bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesLlnlDesign Optimization Engineer - Postdoctoral Researcher

Design Optimization Engineer - Postdoctoral Researcher

Llnl · Livermore, CA, United States · Hybrid · Active · $122,028–$143,328 / week · SmartRecruiters

Job facts

FieldValue
CompanyLlnl
TitleDesign Optimization Engineer - Postdoctoral Researcher
Normalized title-
Department / teamScience
LocationLivermore, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$122,028–$143,328 / week
Statusactive
ATS providerSmartRecruiters
Posted / first seen2026-05-14 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Llnl.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Livermore.Open
Department jobsActive postings in Science.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyLlnl
Source1df6cd9d-2e0a-424c-a75d-264a08f3be51
ATS providerSmartRecruiters

Description

Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have an opening for a Design Optimization Engineer - Postdoctoral Researcher to conduct basic and applied research in the optimization, simulation, and design of physical and engineered systems. You will work both collaboratively and independently to extend and develop physics-based design optimization tools. Our team is working to advance the state-of-the-art in support of Laboratory missions. This position is in the Computational Engineering Division (CED), within the Engineering Directorate. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week. You will Develop and implement high-performance computing (HPC) algorithms for the simulation and design optimization of systems governed by nonlinear, transient, multiscale and multiple physical phenomena, including uncertainties in geometry and material properties. Contribute to identifying and solving challenging design optimization problems with gradient-based optimization approaches. Develop continuum models and implement them in our HPC numerical analysis software to solve the governing partial differential equations of the physical system, to predict design responses of interest. Demonstrate our design optimization capabilities and establish credibility with mission customers. Document research findings through presentations and peer-reviewed journal articles and contribute to identifying future research directions and proposals that will provide opportunities in the field. Collaborate with multidisciplinary teams to integrate design optimization tools with other simulation and analysis frameworks. Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory. Stay current with technological advancements by updating and enhancing your knowledge of the latest HPC algorithms, simulation techniques, and design optimization methods. Perform other duties as assigned. Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship. PhD in Engineering, Mathematics, Computational Science, or a related field. Experience developing custom simulation tools using continuum discretization approaches (e.g., finite elements) for physical systems. Proficiency in programming languages such as C/C++/FORTRAN and scripting languages including Python. Fundamental knowledge of HPC and one or more associated parallel programming interfaces, such as MPI, OpenMP, or CUDA. Ability to perform independent research. Proficient verbal and written communication skills needed to effectively collaborate in a team environment, to present and explain technical information, to document work, and to prepare and present successful proposals and high-quality research papers. Qualifications We Desire Experience in design sensitivity analysis via direct (forward) and adjoint (backward) methods, shape/topology optimization and other design optimization techniques; familiarity with machine learning and data science techniques. Experience simulating and designing systems that involve complex nonlinear, transient, multiphysics models; proficient in nonlinear solvers, and linear algebra concepts for solving challenging linear systems. Experience working in a collaborative software development environment, including experience with version control systems, such as Git. Adept at tackling complex technical challenges with a logical and analytical approach, working effectively with experts from various fields, and promoting an inclusive and diverse work environment. Pay Range $122,028 - $143,328 Annually This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. #LI-Hybrid Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. Why Lawrence Livermore National Laboratory? Included in 2026 Best Places to Work by Glassdoor! Flexible  Benefits Package 401(k) Relocation Assistance Education Reimbursement Program Flexible schedules (*depending on project needs) Our values - visit  https://www.llnl.gov/inclusion/our-values Security Clearance This position requires a Department of Energy (DOE) Q-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams:  https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .

Full job record

Job IDe6b16d203d4b4c2205f24e30184ffa679921ac68
Org IDede835e9-7877-4118-b9da-1ad1bba84e87
Source ID1df6cd9d-2e0a-424c-a75d-264a08f3be51
Board ID1df6cd9d-2e0a-424c-a75d-264a08f3be51
Providersmartrecruiters
Provider Job Key3743990013125026
TitleDesign Optimization Engineer - Postdoctoral Researcher
Normalized Title
Statusactive
Activeyes
Location TextLivermore, CA, United States
DepartmentScience
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CityLivermore
Salary RawJoin us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have an opening for a Design Optimization Engineer - Postdoctoral Researcher to conduct basic and applied research in the optimization, simulation, and design of physical and engineered systems. You will work both collaboratively and independently to extend and develop physics-based design optimization tools. Our team is working to advance the state-of-the-art in support of Laboratory missions. This position is in the Computational Engineering Division (CED), within the Engineering Directorate. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week. You will Develop and implement high-performance computing (HPC) algorithms for the simulation and design optimization of systems governed by nonlinear, transient, multiscale and multiple physical phenomena, including uncertainties in geometry and material properties. Contribute to identifying and solving challenging design optimization problems with gradient-based optimization approaches. Develop continuum models and implement them in our HPC numerical analysis software to solve the governing partial differential equations of the physical system, to predict design responses of interest. Demonstrate our design optimization capabilities and establish credibility with mission customers. Document research findings through presentations and peer-reviewed journal articles and contribute to identifying future research directions and proposals that will provide opportunities in the field. Collaborate with multidisciplinary teams to integrate design optimization tools with other simulation and analysis frameworks. Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory. Stay current with technological advancements by updating and enhancing your knowledge of the latest HPC algorithms, simulation techniques, and design optimization methods. Perform other duties as assigned. Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship. PhD in Engineering, Mathematics, Computational Science, or a related field. Experience developing custom simulation tools using continuum discretization approaches (e.g., finite elements) for physical systems. Proficiency in programming languages such as C/C++/FORTRAN and scripting languages including Python. Fundamental knowledge of HPC and one or more associated parallel programming interfaces, such as MPI, OpenMP, or CUDA. Ability to perform independent research. Proficient verbal and written communication skills needed to effectively collaborate in a team environment, to present and explain technical information, to document work, and to prepare and present successful proposals and high-quality research papers. Qualifications We Desire Experience in design sensitivity analysis via direct (forward) and adjoint (backward) methods, shape/topology optimization and other design optimization techniques; familiarity with machine learning and data science techniques. Experience simulating and designing systems that involve complex nonlinear, transient, multiphysics models; proficient in nonlinear solvers, and linear algebra concepts for solving challenging linear systems. Experience working in a collaborative software development environment, including experience with version control systems, such as Git. Adept at tackling complex technical challenges with a logical and analytical approach, working effectively with experts from various fields, and promoting an inclusive and diverse work environment. Pay Range $122,028 - $143,328 Annually This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. #LI-Hybrid Position Information This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. Why Lawrence Livermore National Laboratory? Included in 2026 Best Places to Work by Glassdoor! Flexible  Benefits Package 401(k) Relocation Assistance Education Reimbursement Program Flexible schedules (*depending on project needs) Our values - visit  https://www.llnl.gov/inclusion/our-values Security Clearance This position requires a Department of Energy (DOE) Q-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams:  https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .
Salary Min122,028
Salary Max143,328
Salary CurrencyUSD
Salary Periodweek
Source URLhttps://jobs.smartrecruiters.com/LLNL/3743990013125026-design-optimization-engineer-postdoctoral-researcher
Apply URLhttps://jobs.smartrecruiters.com/LLNL/3743990013125026-design-optimization-engineer-postdoctoral-researcher?oga=true
First Seen At2026-05-31 17:34:50Z
Last Seen At2026-06-23 10:49:12Z
Last Checked At2026-06-23 10:49:12Z
Last Changed At2026-05-31 17:34:50Z
Inactive At
Source Posted At2026-05-14 01:03:07Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=llnl/date=2026-06-23/2026-06-23T10-49-07-471Z-644839fa71bfa72e42f4c3ecd019a828d42c3bea5208d1dc6573b5018f39df95.json
Event Fields
{
  "content_hash": "8996aa4b9065217e9f47ddae8b5e7e589b5ef9a7890b4ffa5ff0a88c54f36bac",
  "source_hash": "e8a0022e8f8a4157545954a5ff099f733db47471d4db1dfb7546eb9363431e85",
  "last_changed_at": "2026-05-31T17:34:50.312Z",
  "active_status": "active"
}
Parsed Structured
{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": "Livermore, CA, United States",
    "city": "Livermore",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": 143328,
  "salary_min": 122028,
  "inferred_at": "2026-06-23T10:49:12.319Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Livermore, CA, United States",
      "city": "Livermore",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "week",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "id": "3743990013125026",
  "ref": "https://api.smartrecruiters.com/v1/companies/llnl/postings/3743990013125026",
  "name": "Design Optimization Engineer - Postdoctoral Researcher",
  "uuid": "8387a838-b7ec-4dff-a693-f166852719ca",
  "detail": {
    "id": "3743990013125026",
    "name": "Design Optimization Engineer - Postdoctoral Researcher",
    "uuid": "8387a838-b7ec-4dff-a693-f166852719ca",
    "jobAd": {
      "sections": {
        "videos": {
          "urls": [
            "https://www.youtube.com/watch?v=ITnv867DReU"
          ],
          "title": "Videos To Watch"
        },
        "jobDescription": {
          "text": "<p>We have an opening for a<strong> Design Optimization Engineer - Postdoctoral Researcher</strong> to conduct basic and applied research in the optimization, simulation, and design of physical and engineered systems. You will work both collaboratively and independently to extend and develop physics-based design optimization tools. Our team is working to advance the state-of-the-art in support of Laboratory missions. This position is in the Computational Engineering Division (CED), within the Engineering Directorate.</p><p><em>Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.&#xa0;</em></p><p><strong>You will</strong></p><ul><li>Develop and implement high-performance computing (HPC) algorithms for the simulation and design optimization of systems governed by nonlinear, transient, multiscale and multiple physical phenomena, including uncertainties in geometry and material properties.</li><li>Contribute to identifying and solving challenging design optimization problems with gradient-based optimization approaches.</li><li>Develop continuum models and implement them in our HPC numerical analysis software to solve the governing partial differential equations of the physical system, to predict design responses of interest.</li><li>Demonstrate our design optimization capabilities and establish credibility with mission customers.</li><li>Document research findings through presentations and peer-reviewed journal articles and contribute to identifying future research directions and proposals that will provide opportunities in the field.</li><li>Collaborate with multidisciplinary teams to integrate design optimization tools with other simulation and analysis frameworks.</li><li>Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory.</li><li>Stay current with technological advancements by updating and enhancing your knowledge of the latest HPC algorithms, simulation techniques, and design optimization methods.</li><li>Perform other duties as assigned.</li></ul>",
          "title": "Job Description"
        },
        "qualifications": {
