Senior Solution Engineer, Compute Systems
for section headings (e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use - for any list of duties/requirements/benefits, and
for prose. Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g., "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. Output ONLY the HTML fragment — no /, no markdown code fences.
We need to parse the posting content.
Let's extract sections:
Intro: "NVIDIA has been transforming computer graphics... Come join the team and see how you can make a lasting impact on the world." This is general company description, could be "About the role"? Actually "About the role" heading is for description of role. The intro is more about NVIDIA and the team. Could be "About the role" or maybe we can combine into a paragraph under "About the role". The posting then says: "The NVIDIA Experience (NVEX) Solutions Engineering team seeks a solution engineer with experience in customer support of NVIDIA’s GPU accelerated platforms including DGX, HGX and MGX! You will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must demonstrate outstanding analytical thinking and possess strong interpersonal abilities to contribute to multiple projects and tasks. You will be working directly with customers to get them solutions on the latest NVIDIA platforms including the GB200 and GB300. We are looking for an experienced engineer to triage customers' hardware platform issues and AI/ML workloads in huge datacenters of rack-scale platforms, solve customer problems, and contribute to products and software tooling. You must have excellent problem-solving abilities, communication skills and be able to handle various assignments and responsibilities. You must be technically strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools."
Then "What You'll Be Doing" bullet list: Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues. Work with engineering teams on customer issues, providing logs, reproduction, and other triage information. Apply AI to create/update products and/or support tools. Take ownership and drive customer issues from inception to resolution. Document customer interactions to better enhance our knowledge base. Apply agentic AI skills to solving customer issues and software development. Occasional work on weekends and holidays to support customers.
Then "What We Need To See" list: Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience. 5+ years of engineering experience with multi-GPU platforms Strong system software (firmware, BIOS, kernel, driver, operating system) expertise Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads. Containerized solutions experience with Docker, Kubernetes, and/or Slurm Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations. Excellent follow-up and organizational skills, with a passion or love for solving problems. Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers Proficient in Python programming with the ability to build custom tools
Then "Ways To Stand Out From The Crowd": Background with parallel programming or GPU acceleration (e.g., CUDA) Experience developing in GPU accelerated / cloud / virtualized environments Experience analyzing software efficiency of distributed workloads Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI)
Then "Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits."
Then "Applications for this job will be accepted at least until September 24, 2026." That's application instruction - we should remove application instructions.
Then "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." That's EEO boilerplate - remove.
Then ", , JR2025971" - job ID - drop.
Thus we have content for sections: About the role (intro + maybe description), Responsibilities (What You'll Be Doing), Requirements/Qualifications (What We Need To See), Skills (Ways To Stand Out), Benefits (benefits package mention), Pay (salary ranges). Schedule? There's occasional work on weekends and holidays mentioned under responsibilities; we could include schedule info under Responsibilities or maybe a Schedule section if we have explicit schedule info. The posting mentions "Occasional work on weekends and holidays to support customers." That's schedule info. Could be placed under Responsibilities as a bullet, or we could create a Schedule section. The instruction: Prefer a few substantive sections over many thin ones. So maybe we keep schedule info within Responsibilities bullet list.
We need to decide sections: About the role (intro + role description), Responsibilities (What You'll Be Doing), Requirements (What We Need To See), Skills (Ways To Stand Out), Benefits (benefits package), Pay (salary range). That seems substantive.
We must not create sections with filler. All have content.
We must not repeat job title as heading. Not needed.
We must not include Job ID.
We must use
for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
Thus each section:
About the role
then ... prose ...
. If there are lists inside, we can use - .
We need to preserve all substantive information. Let's extract the prose for About the role: The initial paragraphs about NVIDIA, the team, the role description before "What You'll Be Doing". Let's capture:
"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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. The NVIDIA Experience (NVEX) Solutions Engineering team seeks a solution engineer with experience in customer support of NVIDIA’s GPU accelerated platforms including DGX, HGX and MGX! You will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must demonstrate outstanding analytical thinking and possess strong interpersonal abilities to contribute to multiple projects and tasks. You will be working directly with customers to get them solutions on the latest NVIDIA platforms including the GB200 and GB300. We are looking for an experienced engineer to triage customers' hardware platform issues and AI/ML workloads in huge datacenters of rack-scale platforms, solve customer problems, and contribute to products and software tooling. You must have excellent problem-solving abilities, communication skills and be able to handle various assignments and responsibilities. You must be technically strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools."
That is a big paragraph. Could be split but it's okay as
.
Now Responsibilities: bullet list from "What You'll Be Doing". Let's list each:
- Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues.
- Work with engineering teams on customer issues, providing logs, reproduction, and other triage information.
- Apply AI to create/update products and/or support tools.
- Take ownership and drive customer issues from inception to resolution.
- Document customer interactions to better enhance our knowledge base.
