THE ROLE

Pure1 is the unifying manageability and intelligence layer on top of all Everpure products and services - FlashArray, FlashBlade, CBS, Portworx and more. It is the nexus of our promise of a simple customer experience, providing insights and tools to help make our customers’ lives better.

WHAT YOU'LL DO

• Working on end-to-end lifecycle application development across the full stack (roughly 50% frontend and 50% backend, vary quarter by quarter). AI tooling fluency is preferred: you are expected to use AI to generate over 70% of your code.
• Brand new subscription and commerce features and as-a-Service offerings to surface customer needs and bring completely new sources of revenue to the company
• Web infrastructure and Data processing pipelines that manage petabytes of data being sent home to our cloud hosted systems in real-time
• An industry-leading SaaS cloud platform, Pure1 Manage, which allows customers to manage their array from any browser or from the Pure1 Mobile App. We build tools to manage large fleets of devices and help customers identify and quickly diagnose issues across the stack
• Machine learning models allowing for predictive analytics to help resolve potential issues and optimize customer workloads
• Designing, developing and maintaining customer-facing and internal-facing web applications, leveraging AI design tools and using technologies such as backend micro-services in Java, Python, NodeJS, and in collaboration with our UX team for frontend work in Angular and Typescript
• Experimenting with AI on new technologies and architectural patterns such as containers (k8s) or micro-frontends, in order to push the state-of-the-art and innovate new solutions
• Collaborating with peers and stake-holders to identify requirements and take solutions from initial design to production
• Leading/driving a project’s implementation, including coordinating other engineers’ work
• Bringing a focus on design, development, unit testing, code reviews, documentation, continuous integration and continuous deployment
• Continuously explore and develop use of AI in all above areas to help accelerate the development life cycle and reduce traditional software development and maintenance pain points
• We are primarily an in-office environment and therefore, you will be expected to work from the Bellevue office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 5+ years of professional experience designing, implementing and testing various product components
• Leadership experience driving projects from requirements to release, including directing other engineers
• Experience using AI to generate production quality code and familiarity with current AI development tools
• 5+ years combined experience in Java and Javascript, or equivalent. Nice to have: Python, Typescript
• Ability to thrive in a highly collaborative and team-oriented environment
• Ability to monitor and support multiple concurrent projects with fast context switching
• Knowledge of AWS, Kubernetes, networking infrastructure. Angular, NoSQL are a plus
• Eagerness to explore using AI tools to improve development and process efficiency

#LI-ONSITE

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of UAS threats. Working across product, engineering, business development, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems in challenging operational environments worldwide.

ABOUT THE JOB

We are looking for a Mission Operations Engineer to join our USAF team. In this role, you will resource and help execute world-class technical training instruction to our partner components and their unique demands. Further, you will be the counter unmanned systems (cUAS) subject matter expert for components and help them resource realistic training and manage all hardware and software configuration of cUAS-peculiar equipment under the Anduril family of CUaS systems. Multi-functional work and proactive communication across internal teams will help you drive the end-to-end customer experience. If you are passionate about educating others on ground-breaking technology, contributing to the national security mission, interacting alongside professionals that span a wide-range of disciplines, and providing best-in-class training support, Anduril is interested in speaking with you.

We are a fast-growing company at the early stages of our growth and you will be expected to immediately develop and own material and projects during your time on the team which will have a significant impact on the Program’s trajectory. Anduril fosters a diverse, collaborative, culture with plenty of opportunities for ownership and professional growth.

WHAT YOU'LL DO

• Deliver training and education to a USAF component across the entire family-of-systems
• Contribute to training curriculums (eg, POIs) across a variety of platforms, ranging from computer-based simulations and knowledge portals to hands-on individual and collective training
• Collaborate with a USAF customers and own the cUAS problem for them by identifying knowledge gaps, training opportunities, and building solutions
• Create and update training material for Anduril and partner product capabilities
• Manage the end-to-end hardware and software configurations for all assigned cUAS equipment
• Assist in the sustainment and deployment of the Anduril family-of-systems

REQUIRED QUALIFICATIONS

• 8 years work experience
• Ownership mentality with strong initiative in managing your own work in isolated environments
• Resourcefulness. You should have a natural bias towards action and assume responsibility very early on in your Anduril career
• Independent collaborator. You should be comfortable representing Anduril at a remote site, co-located with the customer, and work well to push your customer’s capabilities while
• Training background. Ideally planning training events, developing curriculum and/or delivering training
• Comfort with communicating complex thoughts simply across various methods of communication and tools
• Enthusiasm towards transforming US and allied military capabilities with advanced technology
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Special Operations experience required, USAF experience highly preferred
• Willing to travel up to 50%

Position is full-time at the Washing D.C. office but requires travel to support customer delivery and training events.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Signal Processing Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for leading the development discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Lead the development of discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Mentor engineers and provide technical leadership on signal processing approaches and best practices
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
• 8+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Proven expertise in EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Strong proficiency with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Demonstrated technical leadership experience with ability to mentor engineers and drive technical direction
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Proven expertise developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Signal Processing Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for developing discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Develop discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field
• 5+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Strong understanding of EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Experience with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Experience developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for developing 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. You will design and implement multi-target tracking systems using advanced state estimation and data association techniques, develop physics-based models to validate performance, and work closely with software teams to deploy your algorithms into operational systems. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, and experience with modeling and simulation. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints then this role is for you.

