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Full Time Nvidia Data Scientist Jobs (NOW HIRING)

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Full Time Nvidia Data Scientist information

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$46K

$165K

$243.5K

How much do full time nvidia data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time nvidia data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Nvidia Data Scientist vs Full Time Nvidia Machine Learning Engineer?

AspectFull Time Nvidia Data ScientistFull Time Nvidia Machine Learning Engineer
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; experience with data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; experience with ML frameworks
Work EnvironmentData analysis, statistical modeling, data visualization in a corporate or research settingDeveloping, deploying ML models, software engineering tasks in a tech environment
Employer & Industry UsageUsed in data-driven decision making, analytics teams at NvidiaUsed in AI product development, software solutions at Nvidia

While both roles require strong technical skills and familiarity with Nvidia's ecosystem, data scientists focus on analyzing data and generating insights, whereas machine learning engineers develop and implement ML models. The roles often collaborate but differ in daily tasks and skill emphasis.

What cities are hiring for Full Time Nvidia Data Scientist jobs?

Cities with the most Full Time Nvidia Data Scientist job openings:

What are the most commonly searched types of Nvidia Data Scientist jobs?

The most popular types of Nvidia Data Scientist jobs are:

What states have the most Full Time Nvidia Data Scientist jobs?

States with the most job openings for Full Time Nvidia Data Scientist jobs include:

Senior Systems Software Engineer, Data Center Platform Enablement

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Re-posted 21 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world.Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.

NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineerto work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks - ensuring servers are fully functional and validated as per requirement before mass deployment in data centers.

What you'll be doing:

  • Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs.

  • Working closely with hardware teams to influence hardwaresystemdesign, reviewing schematics and board design to ensure speed of light execution.

  • Using simulation and emulation to left-shift early design and initiate new concepts and innovations.

  • Hands on debug and support of early server prototypes bring-upand power on test debug in datacenter system labs.

  • Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and process optimization.

  • Issue Resolution & Customer Support: Drive root cause analysis and resolution of bring-up failures. Collaborate with partners, ODMs, and customers for technical support.

  • Working with design architects to come up with proper diagnostic test tools and automation for qualifying the early system software and firmware stack.

What we need to see:

  • Strong experience of computer system and firmware architecture and design for server products. Experience with CPLD or FPGA design and RTL.

  • Solid experience of end-to-end delivery of high-end enterprise server products from definition to customer deployment.

  • Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. System boot and initialization, PCIe enumeration, high speed I/O at platform level for enterprise systems.

  • Experience on working closely with HW teams, ODMs and vendors to introduce and support server platforms.Experience with C/C++ development, bash/python for scripting, and solid hands-on debugging skills in embedded Linux operating environments.

  • Experience on using simulation such as QEMU and emulation tools to perform validation of early design work. Experience with accelerating design and debug by using AI tools.

  • You should possess excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work and commitment to finish your tasks every single day.

  • You are a self-starter who loves to find creative solutions to exciting problems.

  • Bachelor's Degree or higher in Electrical Engineering or Computer Science (or equivalent experience), and 8+ years of experience, with demonstrated strong ability as individual contributor.

Ways to stand out from the crowd:

  • Experience with early design and power on debug

  • Proven leader who is willing to tackle challenging issues and work in a fast-paced environment

NVIDIA is considered one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!

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 September 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

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Benefits

Hours and flexibility

Workplace

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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