... from early technical alignment and pre‑production readiness through large‑scale deployment ... areas for NVIDIA engineering teams, while clearly communicating NVIDIA platform capabilities ...
... from early technical alignment and pre‑production readiness through large‑scale deployment ... areas for NVIDIA engineering teams, while clearly communicating NVIDIA platform capabilities ...
Own the endtoend CSP engagement lifecycle, from early technical alignment and preproduction ... areas for NVIDIA engineering teams, while clearly communicating NVIDIA platform capabilities ...
Own the endtoend CSP engagement lifecycle, from early technical alignment and preproduction ... areas for NVIDIA engineering teams, while clearly communicating NVIDIA platform capabilities ...
... NVIDIA's engineering organization. Your work will help thousands of engineers move faster and ... Ways to stand out from the crowd: * Built AI tools, copilots, or autonomous agents that materially ...
... NVIDIA's engineering organization. Your work will help thousands of engineers move faster and ... Ways to stand out from the crowd: * Built AI tools, copilots, or autonomous agents that materially ...
Own the end-to-end CSP engagement lifecycle, from early technical alignment and pre-production ... areas for NVIDIA engineering teams, while clearly communicating NVIDIA platform capabilities ...
Own the end-to-end CSP engagement lifecycle, from early technical alignment and pre-production ... areas for NVIDIA engineering teams, while clearly communicating NVIDIA platform capabilities ...
... NVIDIA's engineering organization. Your work will help thousands of engineers move faster and ... Ways to stand out from the crowd: * Built AI tools, copilots, or autonomous agents that materially ...
... NVIDIA's engineering organization. Your work will help thousands of engineers move faster and ... Ways to stand out from the crowd: * Built AI tools, copilots, or autonomous agents that materially ...
... from engineering. • Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency. • Ensure system reliability through monitoring ...
... from engineering. • Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency. • Ensure system reliability through monitoring ...
... from its design phase into mass production. What you'll be doing? * Work on NVIDIA Engineering boards, tester system to support gaming / workstation / compute GPU cards during NPI and in production
... from its design phase into mass production. What you'll be doing? * Work on NVIDIA Engineering boards, tester system to support gaming / workstation / compute GPU cards during NPI and in production
... NVIDIA DRIVE OS Build & Release Engineering team. NVIDIA DRIVE OS is a foundational software ... Ways to Stand Out from the Crowd: * Experience crafting production-grade agentic AI systems that ...
... NVIDIA DRIVE OS Build & Release Engineering team. NVIDIA DRIVE OS is a foundational software ... Ways to Stand Out from the Crowd: * Experience crafting production-grade agentic AI systems that ...
Manager, Product Engineering Manufacturing - AI and Networking
Santa Clara, CA · On-site
$196K - $203K/yr
NVIDIA is seeking a highly hands-on Manager of Product Engineeringto lead end-to-end manufacturing ... Your primary responsibility is to personally drive endtoend manufacturingexecution- from early NPI ...
Manager, Product Engineering Manufacturing - AI and Networking
Santa Clara, CA · On-site
$196K - $203K/yr
NVIDIA is seeking a highly hands-on Manager of Product Engineeringto lead end-to-end manufacturing ... Your primary responsibility is to personally drive endtoend manufacturingexecution- from early NPI ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Ways to stand out from the crowd: * Experience leading FAEs or technical teams through rack-scale ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Ways to stand out from the crowd: * Experience leading FAEs or technical teams through rack-scale ...
Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams toidentify ... Ways to Stand Out from the crowd: * Experience working with AI-native startups building developer ...
Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams toidentify ... Ways to Stand Out from the crowd: * Experience working with AI-native startups building developer ...
... from its design phase into mass production. What you'll be doing? * Work on NVIDIA Engineering boards, tester system to support gaming / workstation / compute GPU cards during NPI and in production
... from its design phase into mass production. What you'll be doing? * Work on NVIDIA Engineering boards, tester system to support gaming / workstation / compute GPU cards during NPI and in production
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...
... NVIDIA DRIVE OS Build & Release Engineering team. NVIDIA DRIVE™ OS is a foundational software ... Ways to Stand Out from the Crowd: * Experience crafting production-grade agentic AI systems that ...
... NVIDIA DRIVE OS Build & Release Engineering team. NVIDIA DRIVE™ OS is a foundational software ... Ways to Stand Out from the Crowd: * Experience crafting production-grade agentic AI systems that ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Ways to stand out from the crowd: * Experience leading FAEs or technical teams through rack-scale ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Ways to stand out from the crowd: * Experience leading FAEs or technical teams through rack-scale ...
... engineers, and business teams. Ways to stand out from the crowd: * Hands-on experience with NVIDIA Robotics libraries such as Isaac ROS and cuVSLAM, as well as simulation frameworks like Isaac Sim ...
... engineers, and business teams. Ways to stand out from the crowd: * Hands-on experience with NVIDIA Robotics libraries such as Isaac ROS and cuVSLAM, as well as simulation frameworks like Isaac Sim ...