          "text": "<ul><li>Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.</li><li>PhD in Engineering, Mathematics, Computational Science, or a related field.</li><li>Experience developing custom simulation tools using continuum discretization approaches (e.g., finite elements) for physical systems.</li><li>Proficiency in programming languages such as C/C++/FORTRAN and scripting languages including Python.</li><li>Fundamental knowledge of HPC and one or more associated parallel programming interfaces, such as MPI, OpenMP, or CUDA.</li><li>Ability to perform independent research.</li><li>Proficient verbal and written communication skills needed to effectively collaborate in a team environment, to present and explain technical information, to document work, and to prepare and present successful proposals and high-quality research papers.</li></ul><p><strong>Qualifications We Desire</strong></p><ul><li>Experience in design sensitivity analysis via direct (forward) and adjoint (backward) methods, shape/topology optimization and other design optimization techniques; familiarity with machine learning and data science techniques.</li><li>Experience simulating and designing systems that involve complex nonlinear, transient, multiphysics models; proficient in nonlinear solvers, and linear algebra concepts for solving challenging linear systems.</li><li>Experience working in a collaborative software development environment, including experience with version control systems, such as Git.</li><li>Adept at tackling complex technical challenges with a logical and analytical approach, working effectively with experts from various fields, and promoting an inclusive and diverse work environment.</li></ul><p><strong>Pay Range</strong></p><p>$122,028 - $143,328 Annually</p><p>This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.&#xa0;An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.</p>",
          "title": "Qualifications"
        },
        "companyDescription": {
          "text": "<p><strong>Join us and make YOUR mark on the World!</strong></p><p>Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.&#xa0;</p><p>Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.</p>",
          "title": "Company Description"
        },
        "additionalInformation": {
          "text": "<p>#LI-Hybrid</p><div sr-tagline=\"\"></div><p><strong>Position Information</strong></p><p>This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.</p>\n<p><strong>Why Lawrence Livermore National Laboratory?</strong></p><ul><li>Included in 2026&#xa0;Best Places to Work by Glassdoor!</li><li>Flexible&#xa0;<a href=\"https://www.llnl.gov/join-our-team/culture/benefits\" rel=\"noopener noreferrer\">Benefits Package</a></li><li>401(k)</li><li>Relocation Assistance</li><li>Education Reimbursement Program</li><li>Flexible schedules (*depending on project needs)</li><li>Our values - visit&#xa0;<a href=\"https://www.llnl.gov/diversity/our-values\" rel=\"noopener noreferrer\">https://www.llnl.gov/inclusion/our-values</a></li></ul>\n<p><strong>Security Clearance</strong></p><p>This position requires a Department of Energy (DOE) Q-level clearance.&#xa0;&#xa0;If you are selected, we&#xa0;will initiate a Federal background investigation to determine if you&#xa0;meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing.&#xa0; Q-level clearance requires U.S. citizenship.&#xa0;</p>\n<p><strong>Pre-Employment Drug Test</strong></p><p>External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.</p>\n<p><strong>Wireless and Medical Devices</strong></p><p>Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use&#xa0;and/or possession of&#xa0;mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where&#xa0;you are not permitted to have a personal and/or laboratory mobile device&#xa0;in your possession.&#xa0; This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.&#xa0;&#xa0;</p><p>If&#xa0;you use&#xa0;a&#xa0;medical device, which&#xa0;pairs with a mobile device,&#xa0;you must still follow the rules concerning&#xa0;the mobile device in individual sections within Limited Areas.&#xa0; Sensitive Compartmented Information Facilities require&#xa0;separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.</p>\n<p><strong>How to identify fake job advertisements</strong></p><p>Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.</p><p>To learn more about recruitment scams:&#xa0;<a href=\"https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf\" rel=\"noopener noreferrer\">https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf</a></p>\n<p><strong>Equal Employment Opportunity</strong></p><p>We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.</p><p><strong>Reasonable Accommodation</strong></p><p>Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.&#xa0; If you need a reasonable accommodation during the application or the recruiting process, please use our <a href=\"https://www.llnl.gov/join-our-team/careers/accessibility\" rel=\"noopener noreferrer\">online form</a> to submit a request.&#xa0;</p>\n<p><strong>California&#xa0;Privacy Notice</strong></p><p>The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles&#xa0;job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed <a href=\"https://www.llnl.gov/join-our-team/careers/privacy-statement\" rel=\"noopener noreferrer\">here</a>.</p>",
          "title": "Additional Information"
        }
      }
    },
    "jobId": "6d862c40-b461-4fb0-b1a9-c64e2c6803e8",
    "active": true,
    "company": {
      "name": "LLNL",
      "identifier": "LLNL"
    },
    "creator": {
      "name": "",
      "avatarUrl": ""
    },
    "jobAdId": "e0008f53-b0ee-4f01-b3e1-265dc2e8498d",
    "applyUrl": "https://jobs.smartrecruiters.com/LLNL/3743990013125026-design-optimization-engineer-postdoctoral-researcher?oga=true",
    "function": {
      "id": "science",
      "label": "Science"
    },
    "industry": {
      "id": "research",
      "label": "Research"
    },
    "language": {
      "code": "en",
      "label": "English",
      "labelNative": "English (US)"
    },
    "location": {
      "city": "Livermore",
      "hybrid": true,
      "region": "CA",
      "remote": false,
      "country": "us",
      "latitude": "37.6818688",
      "longitude": "-121.7684732",
      "fullLocation": "Livermore, CA, United States",
      "hybridDescription": "See job description details"
    },
    "refNumber": "REF8361P",
    "postingUrl": "https://jobs.smartrecruiters.com/LLNL/3743990013125026-design-optimization-engineer-postdoctoral-researcher",
    "visibility": "PUBLIC",
    "customField": [
      {
        "fieldId": "5f482a5514424210633b6164",
        "valueId": "Engineering",
        "fieldLabel": "Organization",
        "valueLabel": "Engineering"
      },
      {
        "fieldId": "5f4585dd14424210633b6162",
        "valueId": "default",
        "fieldLabel": "Brands",
        "valueLabel": "LLNL"
      },
      {
        "fieldId": "5fa4c4ac8dff831cf540d274",
        "valueId": "1ae60b83-1db2-455d-b97f-65390a52b76b",
        "fieldLabel": "Employee Referral Bonus",
        "valueLabel": "Not applicable"
      },
      {
        "fieldId": "5f4825d673fa282066ed7e62",
        "valueId": "PDS.1",
        "fieldLabel": "Job Code 1",
        "valueLabel": "PDS.1 Post-Dr Research Staff  1"
      },
      {
        "fieldId": "5fa4c0992a1c2525a4836aec",
        "valueId": "2813368f-f565-44ae-822f-7f615f148b67",
        "fieldLabel": "Appointment Code",
        "valueLabel": "FP Post-Doctoral"
      },
      {
        "fieldId": "61fed17773e44c7f482a56a6",
        "valueId": "122434ab-441e-4761-a8fe-ec85a222bdc5",
        "fieldLabel": "Pre-Placement Medical Exam",
        "valueLabel": "Not applicable"
      },
      {
        "fieldId": "5f48288273fa282066ed7e63",
        "valueId": "156da5cf-5933-4153-874f-cfd786065564",
        "fieldLabel": "Category",
        "valueLabel": "Engineering"
      },
      {
        "fieldId": "5fa4bed92a1c2525a4836aeb",
        "valueId": "7beb8635-2c97-4d8c-bc24-e6c360bcfd9c",
        "fieldLabel": "Internal Only",
        "valueLabel": "No"
      },
      {
        "fieldId": "COUNTRY",
        "valueId": "us",
        "fieldLabel": "Country/Region",
        "valueLabel": "United States"
      },
      {
        "fieldId": "5f48428273fa282066ed7e65",
        "valueId": "9788",
        "fieldLabel": "Payroll Account",
        "valueLabel": "9788 Computational Engineering"
      },
      {
        "fieldId": "5f48412d14424210633b6166",
        "valueId": "3800b33d-2b7a-446b-b3bf-7482f9e1879d",
        "fieldLabel": "Pre-Employment Drug Test",
        "valueLabel": "Required for external applicant(s) selected for this position (includes testing for use of marijuana)"
      },
      {
        "fieldId": "5f482bd914424210633b6165",
        "valueId": "12624d48-88de-4f46-abd0-5ea1249b75e3",
        "fieldLabel": "Security Clearance",
        "valueLabel": "Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation)"
      },
      {
        "fieldId": "5f482af273fa282066ed7e64",
