AI Infrastructure and Advanced Computing Scientist (Scientist 3/4)
for each heading. Use - for lists. Use
for prose. Do not repeat job title. Do not include Job ID etc. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Preserve all substantive info.
We need to parse the posting.
Key sections:
- "What You Will Do": description of role, bullet list after "You will:" with items.
- "This position may be filled at either the Scientist 3 or Scientist 4 level..." includes pay ranges.
- "What You Need": Minimum Job Requirements (list), Additional Job Requirements for Scientist 4, Education/Experience, Desired Qualifications.
- "Work Location: The work location for this position is onsite and located in Los Alamos, NM." Also "Position commitment: Regular appointment employees are required to serve a period of continuous service... The position commitment for this position is 1 year."
- "Note to Applicants: Please submit a résumé or CV and a cover letter..." This is application instructions; we should remove.
- "Due to federal restrictions..." is legal/EEO? It's about citizenship restrictions; might be considered boilerplate? It's substantive? It's a restriction; but it's likely considered legal/EEO? The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. This is a legal restriction about citizenship; might be considered legal boilerplate. Probably remove.
- "Where You Will Work": description of LANL and benefits list.
- "Additional Details": Directive 206.2 etc. That's legal; remove.
- "Clearance: Q (Position will be cleared to this level)." This is substantive? It's about clearance requirement. Might be considered legal but it's a job requirement. Probably keep as part of Requirements? It's a requirement: Q clearance, US citizenship. Might be considered legal but it's a requirement. The instruction says remove legal/EEO/equal-opportunity/scam-warning boilerplate. This is about clearance; might be considered legal but it's a specific job requirement. I'd keep it as part of Requirements.
- "New-Employment Drug Test:" etc. That's legal/substance policy; maybe remove as boilerplate.
- "Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status." etc. That's procedural; maybe remove.
- "Internal Applicants:" etc. Remove.
- "Please refer to Policy Policy P701 for applicant eligibility requirements." Remove.
- "Equal Opportunity:" etc. Remove.
- "To request such an accommodation..." Remove.
Thus we keep: What You Will Do (responsibilities), What You Need (minimum requirements, additional for Scientist 4, education/experience, desired qualifications), Work Location (onsite Los Alamos, NM), Position commitment (1 year), Benefits list, Pay ranges (Scientist 3 and Scientist 4), maybe Schedule? Not mentioned besides flexible schedules in benefits. Could include Schedule under Benefits? The instruction: include a section ONLY when posting has real, specific content for it. Benefits we have. Pay we have. Schedule not explicitly given; only "Flexible schedules and time off (PTO and holidays)" under benefits. So we could include Schedule as part of Benefits or separate? Probably not separate.
We need to decide sections: About the role (maybe we can use "About the role" heading for the introductory paragraph). Responsibilities (the bullet list). Requirements (minimum job requirements). Qualifications (maybe education/experience and desired qualifications). Skills (maybe we can combine desired qualifications). Benefits. Pay. (Schedule omitted). Could also include Work Location as part of About the role or separate? Could be a short paragraph under About the role.
We must not repeat job title. Use
for each section heading.
We need to preserve all substantive info: responsibilities bullet points, minimum requirements bullet points, additional for Scientist 4 bullet points, education/experience, desired qualifications bullet points, work location, position commitment, benefits list, pay ranges.
Let's extract.
Responsibilities bullet points (after "You will:"):
- Lead the integration and evaluation of emerging computing architectures, accelerators, and software stacks for scientific simulation, data analysis, and AI.
- Architect and mature AI services that span model serving, retrieval and agentic workflows, GPU resources, orchestration, observability, and on-premises or cloud environments.
- Develop reproducible experiments and benchmarks to assess performance, scalability, reliability, usability, cost, and mission suitability.
- Partner with researchers, computing operations, cybersecurity organizations, and vendors to define requirements, resolve technical risks, and move prototypes into reliable use.