WHAT YOU’LL DO

• Perform systems engineering and algorithm development tasks supporting space and missile defense tracking missions
• Design and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Develop and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Implement advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Apply and refine data association techniques, such as: nearest neighbor and probabilistic association; Joint Probabilistic Data Association (JPDA); Multiple Hypothesis Tracking (MHT); and track-to-track fusion methods
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Conduct performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Support the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Prepare technical documentation and briefings for design reviews (SRR, PDR, CDR) and customer engagements

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 5+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Strong theoretical and practical experience with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience working within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V;), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

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

Anduril’s Discovery business line is seeking a talented Technical Program Manager to join our rapidly growing team. In this role, you will be responsible for shaping and delivering features and services critical to the next generation of air and missile defense systems. This role requires a unique blend of technical expertise, program management experience, customer focus and an understanding of the defense sector and military systems. You will work closely with engineering, product, business, and government stakeholders to deliver innovative solutions that meet the needs of our customers and partners.

WHAT YOU'LL DO

• Program Management: Align program roadmaps, manage timelines, and allocate resources to ensure successful delivery and production-quality. Balance competing priorities across multiple products and programs in a fast-paced, startup environment.
• Cross-functional Collaboration: Serve as the primary liaison between engineering teams, product management, and external stakeholders—including defense contractors and government entities. Align cross-functional teams on their goals, dependencies, and deliverables. Drive effective communication and collaboration across distributed teams and locations.
• Technical Expertise: Understand the architecture, dependencies, and technical challenges of defense-related systems. Support engineering teams in resolving technical issues, making trade-offs to meet division objectives.
• Risk Management: Identify and mitigate risks proactively, including technical, schedule, and compliance-related risks. Monitor dependencies, anticipate bottlenecks, and adjust plans as needed to maintain program momentum.
• Stakeholder Management: Manage relationships with key customers, partners, and government agencies, ensuring program alignment with contractual obligations and stakeholder expectations. Prepare and deliver clear program updates, technical briefs, and performance reports for internal and external audiences.
• Process Improvement: Implement and refine processes to enhance program execution and efficiency within a startup environment. Leverage best practices in program management while adapting to the unique challenges of the defense sector. Cultivate knowledge management repositories and CI/CD pipelines to build processes that result in production-quality engineering deliverables.

REQUIRED QUALIFICATIONS

• Minimum 5 years of experience as a Technical Program Manager, Product Manager, Engineering Manager, or Engineer for a commercial technology, aerospace, or defense company
• Strong technical background with familiarity in systems engineering, software development, and networking
• Proven client-facing technical program management and/or systems engineering experience
• Experience  developing and driving engineering plans through Jira and other industry-standard tooling
• Demonstrated ability to translate complex technical issues into business-impact insights
• Ability to work within organizations with minimal structure and with minimal direction 
• Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth
• Exceptional organizational and communication skills
• Willingness to travel as needed (up to 25%, depending on location)
• Currently possesses and is able to maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience building tracking solutions in Palantir Foundry 
• Professional or relevant person experience integrating AI into personal or team workflows
• Experience guiding the delivery and operation of distributed systems, CI/CD pipelines, APIs, middleware, 3rd-party software developer experience initiatives, and/or modular system architectures
• Experience managing Test and Evaluation or continuous Quality Assurance of complex software programs
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Bachelor’s Degree in Computer Science or an Engineering discipline

ABOUT THE TEAM

Anduril's Lattice software platform integrates many sensors into a single cohesive view of the battlefield, providing the context our users need to make better decisions, faster. Perception Engineers on Anduril's Frontier AI team build edge-compatible systems that power these views, transforming complex multi-sensor inputs into accurate, actionable understanding of the world. We integrate ambitious machine learning and computer vision algorithms directly into the Lattice platform to increase the fidelity, accuracy, and usefulness of battlefield awareness. These systems improve the experience of Anduril's existing customers, aid in the scaling of our business to new customers, use-cases, and business lines, and they create high-quality snapshots of the world that autonomous and agentic systems can operate on top of.

WHAT YOU'LL DO

• Design, train, and deploy computer vision and perception models for edge-
  compatible, mission-critical environments
• Build multi-sensor perception systems that fuse imagery, video, and other sensor
  data into coherent views of the battlefield
• Improve the fidelity, accuracy, and robustness of Lattice's understanding of objects,
  activities, and environments across varied operational conditions
• Integrate state-of-the-art machine learning algorithms into production systems used
  by customers in real-world scenarios
• Develop mission-relevant evaluation frameworks, datasets, and benchmarks to
  measure perception performance in the field
• Partner closely with software, autonomy, product, and deployment teams to turn
  research ideas into operational capabilities
• Identify new perception and battlefield-understanding problems where advances in
  computer vision can unlock major product impact