- Apply agentic AI skills to solving customer issues and software development.
- Occasional work on weekends and holidays to support customers.
We'll put these in
- .
Now Requirements: "What We Need To See" list. Items:
- Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience.
- 5+ years of engineering experience with multi-GPU platforms
- Strong system software (firmware, BIOS, kernel, driver, operating system) expertise
- Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
- Containerized solutions experience with Docker, Kubernetes, and/or Slurm
- Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations.
- Excellent follow-up and organizational skills, with a passion or love for solving problems.
- Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers
- Proficient in Python programming with the ability to build custom tools
We'll put as
- .
Now Skills: "Ways To Stand Out From The Crowd" list:
- Background with parallel programming or GPU acceleration (e.g., CUDA)
- Experience developing in GPU accelerated / cloud / virtualized environments
- Experience analyzing software efficiency of distributed workloads
- Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI)
We'll put as
- .
Now Benefits: The paragraph about benefits: "Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 27
for prose. Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g., "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. Output ONLY the HTML fragment — no /, no markdown code fences. We need to parse the posting content. Let's extract sections: Intro: "NVIDIA has been transforming computer graphics... Come join the team and see how you can make a lasting impact on the world." This is general company description, could be "About the role"? Actually "About the role" heading is for description of role. The intro is more about NVIDIA and the team. Could be "About the role" or maybe we can combine into a paragraph under "About the role". The posting then says: "The NVIDIA Experience (NVEX) Solutions Engineering team seeks a solution engineer with experience in customer support of NVIDIA’s GPU accelerated platforms including DGX, HGX and MGX! You will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must demonstrate outstanding analytical thinking and possess strong interpersonal abilities to contribute to multiple projects and tasks. You will be working directly with customers to get them solutions on the latest NVIDIA platforms including the GB200 and GB300. We are looking for an experienced engineer to triage customers' hardware platform issues and AI/ML workloads in huge datacenters of rack-scale platforms, solve customer problems, and contribute to products and software tooling. You must have excellent problem-solving abilities, communication skills and be able to handle various assignments and responsibilities. You must be technically strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools." Then "What You'll Be Doing" bullet list: Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues. Work with engineering teams on customer issues, providing logs, reproduction, and other triage information. Apply AI to create/update products and/or support tools. Take ownership and drive customer issues from inception to resolution. Document customer interactions to better enhance our knowledge base. Apply agentic AI skills to solving customer issues and software development. Occasional work on weekends and holidays to support customers. Then "What We Need To See" list: Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience. 5+ years of engineering experience with multi-GPU platforms Strong system software (firmware, BIOS, kernel, driver, operating system) expertise Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads. Containerized solutions experience with Docker, Kubernetes, and/or Slurm Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations. Excellent follow-up and organizational skills, with a passion or love for solving problems. Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers Proficient in Python programming with the ability to build custom tools Then "Ways To Stand Out From The Crowd": Background with parallel programming or GPU acceleration (e.g., CUDA) Experience developing in GPU accelerated / cloud / virtualized environments Experience analyzing software efficiency of distributed workloads Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI) Then "Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits." Then "Applications for this job will be accepted at least until September 24, 2026." That's application instruction - we should remove application instructions. Then "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." That's EEO boilerplate - remove. Then ", , JR2025971" - job ID - drop. Thus we have content for sections: About the role (intro + maybe description), Responsibilities (What You'll Be Doing), Requirements/Qualifications (What We Need To See), Skills (Ways To Stand Out), Benefits (benefits package mention), Pay (salary ranges). Schedule? There's occasional work on weekends and holidays mentioned under responsibilities; we could include schedule info under Responsibilities or maybe a Schedule section if we have explicit schedule info. The posting mentions "Occasional work on weekends and holidays to support customers." That's schedule info. Could be placed under Responsibilities as a bullet, or we could create a Schedule section. The instruction: Prefer a few substantive sections over many thin ones. So maybe we keep schedule info within Responsibilities bullet list. We need to decide sections: About the role (intro + role description), Responsibilities (What You'll Be Doing), Requirements (What We Need To See), Skills (Ways To Stand Out), Benefits (benefits package), Pay (salary range). That seems substantive. We must not create sections with filler. All have content. We must not repeat job title as heading. Not needed. We must not include Job ID. We must use
for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
Thus each section:
About the role
then ... prose ...
. If there are lists inside, we can use - .
