Responsibilities : • Own delivery and quality of CPU bootloader firmware across NVIDIA's data ... analysis. • Build an AI-forward engineering culture by adopting AI coding assistants and LLM ...
Responsibilities : • Own delivery and quality of CPU bootloader firmware across NVIDIA's data ... analysis. • Build an AI-forward engineering culture by adopting AI coding assistants and LLM ...
... NVIDIA's Data Center related products. We are a data-driven team, dedicated to identifying and resolving issues by analyzing network results, conducting engineering experiments, and performing lab ...
... NVIDIA's Data Center related products. We are a data-driven team, dedicated to identifying and resolving issues by analyzing network results, conducting engineering experiments, and performing lab ...
NVIDIA is the AI computing company. Our Data Center Systems - including DGX, HGX, and MGX platforms ... shared root-cause analysis. * Build an AI-forward engineering culture by adopting AI coding ...
NVIDIA is the AI computing company. Our Data Center Systems - including DGX, HGX, and MGX platforms ... shared root-cause analysis. * Build an AI-forward engineering culture by adopting AI coding ...
Data Center Portfolio Manager
Santa Clara, CA · On-site
$196K/yr
NVIDIA's data centers host ground-breaking products across high-performance computing to machine ... Strong analytical and financial competence withabilityto bridge technical site readiness with ...
Data Center Portfolio Manager
Santa Clara, CA · On-site
$196K/yr
NVIDIA's data centers host ground-breaking products across high-performance computing to machine ... Strong analytical and financial competence withabilityto bridge technical site readiness with ...
Senior Customer Technical Program Manager - Data Center Quality and Sustaining
Santa Clara, CA · On-site
Identify areas for improvements in a partnership involving NVIDIA and manufacturers of equipment/devices production systems, applying data analysis and metrics to facilitate progress. * Collaborate ...
Senior Customer Technical Program Manager - Data Center Quality and Sustaining
Santa Clara, CA · On-site
Identify areas for improvements in a partnership involving NVIDIA and manufacturers of equipment/devices production systems, applying data analysis and metrics to facilitate progress. * Collaborate ...
... NVIDIA's Data Center related products. We are a data-driven team, dedicated to identifying and resolving issues by analyzing network results, conducting engineering experiments, and performing lab ...
... NVIDIA's Data Center related products. We are a data-driven team, dedicated to identifying and resolving issues by analyzing network results, conducting engineering experiments, and performing lab ...
Senior Customer Technical Program Manager - Data Center Quality and Sustaining
Santa Clara, CA · On-site
Identify areas for improvements in a partnership involving NVIDIA and manufacturers of equipment/devices production systems, applying data analysis and metrics to facilitate progress. * Collaborate ...
Senior Customer Technical Program Manager - Data Center Quality and Sustaining
Santa Clara, CA · On-site
Identify areas for improvements in a partnership involving NVIDIA and manufacturers of equipment/devices production systems, applying data analysis and metrics to facilitate progress. * Collaborate ...
Data Center Portfolio Manager
Santa Clara, CA · On-site
$196K/yr
NVIDIA's data centers host ground-breaking products across high-performance computing to machine ... Strong analytical and financial competence with ability to bridge technical site readiness with ...
Data Center Portfolio Manager
Santa Clara, CA · On-site
$196K/yr
NVIDIA's data centers host ground-breaking products across high-performance computing to machine ... Strong analytical and financial competence with ability to bridge technical site readiness with ...
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data ...
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data ...
OR · On-site
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data ...
We are seeking a diligent and analytical ODM Business Operations Manager to join NVIDIA's Data Center organization - the team constructing the world's AI factories. In this position, you will assist ...
We are seeking a diligent and analytical ODM Business Operations Manager to join NVIDIA's Data Center organization - the team constructing the world's AI factories. In this position, you will assist ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Drive the root-cause analysis of systemic failures that intersect multiple hardware and software ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Drive the root-cause analysis of systemic failures that intersect multiple hardware and software ...
Senior Mixed Design Validation Systems - Electrical/Optical Engineer
Santa Clara, CA · On-site
$126K - $164K/yr
Expert in data automation and analysis * Strong hands-on lab experience in Serdes PHY characterization NVIDIA is widely considered to be the leader of AI computing, and one of the technology world ...
Senior Mixed Design Validation Systems - Electrical/Optical Engineer
Santa Clara, CA · On-site
$126K - $164K/yr
Expert in data automation and analysis * Strong hands-on lab experience in Serdes PHY characterization NVIDIA is widely considered to be the leader of AI computing, and one of the technology world ...
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data ...
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 ... Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Review, analyze, and provide strategic mentorship on letters of intent, leases, subleases ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Review, analyze, and provide strategic mentorship on letters of intent, leases, subleases ...
OR · On-site
$134K - $180K/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Drive the root-cause analysis of systemic failures that intersect multiple hardware and software ...
NVIDIA is looking for a data analytics intern to work on datacenter telemetry information analysis and reporting. Be part of the company developing the most exciting computing hardware and software ...
