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Senior Software Engineer
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The Senior Software Engineer role focuses on developing secure new applications and functionality, enhancing and supporting existing applications, providing system redundancy, and…
Added 1 min ago
MM
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- $28 to $35 CAD / hour
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Added 1 min ago
MM
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Torrance, CA
- $28.79 to $34.29 CAD / hour
Collaborative and Welcoming Workplace: Inclusive culture rooted in our values, enhanced by Employee Resource Groups, and team-building activities.
Added 1 min ago
MM
Intern, CNC Machining Engineer
Moog Military Aircraft LLC
Torrance, CA
- $28.79 to $34.29 CAD / hour
Collaborative and Welcoming Workplace: Inclusive culture rooted in our values, enhanced by Employee Resource Groups, and team-building activities.
Added 1 min ago
MM
Intern, CNC Machining Engineer
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Torrance, CA
- $28.79 to $34.29 CAD / hour
Collaborative and Welcoming Workplace: Inclusive culture rooted in our values, enhanced by Employee Resource Groups, and team-building activities.
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LLNL

Super Intelligence Platform Integration Engineer

Livermore, CA, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

Company 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.

Job Description

We are seeking a Super Intelligence (SI) Platform Integration Engineer to help build and support the shared services, integration, and automation layer that connects SI applications to internal systems, documented equipment interfaces, and approved external services. You will work across backend services, integration tooling, and operations to help SI systems run reliably and securely using established deployment and operational practices. This position is in the Materials Engineering Division (MED) 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. This position will be filled at either 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

Build and maintain reusable service frameworks, integration adapters, and automation components that enable agent-facing tools to connect securely to internal and approved external systems.
Integrate APIs, webhooks, queues, and event-driven services into reliable integrations that support agent-driven workflows.
Provide shared connectivity among agent services, hardware gateways, internal platforms, and approved third-party systems.
Implement and improve deployment workflows, secrets management, monitoring, logging, and operational reliability for agent-facing services within established organizational systems.
Help define and implement permission boundaries, auditability, rate limiting, and fallback behaviors for automated actions.
Partner with embedded, applied physical SI, security, and application engineers to troubleshoot issues and improve the reliability of integration points. Coordinate with organizational cybersecurity partners on new approaches with support from senior engineers.
Perform other duties as assigned.

Additional job responsibilities, at the SES.2 level

Design integration approaches spanning multiple services, queues, hardware gateways, and approved third-party APIs.
Improve shared platform capabilities by introducing reusable adapters, stronger observability, and safer operational controls based on lessons learned from operational workflows.
Coordinate technical decisions with embedded, applied physical SI, security, and application teams, including the adoption of new integration approaches with cybersecurity partners, and provide informal technical guidance to less experienced engineers.

Qualifications

Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
Bachelor’s degree in computer science, software engineering, or a related field, or an equivalent combination of education and related experience.
Experience through coursework, projects, research, internships, or professional work building or supporting backend services, internal platforms, DevOps workflows, or integration tooling.
Proficiency in Go, Rust, or Python for automation, service integration, and operational tooling.
Familiarity with APIs, webhooks, queues, and event-driven systems.
Working knowledge of Linux, containers, CI/CD, and cloud-hosted services.
Basic networking knowledge, including service connectivity, ports, DNS, proxies, TLS, authentication, and firewall-aware troubleshooting.

Additional qualifications at the SES.2 level

Ability to independently design, implement, and troubleshoot integrations spanning APIs, event-driven systems, and secure service operations.
Ability to improve the reliability or security of shared service integrations through reusable tooling, observability, or operational controls.

Qualifications We Desire

Experience with observability tools for logging, metrics, tracing, and alerting.
Familiarity with Kubernetes, Docker Compose, Terraform, or other infrastructure automation tools.
Exposure to identity and access patterns such as OAuth, service accounts, and RBAC.
Experience supporting machine learning or LLM-based applications in production environments.

Pay Range $121,830 - $185,544 Annually

$121,830 - $154,500 Annually for the SES.1 level

$146,340 - $185,544 Annually for the SES.2 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 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. Additional Information

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 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.

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Skills

Troubleshoot
Cybersecurity
Computer science
Research
DevOps
Go
Rust
Python
Linux
CI/CD
DNS
Troubleshooting
Kubernetes
Docker
IBM Terraform
Machine learning

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