Systems Engineering Support Analyst Jobs

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture. Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software. Corporate Systems Product Management focuses on the internal platforms that power how Smartsheet operates - including Finance, People, Sales operations, integrations, and internal automation. Product Managers in this team steward system roadmaps, business workflows, and long-term platform evolution across these domains. As Senior Product Manager I – People Systems , you will own the People systems ecosystem, including Workday, Docebo, People analytics platforms, and the integrations that support the employee lifecycle. You will partner closely with People & Culture leadership, HR operations, Engineering, and Security teams to ensure People systems evolve to support workforce growth, operational efficiency, and accurate workforce insights. You will report to the Director of Corporate Systems and collaborate closely with Engineering and business stakeholders across the company. You Will: Own the product vision, roadmap, and prioritization for the People systems pillar

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Software Engineering Overview We are seeking a hands-on Manager, Software Engineering to lead the development of scalable data platforms, backend systems, and data pipelines supporting Mastercard's Portfolio Intelligence products. This role will initially focus on leading a team of Data Engineering contractors while providing strong technical leadership across architecture, delivery, and engineering excellence. The ideal candidate is a recent practitioner who has built and operated modern data platforms and backend services, can confidently review architecture proposals and code, and leverages AI-powered engineering tools to improve productivity, quality, and delivery speed. As the team evolves, this leader will play a key role in building and developing a high-performing organization of full-time engineers. What You'll Do Technical Leadership Provide technical leadership for backend services, data pipelines, and platform capabilities that support analytics, reporting, and AI-driven products. Review architecture and design documents to ensure solutions are scalable, maintainable, secure, and aligned with long-term platform strategy. Conduct and oversee code reviews, promoting engineering best practices, reliability, security, and operational excellence. <br

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

End-to-End Space Systems Engineer (Experienced or Lead) Company: The Boeing Company Boeing Defense, Space & Security (BDS), Space Mission Systems (SMS) Division, seeks an End-to-End Space Systems Engineer (Experienced or Lead) (Level 3 or 4) to join our team in El Segundo, California. Our team works with Commercial, Government, and Proprietary Customers in the development and deployment of next-generation technologies and systems in Space. The candidate will demonstrate the ability to provide high impact, creative solutions to complex technical problems, the ability to work as part of a large team, and the ability to provide critical support and independent review of the work of teammates. Position Responsibilities: Manage Space Segment External Interfaces, including development of Interface Control Documents ( ICD) as required by contract Perform system requirements and verification planning and execution Responsible for the maintaining the requirements trace and Verification Cross-Reference Matrix (VCRM) for system level requirements Develop and Model Space Segment Intersegment CONOPS Develop and maintain System Design Documents (SDDs) Utilize Model Based Systems Engineering processes and tools to develop and maintain the System Architecture Model Perform system trade studies and System level analyses Develop Intersegment Test Plans, including requirements for demonstrations and test beds Support Execution of System Operational test and evaluation activities Responsible for system level requirements verification and selloff Must be able travel locally

X-37B Product Review Engineer (Liaison Engineering) Company: The Boeing Company The Boeing Defense Space & Security (BDS) , Space, Intelligence & Weapons Systems (SI&WS) has an exciting opportunity for an innovative, highly motivated, people focused, and growth motivated Mid-Level Product Review Engineer to join our Experimental Systems Group (ESG). ESG supports a variety of government customers spanning technology domains, and is a fast-paced, responsive development environment delivering new capabilities to customers rapidly and affordably. The ESG portfolio consists of a range of platforms and technologies including the X-37B, the world’s first fully autonomous reusable spaceplane. This position is 100% onsite at Kennedy Space Center, Florida. Position Responsibilities: At Boeing, our Product Review Engineers are leaders in innovation, development, evaluation, and implementation of methods and systems in support of complex manufacturing and refurbishment processes. In this position, you will be responsible for the following tasks: Apply knowledge of Boeing design and/or engineering principles to assess and resolves product/process issues through the product lifecycle. Analyze, conduct root cause analysis and develop dispositions for design non-conformances. Develop interim or final engineering solutions to product/process issues identified throughout production and refurbishment of the products. Analyze, conduct failure analysis, root cause analysis and troubleshoot to understand root cause. Provide assistance and engineering support to identify solutions. Provide written dispositions for design non-conformances and damage s

