Hardware Security Engineer Intern Jobs

What you’ll do Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability. Own core runtime foundations: distributed control, state management, fault handling, and reliability. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints). Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress. What we’re looking for Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products. Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering). Track record of shipping systems that are observable, debuggable, and resilient. Strong technical leadership: clarity, pragmatic trade-offs, and mentoring. Useful experience Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling. High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review. Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior. Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI. Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE 1touch.io is a technology company focused on automated, real-time discovery, mapping, and tracking of sensitive personal data. Its AI-powered platform helps enterprises improve data privacy, security, and governance across complex on-premises and cloud environments. Together, 1touch.io and Everpure transform enterprise data from passive storage into an intelligent, context-aware, and governed foundation - making it AI-ready at the source so organizations can securely understand, trust, and activate their data at scale. As a Mainframe Software Engineer, you will help design, develop, and modernize core data discovery and scanning capabilities across enterprise systems. You will focus on a Java-based mainframe agent running on IBM z/OS, enabling scalable access to critical mainframe data sources while supporting the modernization of legacy implementations. Working within a broader Java engineering team, you will contribute to cross-platform solutions, share mainframe expertise, and help evolve modern platform capabilities and architecture. WHAT YOU'LL DO Design, develop, and maintain a Java-based agent running on IBM z/OS systems. Build capabilities to scan and interact with mainframe technologies, including VSAM, QSAM, IMS, DB2, flat files, and system-level resources. Design, implement, and support scalable software solutions from development through production operations. Build and maintain scalable microservices

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are actively looking for a talented software engineer to join the Infrastructure team with a focus on improving Engineering Productivity, specifically our Bazel and C++ infrastructure. Example projects include optimizing Bazel, extending and onboarding services to Bazel, improving C++ support through Bazel and our entire infrastructure. This will have a cross-company impact allowing engineers to quickly iterate locally on microservices and firmware. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA (with flexibility to work from home). What You'll Do Make every engineer’s day-to-day productive and enjoyable! Define engineering tooling roadmap Own Kubernetes deployment and development tooling Build various software and hardware testing frameworks Provide technica

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. This role is based in San Francisco, CA. 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: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security. Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient. Partner with researchers to deeply understand requirements and translate them into production-ready systems. Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. You might thrive in this role if you: Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. Are detail-oriented and bring rigor to building and maintaining reliable systems. Demonstrate excellent software enginee

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. We're only getting started in Bengaluru, India - and are currently in the process of setting up 10 new teams from scratch ! Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform. We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer in the Observability team , you will develop observability solutions that provide insights into the health and performance of our products and infrastructure. The impact you'll have: Establish standards for logging, metrics, and tracing. You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing. You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting. Ensure the scalability

P-940 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Below are some example teams you can join: Data Science and Machine Learning Infrastructure: Build services and infrastructure

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We're focused on hiring embedded software engineers that understand not only the lower-level systems, but also how everything integrates together from the hardware to the UI. You’ll be working closely on one side with our hardware vendors and ME/EE people, and on the other side with server and UI engineers, industrial designers, and our operations team. If you’re looking for a fast-paced environment where your work is regularly shipping to customers and improving people’s safety, this is the place for you! What You'll Do Develop features for Linux embedded platforms - access control, intercoms, alarms Bring up and integrate the full stack: build system, kernel, drivers and userspace on real hardware Develop userspace applications Debug across the stack Define architecture and design new features Build prototypes and proofs of

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We’re looking for an embedded software engineer passionate about the full camera stack to help build a best-in-class imaging system. In this role, you will design and implement core imaging system components and algorithms—including autofocus, auto-exposure, image quality, and system stability—while partnering closely with hardware and computer vision teams to push the boundaries of camera performance. You will evaluate system behavior through lab and field testing, deliver data-driven insights, and contribute to features that define our next-generation camera capabilities. This is a high-impact, hands-on role for someone excited to shape the future of camera systems. What You'll Do Design and implement camera software across the imaging stack (e.g., 3A algorithms, camera pipeline configuration, sensor drivers) primarily in C++ and

P-940 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Below are some example teams you can join: Data Science and Machine Learning Infrastructure: Build services and infrastructu

P-150 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Below are some example teams you can join: Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Our te

P-150 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Below are some example teams you can join: Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Our