We need to preserve all substantive information. Let's extract the prose for About the role: The initial paragraphs about NVIDIA, the team, the role description before "What You'll Be Doing". Let's capture:
"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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. The NVIDIA Experience (NVEX) Solutions Engineering team seeks a solution engineer with experience in customer support of NVIDIA’s GPU accelerated platforms including DGX, HGX and MGX! You will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must demonstrate outstanding analytical thinking and possess strong interpersonal abilities to contribute to multiple projects and tasks. You will be working directly with customers to get them solutions on the latest NVIDIA platforms including the GB200 and GB300. We are looking for an experienced engineer to triage customers' hardware platform issues and AI/ML workloads in huge datacenters of rack-scale platforms, solve customer problems, and contribute to products and software tooling. You must have excellent problem-solving abilities, communication skills and be able to handle various assignments and responsibilities. You must be technically strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools."
That is a big paragraph. Could be split but it's okay as
.
Now Responsibilities: bullet list from "What You'll Be Doing". Let's list each:
- Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues.
- Work with engineering teams on customer issues, providing logs, reproduction, and other triage information.
- Apply AI to create/update products and/or support tools.
- Take ownership and drive customer issues from inception to resolution.
- Document customer interactions to better enhance our knowledge base.
- Apply agentic AI skills to solving customer issues and software development.
- Occasional work on weekends and holidays to support customers.
We'll put these in
- .
Now Requirements: "What We Need To See" list. Items:
- Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience.
- 5+ years of engineering experience with multi-GPU platforms
- Strong system software (firmware, BIOS, kernel, driver, operating system) expertise
- Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
- Containerized solutions experience with Docker, Kubernetes, and/or Slurm
- Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations.
- Excellent follow-up and organizational skills, with a passion or love for solving problems.
- Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers
- Proficient in Python programming with the ability to build custom tools
We'll put as
- .
Now Skills: "Ways To Stand Out From The Crowd" list:
- Background with parallel programming or GPU acceleration (e.g., CUDA)
- Experience developing in GPU accelerated / cloud / virtualized environments
- Experience analyzing software efficiency of distributed workloads
- Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI)
We'll put as
- .
Now Benefits: The paragraph about benefits: "Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 27
for prose. Thus each section:
About the role
then... prose ...
. If there are lists inside, we can use- .
We need to preserve all substantive information. Let's extract the prose for About the role: The initial paragraphs about NVIDIA, the team, the role description before "What You'll Be Doing". Let's capture:
"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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. The NVIDIA Experience (NVEX) Solutions Engineering team seeks a solution engineer with experience in customer support of NVIDIA’s GPU accelerated platforms including DGX, HGX and MGX! You will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must demonstrate outstanding analytical thinking and possess strong interpersonal abilities to contribute to multiple projects and tasks. You will be working directly with customers to get them solutions on the latest NVIDIA platforms including the GB200 and GB300. We are looking for an experienced engineer to triage customers' hardware platform issues and AI/ML workloads in huge datacenters of rack-scale platforms, solve customer problems, and contribute to products and software tooling. You must have excellent problem-solving abilities, communication skills and be able to handle various assignments and responsibilities. You must be technically strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools."
That is a big paragraph. Could be split but it's okay as
. Now Responsibilities: bullet list from "What You'll Be Doing". Let's list each: - Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues. - Work with engineering teams on customer issues, providing logs, reproduction, and other triage information. - Apply AI to create/update products and/or support tools. - Take ownership and drive customer issues from inception to resolution. - Document customer interactions to better enhance our knowledge base. - Apply agentic AI skills to solving customer issues and software development. - Occasional work on weekends and holidays to support customers. We'll put these in
- .
Now Requirements: "What We Need To See" list. Items:
- Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience.
- 5+ years of engineering experience with multi-GPU platforms
- Strong system software (firmware, BIOS, kernel, driver, operating system) expertise
- Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
- Containerized solutions experience with Docker, Kubernetes, and/or Slurm
- Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations.
- Excellent follow-up and organizational skills, with a passion or love for solving problems.
- Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers
- Proficient in Python programming with the ability to build custom tools
We'll put as
- .
Now Skills: "Ways To Stand Out From The Crowd" list:
- Background with parallel programming or GPU acceleration (e.g., CUDA)
- Experience developing in GPU accelerated / cloud / virtualized environments
- Experience analyzing software efficiency of distributed workloads
- Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI)
We'll put as
- . Now Benefits: The paragraph about benefits: "Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 27
- .
Now Skills: "Ways To Stand Out From The Crowd" list:
- Background with parallel programming or GPU acceleration (e.g., CUDA)
- Experience developing in GPU accelerated / cloud / virtualized environments
- Experience analyzing software efficiency of distributed workloads
- Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI)
We'll put as
- .
Now Requirements: "What We Need To See" list. Items:
- Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience.
- 5+ years of engineering experience with multi-GPU platforms
- Strong system software (firmware, BIOS, kernel, driver, operating system) expertise
- Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
- Containerized solutions experience with Docker, Kubernetes, and/or Slurm
- Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations.
- Excellent follow-up and organizational skills, with a passion or love for solving problems.
- Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers
- Proficient in Python programming with the ability to build custom tools
We'll put as