Principal Software Engineer - Compute Infrastructure
Santa Clara, CA · On-site
$158K - $212K/yr
Collaborate with highly autonomous NVIDIA engineering teams to drive cultural adoption of standard ... from the ground up on existing foundations. Company : NVIDIA is a computing platform company ...
Principal Software Engineer - Compute Infrastructure
Santa Clara, CA · On-site
$158K - $212K/yr
Collaborate with highly autonomous NVIDIA engineering teams to drive cultural adoption of standard ... from the ground up on existing foundations. Company : NVIDIA is a computing platform company ...
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! #NALASAHiring Your base salary will be ...
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! #NALASAHiring Your base salary will be ...
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...
Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...
From Home Nvidia Engineering information
See salary details
$46.5K - $58.1K
1% of jobs
$58.1K - $69.7K
1% of jobs
$69.7K - $81.3K
2% of jobs
$81.3K - $92.9K
5% of jobs
$92.9K - $104.5K
7% of jobs
$114.1K is the 25th percentile. Wages below this are outliers.
$104.5K - $116K
10% of jobs
$116K - $127.6K
7% of jobs
$127.6K - $139.2K
6% of jobs
$139.2K - $150.8K
4% of jobs
$150.8K - $162.4K
3% of jobs
The median wage is $162.9K / yr.
$162.4K - $174K
52% of jobs
$46.5K
$146.9K
$174K
How much do from home nvidia engineering jobs pay per year?
As of Jul 23, 2026, the average yearly pay for from home nvidia engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.
How difficult is it to get hired at NVIDIA?
Getting hired as an NVIDIA engineer can be competitive due to the company's high standards for technical skills, including expertise in areas like GPU architecture, programming, and machine learning. Candidates typically need a strong educational background, relevant experience, and proficiency with tools such as CUDA and deep learning frameworks. The hiring process often involves multiple interviews and technical assessments to evaluate problem-solving abilities and technical knowledge.
What engineer makes $500,000 a year?
Highly experienced engineers in specialized fields such as software engineering, hardware engineering, or systems architecture can earn $500,000 or more annually, especially in senior or executive roles at major technology companies. These positions often require advanced skills, extensive experience, and sometimes leadership responsibilities or stock options.
What is the difference between From Home Nvidia Engineering vs From Home Nvidia Software Developer?
| Aspect | From Home Nvidia Engineering | From Home Nvidia Software Developer |
|---|---|---|
| Required Credentials | Bachelor's in Engineering, Computer Science, or related field; often requires hardware or systems certifications | Bachelor's in Computer Science, Software Engineering, or related; certifications like Microsoft or AWS are common |
| Work Environment | Primarily hardware-focused, involving testing, troubleshooting, and designing GPU systems remotely | Primarily software-focused, involving coding, debugging, and software development remotely |
| Employer & Industry Usage | Used by Nvidia for hardware and system design roles, often in R&D or product development | Used by Nvidia for software development roles, including driver development and application software |
From Home Nvidia Engineering roles focus on hardware, systems, and GPU design, requiring engineering credentials. In contrast, From Home Nvidia Software Developer roles center on coding and software solutions, requiring programming skills. Both roles are remote, industry-specific, and essential to Nvidia's product development, but they differ in technical focus and required expertise.
How much do NVIDIA engineers get paid?
NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Entry-level positions may start lower, while senior engineers with specialized skills or in high-cost areas can earn significantly more. Compensation often includes benefits such as bonuses, stock options, and health insurance.
Can you work from home at NVIDIA?
NVIDIA offers remote work options for certain engineering roles, including those in hardware and software engineering. Eligibility depends on the specific position, team needs, and company policies, with some roles requiring on-site presence or hybrid arrangements. Candidates should review job postings for remote work opportunities and requirements.
What cities are hiring for From Home Nvidia Engineering jobs? Cities with the most From Home Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most From Home Nvidia Engineering jobs? States with the most job openings for From Home Nvidia Engineering jobs include:
Full-time
Posted 3 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
5th of 215 rated software companies
Job description
Job Summary:
NVIDIA is seeking a Senior Technical Program Manager to join the CSP Engagements team, focused on deep technical engagement with hyperscale cloud service providers for NVIDIA’s next‑generation datacenter systems. This role involves leading technical engagements, aligning software architecture, and managing the end-to-end CSP engagement lifecycle for successful deployment of NVIDIA-based datacenter solutions.
Responsibilities:
• Lead deep technical engagements with hyperscale CSPs as the primary NVIDIA point of contact for system software, firmware, and platform readiness for NVIDIA datacenter products.
• Partner directly with CSP system software, firmware, and infrastructure engineering leaders to align on software architecture, bring‑up plans, deployment readiness, and production requirements for NVIDIA‑based server and rack‑scale platforms.
• Represent CSP technical priorities internally, advocating for customer requirements and tradeoffs across NVIDIA’s system software, firmware, hardware, silicon, and product teams are aligned to customer needs, timelines, and constraints.
• Own the end‑to‑end CSP engagement lifecycle, from early technical alignment and pre‑production readiness through large‑scale deployment, escalation management, and sustained production support.
• Drive bi‑directional technical communication: translating CSP system‑level requirements into actionable focus areas for NVIDIA engineering teams, while clearly communicating NVIDIA platform capabilities, tradeoffs, and limitations back to customers.
• Proactively identify and manage cross‑company technical risks affecting CSP deployments, including OS enablement, firmware maturity, observability, reliability, and hardware/software integration challenges.
• Support rack‑scale and multi‑rack datacenter deployments by working closely with CSP infrastructure teams and NVIDIA engineering stakeholders to ensure system software readiness and operational success at hyperscale.
Qualifications:
Required:
• Strong background in systems or embedded software, with experience across Linux kernel/drivers, server firmware (BMC/BIOS/UEFI), or datacenter platform bring‑up and hardware/software interfaces.
• Demonstrated technical leadership as a software engineering manager, technical lead/architect, or senior systems/platform engineer leading large cross‑functional efforts.
• Demonstrated experience delivering datacenter server software or rack scale systems, not application only or SaaS only software.
• Experience working directly with hyperscale CSP engineering teams on deep technical topics, including bring up, performance, reliability, observability, and deployment readiness.
• Strong ability to operate as a technical leader and influencer, aligning senior engineers, architects, and executives across organizational and company boundaries.
• BS or MS in Computer Engineering, Computer Science, or equivalent experience.
• 10+ years of experience in systems software, embedded software, or datacenter server development, including leadership responsibility.
Preferred:
• Direct experience with NVIDIA GB200 and/or GB300 platforms, including hands‑on or leadership involvement in system software, firmware, or platform enablement efforts.
• Experience driving or supporting CSP-facing engagements specifically for NVIDIA datacenter platforms, translating GB200 / GB300 software and firmware capabilities into production‑ready solutions.
• Familiarity with the end‑to‑end NVIDIA data center software stack, including system software bring‑up, platform integration, observability, reliability, and deployment considerations at hyperscale.
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 seeking a Senior Technical Program Manager to join the CSP Engagements team, focused on deep technical engagement with hyperscale cloud service providers for NVIDIA’s next‑generation datacenter systems. This role involves leading technical engagements, aligning software architecture, and managing the end-to-end CSP engagement lifecycle for successful deployment of NVIDIA-based datacenter solutions.
Responsibilities:
• Lead deep technical engagements with hyperscale CSPs as the primary NVIDIA point of contact for system software, firmware, and platform readiness for NVIDIA datacenter products.
• Partner directly with CSP system software, firmware, and infrastructure engineering leaders to align on software architecture, bring‑up plans, deployment readiness, and production requirements for NVIDIA‑based server and rack‑scale platforms.
• Represent CSP technical priorities internally, advocating for customer requirements and tradeoffs across NVIDIA’s system software, firmware, hardware, silicon, and product teams are aligned to customer needs, timelines, and constraints.
• Own the end‑to‑end CSP engagement lifecycle, from early technical alignment and pre‑production readiness through large‑scale deployment, escalation management, and sustained production support.
• Drive bi‑directional technical communication: translating CSP system‑level requirements into actionable focus areas for NVIDIA engineering teams, while clearly communicating NVIDIA platform capabilities, tradeoffs, and limitations back to customers.
• Proactively identify and manage cross‑company technical risks affecting CSP deployments, including OS enablement, firmware maturity, observability, reliability, and hardware/software integration challenges.
• Support rack‑scale and multi‑rack datacenter deployments by working closely with CSP infrastructure teams and NVIDIA engineering stakeholders to ensure system software readiness and operational success at hyperscale.
Qualifications:
Required:
• Strong background in systems or embedded software, with experience across Linux kernel/drivers, server firmware (BMC/BIOS/UEFI), or datacenter platform bring‑up and hardware/software interfaces.
• Demonstrated technical leadership as a software engineering manager, technical lead/architect, or senior systems/platform engineer leading large cross‑functional efforts.
• Demonstrated experience delivering datacenter server software or rack scale systems, not application only or SaaS only software.
• Experience working directly with hyperscale CSP engineering teams on deep technical topics, including bring up, performance, reliability, observability, and deployment readiness.
• Strong ability to operate as a technical leader and influencer, aligning senior engineers, architects, and executives across organizational and company boundaries.
• BS or MS in Computer Engineering, Computer Science, or equivalent experience.
• 10+ years of experience in systems software, embedded software, or datacenter server development, including leadership responsibility.
Preferred:
• Direct experience with NVIDIA GB200 and/or GB300 platforms, including hands‑on or leadership involvement in system software, firmware, or platform enablement efforts.
• Experience driving or supporting CSP-facing engagements specifically for NVIDIA datacenter platforms, translating GB200 / GB300 software and firmware capabilities into production‑ready solutions.
• Familiarity with the end‑to‑end NVIDIA data center software stack, including system software bring‑up, platform integration, observability, reliability, and deployment considerations at hyperscale.
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