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Temporary Nvidia Data Scientist Jobs (NOW HIRING)

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Lead Data Scientist

OR · On-site +1

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Lead Data Scientist

OR · Remote

$166K - $214K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

As a Data Scientist in IG Labs, you will utilize your analytic and methodological skills and use ... Experience NVIDIA Technology & frameworks * Experience with data transport and transformation APIs ...

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale ... The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ...

Showing results 21-40

Temporary Nvidia Data Scientist information

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$46K

$165K

$243.5K

How much do temporary nvidia data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for temporary 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 Temporary Nvidia Data Scientist vs Temporary Nvidia Data Analyst?

AspectTemporary Nvidia Data ScientistTemporary Nvidia Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related field; experience with machine learning and AIBachelor's in Data Analysis, Statistics, or related; proficiency in data visualization and SQL
Work EnvironmentCollaborates with AI/ML teams on complex models, often in R&D settingsSupports business insights, reports, and dashboards within corporate or project teams
Employer & Industry UsageTech companies, AI research labs, GPU-focused firmsBusiness intelligence, finance, marketing, and data-driven industries

Temporary Nvidia Data Scientists focus on developing AI and machine learning models, requiring advanced technical skills and research experience. In contrast, Temporary Nvidia Data Analysts primarily interpret data, create reports, and support decision-making with less emphasis on AI/ML techniques. Both roles are essential in tech and data-driven industries but serve different functions within organizations.

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Infographic showing various Temporary Nvidia Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Systems Software Engineer, Data Center Platform Enablement

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 11 hours ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 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 Engineer to 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 hardware system design, 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-up and 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 August 15, 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.

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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