        "valueId": "4ba6b293-f13f-4d51-93f4-550da51f1c73",
        "fieldLabel": "Position Type",
        "valueLabel": "Post Doctoral"
      }
    ],
    "referralUrl": "https://jobs.smartrecruiters.com/external-referrals/company/LLNL/publication/8387a838-b7ec-4dff-a693-f166852719ca?dcr_ci=LLNL",
    "defaultJobAd": true,
    "releasedDate": "2026-05-14T01:03:07.801Z",
    "experienceLevel": {
      "id": "entry_level",
      "label": "Entry Level"
    },
    "typeOfEmployment": {
      "id": "permanent",
      "label": "Full-time"
    }
  },
  "company": {
    "name": "LLNL",
    "identifier": "LLNL"
  },
  "jobAdId": "e0008f53-b0ee-4f01-b3e1-265dc2e8498d",
  "function": {
    "id": "science",
    "label": "Science"
  },
  "industry": {
    "id": "research",
    "label": "Research"
  },
  "language": {
    "code": "en",
    "label": "English",
    "labelNative": "English (US)"
  },
  "location": {
    "city": "Livermore",
    "hybrid": true,
    "region": "CA",
    "remote": false,
    "country": "us",
    "latitude": "37.6818688",
    "longitude": "-121.7684732",
    "fullLocation": "Livermore, CA, United States",
    "hybridDescription": "See job description details"
  },
  "refNumber": "REF8361P",
  "department": {},
  "visibility": "PUBLIC",
  "customField": [
    {
      "fieldId": "5f482a5514424210633b6164",
      "valueId": "Engineering",
      "fieldLabel": "Organization",
      "valueLabel": "Engineering"
    },
    {
      "fieldId": "5f4585dd14424210633b6162",
      "valueId": "default",
      "fieldLabel": "Brands",
      "valueLabel": "LLNL"
    },
    {
      "fieldId": "5fa4c4ac8dff831cf540d274",
      "valueId": "1ae60b83-1db2-455d-b97f-65390a52b76b",
      "fieldLabel": "Employee Referral Bonus",
      "valueLabel": "Not applicable"
    },
    {
      "fieldId": "5f4825d673fa282066ed7e62",
      "valueId": "PDS.1",
      "fieldLabel": "Job Code 1",
      "valueLabel": "PDS.1 Post-Dr Research Staff  1"
    },
    {
      "fieldId": "5fa4c0992a1c2525a4836aec",
      "valueId": "2813368f-f565-44ae-822f-7f615f148b67",
      "fieldLabel": "Appointment Code",
      "valueLabel": "FP Post-Doctoral"
    },
    {
      "fieldId": "61fed17773e44c7f482a56a6",
      "valueId": "122434ab-441e-4761-a8fe-ec85a222bdc5",
      "fieldLabel": "Pre-Placement Medical Exam",
      "valueLabel": "Not applicable"
    },
    {
      "fieldId": "5f48288273fa282066ed7e63",
      "valueId": "156da5cf-5933-4153-874f-cfd786065564",
      "fieldLabel": "Category",
      "valueLabel": "Engineering"
    },
    {
      "fieldId": "5fa4bed92a1c2525a4836aeb",
      "valueId": "7beb8635-2c97-4d8c-bc24-e6c360bcfd9c",
      "fieldLabel": "Internal Only",
      "valueLabel": "No"
    },
    {
      "fieldId": "COUNTRY",
      "valueId": "us",
      "fieldLabel": "Country/Region",
      "valueLabel": "United States"
    },
    {
      "fieldId": "5f48428273fa282066ed7e65",
      "valueId": "9788",
      "fieldLabel": "Payroll Account",
      "valueLabel": "9788 Computational Engineering"
    },
    {
      "fieldId": "5f48412d14424210633b6166",
      "valueId": "3800b33d-2b7a-446b-b3bf-7482f9e1879d",
      "fieldLabel": "Pre-Employment Drug Test",
      "valueLabel": "Required for external applicant(s) selected for this position (includes testing for use of marijuana)"
    },
    {
      "fieldId": "5f482bd914424210633b6165",
      "valueId": "12624d48-88de-4f46-abd0-5ea1249b75e3",
      "fieldLabel": "Security Clearance",
      "valueLabel": "Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation)"
    },
    {
      "fieldId": "5f482af273fa282066ed7e64",
      "valueId": "4ba6b293-f13f-4d51-93f4-550da51f1c73",
      "fieldLabel": "Position Type",
      "valueLabel": "Post Doctoral"
    }
  ],
  "defaultJobAd": true,
  "releasedDate": "2026-05-14T01:03:07.801Z",
  "detail_errors": [],
  "experienceLevel": {
    "id": "entry_level",
    "label": "Entry Level"
  },
  "typeOfEmployment": {
    "id": "permanent",
    "label": "Full-time"
  }
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/e6b16d203d4b4c2205f24e30184ffa679921ac68?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/ede835e9-7877-4118-b9da-1ad1bba84e87JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/1df6cd9d-2e0a-424c-a75d-264a08f3be51JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/e6b16d203d4b4c2205f24e30184ffa679921ac68/eventsJSON