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Security Technology Deployment Specialist Jobs

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Explore current security technology deployment specialist jobs. Use filters to narrow by work mode, employment type, experience and date posted.

MI
Mach Industries
📍 Huntington Beach• $125K – $160K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Software Engineer, Mission Autonomy to develop the software that translates mission objectives and operator goals into reliable autonomous behavior. You will design and implement mission-planning, decision-making, task-execution, and contingency-management capabilities for Mach’s autonomous aerial platforms. Your work will connect high-level mission intent with vehicle autonomy, flight software, perception, communications, payloads, and ground-control systems. This is a broad software-engineering role for someone comfortable working across system boundaries. You should be able to write production-quality C++ and Python, reason about complex autonomous behavior, debug integrated software and vehicle systems, and take capabilities from initial concept through simulation, flight test, and operational deployment. Key Responsibilities Design, implement, test, and deploy mission-autonomy software using modern C++ Use Python to develop tooling for analysis, simulation, test automation, and mission evaluation. Develop software for mission planning, task sequencing, behavior orchestration, state management, and autonomous mission execution. Build decision-making and contingency-management systems that respond appropriately to

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MI
Mach Industries
📍 Huntington Beach• $165K – $220K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role The Sr Embedded Software Engineer - Radar & DSP will play a key role in developing advanced RF sensing capabilities for Mach’s autonomous defense platforms. You will be responsible for designing, implementing, and optimizing radar software across the full development lifecycle; from algorithm prototyping to embedded deployment. This role involves close collaboration with cross-functional teams to ensure high-performance, low-latency radar systems that meet mission-critical requirements. Success in this role requires strong technical execution, adaptability, and a hands-on approach in a fast-paced, iterative environment. Key Responsibilities Develop, test, and implement radar software for RF sensing technologies ensuring high performance and reliability. Build next generation counter UAV systems through hands on application of radar defense systems to defend human lives, critical infrastructure, and high value assets for the United States and its allies Design and implement efficient, well-tested code in C++, Python or C. Work closely with other engineers to ensure seamless hardware-software integration. Develop and maintain signal processing algorithms tailored for RF sensing systems, ensuring real-time performance and low-latency

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MI
Mach Industries
📍 Huntington Beach• $120K – $160K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role The RF Firmware Engineer will play a key role in developing advanced RF sensing capabilities for Mach’s autonomous defense platforms. Working on the DART team, you will focus directly on next-generation counter-UAV radar systems and RF seekers. You will be responsible for designing, implementing, verifying and optimizing the embedded firmware that controls the RF front-end of Mach’s RF seeker across the full development lifecycle - bare-metal board bring-up to final deployment. This role involves close collaboration with cross-functional teams that include antenna and RF hardware engineers to ensure the entire radar RF front-end system meets the mission-critical requirements. Success in this role requires strong technical execution, adaptability, and a hands-on approach in a fast-paced, iterative environment. Key Responsibilities Mission : Build next generation counter-UAV defense systems that will be used to defend human lives, critical infrastructure, and high value assets for the United States and its allies. Firmware development : Write high-performance, bare-metal C/C++ firmware for resource constrained microcontrollers powering the RF front-end boards in Mach’s radar products. Hardware co-design : Work with hardware engineers on component

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MI
Mach Industries
📍 Huntington Beach• $120K – $160K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing are unavailable or unreliable. As a Machine Learning Engineer, you will own and scale the training, data, and edge-inference backbone that every vision and multi-sensor model on our product lines depends on for detection, tracking, search, navigation, targeting, and automatic target recognition. This is a broad, high-ownership role: you'll stand up the data and training infrastructure that lets the autonomy team iterate fast, generate synthetic data to cover the long tail, and get research-grade models running in real time on embedded hardware in flight. We are generalists, so you'll move fluidly between infrastructure, modeling, and deployment. Key Responsibilities Own and evolve the training and data infrastructure the autonomy team builds on: ingestion from flight/sim/HITL, curation and mining, labeling/QA workflows, dataset versioning (DVC/Parquet), and reproducible dataset builds. Stand up and scale training/eval infrastructure: distributed multi-GPU training, experiment tracking, a model registry, and CI-based evaluation with regression gates plus automated field-data to retrain to validate to redeploy loops. Deploy and opt

