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Junior Nvidia Engineering Jobs in California (NOW HIRING)

Nvidia

Senior DFT Engineer

Santa Clara, CA · Hybrid

$122K - $168K/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

DFT Engineer - New College Grad

Santa Clara, CA

$145K - $191K/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 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 DFT Engineer

Santa Clara, CA · Hybrid

$122K - $168K/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 ...

Nvidia

Senior DFT Engineer

Santa Clara, CA · Hybrid

$122K - $168K/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 ...

Nvidia

DFT Methodology Engineer

Santa Clara, CA

$145K - $191K/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 ...

Nvidia

Senior DFT Engineer

Santa Clara, CA · Hybrid

$122K - $168K/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 ...

Nvidia

Senior DFT Engineer

Santa Clara, CA

$122K - $168K/yr

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless ... Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world ...

Nvidia Corporation

Senior DFT Engineer

Santa Clara, CA · On-site

$122K - $168K/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 ...

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Junior Nvidia Engineering information

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 the most commonly searched types of Nvidia Engineering jobs in California?

The most popular types of Nvidia Engineering jobs in California are:

What are popular job titles related to Junior Nvidia Engineering jobs in California?

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

What job categories do people searching Junior Nvidia Engineering jobs in California look for?

The top searched job categories for Junior Nvidia Engineering jobs in California are:

What cities in California are hiring for Junior Nvidia Engineering jobs?

Cities in California with the most Junior Nvidia Engineering job openings:

Junior Nvidia Engineering jobs near you
Infographic showing various Junior Nvidia Engineering job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Developer Technology Engineer - Windows AI Platform

NVIDIA

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 24 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

Job Summary:
NVIDIA is a leader in AI technology, working to define the next era of computing. The Developer Technology Engineer role focuses on collaborating with industry partners to enhance AI GPU deployment challenges and improve user experiences on the NVIDIA RTX platform.
Responsibilities:
• Work closely with internal engineering and product teams and external app developers on solving local end-to-end AI GPU deployment challenges on the NVIDIA RTX AI platform.
• Apply powerful profiling and debugging tools for analyzing most demanding GPU-accelerated end-to-end AI applications to detect insufficient GPU utilization resulting in suboptimal runtime performance.
• Conduct hands-on trainings, develop sample code and host presentations to give good guidance on efficient end-to-end AI deployment targeting optimal runtime performance on NVIDIA ARM-based SoCs.
• Improve Windows LLM & GenAI user experience on NVIDIA RTX by working on feature and performance enhancements of OSS software, including but not limited to projects like GGML, Llama.cpp, Ollama, ONNX Runtime.
• Collaborate with GPU driver and architecture teams as well as NVIDIA research to influence next generation GPU features by providing real-world workflows and giving feedback on partner and customer needs.
• Providing technical leadership and mentorship to junior engineers, encouraging an inclusive and high-performing team environment.
Qualifications:
Required:
• A proven track record of 8+ years of professional experience in local GPU deployment, profiling and optimization.
• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
• Strong proficiency in C/C++, Python, software design, programming techniques.
• Familiarity with and development experience on the Windows operating system.
• Experience working with open-source LLM and GenAI software.
• Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite.
• Some travel is required for conferences and for on-site visits with external partners.
• Strong problem-solving skills and the ability to work both independently and collaboratively in a fast-paced environment.
• Excellent interpersonal and communication skills and a passion for keeping track with the latest advancements in AI technology.
Preferred:
• Experience with GPU-accelerated AI inference driven by NVIDIA APIs, specifically cuDNN, CUTLASS, TensorRT.
• Confirmed expert knowledge in Vulkan and / or DX12.
• Detailed knowledge of the latest generation GPU architectures.
• Experience with AI deployment on NPUs and ARM architectures.
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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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