REQUIRED QUALIFICATIONS

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Machine
  Learning, or a related technical field
• 5+ years of experience developing computer vision, perception, or machine learning
  systems in production or advanced research settings
• Strong experience with deep learning, object detection, and object tracking
  frameworks
• Strong programming skills in Python, with the ability to build reliable research and
  production workflows
• Strong desire to invent, implement, test, and deploy novel techniques that vastly
  improve upon state-of-the-art public methods to solve research problem specific to
  the defense space
• Experience training, evaluating, and iterating on vision models for detection, tracking,
  segmentation, classification, or sensor fusion tasks
• Experience deploying or optimizing ML systems for constrained, real-time, or edge
  compute environments
• Ability to work across the full lifecycle of applied ML, from problem formulation and
  data strategy through deployment and performance monitoring
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Advanced degree with a focus on computer vision, perception, robotics, or machine
  learning
• Experience with multi-modal or multi-sensor fusion systems
• Experience deploying deep learning models to embedded, edge, or air-gapped
  environments
• Familiarity with real-time perception systems for autonomous platforms, defense
  applications, or other safety-critical systems
• Experience building large-scale datasets, labeling pipelines, or benchmarking
  infrastructure for vision systems
• Experience working in high-ownership startup environments or defense technology
  organizations
• Prior experience with geospatial, ISR, EO/IR, radar, or other battlefield-relevant
  sensing modalities

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 Software Engineer in the Discovery team, you will tackle a diverse range of challenges in networking, autonomy, systems integration, robotics, and more. Your work will ensure seamless integration of Anduril products to achieve critical outcomes. You will work on a fast paced team and have opportunities to watch your creations operate in fielded deployment environments. Above all, Software Engineers at Anduril must embody a “Whatever It Takes” mindset—executing tasks expediently, scalably, and pragmatically while prioritizing the mission. You will make sound engineering decisions to deliver high-quality outcomes on time. In addition to building the software, you will work directly with customers to deploy it.

WHAT YOU’LL DO

• Work on challenging problems in a fast-paced environment from across our portfolio of programs and products
• Standing up the infrastructure, simulation solutions, and integrations for agent development
• Create data analysis and validation workflows
• Collaborate closely with customers, product designers, researchers, and other engineering teams to shape and build new software products and applications, optimizing for maximum value to the end user.
• Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions for agent training
• Identify problems; solve them: implement robust, high-quality solutions

REQUIRED QUALIFICATIONS

• Bachelor’s Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline
• 3 - 8+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Hands-on experience with Docker for building and managing containerized applications, deploying and scaling services on Kubernetes clusters, and configuring CI/CD pipelines
• 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

• Demonstrated experience in machine learning training infrastructure and deployments
• Expertise in virtualization and containerization technologies
• Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems

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

Anduril’s Discovery business line is seeking a talented Systems Engineer to join our rapidly growing team in Washington, DC. In this role, you will be responsible for managing Architecture & Requirements for next generation air and missile defense systems. You will be ensuring requirements and architecture traceability through test and evaluations critical to the fire-control certification processes. If you are someone who thrives in a fast-paced, dynamic environment and has a passion for contributing to national security, then this role is for you!

WHAT YOU’LL DO

• Interface with stakeholders including internal programs and external customers.
• Assist in developing a robust requirements and architecture management plan.
• Develop artifacts based on stakeholder needs and work closely with functional areas to ensure artifacts are complete and accurate. Model Artifacts will often be contractual deliverables and require demonstration at stakeholder meetings and events.
• This role will be critical proving that Anduril offers real Systems Engineering and Mission Systems Integration capabilities.
• Lead and develop requirements and architecture products that provide full traceability, and configuration is controlled and managed across related Fire-Control programs.
• Participate in the development of our Digital and Systems Engineering Strategy and Implementation.
• Develop a deep understanding of transformational value of Anduril platforms, autonomy, simulation, and perception products through the creation and maintenance of systems engineering artifacts.

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• B.S. in aerospace, mechanical, computer science or similar engineering or technical field.
• 5+ years Systems Engineering Experience across the life cycle. The more, the better.
• Test experience preferably missile defense and space related.
• Understanding of Fire-Control systems and required safety, and hazard mitigation practices.
• Basic knowledge of reliability engineering concepts and practices.
• Experience with systems testing and evaluation methodologies.
• Experience with Systems Engineering, Requirements Elicitation and Management, Integration, and Test Activities on complex systems - DoD Weapon Systems, Space Systems, etc...
• Experience with SysML, DoDAF, UAFP, or similar.
• Experience developing various model based system engineering artifacts - Operational Viewpoints, System Viewpoints, activity diagrams, use case diagrams, BDDs, IBDs, parametric diagrams, etc...
• Experience with Cameo MagicDraw or similar systems engineering software (Rhapsody, SparxEA, etc...).
• Experience with Digital Engineering workflows and Integrated Modeling Environments (i.e. Teamwork Cloud).
• Outstanding communication skills to include presentation of developed artifacts.
• Experience generating and tracking metrics.
• Experience creating and improving processes.

PREFERRED QUALIFICATIONS

• Experience with modeling of weapon systems, and threat scenarios.
• Knowledge of reliability prediction techniques and failure mode analysis.
• Experience with test planning, execution, and data analysis for complex systems.
• Experience Cameo Simulation Toolkit plugin for Cameo MagicDraw.
• Experience with AFSIM, and Model Based Systems Engineering integrations.
• Proficiency with Mathworks products (MATLAB, SIMULINK etc.).