Associate Software Engineer Company: The Boeing Company The Boeing Company has an exciting opportunity for an Associate Software Engineer to support the ADaPS organization in Huntsville, AL. ADaPS (an organization of over 100 software engineers) supports programs across the entire portfolio of Boeing products including Space Launch Systems (SLS), Satellite Efforts, and Advanced Missile Defense efforts including Patriot Advanced Capability (PAC3) and Integrated Fires Protection Capability 2nd Interceptor (IFPC – 2). ADaPS specializes in implementing rapid prototyping and development programs using small, adaptable agile teams. Position Responsibilities: Assists with the development and fielding of flight software for seeker systems Assists with the design and development of test software for seeker software Assists with the development and integration of Weapons Open System Architecture Framework Domains into missile and weapons systems Assists with the development firmware and its integration with hardware/software Works in small agile teams composed of diverse engineering skills Use your talents to tackle complex problems on a variety of programs Develops technical products, plans, documentation, and briefings in support of program requirements Assists with review, analysis and translation of customer requirements into initial design of software products Supports development, documentation and maintenance of architectures, requirements, algorithms, interfaces and designs for software products Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires

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 Propulsion Systems & Mechanical Integration Engineer to own the mechanical integration of propulsion systems across our next-generation defense platforms. In this hands-on role, you will work at the intersection of propulsion, structures, fluids, thermal management, avionics, and vehicle systems to turn propulsion concepts into reliable, testable, manufacturable hardware. You will integrate next-generation engines, fuel systems, valves, pumps, tanks, actuators, thermal protection, and associated support hardware in tightly constrained aerospace vehicles. You will drive the mechanical architecture and interfaces required to accomodate propulsion systems while balancing performance, mass, packaging, manufacturability, reliability, and cost. At Mach Industries, we are redefining the future of defense through advanced, scalable platforms. As a Mechanical Engineer, you will play a key role in prototyping and refining mechanical systems, and optimizing designs for performance and scalability. Collaborating with a multidisciplinary team, you’ll help shape the next wave of defense technologies, from concept to deployment. Key Responsibilities Own mechanical integration of propulsion systems from early architecture and co

Associate Missions Systems Software Engineer - Embedded Company: The Boeing Company The Boeing Company is looking for Associate Missions Systems Software Engineers – Embedded to join the Boeing’s Mission Systems Software team in Berkeley, Missouri. This role is looking to hire software engineers capable of working in a collaborative integrated product team environment helping to implement various features of safety critical and/or mission critical flight software. This role will provide engineers experience in all phases of the software development life-cycle from requirements decomposition, architecture definition, algorithm development, software development, testing including Hardware in the Loop, and documentation. The software engineers will develop software in a Continuous Integration / Continuous Deployment (CI/CD) software build pipeline using an agile methodology focused on code quality, security and automation. Key Capability areas of interest include: Sensor Fusion Mission Management Resource Management Fire Control and Weapons engagement Mission Processing Stores Management Tactical Communications 3rd Party Software Integration Development Security Operations (DevSecOps) Contribute to all phases of the software development lifecycle (requirements, architecture, implementation, documentation, verification) in one of the following capability areas (Fusion, Fire Control, Mission Management, Resource Management, Tactical Communications, Supplier Integration, DevSecOps) Work within an Agile integrated product team working across software, analysis integration and test, sensors, and system test engineers. Position Responsibilities: </b

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 Ground Systems Mechanical Engineer to design, develop, and deploy ground systems that enable the safe, reliable, and efficient transportation, handling, storage, launch, and operation of next-generation defense platforms. In this hands-on role, you will design, and iterate on ground support equipment (GSE), launch and deployment systems, electro-mechanical interfaces, and supporting infrastructure while optimizing for manufacturability, reliability, safety, cost, and performance. You will work alongside multidisciplinary engineering, manufacturing, test, and operations teams to develop requirements then perform design, analysis, and testing cycles leading to prototype and flight hardware. You will own the engineering deliverables (CAD models, drafting, analytic and test verification) but contribute throughout the entire hardware development lifecycle. This role is ideal for an engineer who enjoys solving practical mechanical challenges, working directly with hardware, and rapidly developing robust systems that enable real-world operations. Key Responsibilities Own the mechanical design and development of ground systems, including ground support equipment (GSE), launch and deployment systems, tran