Optics Inspection Analysis Software Developer

We have an opening for an Optics Inspection Analysis Software Developer on the Optics Inspection Analysis team at the National Ignition Facility (NIF). In this role you will support our research by contributing to the modernization and maintenance of the Optics Inspection image processing and analysis codebase. Your efforts will establish a modern maintainable foundation and will enable development of enhanced analysis capabilities and innovation. This position is in the NIF Computing (NIFC) Division within the Computing Directorate and in support of NIF and Photon Science.

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. 

This position will be filled at either the SES.3 or SES.4 level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.

You will

• Analyze existing image processing and analysis code (written primarily in MATLAB Perl and Java) document functionality and requirements and create specifications to guide code reimplementation.
• Reimplement/reengineer MATLAB image processing routines in Python using appropriate libraries (OpenCV scikit-image etc.) while maintaining accuracy and functionality.
• Implement comprehensive unit tests integration tests and performance benchmarking to ensure code correctness robustness and performance.
• Maintain and enhance the modernized code base according to customer needs and project priorities and document it (including code processes procedures and system architecture).
• Contribute to the development implementation and documentation of coding standards testing frameworks version control workflows and CI/CD practices.
• Research evaluate and recommend tools utilities and libraries to improve development processes and workflows and enhance software capabilities.
• Actively collaborate with team members participate in code reviews and collaborate with NIF scientists stakeholders and customers to identify and clarify requirements and validate implementations.
• Mentor team members in Python software development best practices and modern software engineering techniques.
• Perform other duties as assigned.

Additional Responsibilities at SES.4 Level

• Provide technical direction and leadership in image processing through researching identifying developing and implementing innovative and highly advanced image processing and analysis methods and techniques while collaborating closely and mentor colleagues within and beyond NIF & PS.
• Provide technical leadership and mentoring in Python and software development and engineering to team members and collaborators. Promote and establish modern software development and engineering techniques and best practices both within and beyond NIFC.
• Shape the architecture technical strategies and lead the evolution of the analysis software code base analysis methods and software engineering practices by anticipating future needs and proactively researching identifying and evaluating appropriate libraries tools and techniques and championing their use.

Qualifications :

• Ability to obtain and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• Bachelors degree in Computer Science Computer Engineering Applied Mathematics or related field or equivalent combination of education and related experience.
• Significant software development experience using Python 3 as the primary development language and advanced knowledge of Pythons fundamental concepts constructs and idiomatic practices.
• Significant experience with image processing or signal processing in Python using image processing libraries such as OpenCV and scikit-image and scientific computing libraries such as NumPy SciPy and Pandas.
• Advanced knowledge of MATLAB code and programming including the ability to understand MATLAB code and write descriptions of its functionality. Advanced experience implementing automated testing (unit tests integration tests) to ensure code quality.
• Significant experience with code profiling and performance optimization.
• Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information to both technical and non-technical audiences.

Additional Qualifications at SES.4 Level

• Highly advanced software development experience using Python 3 as the primary development language with demonstrated ability to architect implement and maintain large and complex software systems or applications coupled with subject matter expert knowledge of Python development and software engineering best practices and technologies.
• Expert level experience establishing technical direction coding standards and development workflows for software projects with demonstrated ability to make strategic technical decisions and evaluate and integrate new technologies and approaches to solve complex problems.
• Expert communication facilitation and collaboration skills necessary to collaborate with present explain and advise management and/or external stakeholders.

Desired Qualifications

• Masters degree in Computer Science Computer Engineering Applied Mathematics or related field.
• Prior experience reengineering and reimplementing a large software project into a new
• language and architecture.
• Experience with one or more of the following: using SQL to interact with Oracle databases using a modern Git-based software forge such as GitLab GitHub or Bitbucket developing and maintaining CI/CD pipelines for project testing and deployment or creating and deploying containers with Docker.

Pay Range

$175530 - $267060 Annually

$175530 - $222564 Annually for the SES.3 level

$210630 - $267060 Annually for the SES.4 level

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 Career Indefinite position open to Lab employees and external candidates.

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

  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:  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.

  
  

  Remote Work :

  No

  
  

  Employment Type :

  Full-time