ABOUT THE TEAM

Anduril Intelligence Systems (AIS) is focused on positioning Anduril as a lead provider of specialized engineering and next generation national security products for Intelligence Community (IC) customers and partners worldwide. We work with the IC and international partners to understand their requirements, shape their concepts of operation, and deliver exquisite capability across their problem set. We aim to develop and deploy critically needed capabilities that address our customers’ most pressing national security requirements.

ABOUT THE JOB

At Anduril, our Software Engineers are at the forefront of defense technology, crafting high-impact, cutting-edge solutions that redefine innovation. We are looking for experienced Software Engineers who will assist in driving, developing, and deploying unique Anduril products and capabilities to international customers. You'll dive into a diverse range of projects, partnering with brilliant minds across disciplines to engineer robust software systems that empower our mission-critical operations. We're seeking talented generalist software engineers on to contribute to projects that are shaping the future of defense.

WHAT YOU’LL DO

• Develop and maintain distributed systems that underpin Anduril's advanced defense technology applications.
• Design and implement core infrastructure and platform services that enable other engineers to scale their output
• Build and maintain backend and web development frameworks and networking solutions
• Assist in developing Anduril capabilities for international partners/markets
• Integrate model/software/hardware-in-the-loop components using first and third-party technologies
• Collaborate with team members and partners in the autonomy domain
• Create technologies and processes that enable users to safely and rapidly develop and deploy autonomous systems at scale
• Participate in technical design reviews and system architecture discussions
• Implement and maintain monitoring, logging, and data management solutions

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• 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
• Ability to travel up to 25% to both domestic and international locations, as needed
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience building or inventing something: an app, a website, game, or startup
• Professional software development lifecycle experience using tools such as version control, CI/CD systems, etc.
• Experience building scalable backend software systems with various data storage and processing requirements
• Experience with industry standard cloud platforms (AWS, Azure) and software infrastructure fundamentals
• Ability to quickly understand and navigate complex systems and established code bases
• Experience with modern build and deployment tooling (e.g., NixOS, Terraform)
• Experience designing complex software systems and iterating upon designs via technical design reviews
• Familiarity with industry standard monitoring, logging, and data management tools and best practices

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Computer Vision Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles.  This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

REQUIRED QUALIFICATIONS

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Computer Vision Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles.  This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

REQUIRED QUALIFICATIONS

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Senior Computer Vision Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles.  This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

REQUIRED QUALIFICATIONS

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Senior Computer Vision Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles.  This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core libraries and runtime applications
• Integrate classical and geometric methods in computer vision with ML methods
• Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

REQUIRED QUALIFICATIONS

• MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
• High proficiency in C++ development in a Linux environment
• Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
• Ability to quickly understand and navigate complex systems and detailed requirements
• Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
• Clear communication and organizational skills including documentation and training material
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
• A desire to work on critical software and hardware designs in the space domain
• Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
• Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
• Experience with orbital mechanics and resident space object tracking capabilities
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

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 Staff Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Software, Mission Operations, Hardware Engineering and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of defense missions.

This role is directly tied to ongoing, funded programs within Anduril’s Discovery Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• Strong domain experience in fields like missile defense, Space, radar, sensor fusion, etc. 
• Proven track record of independently owning and executing program deliverables with little to no management
• Outstanding communication skills to include visual presentation of complex data
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 10+ years in a relevant Science/Engineering field
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Strong background in orbital mechanics and space environment
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Proficiency with AFSIM
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

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

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 Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a GNC (Guidance, Navigation & Control) Engineer for our Space team, you will work on and understand the design of all satellite GNC subsystems to include but not limited to hardware sensors and actuators, orbit mechanics, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. The GNC Engineer will work algorithm design, truth and physics modeling, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Work spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with bus providers for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the GNC system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints.
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems.
• Design of flight software, algorithms, and simulation products.
• Development of spacecraft autonomy tools for dynamic space operations
• Test process development and execution.
• Define automated fault detection and responses.
• Provide hardware-in-the-loop and monte-carlo simulation capabilities.

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree. 
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems. 
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft attitude determination and controls
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.
• Clear communication and organizational skills including documentation and training material.
• Must be eligible to obtain and maintain an active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with MATLAB, Simulink, Python, Go, C++ and/or Linux systems.
• A desire to work on critical software and hardware designs in the space domain.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime.
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios.
• Experience with computer vision and perception algorithms to support GNC operations.
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a GNC (Guidance, Navigation & Control) Engineer for our Space team, you will work on and understand the design of all satellite GNC subsystems to include but not limited to hardware sensors and actuators, orbit mechanics, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. The GNC Engineer will work algorithm design, truth and physics modeling, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Work spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with bus providers for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the GNC system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints.
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems.
• Design of flight software, algorithms, and simulation products.
• Development of spacecraft autonomy tools for dynamic space operations
• Test process development and execution.
• Define automated fault detection and responses.
• Provide hardware-in-the-loop and monte-carlo simulation capabilities.

