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Manager Nvidia Data Scientist Jobs (NOW HIRING)

NVIDIA Corporation

$176 - $276/hr

... and manage Kubernetes-based platform infrastructure supporting AI/ML workloads on NVIDIA Data ... What we need to see:*** BS or MS in Computer Science, Computer Engineering, or a related field, or ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo. * Knowledge of ...

Nvidia

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large ... Scientist to join our team and help advance our capabilities in synthetic data generation for ...

Smarsh

Lead Data Scientist

New York, NY

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Nvidia

Senior Product Marketing Manager

Santa Clara, CA · Hybrid

$142K - $186K/yr

We are looking for a Product Marketing Manager to join the NVIDIA Data center product marketing ... The NVIDIA AI platform has changed data center computing. It is the engines fueling the modern ...

Smarsh

Lead Data Scientist

OR · On-site +1

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

OR · Remote

$180K - $200K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$180K - $200K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of ...

Nvidia

Senior Product Marketing Manager

Seattle, WA · Hybrid

$137K - $180K/yr

We are looking for a Product Marketing Manager to join the NVIDIA Data center product marketing ... The NVIDIA AI platform has changed data center computing. It is the engines fueling the modern ...

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Manager Nvidia Data Scientist information

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$46K

$165K

$243.5K

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

As of Aug 23, 2026, the average yearly pay for manager 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 Manager Nvidia Data Scientist vs Data Scientist?

AspectManager Nvidia Data ScientistData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; often requires leadership experienceBachelor's/Master's in CS, Statistics, or related; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsAnalyzes data, develops models, reports findings
Employer & IndustryTech companies, AI/ML firms, hardware manufacturers like NvidiaVarious industries including tech, finance, healthcare, research

The main difference is that a Manager Nvidia Data Scientist oversees data science teams and projects, requiring leadership skills, while a Data Scientist focuses on technical data analysis and modeling. The manager role involves strategic planning and team management, whereas the data scientist role emphasizes technical expertise and data analysis.

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Manager Nvidia Data Scientist jobs near you
Infographic showing various Manager Nvidia Data Scientist job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior DevOps Engineer, Platform Engineering

Nvidia Corporation

Santa Clara, CA • On-site

$152K - $196K/yr

Full-time

Re-posted 9 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 246 rated software companies

Job description

At NVIDIA, our work is dedicated to a computing model passionate about visual and AI computing. For twenty years, NVIDIA has led the way in visual computing, the science and art of computer graphics, through our invention of the GPU. The GPU has proven extremely effective in solving complex computer science challenges. Today, NVIDIA's GPU powers deep learning algorithms, simulating human intelligence. It serves as the brain for computers, robots, and self-driving cars that perceive and interpret the world. We aim to expand our company and teams with the brightest minds globally, and now is an exciting time to join us!
NVIDIA invites applications for a Senior DevOps Platform Engineer skilled in Platform and Release Engineering to join the Metropolis team. The role involves developing, building, and maintaining foundational infrastructure and CI/CD systems that run AI/Machine Learning video analytics workloads at scale using NVIDIA Data Center GPUs. You will foster engineering rigor by setting up reliable release workflows, automation systems, and developer tools to improve efficiency on the Metropolis platform.
What you'll be doing:
  • Compose, build, and maintain scalable CI/CD pipelines using Jenkins, GitHub/GitLab Actions and Runners for Metropolis software products.
  • Develop and manage Kubernetes-based platform infrastructure supporting AI/ML workloads on NVIDIA Data Center GPUs.
  • Build and implement scaling and performance measurement frameworks within Kubernetes to ensure platform reliability and efficiency under AI/ML workload demands.
  • Define and implement release engineering processes, branching strategies, versioning standards, and gating criteria.
  • Drive developer efficiency by building and maintaining DevOps MCP servers, tooling, and automation frameworks.
  • Own observability and monitoring infrastructure using Prometheus, Grafana, and log aggregation pipelines.
  • Troubleshoot hardware and operating system issues across BareMetal and GPU-accelerated servers to minimize downtime and maintain platform stability.

What we need to see:
  • BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience, with over 6+ years of relevant industry background.
  • Advanced skills in Python for scripting, tooling, and automation.
  • Deep expertise with Kubernetes, Helm, and container orchestration in production environments.
  • Verified background in building and maintaining CI/CD pipelines at scale (Jenkins, GitHub/GitLab Actions and Runners, or similar).
  • Solid understanding of Linux systems administration, networking, and distributed systems.
  • Experience with release engineering practices including semantic versioning, release gating, and change management.
  • Hands-on experience with observability stacks (Prometheus, Grafana, ELK, or similar).

Ways to stand out from the crowd:
  • Experience with GPU infrastructure and AI/ML platform engineering at scale.
  • Background in BareMetal and hybrid cloud (AWS, GCP, Azure) environment management.
  • Familiarity with NVIDIA Metropolis, DeepStream, or similar AI video analytics platforms.
  • Experience with GitOps workflows, Infrastructure as Code (Terraform, Ansible).
  • Track record of driving DevOps culture transformation and developer experience improvements.

NVIDIA is often viewed as one of the most attractive companies to work for in the technology world. We have some of the most progressive and committed professionals in the field on our team. If you are inventive and independent, 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 176,000 USD - 276,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 17, 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

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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