ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a site reliability engineer in Discovery, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve critical outcomes. 

You’ll work closely with software, data, and operations engineers to get systems into the hands of customers, deployed and supported on real infrastructure, with real users.

Above all, Site Reliability Engineers must be driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound decisions to deliver successful outcomes on-time and with high quality.

WHAT YOU’LL DO

• Improve Anduril’s operational capabilities by improving our core product offering through root cause analysis and creating tooling capable of managing large scale deployments
• Drive continuous organizational improvement by leading post-mortem events involving diverse stakeholders
• Quickly diagnose and resolve system issues across cloud, robotics, and mesh networking architectures
• Lead the organization in building scalable, sustainable mechanisms to continue delivering to customers at the pace the business is scaling
• Design, develop, and deliver solutions using modern technologies that ensure scalable and fault tolerant delivery of systems to the warfighter
• Build strong relationships with internal and external customers to identify technical solutions to their problems

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• STEM degree or equivalent technical experience
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, application development, hardware design, and/or cybersecurity
• Minimum of 5 years of operations and engineering experience
• Proficiency with IaC tools (Terraform, Ansible).
• Experience with cloud platforms (Azure, AWS, GCP).
• Proficiency in containerization (Docker) and container orchestration (Kubernetes).
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact

PREFERRED QUALIFICATIONS

• Ability to drive consensus across internal and external stakeholders
• Experience developing and delivering solution to evolving problems in complex environments
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across command echelons
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Experience building scalable solutions along with plans for implementation. Not just the end state, but what are the steps needed to get there while maintaining the customer experience
• Experience performing data-driven root cause analysis on complex systems
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Excellent written and verbal communication skills

ABOUT THE TEAM

Anduril's Application and Security Engineering team is looking for a Staff Security Engineer to focus on Identity and Access Management and build and maintain world class defensive controls to protect the systems we use to build our advanced defense technology products.

WHAT YOU'LL DO

• Build an identity engine that powers the whole company and supercharges our security program
• Create applications that enable and enforce our identity framework across the company
• Develop integrations that unify identities across IdPs, cloud providers, SaaS tools, and internal systems
• Automate identity lifecycle operations: provisioning, access reviews, offboarding
• Collaborate with other IAM engineers and partner teams to define architecture and ship iteratively

REQUIRED QUALIFICATIONS

• Strong programming ability in one or more general purpose languages (Go, Rust, etc)
• Experience with one or more infrastructure as code languages (e.g., Terraform, AWS CDK) in a production capacity
• Experience with identity protocols (SAML, OIDC, SCIM, OAuth) or identity providers (Okta, Azure AD, etc.)
• Proven ability to translate system design requirements into clean, maintainable implementations
• Experience leading or contributing to architecture and design reviews
• Experience working with cloud platforms and deploying applications through CI/CD pipelines
• Ability to work autonomously, take ownership of projects, and collaborate across teams
• Eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Have worked in environments with complex identity or access issues, troubleshooting across distributed systems
• Familiarity with RBAC, ABAC, or policy-as-code frameworks (e.g., OPA, Cedar)
• Experience building bespoke solutions in high-growth and high-complexity environments
• Experience with AWS, Azure, or GCP ecosystems and tooling

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

Washington D.C. Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Washington D.C. if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Washington D.C. Salary Range: $153,000 - $207,000 (80/20 split)

ABOUT THE TEAM
Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB
We are seeking a talented and innovative Quantum Software Engineer to join our forward-looking team at Anduril Labs. In this role, you will be instrumental in building and delivering impactful quantum solutions for both Anduril-internal use cases and external customer applications. You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services. This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems. If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

WHAT YOU’LL DO

• Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain.
• Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability.
• Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points.
• Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field.
• 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language.
• Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation.
• Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar.
• Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity.
• Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL).
• Experience with Git version control, build tools, and CI/CD pipelines.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

PREFERRED QUALIFICATIONS

• Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field.
• Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques.
• Experience building and deploying applications to solve complex business or defense problems for customers.
• Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality.
• Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures.
• Experience with high-performance computing (HPC) environments or parallel programming.
• Familiarity with quantum hardware platforms and their unique characteristics.
• Prior experience in defense, aerospace, or related industries applying advanced technologies.
• Willingness to travel up to approximately 10%.