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree. 
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems. 
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft attitude determination and controls
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.
• Clear communication and organizational skills including documentation and training material.
• Must be eligible to obtain and maintain an active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with MATLAB, Simulink, Python, Go, C++ and/or Linux systems.
• A desire to work on critical software and hardware designs in the space domain.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime.
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios.
• Experience with computer vision and perception algorithms to support GNC operations.
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Sr. GNC (Guidance, Navigation & Control) Engineer for our Space team, you own the understanding and design of all satellite GNC subsystems to include but not limited to hardware sensors and actuators, orbit mechanics, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. The Sr. GNC Engineer will lead algorithm design, truth and physics modeling, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Lead spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with bus providers for successful implementation.
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives.
• Develop appropriate test plans and procedures to validate the GNC system during ground checkout, on-orbit commissioning and operations.
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints.
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems.
• Directly interact with customers to ensure mission success.
• Design of flight software, algorithms, and simulation products.
• Development of spacecraft autonomy tools for dynamic space operations
• Test process development and execution.
• Define automated fault detection and responses.
• Provide hardware-in-the-loop and monte-carlo simulation capabilities.

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree.
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems. 
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime.
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities.
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, spacecraft attitude determination and controls.
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

• A desire to work on critical software and hardware designs in the space domain.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios.
• Experience with computer vision and perception algorithms to support GNC operations.
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Sr. GNC (Guidance, Navigation & Control) Engineer for our Space team, you own the understanding and design of all satellite GNC subsystems to include but not limited to hardware sensors and actuators, orbit mechanics, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. The Sr. GNC Engineer will lead algorithm design, truth and physics modeling, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking). The Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Lead spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with bus providers for successful implementation.
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives.
• Develop appropriate test plans and procedures to validate the GNC system during ground checkout, on-orbit commissioning and operations.
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints.
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems.
• Directly interact with customers to ensure mission success.
• Design of flight software, algorithms, and simulation products.
• Development of spacecraft autonomy tools for dynamic space operations
• Test process development and execution.
• Define automated fault detection and responses.
• Provide hardware-in-the-loop and monte-carlo simulation capabilities.

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree.
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems. 
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime.
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities.
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, spacecraft attitude determination and controls.
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

• A desire to work on critical software and hardware designs in the space domain.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios.
• Experience with computer vision and perception algorithms to support GNC operations.
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits.

ABOUT THE TEAM 

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Senior Software Engineer on Space Ground Software, you will own the architecture and deployment of software solutions that support customer missions for space operations and mission management. As a Senior Software Engineer, you will develop modular capabilities to support the DoD and IC customers across the space domain. This will involve the architecture of the Space C2 system based on top of the Anduril Lattice software platform, to include infrastructure, algorithms, and integrations to support both orbital and ground systems. The Anduril Space C2 capability development will involve integration with legacy systems that have been part of our nation’s critical defense for decades as well as new space systems being added to the cache of orbital and ground-based capabilities.

We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Own the software solutions that are deployed to customers
• Own the development of Space C2 and Mission Management capabilities to enable delivery of end-to-end mission systems
• Integrate with legacy systems to unlock 21st-century capabilities
• Write code to improve products and scale the mission capability to different users more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• Ability to quickly understand and navigate complex systems and detailed requirements
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including documentation and training material
• Ideally 8+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience with Space C2 software systems and spacecraft operations
• A desire to work on critical software that has a real-world impact
• Currently possesses and is able to maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• Experience with Go, Rust, or C++
• Experience with deployment tooling such as Kubernetes, OpenShift, or Helm
• Previous exposure to space ground hardware like sensors, radars, telescopes
• Previous exposure to space-related simulation and hardware integration
• A desire to work on critical software in the space domain
• Experience with existing space software standards and modular software services development

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Mission Software Engineer on Space Ground Software, you will own the architecture and deployment of software solutions that support customer missions for space operations and mission management. As a Senior Software Engineer, you will develop modular capabilities to support the DoD and IC customers across the space domain. This will involve the architecture of the Space C2 system based on top of the Anduril Lattice software platform, to include infrastructure, algorithms, and integrations to support both orbital and ground systems. The Anduril Space C2 capability development will involve integration with legacy systems that have been part of our nation’s critical defense for decades as well as new space systems being added to the cache of orbital and ground-based capabilities.

We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Own the software solutions that are deployed to customers
• Own the development of Space C2 and Mission Management capabilities to enable delivery of end-to-end mission systems
• Integrate with legacy systems to unlock 21st-century capabilities
• Write code to improve products and scale the mission capability to different users more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• Ability to quickly understand and navigate complex systems and detailed requirements
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including documentation and training material
• 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience with Space C2 software systems and spacecraft operations
• A desire to work on critical software that has a real-world impact
• Currently possesses and is able to maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• Experience with Go, Rust, or C++
• Experience with deployment tooling such as Kubernetes, OpenShift, or Helm
• Previous exposure to space ground hardware like sensors, radars, telescopes
• Previous exposure to space-related simulation and hardware integration
• A desire to work on critical software in the space domain
• Experience with existing space software standards and modular software services development

About the Role

Applied Intuition is redefining vehicle intelligence across commercial and defense sectors. As a Forward Deployed Engineer, your responsibilities will look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high stakes projects. You'll be the technical bridge between Applied Intuition's novel vehicle intelligence platforms and our customers' real-world operational environments.