We are looking for a Full Stack Developer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions — owning the full journey from intuitive user interfaces to robust cloud-native backends. What This Involves: Front-End Development Develop and maintain user interfaces for web applications using React and Next.js. Translate wireframes and design mockups into functional, accessible UI components. Identify and resolve front-end performance bottlenecks to ensure smooth user experiences. Write and maintain unit and integration tests for front-end components (e.g. Jest, React Testing Library). Back-End Development Develop and maintain high-quality back-end services and APIs using Python. Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP). Manage containerized applications using Docker and Kubernetes. Contribute to the design and evolution of scalable, cloud-native software architectures. Contribute to and maintain CI/CD pipelines for web and back-end applications. Collaboration and Quality Work closely with data scientists, engineers and project managers to deliver integrated end-to-end solutions. Support the development and deployment of AI and analytics solutions. Write clean, well-documented, and maintainable code across the full stack. Participate in technical discussions, code reviews, and continuous improvement initiatives. Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards. Requirements: Bachelor’s degree in Computer Science or related fields. 5+ years of software development experience, with meaningful time on both front-end and back-end systems. Experience designing systems in cloud-native or distributed environments is a plus. Excellent communication and collaboration skills — comfortable working acros

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 Structural Engineer focused on design and stress analysis for next-generation aerospace and defense systems. In this role, you will support the conceptual and preliminary structural development of high-performance vehicles and energetic platforms by driving structural layouts, FEM modeling, load path development, and structural trade studies. Key Responsibilities Develop structural layouts and aeromechanical architectures for advanced aerospace and defense platforms. Perform structural and mechanical analysis including load path development, stress analysis, vibration assessments, and structural sizing. Build and analyze FEM models including mesh generation, boundary conditions, load cases, and design trade studies. Support integration of aerodynamic, propulsion, and structural systems to ensure performance and structural integrity. Evaluate metallic and composite structures under static, dynamic, and thermal loading environments. Perform trade studies focused on stiffness, strength, mass optimization, manufacturability, and system integration. Collaborate closely with propulsion, flight sciences, manufacturing, and systems engineering teams throughout vehicle development. Participate in technical design reviews and

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like Donovan and Thunderforge , we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability. Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data. Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently. Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets. Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions. Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts. Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments. Partner closely with engineering managers, product leaders, and researchers to scope high-impac

We are looking to speak to candidates who are based in Sydney for our hybrid working model. Required Experience building and maintaining complex mission-critical production database systems (RDBMS or NoSQL). Coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc. Experience working with APIs and using it to integrate with 3rd party technologies and software in the areas of security and fraud, big data analytics and AI, healthcare, content management, IoT, database performance monitoring and management; financial services, healthcare services, telco etc. Solid hands-on experience with systems engineering, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting Experience analyzing and troubleshooting issues holistically, from the application tier through the database, down to storage Troubleshooting experience with TCP/IP networking stack on OS and Hypervisor Experience using or administering one or more cloud services stacks such as AWS, Azure or GCP Hands-on experience with administering and troubleshooting NAS, SAN, local storage, multi-pathing Experience building solutions involving application workloads and use cases. Preferred Experience using or managing MongoDB preferred Experience in one or more programming languages developing applications using a NoSQL or SQL database. Strong understanding of authentication systems such as LDAP, Kerberos, AD Experience using distributed version control systems, and in particular git Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators. Experience in working software product teams, and familiarity with product release processes from planning to release. Success Measures In 3 months, you’ll have gained a deep understanding of MongoDB and its partner ecosystem. You will complete New Hire Training. In 6 months, you will be comfortable working frontline w