ABOUT THE TEAM

Anduril's Detection and Response team is looking for a Security Operations Analyst to be the watchtower for Anduril's critical defense technologies. As a SecOps Analyst on the detection and response team, you'll be responsible for monitoring and responding to adversarial activity while helping incorporate key detection feedback loops with the detection engineering team. As a Senior SecOps Analyst, you will serve as an incident commander alongside other senior analysts. When not responding to threats, you'll be asking questions of our data sets, conducting threat hunting and data normalization operations across the organization to understand user behavior and identify anomalies. 

WHAT YOU'LL DO

• Triage and respond to alerts / incidents covering multiple disciplines including, but not limited to, phishing, endpoints, cloud infrastructure and services, and SaaS applications
• Build and optimize tailored detection signatures, response playbooks, and response automation using detection-as-code principles
• As the frontline of DNR, you will lead the feedback loop for detections, ensuring alerts are fine tuned to reduce false positives
• Participate in threat modeling scenarios with cross-functional partners to understand weaknesses across Cloud, Mobile, Endpoints, and other environments incorporating findings into security controls and/or detection signatures
• Organize and conduct threat hunting and data baselines to identify anomalous patterns in data
• Participate in an on-call rotation responding to security events and conducting incident response investigations while effectively communicating findings to key stakeholders. As a Senior SecOps Analyst, you will serve as an incident commander as necessary.
• Proactively collaborate with a wide range of stakeholders, guiding detection and response maturity of key worlds, leading incidents and large-scale data baselines, and being responsible with mentoring and guiding junior analysts.

REQUIRED QUALIFICATIONS

• Experience in security monitoring, log analysis, and detection engineering within large data sets across endpoint, network, and a wide variety of application log sources
• Experience in Python development, specifically contributing to a shared codebase used for automating SOC operations
• Must have experience with one or more SIEM languages (SPL, KQL, SQL)
• Experience conducting analysis in a data lake environment
• Broad range of practical security knowledge across the spectrum of endpoint, network, identity, application, and cloud infrastructure
• Knowledge of attacker tactics, techniques, and procedures (TTPs) across Windows, Linux, MacOS, AWS/Azure, etc.
• Strong communication skills and experience collaborating with internal and external stakeholders
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience conducting incident response in the Cloud (AWS, Azure, GCP)
• Digital Forensics and/or reverse engineering experience is a plus!

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.

ABOUT THE TEAM

Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB

We are looking for a talented full stack software engineer to join our growing team at Anduril Labs in Washington, DC. As a full stack software engineer in Anduril Labs, you will help bring innovative, next-generation concepts to life through proof-of-concept development and rapid prototyping using bleeding edge technologies.

The ideal candidate has exceptional software development and creative problem-solving skills, is a self-starter, and can quickly grasp complex concepts. As a full stack software engineer, you possess the skills to architect, develop, and deploy distributed applications and services, including both front-end and back-end components. You have experience with agile, end-to-end software development lifecycle and are comfortable developing and deploying code across Windows and Linux-based systems (including standalone bare-metal hardware, virtualized environments, and cloud-hosted platforms). Embedded software development experience is a plus. You are also proficient in integrating legacy code and systems, leveraging open-source technologies, and developing and utilizing APIs. Additionally, you have a solid understanding of AI/ML core concepts (e.g., feature extraction, supervised vs. unsupervised learning, regression, classification, clustering, deep learning neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on experience developing (Gen)AI-enhanced applications or services.