This role demands both technical depth and operational excellence. You'll primarily work with defense and government customers, integrating our tools, Vehicle OS, and autonomy stacks with DOD platforms in challenging operational environments. The unique advantage: you'll leverage our robust commercial technology and rapidly evolving product suite to deliver capabilities that would take traditional defense contractors years to develop. You'll tackle problems spanning core software engineering, system deployment, hardware integration, and everything in between to ensure mission success.

At Applied Intuition, you will

• Work directly with defense and government customers to deploy, integrate, and operationalize Applied Intuition's vehicle intelligence products in military and government environments, from defense contractors to forward operating bases
• Tackle a broad range of technical challenges, including software engineering, operating system configuration, system deployment, and hardware integration
• Bridge customer-built systems and Applied’s solutions to deliver tangible value
• Design and implement scalable, consistent approaches for customer engagement and project execution
• Develop architectural solutions that improve consistency and scalability across projects
• Collaborate with internal engineering, product, and customer teams to ensure successful outcomes
• Take ownership of technical outcomes and drive projects to completion, adapting to changing requirements and priorities

We're looking for someone who has:

• Strong engineering background, preferred in fields such as Computer Engineering, Computer Science, Electrical Engineering
• Strong coder with demonstrated proficiency in programming languages such as C++, Python
• Broad technical experience across software engineering, operating systems, and some hardware
• Experience supporting integration and deployment of complex systems
• Exceptional problem-solving skills and a proven ability to thrive and innovate independently within highly ambiguous and rapidly evolving operational environments
• Excellent communication skills and focus on solving customer problems 

Nice to have:

• Prior experience working with government customers, defense contractors, or in military environments
• Familiarity with system architecture and designing scalable solutions
• Experience in defense, automotive, robotics, or adjacent industries

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams at MongoDB

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263333172

Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Recorded Future provides intelligence that 1,500+ clients use to defend their people and networks from cybersecurity threats. Our intelligence data provides analytics for many security and risk management needs. This data is derived from technical data, threat actor monitoring, social media, open sources, and other data sources. In this role, your mission is to design, build, and deploy the next generation of AI Agentic systems that process and enrich this intelligence data autonomously.

In this Senior Software Engineer role, you will be a key individual contributor, driving the development of resilient, scalable software systems focused on leveraging Large Language Models (LLMs) and autonomous agents for data processing, analysis, and threat detection. You will be responsible for building sophisticated, production-grade applications that enrich our threat intelligence, and you will mentor junior engineers, fostering technical excellence and best practices.

What You’ll Do:

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in the implementation of frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

What You’ll Bring:

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

The base salary range for this full-time position is $129,000- $193,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

ABOUT THE TEAM

Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.

ABOUT THE JOB

WHAT YOU’LL DO

• Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
• Architect and implement defensive security controls for cloud, production, and corporate environments
• Support the deployment, configuration, and maintenance of security tools
• Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
• Independently drive security initiatives and foster a security-first mindset across the organization
• Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design

REQUIRED QUALIFICATIONS

• Experience with routing, switching, and network design principles
• Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
• Experience conducting security architecture or design reviews for OT/ICS environments
• Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
• Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
• Experience developing and implementing defensive controls in corporate and industrial production environments
• Ability to work autonomously and take ownership of complex projects
• Have participated in or supported incident response events
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Ability to travel up to 50%

PREFERRED QUALIFICATIONS

• Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
• Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
• Experience building bespoke solutions in high-growth high-complexity network environments
• Strong experience with Linux operating systems

ABOUT THE TEAM

Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.

ABOUT THE JOB

WHAT YOU’LL DO

• Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
• Architect and implement defensive security controls for cloud, production, and corporate environments
• Support the deployment, configuration, and maintenance of security tools
• Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
• Independently drive security initiatives and foster a security-first mindset across the organization
• Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design

REQUIRED QUALIFICATIONS

• Experience with routing, switching, and network design principles
• Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
• Experience conducting security architecture or design reviews for OT/ICS environments
• Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
• Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
• Experience developing and implementing defensive controls in corporate and industrial production environments
• Ability to work autonomously and take ownership of complex projects
• Have participated in or supported incident response events
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Ability to travel up to 50%

PREFERRED QUALIFICATIONS

• Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
• Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
• Experience building bespoke solutions in high-growth high-complexity network environments
• Strong experience with Linux operating systems

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 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

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This is a fully remote position. We are looking for someone based in the Seattle area who is able to visit customers in their territory.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The scope includes cryptographic protocol design, hardware root-of-trust architectures, secure communication for autonomous and robotic systems, operating system hardening, and distributed security infrastructure across embedded, edge, and cloud environments.

Job Description

We're looking for a principal-level engineer to serve as a technical leader for platform security across Anduril. This role combines deep expertise in cryptography, systems security, and secure architecture with the ability to drive security strategy across business lines and the platform. You'll own the design of Anduril's most critical security systems — cryptographic infrastructure for autonomous platforms, hardware root-of-trust architectures for robotic systems, secure communication protocols for contested environments — and you'll set the technical direction that shapes how security is built into every product. This is a role for someone who has designed and shipped security systems at the intersection of hardware, firmware, and software, and can lead others through complex technical decisions with lasting consequences.