NVIDIA is looking for a data analytics intern to work on datacenter telemetry information analysis and reporting. Be part of the company developing the most exciting computing hardware and software ...
As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and ... Analyze deployment and performance data, identifying product health trends, system bottlenecks, and ...
As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and ... Analyze deployment and performance data, identifying product health trends, system bottlenecks, and ...
As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and ... Analyze deployment and performance data, identifying product health trends, system bottlenecks, and ...
As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and ... Analyze deployment and performance data, identifying product health trends, system bottlenecks, and ...
OR · On-site
... NVIDIA accelerated computing combined with Palantir's platform to support critical federal missions including data-driven operations, AI-enabled decision making, and mission analytics. * Ability to ...
Nvidia Data Analytics information
See salary details
$24.52 - $30.88
10% of jobs
$30.88 - $37.24
6% of jobs
$37.24 - $43.60
7% of jobs
$44.33 is the 25th percentile. Wages below this are outliers.
$43.60 - $49.96
14% of jobs
The median wage is $53.27 / hr.
$49.96 - $56.32
24% of jobs
$60.73 is the 75th percentile. Wages above this are outliers.
$56.32 - $62.67
19% of jobs
$62.67 - $69.03
11% of jobs
$69.03 - $75.39
3% of jobs
$75.39 - $81.75
2% of jobs
$81.75 - $88.11
2% of jobs
$88.11 - $94.47
1% of jobs
$24
$54
$94
How much do nvidia data analytics jobs pay per hour?
As of Jun 7, 2026, the average hourly pay for nvidia data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Nvidia Data Analytics professional, and why are they important?
To excel as an Nvidia Data Analytics professional, you need strong analytical skills, expertise in statistics, and a solid background in computer science or data science, often supported by relevant degrees or certifications. Proficiency with Nvidia’s GPU computing platforms (such as CUDA), data analytics tools (like Python, R, and SQL), and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you interpret data insights and work effectively within multidisciplinary teams. These abilities are crucial for leveraging advanced analytics to drive innovation and informed decision-making at Nvidia.
What is the difference between Nvidia Data Analytics vs Data Scientist?
| Aspect | Nvidia Data Analytics | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science, Data Analytics, or related fields; knowledge of Nvidia tools | Bachelor's or higher in Computer Science, Statistics, or related fields; often advanced degrees |
| Work Environment | Tech companies, data centers, AI labs using Nvidia hardware and software | Various industries including tech, finance, healthcare; research and development roles |
| Employer & Industry Usage | Primarily in AI, machine learning, and data processing with Nvidia platforms | Across industries for data analysis, modeling, and insights generation |
While Nvidia Data Analytics focuses on leveraging Nvidia hardware and software for data processing and AI tasks, Data Scientists perform broader data analysis, modeling, and interpretation across various tools and platforms. Both roles require strong analytical skills, but Nvidia Data Analytics is more specialized in Nvidia technologies.
What are some common challenges faced by data analytics professionals at Nvidia, and how are they typically addressed?
Data analytics professionals at Nvidia often encounter challenges such as working with large, complex datasets and ensuring data quality across diverse sources. Additionally, they must stay updated with rapidly evolving analytics tools and technologies used within the company. Collaboration is key, as analytics teams regularly partner with engineering, product, and business units to align insights with strategic goals. To address these challenges, Nvidia fosters a culture of continuous learning, provides access to advanced computing resources, and encourages cross-functional teamwork.
What is an Nvidia Data Analytics professional?
An Nvidia Data Analytics professional is someone who uses Nvidia's hardware and software solutions to analyze large datasets, often leveraging GPU acceleration for faster data processing and advanced analytics. These professionals may work with Nvidia tools like RAPIDS, CUDA, and AI frameworks to perform tasks such as data preprocessing, machine learning, or deep learning. They play a key role in optimizing data workflows, improving model performance, and helping organizations make data-driven decisions, particularly in industries requiring high computational power.
Job description
Job Summary:
NVIDIA is the AI computing company, and they are seeking an Engineering Manager to lead the team that builds CPU bootloader firmware for their ARM-based data center CPUs. The role involves overseeing the delivery and quality of firmware, mentoring a distributed team, and collaborating with architecture teams to shape future silicon designs.
Responsibilities:
• Own delivery and quality of CPU bootloader firmware across NVIDIA’s data center CPU platforms, from architecture through production release.
• Lead, mentor, and grow a distributed team of firmware engineers focused on ARM bootloader, secure boot, and early system bring-up.
• Partner closely with NVIDIA’s CPU architecture team, contributing firmware perspective on hardware design and helping shape the next generation of silicon.
• Lead high-stakes technical reviews and drive rapid issue resolution across the hardware-software boundary, partnering with key stakeholders to accelerate time-to-market and ensure the delivery of production-ready solutions.
• Foster modern engineering practices: thoughtful code review, CI/CD pipelines, automated testing on emulation and silicon, and shared root-cause analysis.
