junior engineers on test designs and trade-offs including cost and quality. What we ...

Nvidia

OR

We are looking for a Junior Field Applications Engineer! NVIDIA's AI platforms have already made a major impact on the field and are broadly used across leading academic institutions, start-ups, and ...

Nvidia

Senior DFT Engineer

Santa Clara, CA · Hybrid

$122.70K - $168.50K/yr

Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting ... You will also help mentor junior engineers on test designs and trade-offs including cost and ...

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How much do junior nvidia engineering jobs pay per year?

As of Jun 1, 2026, the average yearly pay for junior nvidia engineering in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

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

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 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 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.

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Junior Nvidia Engineering jobs near you
Senior Software Engineer, Agentic AI - Nvidia Blueprints and NIM Integrations

Senior Software Engineer, Agentic AI - Nvidia Blueprints and NIM Integrations

NVIDIA

Santa Clara, CA • On-site

$143.80K - $189.60K/yr

Full-time

Posted 22 days ago

Job description

Job Summary:
NVIDIA is looking for a skilled Agentic AI Software Engineer to join their team. The ideal candidate will be responsible for designing, developing, and maintaining integrations of NVIDIA NIM microservices and Blueprints into leading agentic AI frameworks and open-source libraries.
Responsibilities:
• Design and implement NVIDIA NIM connectors and Blueprint integrations into upstream agentic AI frameworks (e.g., LangGraph, LlamaIndex, AutoGen, CrewAI, Claude Agent SDK, OpenAI Agents SDK)
• Build and maintain agentic workflows — including tool use, memory, planning, and multi-agent coordination patterns — powered by NVIDIA inference services
• Develop test harnesses and evaluation pipelines to validate agent behavior, tool-call correctness, and end-to-end workflow quality
• Evangelize NVIDIA agentic AI capabilities through demos, documentation, and upstream community contributions
• Partner with NVIDIA NIM and release teams to ensure Day-0 agentic support for new models and inference APIs
• Continuously discover emerging agentic frameworks and drive integrations that expand the NVIDIA agentic ecosystem
• Mentor junior engineers and review contributions from internal and external contributors
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience
• 8+ years of experience in software design, development, and testing
• Hands-on experience building with LLM-based agent frameworks and patterns (tool use, RAG, multi-agent orchestration, structured outputs)
• Familiarity with inference APIs and serving frameworks (OpenAI-compatible APIs, NIM, vLLM, TensorRT-LLM)
• Experience in open-source development — contributing to and maintaining upstream projects
• Strong understanding of AI application developer workflows and the modern agentic AI stack
• Strong verbal and written communication skills
• Action-driven with strong analytical and debugging skills
• Ability to adapt quickly in a fast-moving, research-driven environment
• Enthusiasm for working across multiple diverse projects and communities
Preferred:
• Demonstrated contributions to agentic AI frameworks or LLM orchestration libraries
• Experience designing and evaluating multi-agent systems, including reliability, latency, and correctness at scale
• Deep familiarity with the open-source inference and agentic ecosystem (LangChain, LlamaIndex, AutoGen, Haystack, etc.)
• Published work, blog posts, or conference talks on agentic AI or LLM systems
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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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