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MI
Mach Industries
📍 Huntington Beach• $125K – $160K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI-forward autonomy stack for contested environments where GNSS and other sensing may be unavailable, degraded, or denied. As an Autonomy Software Engineer, you will design, build, and deploy the software systems that power perception, localization, navigation, planning, and mission autonomy across our product lines. This is a broad role for engineers who are deeply technical in one domain and highly effective across adjacent ones. You may come from estimation, perception, machine learning, embedded systems, or planning, but you are excited to work across the autonomy stack and deliver real capability from prototype to fielded system. Key Responsibilities Design, implement, and ship production autonomy software in modern C++ on Linux, with Python for tooling, analysis, and ML workflows. Build and integrate capabilities across perception, localization, sensor fusion, navigation, planning, and embedded inference. Take systems from prototype through simulation, software-in-the-loop, hardware-in-the-loop, flight test, and deployment. Analyze logs, simulation results, and test data to debug failures, improve robustness, and drive rapid iteration. Develop evaluation pipelines, metrics, and tooling for accuracy, lat

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MI
Mach Industries
📍 Victorville• $25 – $34/hr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Energetics is seeking a Propulsion Test Technician to support the development, integration, and testing of next-generation propulsion and energetic systems for advanced defense applications. In this role, you will work directly on propulsion hardware and test infrastructure that enable rapid development, validation, and deployment of mission-critical systems. Key Responsibilities Set up, operate, troubleshoot, and maintain propulsion test stands and associated ground support equipment, including high-pressure gas systems (GN2, GHe), pneumatic systems, and hydraulic infrastructure. Assemble, integrate, and test propulsion hardware including rocket engines, valves, regulators, feed systems, tubing, and propellant lines for development and qualification testing. Execute proof pressure, burst, leak, and flow testing procedures to validate propulsion hardware performance and structural integrity. Install, route, and calibrate instrumentation including pressure transducers, thermocouples, load cells, and other sensors used during propulsion test operations. Interface with data acquisition (DAQ) systems to support test setup, sensor verification, and collection of accurate test data during operations. Support hot-fire and cold-flow test campaigns

MI
Mach Industries
📍 Victorville• $80K – $140K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Energetics is seeking a Propulsion Test Engineer to support the planning, execution, and analysis of next-generation propulsion and energetic systems for advanced defense applications. In this role, you will work directly on propulsion hardware, test infrastructure, and data-driven test campaigns that enable rapid development, validation, and deployment of mission-critical systems. You will serve as the bridge between design and flight, ensuring propulsion systems perform reliably under extreme operating conditions. Key Responsibilities Test Design & Setup: Design and maintain propulsion test stands and ground support systems used to secure engines during static fire and development testing. Execution: Lead and support test campaigns ranging from component-level testing (valves, regulators, feed systems) to full-scale integrated rocket engine hot-fire operations. Data Analysis: Use high-speed sensors and instrumentation to collect and analyze pressure, temperature, and thrust data to validate performance against specifications. Safety & Operations: Execute and oversee hazardous operations involving high-pressure systems and cryogenic propellants such as liquid oxygen (LOX), ensuring strict safety compliance and operational disciplin

MI
Mach Industries
📍 Huntington Beach• $110K – $140K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role We are seeking an experienced Production Supervisor to lead day-to-day manufacturing operations supporting the build of composite airframe structures and unmanned aircraft systems (UAS) . This role is responsible for supervising technicians, driving execution to the production schedule, and ensuring all work is performed safely, efficiently, and in compliance with engineering, quality, and configuration control requirements. The ideal candidate is a hands-on leader with experience in aerospace manufacturing environments involving composite fabrication, structural assembly, and final integration of flight hardware. This person must be capable of balancing schedule, quality, and safety while maintaining strict process discipline across airframe production and UAS assembly operations . The Production Supervisor will play a critical role in scaling production capacity, developing frontline talent, and delivering reliable hardware ready for test and deployment. Key Responsibilities Lead daily production activities across composite fabrication, airframe assembly, subassembly integration, avionics, and final vehicle build operations Supervise, coach, and develop technicians and lead technicians to ensure strong technical execution, accountability, and