We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and experience with data modeling, data wrangling, analytics, and visualization. Since Anduril Labs supports all Anduril businesses and product lines, you will have the unique opportunity to work closely with multi-disciplinary engineering and product development teams across the entire company. This means you will get to directly contribute to the development of Anduril’s next-generation products and services. So if you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Lead the development of prototypes to demonstrate advanced concepts in areas like autonomous and multi-agent systems, GenAI, advanced data analytics, quantum computing/sensing/networking/comms/machine learning, modeling, simulation, optimization, visualization, next-gen human-machine interfaces, heterogenous computing, and cybersecurity.
• Own the entire Software Development Lifecycle from inception through development, testing, deployment, and documentation for Anduril Labs-developed software prototypes.
• Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
• Support Anduril- and customer-funded R&D efforts.
• Participate in field experiments and technology demonstrations.

REQUIRED QUALIFICATIONS

• 3+ years of programming with Python, C++, Java, Rust, Go, or JavaScript/TypeScript.
• Proven software architecture and design skills.
• Ability to quickly understand and navigate complex systems and established codebases.
• AI/ML development using commercial and open-source AI frameworks, models, and tools (e.g., Jupyter Notebook, PyTorch, TensorFlow, Scikit-learn, OpenAI, Claude, Gemini, Llama, LangChain, YOLO, AWS Sagemaker, Bedrock, Azure AI, RAG).
• Web app development (e.g., React, Angular, or Vue).
• Cloud development (e.g., AWS, Azure, or GCP).
• Data modeling and wrangling.
• Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory)
• Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB).
• API development and integration (e.g., REST, GraphQL).
• Containerization technologies (e.g., Docker, Kubernetes).
• Software development on Linux and Windows.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• BS in Computer Science, Engineering, or similar field.
• Distributed applications development (e.g., client/server, microservices, multi-agent solutions).
• High performance computing (HPC) and big data technologies (e.g., Apache Spark, Hadoop).
• Mobile app development (e.g., iOS or Android).
• Embedded software development experience.
• Willingness to travel up to approximately 10%

ABOUT THE TEAM
Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB
We are looking for a talented mid-level Software Engineer with a strong background in optimization to join our growing team at Anduril Labs. In this role, you will be instrumental in developing advanced algorithms and software solutions to tackle complex, multi-domain optimization problems critical to national defense and Anduril’s autonomous systems.

The ideal candidate possesses deep expertise in classical optimization algorithms, robust Python programming skills, and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus. You will leverage state-of-the-art, GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving, a self-starter mentality, and the ability to rapidly apply algorithmic theory and mathematic modeling to practical, real-world optimization challenges. You will be designing, implementing, and deploying optimization algorithms and services that integrate seamlessly into larger defense systems, working across various platforms (on-prem, cloud, and hybrid quantum computing environments). Familiarity with modeling linear and non-linear optimization problems, rapid prototyping, integrating optimization solutions into existing architectures, leveraging APIs, and utilizing open-source tools will be crucial.

If you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Design, develop, and implement highly efficient optimization algorithms and software solutions to solve challenging problems in areas such as resource allocation, scheduling, routing, mission planning, control systems, and supply chain logistics.
• Apply classical optimization techniques (e.g., linear programming, mixed-integer linear programming, combinatorial optimization, network flow, dynamic programming, heuristics, metaheuristics) to model and explore novel approaches.
• Utilize GenAI tools (e.g., OpenAI Codes, Claude Code, GitHub Copilot) to rapidly prototype, refine, and test algorithmic solutions, improving development velocity and code quality.
• Develop robust data models and efficient data pipelines to support complex optimization problems, ensuring data integrity and efficient processing for algorithmic inputs and outputs.
• Collaborate with multidisciplinary teams (software engineers, data scientists, domain experts, product managers) to integrate optimization engines and services into larger defense systems and platforms.
• Perform rigorous testing, validation, and performance analysis of optimization solutions, ensuring scalability, reliability, and accuracy under diverse operational conditions.
• Participate actively in the entire Software Development Lifecycle (SDLC) from requirements gathering and design to deployment, monitoring, and maintenance.
• Support Anduril- and customer-funded R&D efforts, contributing to technical documentation, presentations, and patent applications.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Operations Research, or a related quantitative field.
• 3+ years of professional experience in software development with a dedicated focus on optimization, algorithmic problem-solving, or operations research.
• Experience solving optimization problems in defense, transportation, supply chain, logistics, network optimization, smart grids or similar
• Expert proficiency in Python for scientific computing and robust software development.
• Strong theoretical and practical understanding of classical optimization algorithms (e.g., linear programming, mixed-integer linear programming, constraint programming, network flow, dynamic programming, heuristics, meta heuristics).
• Hands-on experience with optimization libraries and commercial/open-source solvers (e.g., SciPy Optimize, PuLP, CVXPY, Gurobi, CPLEX, OR-Tools, GEKKO). Experience with Gurobi is a plus.
• Solid experience with data modeling, data structures, and algorithms to efficiently prepare, process, and manage data for optimization problems.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Proficiency in using numerical computing libraries such as NumPy, SciPy, and Pandas.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Ability to develop, test, and deploy software effectively on Linux-based systems.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

