... executives and engineering to solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter Qualifications : Required : • Strong foundational ...
... executives and engineering to solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter Qualifications : Required : • Strong foundational ...
Develop alliances with hardware partners like NVIDIA, AMD, Dell, and Lenovo to support AI ... Engineering, or a related field. * Experience: 10+ years of executive experience in enterprise ...
Develop alliances with hardware partners like NVIDIA, AMD, Dell, and Lenovo to support AI ... Engineering, or a related field. * Experience: 10+ years of executive experience in enterprise ...
Develop alliances with hardware partners like NVIDIA, AMD, Dell, and Lenovo to support AI ... Engineering, or a related field. * Experience: 10+ years of executive experience in enterprise ...
Develop alliances with hardware partners like NVIDIA, AMD, Dell, and Lenovo to support AI ... Engineering, or a related field. * Experience: 10+ years of executive experience in enterprise ...
... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...
Quick apply
... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...
... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...
... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...
... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...
... assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating ... Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ...
Director of Engineering
Reston, VA · On-site
Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception ... Reports to Founding leadership / CEO and CTO-level leadership. * Ideal profile: Engineering leader ...
Director of Engineering
Reston, VA · On-site
Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception ... Reports to Founding leadership / CEO and CTO-level leadership. * Ideal profile: Engineering leader ...
Develop alliances with hardware and infrastructure partners, including NVIDIA, AMD, Dell, and ... Collaborate with enterprise account executives to incorporate partners into account strategies and ...
Develop alliances with hardware and infrastructure partners, including NVIDIA, AMD, Dell, and ... Collaborate with enterprise account executives to incorporate partners into account strategies and ...
Develop alliances with hardware and infrastructure partners, including NVIDIA, AMD, Dell, and ... Collaborate with enterprise account executives to incorporate partners into account strategies and ...
Develop alliances with hardware and infrastructure partners, including NVIDIA, AMD, Dell, and ... Collaborate with enterprise account executives to incorporate partners into account strategies and ...
Forward Deployed Engineer
Reston, VA · On-site
This is a hands-on engineering role with significant customer exposure. You will write code, design ... Willingness to travel for customer workshops, onsite deployments, executive briefings, and go-lives.
Forward Deployed Engineer
Reston, VA · On-site
This is a hands-on engineering role with significant customer exposure. You will write code, design ... Willingness to travel for customer workshops, onsite deployments, executive briefings, and go-lives.
Strategic Technology Partnerships Manager
Reston, VA · On-site
$135K - $216K/yr
... Azure, NVIDIA, and next-generation AI and cyber platforms. Based in Reston, Virginia, this role ... You will collaborate across engineering, capture, delivery, and executive teams to translate ...
Strategic Technology Partnerships Manager
Reston, VA · On-site
$135K - $216K/yr
... Azure, NVIDIA, and next-generation AI and cyber platforms. Based in Reston, Virginia, this role ... You will collaborate across engineering, capture, delivery, and executive teams to translate ...
Strategic Technology Partnerships Manager
$135K - $216K/yr
... NVIDIA, and nextgeneration AI and cyber platforms. Based in Reston, Virginia, this role will shape ... You will collaborate across engineering, capture, delivery, and executive teams to translate ...
Strategic Technology Partnerships Manager
$135K - $216K/yr
... NVIDIA, and nextgeneration AI and cyber platforms. Based in Reston, Virginia, this role will shape ... You will collaborate across engineering, capture, delivery, and executive teams to translate ...
Strategic Technology Partnerships Manager
$135K - $216K/yr
... NVIDIA, and nextgeneration AI and cyber platforms. Based in Reston, Virginia, this role will shape ... You will collaborate across engineering, capture, delivery, and executive teams to translate ...
Strategic Technology Partnerships Manager
$135K - $216K/yr
... NVIDIA, and nextgeneration AI and cyber platforms. Based in Reston, Virginia, this role will shape ... You will collaborate across engineering, capture, delivery, and executive teams to translate ...
Physical AI Senior Manager
Rosslyn, VA · On-site
$144K - $190K/yr
... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ...
Physical AI Senior Manager
Rosslyn, VA · On-site
$144K - $190K/yr
... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ...
Physical AI Senior Manager
Richmond, VA · On-site
$125K - $165K/yr
... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ...
Physical AI Senior Manager
Richmond, VA · On-site
$125K - $165K/yr
... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ...
Physical AI Senior Manager
Mclean, VA · On-site
$127K - $168K/yr
... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ...
Physical AI Senior Manager
Mclean, VA · On-site
$127K - $168K/yr
... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ...
Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...
Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...
Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...
Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...
Oracle Gen AI Manager
Arlington, VA · On-site
Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...
Oracle Gen AI Manager
Arlington, VA · On-site
Today's chief financial officers (CFOs) and supply chain executives are being asked to improve ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...
Executive Nvidia Engineering information
What engineer makes $500,000 a year?
Senior engineers in specialized fields such as software, hardware, or systems engineering at large technology companies can earn $500,000 or more annually, especially with bonuses, stock options, and other incentives. These roles typically require extensive experience, advanced skills, and often involve leadership or highly technical responsibilities.
How difficult is it to get hired at NVIDIA?
Getting hired as an Executive Nvidia Engineer is highly competitive, requiring a strong background in engineering, advanced technical skills, and relevant industry experience. Candidates often undergo multiple interview rounds, including technical assessments and behavioral interviews, and must demonstrate expertise in areas such as GPU architecture, software development, or AI. A solid educational background and a track record of innovation can improve chances of selection.
What is the highest paying job in NVIDIA?
The highest paying roles at NVIDIA typically include executive positions such as Chief Executive Officer (CEO), Chief Technology Officer (CTO), and Vice Presidents, which offer compensation packages that include high base salaries, bonuses, and stock options. Senior engineering roles, especially those involving leadership or specialized expertise in AI, graphics, or hardware development, can also command high salaries. Compensation varies based on experience, responsibilities, and performance, with executive roles generally earning the most.
What is the difference between Executive Nvidia Engineering vs Nvidia Hardware Engineer?
| Aspect | Executive Nvidia Engineering | Nvidia Hardware Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Engineering, Business, or related fields; leadership experience | Bachelor's or Master's in Electrical, Computer, or Hardware Engineering; technical certifications |
| Work Environment | Leadership meetings, strategic planning, cross-department collaboration | Design, testing, and development of hardware components in labs or offices |
| Employer & Industry Usage | Used in corporate leadership, product strategy, and high-level project management within Nvidia | Used in R&D, product development, and technical implementation teams at Nvidia |
Executive Nvidia Engineering roles focus on strategic leadership, project oversight, and high-level decision-making, often requiring management experience. Nvidia Hardware Engineers concentrate on designing and testing hardware components, requiring technical expertise. Both roles are integral to Nvidia's success but differ significantly in responsibilities and work environment.
How much do NVIDIA engineers get paid?
NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for an NVIDIA software engineer is typically between $100,000 and $150,000. Senior engineers and those with specialized skills in AI, graphics, or hardware development can earn higher compensation, often including bonuses and stock options.
What are the key skills and qualifications needed to thrive as an Executive Nvidia Engineer, and why are they important?
To thrive as an Executive Nvidia Engineer, you need advanced expertise in computer engineering, deep learning, and GPU architecture, typically supported by a relevant engineering degree and extensive industry experience. Proficiency with programming languages like C++ and Python, experience with CUDA, and familiarity with AI frameworks such as TensorFlow or PyTorch are crucial, as are potential certifications in cloud or AI technologies. Leadership, strategic thinking, and strong communication skills are vital for driving innovation and leading high-performance teams. These skills and qualities ensure the effective development and deployment of cutting-edge technologies while aligning technical initiatives with organizational goals.
What does an Executive Nvidia Engineering professional do?
An Executive Nvidia Engineering professional typically leads engineering teams and oversees technical projects at Nvidia, focusing on innovative solutions in areas such as graphics processing, artificial intelligence, and high-performance computing. They are responsible for setting technical vision, managing large-scale engineering operations, and aligning projects with the company's business goals. Additionally, they collaborate closely with other executives, stakeholders, and partners to drive strategic initiatives and ensure product excellence. Their role requires deep technical knowledge, leadership skills, and the ability to operate in a fast-paced, cutting-edge technology environment.
How does an Executive Nvidia Engineering role typically collaborate with cross-functional teams within the company?
In an Executive Nvidia Engineering position, collaboration with cross-functional teams is central to driving innovation and meeting business objectives. Executives often work closely with product managers, software and hardware engineering teams, research scientists, and business development leaders to align technical projects with strategic goals. They facilitate communication between technical and non-technical stakeholders, ensuring that engineering efforts support product roadmaps and customer needs. This role frequently involves leading cross-departmental meetings, resolving technical challenges, and mentoring team leads to foster a culture of collaboration and high performance.
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Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 245 rated software companies
Job description
Job Summary:
NVIDIA is a leading technology company known for revolutionizing the field of AI with data center scale solutions. They are seeking a Senior Solutions Architect to design, build, and maintain large scale HPC and AI hybrid computing solutions, collaborating closely with partners and customers to operationalize AI solutions at scale.
Responsibilities:
• guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks
• delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs
• collaborating with executives and engineering to solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter
Qualifications:
Required:
• Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
• Established track record working with AI and HPC clusters, both on-premises and cloud based.
• 12 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
• Hands-on experience with network, storage, cluster configuration and debugging.
• Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
• Ability to multitask efficiently in a dynamic environment.
Preferred:
• Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
• Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions.
• Exhibit hands on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs.
• Willingness and ability to learn quickly and solve advanced problems.
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 a leading technology company known for revolutionizing the field of AI with data center scale solutions. They are seeking a Senior Solutions Architect to design, build, and maintain large scale HPC and AI hybrid computing solutions, collaborating closely with partners and customers to operationalize AI solutions at scale.
Responsibilities:
• guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks
• delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs
• collaborating with executives and engineering to solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter
Qualifications:
Required:
• Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
• Established track record working with AI and HPC clusters, both on-premises and cloud based.
• 12 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.
• Hands-on experience with network, storage, cluster configuration and debugging.
• Strong analytical and problem-solving skills, along with an ability to articulate what you know to others.
• Ability to multitask efficiently in a dynamic environment.
Preferred:
• Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities.
• Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions.
• Exhibit hands on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs.
• Willingness and ability to learn quickly and solve advanced problems.
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