Key Responsibilities

• Own the technical vision and architecture for platform security across Anduril's product ecosystem
• Design cryptographic systems, protocols, and key management architectures for autonomous and robotic platforms operating in contested and disconnected environments
• Lead the design of hardware root-of-trust architectures integrating TPMs, TEEs, HSMs, and secure boot across diverse embedded platforms
• Drive the strategy for promoting business-line security implementations into shared, composable platform services
• Serve as the senior technical authority for security architecture reviews across the organization, providing definitive guidance on cryptographic design, protocol security, and system hardening
• Define security patterns, reference architectures, and engineering standards that enable teams across Anduril to build securely and independently
• Mentor and develop senior engineers on the team, raising the bar for security engineering across the organization
• Represent Anduril's security engineering capabilities to customers, partners, and auditors when deep technical credibility is required
• Evaluate emerging threats, cryptographic standards, and security technologies, driving adoption where they strengthen the platform

Required Qualifications

• 12+ years of experience in software engineering, with significant depth in systems security and cryptography
• Expert-level knowledge of cryptographic protocol design, including key management architectures, certificate systems, and cryptographic agility
• Deep experience with hardware security: TPM, TEE, HSM, secure boot, and hardware root-of-trust design across multiple platform types
• Proficient in two or more of: C++, Rust, Go
• Experience designing security architectures for embedded, real-time, or robotic systems with constrained environments
• Track record of leading cross-organizational technical initiatives and driving architectural decisions that span multiple teams
• Strong ability to communicate complex security concepts to engineering leadership, product teams, and external stakeholders
• Experience performing and leading threat modeling, security architecture reviews, and cryptographic design reviews
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with post-quantum cryptography, distributed key generation (DKG), or threshold cryptographic schemes
• Background in defense, aerospace, or autonomous systems with exposure to FIPS 140, Common Criteria, or NSA CSfC requirements
• Experience designing secure communication protocols for autonomous platforms or mesh networks
• Deep knowledge of Linux kernel security, mandatory access controls (SELinux/AppArmor), and OS hardening at scale
• Experience building and evolving platform security services consumed by dozens of teams
• Familiarity with compliance frameworks (STIGs, NIST 800-53, CMMC) and translating them into engineering controls that don't compromise developer velocity
• Publications, patents, or recognized contributions in cryptography or systems security
• Experience with Nix build systems and reproducible build pipelines for security-critical software

ABOUT THE TEAM:

ArsenalOS is the digital backbone of Anduril’s hardware enterprise. It connects the full lifecycle, from concept to build to field feedback, into one operating environment built for speed, traceability, autonomy, and continuous improvement. That environment includes not just the software used to design, plan, and execute work, but also the factory-facing infrastructure that connects operators, machines, test systems, and OT networks into the same adaptive Build Chain. It is not a support function, but rather a strategic investment by Anduril that the operating system of the hardware lifecycle is how we win. It will be one of the mechanisms by which Anduril out-builds, out-adapts, and out-scales the traditional defense industrial base.

ABOUT THE JOB:

We are looking for a Staff Software Engineer to join our QualityOS team within Forge MES (Manufacturing Execution System). As a Staff Engineer, you will set the technical direction and architectural standards. You'll architect and implement mission-critical distributed systems that scale Anduril's manufacturing operations while maintaining the technical bar for reliability, performance, and maintainability.

Your impact will span beyond the immediate team. You'll serve as a technical bridge between the QualityOS product team and our Platform/Foundations organization, ensuring we build on solid infrastructure while influencing platform capabilities to meet manufacturing needs. You'll represent the quality domain in broader MES architectural decisions, contributing to technical strategy that affects multiple product teams.

We're looking for someone who combines deep technical expertise with strong collaborative instincts—someone who can dive into complex distributed systems, establish patterns that others follow, and drive consensus across engineering teams. You'll balance hands-on technical execution on critical features with raising the technical standards of the team through architecture reviews, code quality, and operational excellence. Your decisions will have lasting impact on how Anduril scales manufacturing quality systems into a next-generation defense company.

WHAT YOU'LL DO

Technical Architecture & Execution:

• Define and drive technical architecture for QualityOS - make decisions on system design, scalability patterns, integration strategies, and platform vs. build tradeoffs that shape team execution
• Architect and implement complex distributed systems - build mission-critical services, APIs, and tooling that enable safe, fast delivery across manufacturing quality workflows
• Lead by example with engineering excellence - establish patterns through hands-on work: comprehensive testing, deployment safety (blue/green/canary), infrastructure as code, observability, and operational rigor

Cross-Team Influence & Collaboration:

• Bridge product and platform teams - collaborate with Platform/Foundations to shape shared infrastructure based on QualityOS needs while driving adoption of platform capabilities
• Partner across MES product teams - integrate QualityOS into cohesive manufacturing experiences, evolve data models across quality/production domains, and drive technical consensus on cross-cutting concerns
• Represent quality domain technically - work with architecture, security, operations, and infrastructure teams to ensure quality requirements influence broader technical decisions