PREFERRED QUALIFICATIONS

• • Master's or Ph.D. in Computer Science, Applied Mathematics, Operations Research, or a closely related quantitative field.
  • Familiarity with or a strong interest in quantum optimization algorithms, quantum computing concepts, or quantum-inspired heuristic approaches. Experience with D-Wave’s quantum annealing platform is a plus.
  • Experience with performance-critical programming languages such as C++ or Java.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying scalable optimization solutions or high-performance computing (HPC) environments.
  • Prior experience in defense, aerospace, logistics, supply chain management, robotics, or manufacturing optimization domains.
  • Familiarity with integrating machine learning models with optimization techniques (e.g., prescriptive analytics, reinforcement learning for optimization).
  • Excellent communication skills with the ability to articulate complex technical concepts, present findings, and influence technical direction across diverse teams.
  • Willingness to travel up to approximately 10%.

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

#LI-DP1

What You'll Do 

You'll build enterprise integrations that connect our AI platform to Microsoft 365 and other corporate systems. This is hands-on infrastructure work: implementing authentication flows, managing permissions, and creating data pipelines that enable AI agents to operate securely within enterprise environments. 

You'll work closely with senior engineers to expand our platform's integration capabilities—turning technical specifications into production code that consultants rely on daily. 

Your Responsibilities 

Integration Development: 

• Implement OAuth-based authentication flows with proper scope management
• Build data pipelines for email, calendar, file storage, and collaboration platforms
• Handle complex API scenarios like recurring events, large file uploads, and rate limiting
• Create resource mapping between internal systems and external platforms 

Microsoft Graph & Enterprise APIs: 

• Develop integrations using Microsoft Graph API across multiple services
• Implement search and query capabilities using platform-specific APIs
• Optimize performance for high-volume operations
• Build resilient error handling and retry logic 

Security & Compliance: 

• Work with IT teams on app registration and permission workflows
• Implement secure token management with refresh and caching strategies
• Follow enterprise security patterns and data access policies
• Document integration approaches and technical decisions 

Production Support: 

• Monitor integration health and respond to issues
• Handle API throttling and service disruptions gracefully
• Debug authentication failures and permission problems
• Contribute to team knowledge base and documentation 

Your Profile 

Required: 

• 3+ years backend engineering with API integration experience
• Strong proficiency in Node.js and TypeScript
• Deep understanding of Microsoft 365 architecture (Azure AD, SharePoint, Teams, Exchange Online)
• Solid grasp of Microsoft's permission model (delegated vs. application permissions, consent frameworks, API scopes)
• Experience with OAuth 2.0 flows and enterprise authentication patterns
• Hands-on experience with Microsoft Graph API
• Cloud platform experience with Azure and GCP
• Ability to build resilient systems with proper error handling 

Strongly Preferred: 

• MSAL Node library implementation experience
• Understanding of SharePoint site architecture, document libraries, and Teams structure
• Experience with Microsoft Fabric or other Microsoft data architectures
• Model Context Protocol (MCP) implementation experience
• Experience with caching systems (Redis or similar)
• Background working with IT/security teams on enterprise integrations
• Familiarity with AI/LLM platforms or agent systems 

Bonus: 

• Azure AD app registration and administration experience
• Knowledge of other enterprise APIs (Google Workspace, Salesforce, Slack)
• Understanding of Graph SDK internals
• Experience with Adaptive Cards or Teams extensibility
• Familiarity with Microsoft's tenant architecture and multi-tenant applications 

Why This Matters 

Our AI platform serves consultants across a global organization. The integrations you build enable the AI to access the right context while respecting security boundaries—directly impacting how effectively consultants can work. 