- Strengthen applied-AI delivery through technical consultation, project triage, reusable components, documentation, training, mentoring, and effective handoff to mission teams.
Minimum Job Requirements bullet points (under "Technical expertise:" etc):
- Technical expertise: Advanced knowledge in one or more relevant areas, such as AI/ML systems, high-performance computing, computer architecture, distributed systems, accelerated computing, cloud-native platforms, or scientific software infrastructure.
- Systems development and integration: Demonstrated experience developing, integrating, or evaluating complex computing systems in Linux environments, including multiple layers such as compute, storage, networking, containers, orchestration, schedulers, model runtimes, data services, or monitoring.
- Experimental evaluation: Experience designing reproducible computational experiments, analyzing performance or system behavior, and using results to guide architecture or technology decisions.
- Technical leadership: Demonstrated ability to lead complex technical projects, establish scope and priorities, coordinate multidisciplinary contributors, manage risks, and deliver results; experience mentoring staff or students.
- Collaboration and communication: Ability to work effectively across research, operational, security, and program organizations and communicate technical findings, tradeoffs, and recommendations through clear writing and presentations.
Additional Job Requirements For Scientist 4 bullet points:
- Institutional impact: Significant technical achievements that have advanced AI, computing, research, or mission capabilities at a Laboratory-wide or comparable institutional scale.
- Technical strategy: Demonstrated experience establishing architectures, standards, roadmaps, or investment direction for complex computing capabilities.
- Cross-organizational leadership: Success leading large, multidisciplinary, high-risk efforts and serving as an authority for consequential technical decisions.
- Capability development: Demonstrated success building teams, funded programs, or strategic partnerships and advising senior organizational or government leaders.
Education/Experience:
- Scientist 3: A master's degree in a relevant STEM discipline from an accredited institution and six years of relevant experience, or an equivalent combination of directly applicable education and experience.
- Scientist 4: A master's degree in a relevant STEM discipline from an accredited institution and twelve years of relevant experience, or an equivalent combination of directly applicable education and experience.
Desired Qualifications bullet points:
- Experience with GPUs or other accelerators, heterogeneous computing, parallel programming, performance analysis, or AI frameworks.
- Experience with Kubernetes or OpenShift, containers, HPC workload managers, DevOps practices, and hybrid cloud/HPC environments.
- Experience with large-language-model inference, AI gateways, retrieval-augmented generation, vector databases, document intelligence, agentic systems, or AI-assisted software development.
- Experience establishing shared research-computing or AI services, supporting users, and coordinating cybersecurity, authorization, data-governance, or access requirements.
- Experience developing proposals, working with technology vendors or external collaborators, and translating evaluation results into technical plans or investments.
- Ph.D. in computer science, computational science, data science, applied mathematics, engineering, or a related field.
Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
Benefits list (under "Our generous benefits package includes:"):
- PPO or High Deductible medical insurance with the same large nationwide network
- Dental and vision insurance
- Free basic life and disability insurance
- Paid childbirth and parental leave
- Award-winning 401(k) (6% matching plus 3.5% annually)
- Learning opportunities and tuition assistance
- Flexible schedules and time off (PTO and holidays)
- Onsite gyms and wellness programs
- Extensive relocation packages (outside a 50 mile radius)
Pay:
- Scientist 3 - $128,000-$215,900
- Scientist 4 - $153,600-$266,500
Schedule: Not explicit; flexible schedules mentioned under benefits. Could include Schedule section referencing flexible schedules? Might be redundant. Probably omit Schedule.
Now construct HTML.
We'll have sections:
About the role
Help shape the AI and advanced-computing capabilities that enable scientific discovery and national-security missions. The Applied Computer Science Group (CAI-1) is seeking a Scientist 3/4 to provide technical leadership across emerging-computing testbeds, institutional AI infrastructure, and applied-AI projects. In this role, you will combine hands-on technical work with cross-organizational leadership. You will evaluate new computing technologies, develop secure and scalable AI services, and help Laboratory teams turn promising AI concepts into useful, sustainable capabilities.
Then Responsibilities:
Responsibilities
- Lead the integration and evaluation of emerging computing architectures, accelerators, and software stacks for scientific simulation, data analysis, and AI.
- Architect and mature AI services that span model serving, retrieval and agentic workflows, GPU resources, orchestration, observability, and on-premises or cloud environments.
- Develop reproducible experiments and benchmarks to assess performance, scalability, reliability, usability, cost, and mission suitability.
- Partner with researchers, computing operations, cybersecurity organizations, and vendors to define requirements, resolve technical risks, and move prototypes into reliable use.
- Strengthen applied-AI delivery through technical consultation, project triage, reusable components, documentation, training, mentoring, and effective handoff to mission teams.
Then Requirements (minimum):
Requirements
- Technical expertise: Advanced knowledge in one or more relevant areas, such as AI/ML systems, high-performance computing, computer architecture, distributed systems, accelerated computing, cloud-native platforms, or scientific software infrastructure.
- Systems development and integration: Demonstrated experience developing, integrating, or evaluating complex computing systems in Linux environments, including multiple layers such as compute, storage, networking, containers, orchestration, schedulers, model runtimes, data services, or monitoring.
- Experimental evaluation: Experience designing reproducible computational experiments, analyzing performance or system behavior, and using results to guide architecture or technology decisions.
- Technical leadership: Demonstrated ability to lead complex technical projects, establish scope and priorities, coordinate multidisciplinary contributors, manage risks, and deliver results; experience mentoring staff or students.
- Collaboration and communication: Ability to work effectively across research, operational, security, and program organizations and communicate technical findings, tradeoffs, and recommendations through clear writing and presentations.
Then Additional Requirements for Scientist 4 maybe under Qualifications? Could be part of Requirements or separate Qualifications. Let's make a Qualifications section for Scientist 4 additional and education/experience and desired qualifications.
Qualifications
We could split: Education/Experience, Desired Qualifications, Additional Scientist 4 requirements.
But we need to avoid too many thin sections. Could combine Education/Experience and Desired Qualifications under Qualifications, and have a separate subsection for Scientist 4 additional? Might be okay to have multiple subheadings inside? But only allowed for
for prose. Do not repeat job title. Do not include Job ID etc. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Preserve all substantive info. We need to parse the posting. Key sections: - "What You Will Do": description of role, bullet list after "You will:" with items. - "This position may be filled at either the Scientist 3 or Scientist 4 level..." includes pay ranges. - "What You Need": Minimum Job Requirements (list), Additional Job Requirements for Scientist 4, Education/Experience, Desired Qualifications. - "Work Location: The work location for this position is onsite and located in Los Alamos, NM." Also "Position commitment: Regular appointment employees are required to serve a period of continuous service... The position commitment for this position is 1 year." - "Note to Applicants: Please submit a résumé or CV and a cover letter..." This is application instructions; we should remove. - "Due to federal restrictions..." is legal/EEO? It's about citizenship restrictions; might be considered boilerplate? It's substantive? It's a restriction; but it's likely considered legal/EEO? The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. This is a legal restriction about citizenship; might be considered legal boilerplate. Probably remove. - "Where You Will Work": description of LANL and benefits list. - "Additional Details": Directive 206.2 etc. That's legal; remove. - "Clearance: Q (Position will be cleared to this level)." This is substantive? It's about clearance requirement. Might be considered legal but it's a job requirement. Probably keep as part of Requirements? It's a requirement: Q clearance, US citizenship. Might be considered legal but it's a requirement. The instruction says remove legal/EEO/equal-opportunity/scam-warning boilerplate. This is about clearance; might be considered legal but it's a specific job requirement. I'd keep it as part of Requirements. - "New-Employment Drug Test:" etc. That's legal/substance policy; maybe remove as