Team & Technical Standards:

• Raise the technical bar for the team - through rigorous code review, architecture discussions, establishing shared ownership models, and improving practices that balance velocity with correctness
• Remove friction and unblock execution - identify systemic technical issues, eliminate single points of failure, and create leverage through automation and improved tooling

REQUIRED QUALIFICATIONS

• 12+ years of experience in a software engineering role building products in fast-paced environments
• Proven ability to influence technical direction across teams - drive architectural consensus, build alignment, and lead technical initiatives beyond a single team
• Experience working with large enterprise applications and platforms with high availability requirements
• Strong full-stack capabilities with expertise in modern web technologies - JavaScript/TypeScript, React, and web frameworks (Next.js, Remix, etc.)
• User-focused engineering mindset - ability to translate user needs into technical solutions while balancing user experience with engineering constraints
• Excellent communication skills, able to influence stakeholders, translate ambiguous requirements and build cross-team alignment.
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS

• We encourage people from all backgrounds to apply but our tech stack uses AWS, Typescript, and React/Remix so familiarity with all of these tools will be particularly helpful
• Experience in hyper growth startup-like environments. Demonstrated successes in scaling and maturing software development processes, team culture and methods, and ability to balance short-term and long-term trade offs
• Manufacturing/quality domain knowledge - experience with quality management systems (QMS), manufacturing execution systems (MES), or incident management platforms
• Experience in defense, autonomy, robotics, or mission-critical systems (helpful but not required)
• Experience with AI/LLM integration - leveraging state-of-the-art models and agentic tooling in production software development
• Eligible to obtain and maintain a U.S. TS/SCI clearance

About the Warfighter Systems Team:

The Warfighter Systems team is at the forefront of developing groundbreaking augmented reality wearable technology, specifically building our EagleEye product; a helmet and glasses system designed to keep soldiers alive during combat situations. Our mission is to create a product that is not just worn, but an integrated extension of the user, operating with the precision and responsiveness a soldier needs. We are deeply focused on minimizing system latency, ensuring every interaction is instantaneous and reliable. Join us on the bleeding edge of intelligent, efficient, and resilient AR wearable devices, and help our service members succeed in any situation!

Responsibilities:

As a Staff Systems Engineer on the EagleEye team, you will play a pivotal role in shaping the performance and power characteristics of our cutting-edge AR wearable products. Your day-to-day will span from architectural definition through to execution, requiring a hybrid skillset bridging hardware and software. Your key responsibilities will include:

• Lead the evaluation and selection of next-generation silicon architectures by collaborating closely with Independent Hardware Vendors (IHVs), providing critical technical feedback on their silicon designs.
• Partner with Platform Software Engineers to drive system-level optimizations for power, performance, and latency across the entire product stack.
• Conduct in-depth analysis and optimization of battery life and thermal design power tradeoffs to deliver a comfortable, long-lasting, and high-performing wearable experience.
• Drive continuous improvement initiatives for system power efficiency and performance from initial concept through to final product deployment.
• Perform deep-dive root cause analysis for complex system performance and power issues, identifying solutions, and independently prioritizing efforts based on customer needs and engineering risk.
• Develop and implement rigorous profiling methodologies to identify bottlenecks and areas for optimization at various system levels.
• Collaborate cross-functionally with hardware, software, product, and other engineering teams to integrate solutions and ensure holistic system success.
• Contribute to defining architectural requirements and specifications, translating product vision into technical execution.

Required Experiences:

• 10+ years of experience in system-level power and performance engineering, with a strong focus on System-on-Chip (SoC) architectures.
• Deep understanding of silicon chip architectures, including CPU, GPU, DSP, and memory subsystems, and how they interact to impact overall system performance and power.
• Proven expertise in SoC performance tuning, optimization techniques, and power management strategies.
• Proficiency with industry-standard system profiling tools and methodologies, especially within Android operating environments and on Qualcomm chipsets.
• Strong command of lower-level software, including kernel and driver analysis, and a solid understanding of operating system concepts.
• Demonstrated ability to effectively bridge hardware and software engineering disciplines, understanding implications across the stack.
• Experience finding and solving complex engineering problems independently, while effectively balancing customer needs with technical risks.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
• Eligibility to receive and maintain a United States security clearance.

Nice-to-Have Experiences:

• Experience with Microcontrollers (MCUs) or sensor aggregation architectures, including Digital Signal Processors (DSPs).
• Familiarity with various sensor types and their integration into low-power, high-performance embedded systems.
• Prior experience working with Augmented Reality wearable devices or other ultra-low-power consumer electronics.

P24627_3360214

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426187

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1273362479

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273362664

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Third Shift, in which your working hours would be 8pm-5am PST. There is a desired commitment to this shift though applicants must have the flexibility to work a more typical schedule (12pm-9pm PST) during their ramping period (between 6 to 9 months) before transitioning to Third shift.

Weekend Shift: We are looking to speak to candidates who are interested in working out of our West Coast offices under our flexible or remote working models, Monday to Friday for the first 6-9 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday to Sunday work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators.

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!