We're not building prototypes—we're scaling proven capabilities. Our data infrastructure processes millions of media articles, social posts, and stakeholder signals daily. Our agents don't just answer questions—they generate press releases, analyze media coverage, and provide strategic recommendations that consultants use in high-stakes client situations. 

What makes this interesting: 

• You'll work on real technical challenges: enterprise permissions, asynchronous operations, token lifecycle management
• Your code enables AI capabilities that consultants use every day
• You'll learn integration patterns for AI agents in enterprise environments
• Close collaboration with AI researchers, product teams, and senior engineers 

What you'll learn: 

• Enterprise authentication architecture at scale
• Microsoft Graph API depth across multiple services
• Security patterns for AI agent systems
• How to navigate enterprise IT processes while shipping code 

About FGS Labs 

FGS Labs is FGS Global's innovation engine, building AI and data capabilities that are already in production and delivering value across the firm. Our flagship platform, Fergus, is a live AI assistant used daily by consultants worldwide, powered by real-time media intelligence, proprietary data sources, and specialized agents for M&A, crisis communications, and stakeholder strategy. 

About FGS Global

FGS Global is the world’s leading stakeholder strategy firm, with over 1,500 professionals around the world, advising clients in navigating critical issues and reputational challenges. FGS was formed from the combination of Finsbury, The Glover Park Group, Hering Schuppener and Sard Verbinnen & Co to offer board-level and C-suite counsel in all aspects of stakeholder strategy — including corporate reputation, crisis management, and public affairs and is also the leading force in transaction and financial communications worldwide.

FGS offers seamless and integrated support with offices in the following locations: Abu Dhabi, Amsterdam, Beijing, Berlin, Boston, Brussels, Calgary, Chicago, Dubai, Dublin, Düsseldorf, Frankfurt, Hong Kong, Houston, Kingston, London, Los Angeles, Munich, Paris, Riyadh, San Francisco, Shanghai, Singapore, South Florida, The Hague, Tokyo, Toronto, Vancouver, Washington, D.C., and Zurich. The firm is headquartered in New York.

FGS is consistently ranked a Band 1 PR firm for Crisis & Risk Management and for Litigation Support by Chambers and Partners.  For the second year, FGS was ranked #1 Global M&A PR firm by Deal Count and Value in 2024 by Mergermarket.

We are looking to fill this position as quickly as possible and are open to both freelance and permanent employment arrangements. 

FGS Global is committed to creating a diverse and inclusive environment and welcomes applicants from all backgrounds. 

WHAT WE DO

Our AI and Technology consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Agile Transformation
• Cloud and Technology Strategies
• DevOps
• Solution Design
• App Development

The ideal candidate’s experience may include but is not limited to the following:

• Knowledge and experience in one or more Cloud platforms (AWS, Microsoft Azure, Google Cloud, etc.)
• Knowledge and experience in one or more database platforms (i.e. SQL, DB2, Oracle, Postgres, MySQL, NoSQL, etc.)
• Knowledge and experience in multiple software development languages (i.e.  Java, Javascript, C#, C++, Python, etc)
• Knowledge and experience with one or more software frameworks (i.e. .Net, NodeJS, React, Angular. etc.)
• Knowledge and experience with IoT and Edge Computing strategies and concepts   
• Experience collaborating with clients to translate business requirements into technical requirements
• Experience leading and/or contributing at a significant level to project teams in best practices, design principles, and advanced technologies
• Knowledge and experience in both agile and waterfall project management methodologies 
• Experience leading Waterfall to Agile transformation projects of all sizes
• Coaching Agile process and best practices for teams and organizations

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity, and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings