ABOUT THE TEAM 

The Multinational Digital Infrastructure (MDI) team is responsible for designing, deploying, and sustaining the sovereign and multinational classified systems that power Anduril’s global Maritime and AUKUS missions. As a Multinational Digital Infrastructure & Systems Engineer, you will architect and implement the classified environments, networks, gateways, and access pathways that enable U.S., Australian, and UK engineering and operational teams to collaborate at speed across IL5,IL6, and releasable environments. You will work across engineering, security, Mission Ops, and product teams to ensure our digital infrastructure is secure, scalable, and ready to support emerging mission demands.

ABOUT THE JOB 

As a Full Stack Systems and Software Engineer, you will have the opportunity to work across complex digital ecosystems, architecting and implementing solutions that integrate seamlessly across Maritime platforms, secure classified environments, and corporate IT systems. We are seeking an experienced and versatile Full Stack Systems and Software Engineer to design, develop, and deploy mission-critical systems for Maritime, Multinational Digital Infrastructure solutions. By combining robust systems engineering with innovative software development, this role will help streamline Lattice OS deployments in sovereign, multinational, and operational environments, ensuring scalability and reliability at every layer of the stack. 

WHAT YOU’LL DO 

Software Development & Engineering

• Build Frontend Applications: Develop intuitive user interfaces for command-and-control (C2) systems, mission dashboards, and system health monitoring tools that deliver meaningful insights to stakeholders.
• Develop Backend and Middleware Services: Design scalable, secure APIs and microservices that enable seamless data flow across heterogeneous networks, edge devices, and cloud environments.
• Integrate with Lattice OS: Extend and enhance the Lattice OS platform by building tools and software interfaces to integrate Maritime systems, unmanned vehicles, and classified cloud environments.

Systems Engineering & Integration

• Bridge Maritime Platforms and IT Infrastructure: Develop integrations between sensors, mission systems, network devices, and multinational defense environments, ensuring operational data flow between undersea platforms, edge systems, and classified networks.
• Implement Secure Networking Solutions: Build and test mesh networking architectures, fault-tolerant data pipelines, and edge-to-cloud systems used in classified operations across sovereign and multinational domains.
• Support CorpTech IT Systems: Collaborate with corporate IT and networking teams to ensure operational and administrative systems meet enterprise reliability, scalability, and security requirements.

Global Mission Focus

• Support Multinational Deployments: Develop and test solutions that support bilateral and multinational operations in environments such as the U.S., Australia, and UK, focusing on AUKUS joint missions.
• Collaborate Across Disciplines: Work closely with hardware, autonomy, DevOps, and infrastructure teams to ensure seamless end-to-end integration of Anduril’s products.
• Field Support for Exercises & Testing: Participate in multinational exercises and tests to validate software and systems functionality, while troubleshooting integration issues in real time.

Process & Documentation

• Develop Technical Documentation: Write clear and concise integration guides, API documentation, software deployment procedures, and best practices that ensure repeatability across engineering teams.
• Contribute to R&D: Leverage lessons learned through real-world use to influence the next generation of Lattice and Maritime systems.

REQUIRED QUALIFICATIONS 

• 5+ years of experience in full-stack software engineering or systems integration.
• Strong proficiency in frontend development (e.g., React, Angular, or Vue.js) and backend development (e.g., Python, Go, Node.js, or similar languages).
• Experience with systems engineering, including networking, security, and edge/cloud system integrations.
• Deep understanding of RESTful APIs, microservices, and distributed systems architecture.
• Familiarity with tools such as Docker, Kubernetes, or other container orchestration solutions.
• Hands-on experience with at least one cloud platform (e.g., AWS, Azure, or GCP), ideally focused on secure or classified environments.
• Working knowledge of network protocols, mesh networking, and/or secure communication paradigms.
• Education: Bachelor’s degree in computer science, engineering, or a related technical field.
• Travel: Willingness to travel domestically and internationally up to 30% to support field testing, customer engagement, and system deployments.
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Familiarity with Maritime platforms, including unmanned underwater vehicles (UUVs), undersea sensors, or submarine combat and support systems.
• Previous work with Lattice OS or similar autonomy and sensor fusion operating systems.
• Experience working in sovereign cloud environments (e.g., AWS Secret Region, Australian IRAP-compliant builds).
• Hands-on support for classified military networks, AUKUS collaboration, or multinational mission systems integration.
• Strong troubleshooting skills in hardware/software/network interactions within dynamic, ambiguous operational environments.