boilerplate. - "Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status." etc. That's procedural; maybe remove. - "Internal Applicants:" etc. Remove. - "Please refer to Policy Policy P701 for applicant eligibility requirements." Remove. - "Equal Opportunity:" etc. Remove. - "To request such an accommodation..." Remove. Thus we keep: What You Will Do (responsibilities), What You Need (minimum requirements, additional for Scientist 4, education/experience, desired qualifications), Work Location (onsite Los Alamos, NM), Position commitment (1 year), Benefits list, Pay ranges (Scientist 3 and Scientist 4), maybe Schedule? Not mentioned besides flexible schedules in benefits. Could include Schedule under Benefits? The instruction: include a section ONLY when posting has real, specific content for it. Benefits we have. Pay we have. Schedule not explicitly given; only "Flexible schedules and time off (PTO and holidays)" under benefits. So we could include Schedule as part of Benefits or separate? Probably not separate. We need to decide sections: About the role (maybe we can use "About the role" heading for the introductory paragraph). Responsibilities (the bullet list). Requirements (minimum job requirements). Qualifications (maybe education/experience and desired qualifications). Skills (maybe we can combine desired qualifications). Benefits. Pay. (Schedule omitted). Could also include Work Location as part of About the role or separate? Could be a short paragraph under About the role. We must not repeat job title. Use
for each section heading.
We need to preserve all substantive info: responsibilities bullet points, minimum requirements bullet points, additional for Scientist 4 bullet points, education/experience, desired qualifications bullet points, work location, position commitment, benefits list, pay ranges.
Let's extract.
Responsibilities bullet points (after "You will:"):
- Lead the integration and evaluation of emerging computing architectures, accelerators, and software stacks for scientific simulation, data analysis, and AI.
- Architect and mature AI services that span model serving, retrieval and agentic workflows, GPU resources, orchestration, observability, and on-premises or cloud environments.
- Develop reproducible experiments and benchmarks to assess performance, scalability, reliability, usability, cost, and mission suitability.
- Partner with researchers, computing operations, cybersecurity organizations, and vendors to define requirements, resolve technical risks, and move prototypes into reliable use.
- Strengthen applied-AI delivery through technical consultation, project triage, reusable components, documentation, training, mentoring, and effective handoff to mission teams.
Minimum Job Requirements bullet points (under "Technical expertise:" etc):
- Technical expertise: Advanced knowledge in one or more relevant areas, such as AI/ML systems, high-performance computing, computer architecture, distributed systems, accelerated computing, cloud-native platforms, or scientific software infrastructure.
- Systems development and integration: Demonstrated experience developing, integrating, or evaluating complex computing systems in Linux environments, including multiple layers such as compute, storage, networking, containers, orchestration, schedulers, model runtimes, data services, or monitoring.
- Experimental evaluation: Experience designing reproducible computational experiments, analyzing performance or system behavior, and using results to guide architecture or technology decisions.
- Technical leadership: Demonstrated ability to lead complex technical projects, establish scope and priorities, coordinate multidisciplinary contributors, manage risks, and deliver results; experience mentoring staff or students.
- Collaboration and communication: Ability to work effectively across research, operational, security, and program organizations and communicate technical findings, tradeoffs, and recommendations through clear writing and presentations.
Additional Job Requirements For Scientist 4 bullet points:
- Institutional impact: Significant technical achievements that have advanced AI, computing, research, or mission capabilities at a Laboratory-wide or comparable institutional scale.
- Technical strategy: Demonstrated experience establishing architectures, standards, roadmaps, or investment direction for complex computing capabilities.
- Cross-organizational leadership: Success leading large, multidisciplinary, high-risk efforts and serving as an authority for consequential technical decisions.
- Capability development: Demonstrated success building teams, funded programs, or strategic partnerships and advising senior organizational or government leaders.
Education/Experience:
- Scientist 3: A master's degree in a relevant STEM discipline from an accredited institution and six years of relevant experience, or an equivalent combination of directly applicable education and experience.
- Scientist 4: A master's degree in a relevant STEM discipline from an accredited institution and twelve years of relevant experience, or an equivalent combination of directly applicable education and experience.
Desired Qualifications bullet points:
- Experience with GPUs or other accelerators, heterogeneous computing, parallel programming, performance analysis, or AI frameworks.
- Experience with Kubernetes or OpenShift, containers, HPC workload managers, DevOps practices, and hybrid cloud/HPC environments.
- Experience with large-language-model inference, AI gateways, retrieval-augmented generation, vector databases, document intelligence, agentic systems, or AI-assisted software development.
- Experience establishing shared research-computing or AI services, supporting users, and coordinating cybersecurity, authorization, data-governance, or access requirements.
- Experience developing proposals, working with technology vendors or external collaborators, and translating evaluation results into technical plans or investments.
- Ph.D. in computer science, computational science, data science, applied mathematics, engineering, or a related field.
Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
Benefits list (under "Our generous benefits package includes:"):
- PPO or High Deductible medical insurance with the same large nationwide network
- Dental and vision insurance
- Free basic life and disability insurance
- Paid childbirth and parental leave
- Award-winning 401(k) (6% matching plus 3.5% annually)
- Learning opportunities and tuition assistance
- Flexible schedules and time off (PTO and holidays)
- Onsite gyms and wellness programs
- Extensive relocation packages (outside a 50 mile radius)
Pay:
- Scientist 3 - $128,000-$215,900
- Scientist 4 - $153,600-$266,500
Schedule: Not explicit; flexible schedules mentioned under benefits. Could include Schedule section referencing flexible schedules? Might be redundant. Probably omit Schedule.
Now construct HTML.
We'll have sections:
About the role
Help shape the AI and advanced-computing capabilities that enable scientific discovery and national-security missions. The Applied Computer Science Group (CAI-1) is seeking a Scientist 3/4 to provide technical leadership across emerging-computing testbeds, institutional AI infrastructure, and applied-AI projects. In this role, you will combine hands-on technical work with cross-organizational leadership. You will evaluate new computing technologies, develop secure and scalable AI services, and help Laboratory teams turn promising AI concepts into useful, sustainable capabilities.
Then Responsibilities:Responsibilities
- Lead the integration and evaluation of emerging computing architectures, accelerators, and software stacks for scientific simulation, data analysis, and AI.
- Architect and mature AI services that span model serving, retrieval and agentic workflows, GPU resources, orchestration, observability, and on-premises or cloud environments.
- Develop reproducible experiments and benchmarks to assess performance, scalability, reliability, usability, cost, and mission suitability.
- Partner with researchers, computing operations, cybersecurity organizations, and vendors to define requirements, resolve technical risks, and move prototypes into reliable use.
- Strengthen applied-AI delivery through technical consultation, project triage, reusable components, documentation, training, mentoring, and effective handoff to mission teams.
Requirements
- Technical expertise: Advanced knowledge in one or more relevant areas, such as AI/ML systems, high-performance computing, computer architecture, distributed systems, accelerated computing, cloud-native platforms, or scientific software infrastructure.
- Systems development and integration: Demonstrated experience developing, integrating, or evaluating complex computing systems in Linux environments, including multiple layers such as compute, storage, networking, containers, orchestration, schedulers, model runtimes, data services, or monitoring.
- Experimental evaluation: Experience designing reproducible computational experiments, analyzing performance or system behavior, and using results to guide architecture or technology decisions.
- Technical leadership: Demonstrated ability to lead complex technical projects, establish scope and priorities, coordinate multidisciplinary contributors, manage risks, and deliver results; experience mentoring staff or students.
- Collaboration and communication: Ability to work effectively across research, operational, security, and program organizations and communicate technical findings, tradeoffs, and recommendations through clear writing and presentations.