• Build an AI-forward engineering culture by adopting AI coding assistants and LLM-based tools to improve team velocity and code quality.
• Support an async-first way of working that helps a geographically distributed team collaborate clearly across time zones.
• Plan and complete silicon tape-out and product launch milestones, sharing risks and status with senior leadership.
Qualifications:
Required:
• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 10+ overall years of relevant firmware or systems software experience, including bootloader, BIOS/UEFI, or embedded systems work.
• 3+ years of engineering management experience, with a track record of growing strong, supportive teams.
• Experience supporting distributed teams across multiple time zones, with a clear philosophy for helping autonomous contributors thrive.
• Solid foundation in C/C++ and the ability to engage in deep technical discussions about CPU bring-up, memory initialization, and hardware-software interfaces.
• Working knowledge of ARMv8/v9 architecture, exception levels, and bootloader concepts including reset flow, PSCI, and OS hand-off.
• Demonstrated AI-forward mindset; you use AI coding assistants in your own workflow and help your team adopt them.
• Excellent written and verbal communication skills, with a preference for written documentation that builds shared understanding for a remote team.
Preferred:
• Hands-on experience with ARM Trusted Firmware (TF-A), EL3 firmware, and chain-of-trust on ARM server platforms.
• Familiarity with UEFI/EDK II, device tree, ACPI, and modern server boot flows.
• Experience with pre-silicon firmware bring-up on emulation, FPGA, or simulation platforms, and the transition to first silicon.
• Track record of partnering with silicon design teams, contributing firmware-side input to RTL and microarchitectural decisions.
• Familiarity with NVIDIA Data Center platforms (DGX, HGX, MGX) or equivalent hyperscale infrastructure.
• Experience integrating AI tooling into engineering workflows: code generation, retrieval-augmented development, or LLM-assisted CI.
• Proven success building team culture across remote, asynchronous settings — including hiring, onboarding, and career development.
• Working knowledge of server management protocols (IPMI, MCTP, PLDM) or virtualization platforms (KVM, QEMU).
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 is the AI computing company, and they are seeking an Engineering Manager to lead the team that builds CPU bootloader firmware for their ARM-based data center CPUs. The role involves overseeing the delivery and quality of firmware, mentoring a distributed team, and collaborating with architecture teams to shape future silicon designs.
Responsibilities:
• Own delivery and quality of CPU bootloader firmware across NVIDIA’s data center CPU platforms, from architecture through production release.
• Lead, mentor, and grow a distributed team of firmware engineers focused on ARM bootloader, secure boot, and early system bring-up.
• Partner closely with NVIDIA’s CPU architecture team, contributing firmware perspective on hardware design and helping shape the next generation of silicon.
• Lead high-stakes technical reviews and drive rapid issue resolution across the hardware-software boundary, partnering with key stakeholders to accelerate time-to-market and ensure the delivery of production-ready solutions.
• Foster modern engineering practices: thoughtful code review, CI/CD pipelines, automated testing on emulation and silicon, and shared root-cause analysis.
• Build an AI-forward engineering culture by adopting AI coding assistants and LLM-based tools to improve team velocity and code quality.
• Support an async-first way of working that helps a geographically distributed team collaborate clearly across time zones.
• Plan and complete silicon tape-out and product launch milestones, sharing risks and status with senior leadership.
Qualifications:
Required:
• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 10+ overall years of relevant firmware or systems software experience, including bootloader, BIOS/UEFI, or embedded systems work.
• 3+ years of engineering management experience, with a track record of growing strong, supportive teams.
• Experience supporting distributed teams across multiple time zones, with a clear philosophy for helping autonomous contributors thrive.
• Solid foundation in C/C++ and the ability to engage in deep technical discussions about CPU bring-up, memory initialization, and hardware-software interfaces.
• Working knowledge of ARMv8/v9 architecture, exception levels, and bootloader concepts including reset flow, PSCI, and OS hand-off.
• Demonstrated AI-forward mindset; you use AI coding assistants in your own workflow and help your team adopt them.
• Excellent written and verbal communication skills, with a preference for written documentation that builds shared understanding for a remote team.
Preferred:
• Hands-on experience with ARM Trusted Firmware (TF-A), EL3 firmware, and chain-of-trust on ARM server platforms.
• Familiarity with UEFI/EDK II, device tree, ACPI, and modern server boot flows.
• Experience with pre-silicon firmware bring-up on emulation, FPGA, or simulation platforms, and the transition to first silicon.
• Track record of partnering with silicon design teams, contributing firmware-side input to RTL and microarchitectural decisions.
• Familiarity with NVIDIA Data Center platforms (DGX, HGX, MGX) or equivalent hyperscale infrastructure.
• Experience integrating AI tooling into engineering workflows: code generation, retrieval-augmented development, or LLM-assisted CI.
• Proven success building team culture across remote, asynchronous settings — including hiring, onboarding, and career development.
• Working knowledge of server management protocols (IPMI, MCTP, PLDM) or virtualization platforms (KVM, QEMU).
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.
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