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: We’re seeking a Senior Data Engineer to design, build, and operate large-scale, data-intensive platforms in the cloud. In this role, you’ll be responsible for developing reliable data pipelines, scalable data processing systems, and high-availability architectures that support analytics, machine learning, and data science use cases. You’ll work with modern big data technologies and AWS services, contribute hands-on code, lead smaller data initiatives, and mentor junior engineers. This is an ideal role for someone who thrives in complex data environments, values strong engineering fundamentals, and enjoys turning raw data into dependable, production-ready systems. The impact you'll make: Designs and implements sophisticated software systems using either object-oriented or functional programming techniq

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Design, build, and support analytics‑driven systems for global Facilities systems, translating complex operational data into clear, actionable insights. Develop and maintain interactive dashboards and reports (Power BI, Tableau) to support operational and leadership decision‑making. Integrate advanced analytics and AI‑enabled capabilities into Facilities platforms. Design and implement front‑end user interfaces that connect analytics and AI capabilities to back‑end enterprise systems. Ensure system data quality, consistency, and usability across Facilities applications and data pipelines. Partner with Facilities, IT, and Digital teams to identify opportunities for automation, predictive insights, and system modernization. Support global sites with technical guidance, standards alignment, and training to enable adoption and sustained value. Review and guide enhancements to Facilities applications with a focus on scalability, usability, and analytics value. Minimum Qualifications Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field. 2&#43; years of experience delivering analytics, reporting, or system‑enabled insights in an operational environment. Hands‑on experience building dashboards or visual analytics solution

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 Flight Test Engineer to support the planning, execution, and analysis of ground and flight testing for autonomous aircraft and related systems. This role works closely with design engineering, systems engineering, manufacturing, and Flight Operations to translate technical requirements into safe, executable tests. The Flight Test Engineer will develop test procedures, configure instrumentation, support test execution, evaluate results, and document whether test objectives were achieved. This is an entry-level role intended for an engineer who has strong technical fundamentals and wants to develop hands-on experience testing rapidly evolving aerospace systems. Key Responsibilities Test Planning and Development Translate system and subsystem requirements into measurable test objectives. Develop ground-test and flight-test procedures. Write test cards, test plans, and supporting readiness documentation. Define success criteria and identify the data required to evaluate them. Develop test matrices that account for configurations, conditions, and operating limits. Support the design of subsystem, integration, and vehicle-level tests. Coordinate test requirements with engineering and Flight Operations personnel. Test Readi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an Operations Improvement System Engineer within the Industrial Engineering organization at Micron Technology, Inc., you will be part of a team responsible for analyzing and optimizing the performance of the production operations. The Operations Improvement team is responsible for facility optimization, improving overall manufacturing efficiency and ensuring high product quality. Engineers will develop systems in a diverse range of topics such as: scheduling and real time dispatch, line management, production metrics and reporting, statistical analysis and project management Responsibilities and Tasks Continuously enhance manufacturing systems to improve prediction accuracy and enable more scenario study capabilities. Work with stakeholders on problem and opportunity identification and investigation, solutions design and development, and testing and deployment for automation systems Create, document, and support business processes for scheduling and automation service requests Support and provide technical expertise for line management decision making (including linearity, cycle time, line yield, wafer starts and output optimization) Support and provide technical expertise for area management decision making (including queue time management, equipment and recipe releases, and general workstation optimization) Support manufacturing scenario studies through automation solutions. Collaborating with p

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity As a Systems Engineering Intern, you will contribute to projects that combine hardware, firmware, and software engineering for advanced AI compute platforms. You will work with experienced engineers on subsystem design, laboratory testing, system validation, automation, and performance analysis. The internship provides hands-on experience with modern hardware development and system-level engineering. You will own clearly defined technical tasks with guidance from the team and document your methods, results, and conclusions. What You Will Do Support the design and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Run laboratory tests and measurements to help evaluate performance, power, signal behavior, and reliability. Contribute to system-level validation by creating scripts and tools that streamline testing, data collection, and analysis. Explore emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and learn how they support advanced computing workloads. Assist with investigations into platform power, cooling, and energy efficiency, including liquid-cooling systems for high-performance processors. Use power meters, oscilloscopes, logic analyzers, or comparable lab equipment under appropriate supervision. Analyze test results, identify unexpected behavior, and work with engineers to reproduce and investigate issues. Collaborate across hardware, firmware, software, m