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MI
Mach Industries
📍 Huntington Beach• $125K – $160K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role We’re hiring our first DevOps Engineer to build and own the infrastructure layer that powers everything we do — from developer velocity to production uptime. You’ll design, implement, and maintain the systems and tooling that keep our software lifecycle secure, scalable, and fast. This is a foundational hire: you’ll be given wide technical latitude and trusted to help shape our DevOps culture, tooling, and long-term approach to reliability and automation. We're looking for someone who loves enabling engineering teams through thoughtful infrastructure design, has strong opinions about CI/CD and observability best practices, and thrives in a high-trust, fast-paced environment. Key Responsibilities Build and maintain Github CI/CD pipelines to accelerate developer velocity and minimize deployment risk. Architect and manage cloud infrastructure (AWS) for high availability, scalability, and security. Monitor and improve system observability: logging, metrics, alerting, on-call response. Collaborate with software and hardware teams to support test infrastructure, simulation environments, and production deployments. Lead the implementation of best practices in infrastructure security and cost optimization. Establish incident response protocols and suppo

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OpenAI
📍 San Francisco• Full-time• Remote• $251K – $278K/yr
3mo ago

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact – not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or Seattle office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embed with our most sophisticated and technical platform customers,

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About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Daily tasks managing and administering AWS services including, ECS, IAM, RDS, Lambda and API Gateway; Identify and implement tools to improve existing environments (CI/CD, monitoring, logging); Write Terraform code to automate the deployment of infrastructure and services as needed; Interact with fellow engineers assisting to deploy and support applications through the development lifecycle; Train and mentor fellow engineers in best practices utilizing DevOps practices; Participate in production application support and on-call support; Manage a queue of backlog activities with varying degrees of priorities. Requirements: 4+ years of experience architecting and deploying AWS infrastructure; Ability to write modular Terraform code for creation of AWS infrastructure; Understanding of core DevOps and CI principles; Experience with CI software (e.g Jenkins, GitHub Actions) for deployment automation; Ability to code in Python or NodeJS or Bash for task automation; Ability to triage on incident response teams; Knowledge of security best practices around networking and applications; Understanding about Docker container management and deployments; Customer Service skills with a focus on supporting engineering teams; Fluent in English and Latvian. Nice to have: Knowledge and experience utilizing AWS CI services (CodeDeplo

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OpenAI
📍 Washington• Full-time• Remote• $207K – $385K/yr
12mo ago

About the Team Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector. You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact. From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most. This role is based in Washington D.C., San Francisco, CA or Seattle, WA. Occasional travel to customer sites is required for this role. This position requires U.S. person status as defined by the applicable government contract. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers. Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments. Talk to users to understand their problems and design solutions to address them Work with the research team to get relevant feedback and iterate on their latest mo

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OpenAI
📍 Washington• Full-time
12mo ago

About the Team Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector. You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact. From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most. This role is based in Washington D.C., San Francisco, CA or Seattle, WA. Occasional travel to customer sites is required for this role. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers. Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments. Talk to users to understand their problems and design solutions to address them Work with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data

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12mo ago

About the Team The Applications Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. In this role, you will: Design and build the development and production platforms that power our products, enabling reliability and security at scale Ensure our infrastructure can scale to the next order of magnitude Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: Have 5+ years building core infrastructure Have experience operating orchestration systems such as Kubernetes at scale Have experience building abstractions over cloud platforms Take pride in building and operating scalable, reliable, secure systems Are comfortable with ambiguity and rapid change About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and

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OpenAI
📍 San Francisco• Full-time• Remote• $235K – $385K/yr
37mo ago

About the team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Implement robust and fault-tolerant systems for data ingestion and processing. Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear. Ensure the security, integrity, and compliance of data according to industry and company standards. You might thrive in this role if you: Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering). Proficiency in at least one programming language commonl

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