Computer Vision for High Energy Laser Alignment Systems Postdoctoral Researcher
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Job Location:
Livermore, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
We have an opening for a highly qualified and motivated Postdoctoral Researcher to join the National Ignition Facility (NIF) Automated Alignment team. This team develops sustains and improves the operational software that automatically aligns NIF laser systems prior to experiments. The role is primarily focused on computer vision and image processing with software engineering and machine learning serving as important secondary skill sets to improve robustness performance and maintainability.
You will work closely with multidisciplinary teams of scientists and engineers working on innovative solutions that improve performance supporting NIF Operations maintaining and improving legacy capabilities and analyzing and troubleshooting off-normal conditions in an operational environment. This position is in the Computational Engineering Division (CED) within the Engineering Directorate.
This position offers a hybrid schedule blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week when consistent with team and operational needs.
You will
- Research design develop test and maintain computer vision and image processing algorithms used for automated alignment of high energy laser systems.
- Develop and sustain production software that supports NIF Operations including maintaining and improving legacy codebases.
- Analyze and troubleshoot off-normal system behavior identify root causes and implement corrective actions in collaboration with domain experts.
- Apply modern machine learning techniques where appropriate to improve robustness of image processing estimation or classification workflows.
- Follow production-level software engineering practices including:
- participation in technical requirements and design reviews
- code reviews and adherence to coding standards
- configuration management and traceability
- continuous integration automated testing and quality practices appropriate for operational software
- Collaborate with NIF Alignment and Laser stakeholders to integrate algorithms into operational workflows and validate performance against mission needs.
- Document software algorithms testing approaches and operational procedures to support long-term sustainment and knowledge transfer.
- Pursue research and publication activities that complement operational deliverables and advance computer vision and automation methods.
- Present results at internal reviews seminars and scientific meetings and publish in peer-reviewed venues as appropriate.
- Perform other duties as needed.
Qualifications :
- Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
- PhD in computer science engineering applied mathematics physics or a related field with emphasis in computer vision image processing machine learning software engineering or a related area.
- Fundamental knowledge and/or experience in computer vision and image processing including experience developing algorithms for robust real-world data.
- Fundamental programming skills with emphasis on Python and scientific computing workflows (for example NumPy) or another modern stack. Ability to learn IDL and Matlab as needed and contribute to a gradual migration toward Python based systems.
- Demonstrated ability to develop deliver and sustain production-quality software using disciplined engineering practices (for example version control code review testing and documentation).
- Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature.
- Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
Qualifications We Desire
- Experience applying modern machine learning methods to improve robustness of computer vision pipelines.
- Experience with software engineering best practices in operational environments (for example CI systems automated testing coding standards configuration management structured reviews).
- Experience maintaining and improving legacy codebases and implementing incremental modernization without disrupting operations.
- Familiarity with optical laser metrology alignment controls or automation systems.
- Experience debugging complex systems that combine algorithms software data and integration with hardware or operational processes.
- Ability to balance research objectives with operational deliverables and stakeholder needs.
Pay Range
$122028 - $143328 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 employees 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.
Additional Information
#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.
Additional Information :
#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 Clearance
None required. However if your assignment is longer than 179 days cumulatively within a calendar year you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA) Section 3112 generally prohibits citizens of China Russia Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position Candidates must be eligible to access the Laboratory in compliance with Section 3112.
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.
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Remote Work :
No
Employment Type :
Full-time
Key Skills
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