Location

Washington, D.C.

Job Description

We are looking to hiring a Deployment / DevOps Engineer who will work to deploy and implement Rhombus software solutions. The Deployment Engineer will also train users and obtain user feedback, as well as interacting with the Rhombus product team on current and upcoming user requirements. The ideal candidate will have experience with basic software programming, containerized solutions, DevOps procedures and processes, and with working in an Agile environment.

As a Deployment / DevOps Engineer at Rhombus, you will have the opportunity to build strong systems and software utilizing cloud capabilities to support Rhombus' projects within the national security enterprise! Based in DevOps framework, you will participate in and/or direct major deliverables throughout all aspects of the software development lifecycle including scope and work estimation, scripting, architecture and design, coding and unit testing. Applicants should be self-motivated, curious problem solvers. 

THIS POSITION REQUIRES AN ACTIVE TS/SCI CLEARANCE. PLEASE DO NOT APPLY IF YOU DO NOT HOLD AN ACTIVE CLEARANCE

Responsibilities

• Managing, building, configuring, administering, operating and maintaining all components that comprise the DevOps environment
• Developing and maintaining scripts to automate tool deployment to an AWS cloud environment and other tasks. Sold scripting experience is a must! 
• You'll be responsible for scripting and maintaining build environments
• Working with project teams to integrate their products into the DevOps environment
• Conducting round table discussions on capabilities to ensure smooth deployment 
• Defining enterprise Continuous Integration/Continuous Deployment processes and best practices
• Codifying software development best practices across the enterprise
• Developing automated testing framework within DevOps processes

Qualifications

• Must possess an active TS/SCI clearance, please apply only if you have an active clearance
• At minimum, BA/BS degree in Computer Science or similar technology-focused programs
• At minimum 5 years' experience 
• Experience working on Amazon Web Services (AWS) technologies
• Experience with DevOps pipeline tools and technologies, including Docker, Chef, Jenkins, Ansible, or Kubernetes
• Experience with Command line experience in Linux or Unix
• Experience with HTML, PHP and Python
• Comfortable with SQL
• AWS Solution Architect or AWS SysOps Administrator Certification
• Security+ CE, SSCP, CCNA-Security, or GSEC Certification would be preferred
• Experience in working closely with software developers to integrate, configure, and deploy commercial products
• Experience with Multi cloud management
• Knowledge in complex application integration AWS certification

Personal Qualities:

• Must have strong problem-solving skills and demonstrated excellent oral and written communication skills
• We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems
• Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive

Salary Range

• The estimated base salary range for this position is $120,000 to $190,000/year

Benefits 

• Full medical, dental, vision coverage for employee and dependents 
• 401k matching program 
• PTO and Holidays 
• Bonus and other incentive programs
• Access to mental health program
• Access to Flexible Spending Accounts for Health Care, Dependent and Commuter

About Rhombus 

Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto.  We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. 

Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. 

Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer. 

AI Office Lead - Senior AI Solutions Architect

NTT DATA is a team of more than 139,000 diverse professionals operating in more than 50 countries worldwide. Our sectors of activity include telecommunications, finance, industry, utilities, energy, public administration, and health.

Our mission? Offer technological solutions, business, strategy, development, and application maintenance while being a benchmark in consulting. Thanks to the collaboration between teams, the human quality of our people, and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.

Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to each client's needs. Our talent has led us to be one of the top six technology companies in the world.

Because #Greattech, needs #GreatPeople, like you

NTT Data seeks high-achieving team players who quickly adapt to new challenges and entrepreneurial ventures. We are looking for a Senior AI Solutions Architect to work with our global client in Washington, D.C. This role will require an onsite presence at our client location.

Location: Washington D.C. onsite is highly preferred BUT open to candidates from Peru, Mexico, Brazil, or Chile who can work in the DC time zone**

Focus: AI Platform Architecture, Orchestration & Enterprise Integration
Experience Level: Senior (7+ years)

Role Overview

Background & Environment

• Proven experience as a senior architect or technical lead within AI, data, or digital platforms.
• Experience working in large, federated, or matrixed organizations, including public sector, healthcare, or international institutions.
• Strong background operating in environments with governance, compliance, interoperability, and cross-domain integration requirements

Key Responsibilities

Required Technical Skills & Expertise

Preferred Certifications & Training

• Scrum Master or equivalent Agile certification
• Executive-level training in AI Strategy
• NIST AI Risk Management Framework (AI RMF) training
• Microsoft Azure AI Engineer Associate
• Microsoft Azure Solutions Architect Expert
• Microsoft Copilot and Agent Administration Fundamentals

Why NTT Data?   

Empowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allow us to transform our goals into achievements, and projects into realities.

NTT Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. NTT Data is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.

AI Programmer – MCP Server & Agent Systems

NTT DATA is a team of more than 139,000 diverse professionals operating in more than 50 countries worldwide. Our sectors of activity include telecommunications, finance, industry, utilities, energy, public administration, and health.

Our mission? Offer technological solutions, business, strategy, development, and application maintenance while being a benchmark in consulting. Thanks to the collaboration between teams, the human quality of our people, and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.

Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to each client's needs. Our talent has led us to be one of the top six technology companies in the world.

Because #Greattech, needs #GreatPeople, like you

NTT Data seeks high-achieving team players who quickly adapt to new challenges and entrepreneurial ventures. We are looking for a AI Programmer to work with our global client in Washington, D.C. This role will require an onsite presence at our client location.

Experience Level: Mid–Senior (4–7+ years)
Focus: AI Agents, MCP Servers, Python Engineering
Location: Washington, D.C. (onsite preferred)
Open to candidates based in Peru, Mexico, Brazil, or Chile who can work in the DC time zone

Role Overview

The AI Programmer – MCP Server & Agent Systems is a hands-on engineering role focused on building, deploying, and maintaining MCP servers and agent-based AI services that integrate with enterprise platforms and data systems.

This role works closely with Senior AI Solutions Architects and platform teams to implement production-ready AI agents, orchestration workflows, and backend services using Python. The ideal candidate is a strong programmer with practical experience implementing AI agent patterns—not just experimenting with them.

Key Responsibilities

MCP Server & Agent Development

• Design, build, and maintain MCP servers that support AI agent execution, tool invocation, and orchestration
• Implement agent-based workflows using Python and modern AI frameworks
• Develop reusable services and APIs to enable agent interaction with enterprise systems and data sources

AI Agent Implementation

• Implement AI agents using frameworks such as LangChain, LangGraph, or MCP-style architectures
• Support RAG-based solutions including vector search, embeddings, and grounding strategies
• Implement guardrails, logging, and error handling for agent reliability and safety

Integration & Deployment

• Integrate AI agents with existing applications, APIs, data platforms, and workflows
• Package and deploy AI services using containerization and cloud-native patterns
• Support CI/CD pipelines for AI services and agent systems

Collaboration & Delivery

• Work closely with AI architects to implement approved designs and PoCs
• Participate in code reviews, testing, and technical documentation
• Support iteration from PoC to production under architectural and governance guidance

Required Technical Skills & Experience

Programming & Engineering

• Strong proficiency in Python
• Experience building backend services, APIs, or microservices
• Familiarity with Git-based workflows and collaborative development

AI Agents & Generative AI

• Hands-on experience implementing AI agents or orchestration workflows
• Experience with frameworks such as LangChain, LangGraph, or similar agent frameworks
• Understanding of LLM-based applications, prompt design, and tool-calling patterns

Data & AI Integration

• Experience working with vector databases, embeddings, and RAG pipelines
• Ability to integrate AI services with structured and unstructured data sources
• Familiarity with data APIs, event-driven systems, or streaming pipelines is a plus

Cloud & DevOps (Preferred)

• Experience deploying services in cloud environments (Azure preferred)
• Familiarity with Docker and cloud-native deployment patterns
• Exposure to CI/CD pipelines and basic MLOps concepts

Why NTT Data?   

Empowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allow us to transform our goals into achievements, and projects into realities.

NTT Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. NTT Data is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.

Intro to Position

The Lead AI Solutions Engineer, AI Labs, is a foundational role in building NPR's first Generative AI (GAI)-focused product development team. Reporting to the VP of AI Labs, this engineer will be responsible for the technical development and implementation of generative AI solutions. The core mission is to engineer systems that leverage GAI to enhance the quality and actionability of our content metadata, thereby directly supporting the organization's goals of improving content personalization and increasing editorial efficiency. This role involves hands-on work in integrating AI products into core NPR systems, ensuring solutions are scalable, align with ethical guidelines, and are built upon industry best practices. This is a critical opportunity to shape NPR's technical AI adoption and build a new, innovative function.

Responsibilities

• Engineering & Implementation: Design, develop, and deploy scalable Generative AI (GAI) solutions, focusing on enhancing content metadata quality and actionability to meet organizational objectives.
• Architecture & Technical Best Practices: Establish and champion technical best practices for Generative AI systems, including MLOps, RAG architectures, prompt engineering, and model evaluation, ensuring high-quality, maintainable code.
• Cross-functional Development: Collaborate closely with Product Managers, data scientists, software and infrastructure engineers, and relevant subject matter experts to translate product requirements and roadmaps into robust, production-ready AI systems.
• System Optimization & Performance: Implement data-driven methods, A/B testing, and performance monitoring to optimize the efficiency, scalability, and impact of AI models and pipelines.
• Technical Communication: Clearly articulate technical architectures, development progress, and engineering challenges to product and non-technical stakeholders.
• Responsible AI: Integrate ethical AI principles and compliance standards directly into the design and implementation of all AI products, in alignment with company policies.
• Technology Scouting: Research and evaluate emerging AI technologies, frameworks, and industry trends to drive continuous technical innovation within the AI Labs.

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description is subject to change at any time.

Minimum Qualifications

• 8+ years of professional experience in software development, data science, or machine learning engineering, with a focus on building and deploying production systems.
• 2+ years of hands-on experience working with generative AI, machine learning, or data products.
• Expert proficiency in Python and experience creating functional prototypes to validate technical feasibility and user flows.
• Demonstrable understanding and experience building products that leverage Large Language Models, RAG architectures, prompting, function calling, retrieval, vector databases, embeddings, fine-tuning, and model evaluation.
• Familiarity with building and integrating MCP servers and agentic workflows.
• Background in creating QA systems for AI processes and development.
• Excellent communication skills and the ability to clearly articulate technical architectures and challenges to product and non-technical stakeholders.
• A collaborative and respectful approach to work and an ability to adapt quickly to change.
• A deep commitment to the mission of NPR and to the responsible implementation of Generative AI technologies.

Preferred Qualifications

• Experience designing and building highly scalable, production-grade AI/ML pipelines and services.
• Proficiency with cloud platforms, particularly AWS and Google Cloud Platform (GCP) and MLOps tools, particularly MLFlow and Vertex AI. 
• Experience with DevOps practices, including CI/CD and enterprise infrastructure-as-code.
• Experience working in media organizations and an understanding of media delivery systems.

Work Location & Requirements

• Hybrid Permitted: This is a hybrid permitted role. Some aspects of this role require duties better performed at an NPR facility. The employee will be required to be in the office at the Washington, D.C. location at least two days a week. The employee must also reside in an NPR-supported location (D.C., MD, or VA).

Job Type

• This is a full-time, exempt position.

Compensation

Salary Range: The U.S. based anticipated salary range for this opportunity is $187,000 - $208,000 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR offers access to comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees. 

Does this sound like you? If so, we want to hear from you.

#LI-HYBRID

We are seeking a strategic operator to serve as the force multiplier for our CTO and Engineering Leadership Team. Our 800-person SaaS organization has reached a pivotal scale, product-market fit is strong, velocity is high, and our next stage of growth depends on maturing our internal engine. This role sits at the intersection of strategy, data, delivery, and culture, ensuring that Engineering operates with clarity, efficiency, and alignment.

The Director of Engineering Operations will architect the operational rhythm of the Engineering organization, elevate decision quality through data, drive cross-functional initiatives, and build the systems that enable predictable, high-quality delivery at scale. This is a highly visible, career-accelerating role for a leader who thrives at the point where people, process, and technology meet.

Key Responsibilities

Operational Mechanics & Rhythm of Business (RoB)

· Architect and own the Engineering operating cadence, including QBRs, Monthly Business Reviews, strategic planning sessions, and org-wide communications.

· Drive fiscal and resource governance, partnering with Finance and HR on budgeting, headcount planning, workforce strategy, and cloud cost optimization (FinOps).

· Act as the communication conduit for the CTO—drafting strategic memos, board-facing narratives, and alignment messages for 400+ engineers.

Engineering Intelligence, Metrics & Insights

· Define Engineering “success” metrics, moving beyond vanity KPIs to track velocity, quality, efficiency, and people health (e.g, capital allocation, retention, eNPS).

· Own the Engineering Performance Dashboard, synthesizing complex data sets into clear, actionable insights for senior leadership.

· Lead data-driven interventions, proactively identifying bottlenecks, risks, or delivery challenges and recommending solutions.

Delivery Assurance & Portfolio Management

· Maintain a portfolio-level view of all major engineering initiatives, serving as the CTO’s early warning system for slippage, dependency risks, and scope creep.

· Standardize delivery frameworks—create lightweight yet high-compliance definitions of "Ready" and "Done" to drive consistent execution across teams.

· Oversee major cross-functional programs, ensuring alignment on scope, priorities, and timelines.

Tools, Systems & Workflow Optimization

· Optimize engineering tooling, workflows, and automation, driving adoption of systems (Jira, Confluence, GitHub, CI/CD) that increase velocity and output quality.

· Partner with Engineering and Product to evaluate and implement AI-driven tools and practices that improve productivity, automation, and decision-making.

· Establish training, communication, and safe-use guidelines for responsible and effective AI integration.

Horizontal Initiatives & Cross-Functional Leadership

· Serve as the cross-functional glue between Engineering, Product, Design, QA, Customer Success, and other partners.

· Lead complex, horizontal initiatives such as GRC framework implementations, cloud migrations, or GenAI adoption programs.

· Act as a change agent, driving organizational adoption of new processes, structures, and operating models.

Engineering Business Operations

· Manage operational budgets, vendor relationships, and resource planning.

· Partner with Finance, Talent Acquisition, and HR on hiring priorities, onboarding, and retention efforts.

· Prepare operational dashboards and reporting for executive leadership and the Board.

Leadership & Culture

· Mentor and develop Engineering Operations and Program Management staff.

· Foster a culture of accountability, continuous improvement, operational rigor, and data-driven decision making.

· Strengthen clarity, communication, and alignment across the Engineering org.

· Demonstrate diplomatic authority, the ability to influence without formal power, hold senior leaders (including VPs of Engineering) accountable to commitments, and preserve strong, trust-based    relationship.

Required Experience/Skills

· 8–10+ years in Engineering Operations, Technical Program Management, Strategy/Business Operations, or Software Engineering leadership within a high-growth SaaS environment.

· Strong understanding of SDLC, agile methodologies, CI/CD, DevOps, and microservices architecture.

· Advanced analytical skills with expertise in Excel, Looker, Tableau, or similar tools—able to convert data into executive-ready narratives.

· Demonstrated experience driving AI-related innovation across engineering teams, including evaluating AI opportunities, implementing tools, and influencing change at scale.

· Exceptional communication and stakeholder management skills; ability to influence without authority and build trust across all levels.

· Demonstrated success improving engineering processes, delivery predictability, and cross-functional alignment at scale.

· Experience defining operational frameworks, delivery standards, and KPI systems within a Global Organization.

· Preferred: experience with OKR frameworks, people leadership, or certifications (PMP, Agile, Lean).

This is a rare opportunity to operate at the right hand of the CTO and influence how a large-scale technology organization is steered. You'll gain exposure to executive decision-making, board-level communication, and enterprise-wide strategic architecture.

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of Data Scientist II, Natural Language Processing (NLP) Specialist in the Analytics Division of the Technology Department of the ACLU’s National office in New York, NY, San Francisco, CA, or Washington, DC. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the Technology Team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.  

The Analytics division includes analysts, data scientists, survey experts, social scientists, and analytics engineers that support evidence-based decision making and bring quantitative insights on our issues to the courtroom and the public. 

This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU).

WHAT YOU'LL DO 

Reporting to the Data Science Manager — Algorithmic Justice Specialist and collaborating closely with our DevOps Engineering Team, Product Manager for Discovery, and Algorithmic Justice Fellow, the Data Scientist II, NLP Specialist, will support development and evaluation work for high-priority, carefully scoped projects using NLP to support the ACLU’s mission. In this role, the NLP Specialist will be responsible for evaluating proposed uses of generative AI and non-generative natural language AI systems, providing recommendations on whether AI tooling is appropriate or ill-suited for various tasks, and when appropriate, contributing to the development and implementation of AI-based solutions to support the organization’s mission.  

YOUR DAY TO DAY

• Work with various teams and departments to evaluate proposed AI use cases for feasibility and alignment with ACLU values and requirements related to privacy, security, transparency, bias, and environmental impacts  
• Provide recommendations to department and organizational leaders on whether AI tooling is appropriate or ill-suited for various tasks and use cases 
• Develop recommendations and architecture plans for intentional, carefully crafted uses of NLP tooling, appropriately selecting generative or non-generative AI systems and related guardrails and monitoring based on the context and requirements of the use case 
• Contribute to the development and implementation of AI-based solutions when appropriate, collaborating with various departments to ensure successful design, deployment, and continuous evaluation of such systems 
• Contribute to the establishment of AI governance practices and standards in collaboration with colleagues across the organization 
• Contribute to the development of context-specific, high-quality benchmarks for language modelling systems tailored for civil rights and public interest organizations 
• Contribute to various other projects supporting the ACLU’s litigation and policy work by applying natural language processing methods to policy or regulatory text data  
• When relevant, collaborate with academic and civil society researchers to turn your learnings and insights into resources to benefit other public interest organizations 
• Brief departmental leadership on relevant AI research and developments and prepare materials for senior leaders’ speaking engagements on AI issues 
• Communicate to non-technical audiences—including ACLU lawyers, policy advocates, and other staff—details of how large language models (LLMs) and small language models (SLMs) are designed and deployed, including their civil rights implications 
• Implement tooling to estimate the environmental impact of deployed AI systems 
• Stay abreast of important developments in the generative AI research and development space 

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Substantial research or professional experience on issues related to fairness, accountability, and transparency of artificial intelligence (AI) systems, especially generative AI systems 
• Substantial expertise and training in the field of natural language processing, including experience conducting statistical analyses with text data, evaluating and implementing machine learning methods for text data, and strong understanding of text representation techniques 
• Strong familiarity with language modeling and natural language techniques, including strong understanding of the core concept underlying the design of small language models (SLMs) and large language models (LLMs)  
• Substantial experience writing code in Python and working with open-source NLP libraries such as transformers and NLTK 
• Substantial experience working with text data from legal, policy, and social science contexts, such as legal filings, statutes, and regulations 
• Familiarity with the core concepts underlying multi-modal (e.g., text-to-speech, text-to-video, etc.) generative AI systems and experience working with multi-modal datasets 
• Familiarity with popular approaches and frameworks for monitoring and evaluating AI-enabled systems, especially generative AI systems 
• Professional or research experience developing software and strong familiarity with common software engineering practices such as version control, testing, and code reviews 
• Experience developing documentation of technical products and systems tailored to both technical and non-technical audiences 
• Experience working with cloud services (e.g. Amazon Web Services, Azure) a nice to have 
• Excellent communication skills, including the ability to communicate complex technical concepts clearly to technologists without NLP expertise and non-technical stakeholders 
• Excellent project management and collaboration skills, with a track record of partnering with cross-functional teams to translate organizational needs into technical solutions 

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.

The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. 

Intro to Position

As our IT Network Manager, you will bridge the gap between traditional enterprise networking and the cutting edge of broadcast technology. We are looking for a Cisco-certified leader to oversee the lifecycle of our network infrastructure, specifically optimizing for real-time media transport. Beyond technical mastery, you will act as a collaborative partner to our IT and production teams, fostering a culture of high availability and proactive security. If you thrive in 'always-on' environments and have a passion for seamless media delivery, this is your next challenge

Responsibilities

• Manage and support enterprise network infrastructure including Cisco ACI, Catalyst and Nexus switches, Firepower (FTD), SD-WAN, Routers and Meraki platforms.
• Manage and lead a team of network and voice engineers, effective network and telecom project management, performance management, and professional development. 
• Provide expertise in Storage Area Networking (SAN), including Fibre Channel (FC) and FCoE, with hands-on experience in VSAN design, zoning, and integration with Cisco Nexus and MDS platforms.
• Collaborate with broadcast engineering teams on implementing and maintaining a high-availability IP broadcast network that carries low-latency, real-time audio and video traffic for NPR’s daily content production and live transmission.
• Oversee design, implementation, and optimization of LAN/WAN and wireless networks.
• Configure and maintain routing protocols (BGP, EIGRP).
• Lead network operations, troubleshooting, and root-cause analysis for complex issues.
• Utilize monitoring and analytics tools such as SolarWinds and Cisco Nexus Dashboard 
• Use advanced network visibility tools to analyze performance across internet paths.
• Ensure network reliability, performance, scalability, and security across the organization.
• Develop and maintain network architecture documentation, diagrams, and operational procedures.
• Collaborate with Security, DevOps, Systems, and Enterprise application teams to support enterprise services.
• Communicate effectively with senior leadership, providing clear documentation, analysis, and insights on network performance, risks, incidents and strategic initiatives.

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time.

Minimum Qualifications 

• 8+ years of experience in enterprise networking.
• 3+ years in a network leadership or management role.
• Strong hands-on experience with:
• Cisco ACI
• Cisco Nexus
• Cisco Firepower (FTD)
• Cisco SD-WAN
• Cisco Meraki
• Enterprise Wireless Networks
• Strong expertise in routing and switching (BGP, EIGRP).
• Experience with SolarWinds, Cisco Nexus Dashboard, Cisco Intersight.
• Experience with ThousandEyes.
• Working knowledge of PTP, SMPTE ST 2110, multicast, and QoS.
• Strong troubleshooting, communication, and documentation skills.
• Demonstrated ability to lead technical teams through critical production outages and high-pressure incident response, ensuring fast service recovery and minimizing business disruption.
• Ability to translate complex broadcast requirements into scalable Network architectures, overseeing robust business continuity planning, and fostering a culture of technical excellence.

Preferred Qualifications

• Cisco CCNP (Enterprise or Data Center).
• lCisco CCIE certification.
• Experience with high-quality, real-time audio and video over IP networks, such as SMPTE ST 2110 and NDI, particularly in a IP broadcast environment.
• Experience with large-scale or multi-site enterprise environments.
• Experience with network automation / Infrastructure as Code.
• Experience with managing on-prem and hosted Telephony and AV systems.
• Experience supporting audio/video transmission or production workflow.

Work Location & Requirements

• Hybrid Permitted: This is a hybrid permitted role. The employee will be required to be in the office at the Washington, D.C. location at least 2 days a week. The employee must also reside in Washington, D.C. / Maryland / Virginia Metro Area.

Job Type

• This is a full-time, exempt position.

Compensation

Salary Range: The U.S. based anticipated salary range for this opportunity is $158,500 - $180,000 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR offers access to comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees. 

Does this sound like you? If so, we want to hear from you.

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