Systems Engineering Support Analyst Jobs

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As an Early Career Software Engineer at Roblox, your story begins with supportive mentorship and immediate, global impact. You’ll work alongside seasoned engineers and curious experts, designing, coding, and deploying real features that reach millions of people globally. By the end of your first year, you’ll have directly influenced the future of our platform and the experience of our global community with millions of daily active users. You Will: Join a community of curious, supportive engineers, actively engaging in architectural discussions and system design. Investigate and experiment with cutting-edge technologies, like machine learning frameworks and large language models (LLMs), to solve complex technical challenges and improve our engineering systems. Design, code, and test innovative features, navigating the full development lifecycle from initial design to production deployment. Partner closely with cross-functional teams, including Design, Product, Data, QA, and DevOps, to deliver cohesive products and features. Support the continuous evolution of our distributed systems, operating at our massive scale of 2 trillion analytics events a day. Engage in our team mat

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. Broad knowledge and experience in: Expertise in the field of Data Engineering, Business Intelligence, and Advanced Analytics. Supporting, and maintaining ETL/ELT processes using SSIS, Snowflake, and cloud-native data integration technologies. Proficient in writing advanced SQL queries in both SQLServer and Snowflake. Proficient in debugging ETL packages. Good knowledge of databases, data warehousing, dimensional data modeling, and data governance practices. Familiarity with cloud-based systems for data engineering, especially Google Cloud Platform (GCP) and BigQuery. Experience with workload automation, job scheduling, and monitoring tools such as Active Batch & RMJ. Supporting Business enterprise data pipelines and ensuring data availability, reliability, and performance. Experience in production support, handling incidents, identifying root causes, and resolving problems. Knowledge of building APIs and integrating data across multiple applications and platforms. Experience with Agile development methodologies and DevOps practices. Resolving transformation requirements and developing processes to bring structured and unstructured data from source systems into target data models. Working with Data Engineers, Data Scientists, and Business teams to support data quality, data preparation, and analytical workloads. <li

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 New Graduate Vehicle Performance Engineer to support the analysis, design, and optimization of next-generation autonomous defense systems. Depending on your experience and interests, you may contribute to aerodynamics, aerothermal analysis, thermal systems, vehicle performance, trajectory analysis, or multidisciplinary design analysis and optimization (MDAO). You will work alongside engineers across vehicle design, propulsion, structures, GNC, systems, and test to evaluate vehicle concepts, understand key performance drivers, and guide engineering decisions. This role is ideal for an analytically strong engineer who enjoys solving multidisciplinary problems and using modeling, simulation, and test data to improve real-world vehicle performance. Key Responsibilities Analyze the aerodynamic, aerothermal, thermal, and mission-level performance of aircraft, missiles, and other autonomous defense platforms. Develop analytical models and simulation tools to evaluate vehicle performance across operating conditions and mission profiles. Perform aerodynamic and thermal analyses using computational, reduced-order, and first-principles methods. Support vehicle sizing, configuration development, trajectory analysis, and multidis

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The fire protection engineer provides engineering design support and subject matter expertise in the following areas: fire protection, life safety, building and fire codes, fire hazard and risk assessment of materials and processes, fire and smoke spread, industrial fire hazards, fire investigation support, and other fire and life safety issues. RESPONSIBILITIES: Support engineering design, analysis, calculations and specifications for facility fire and life safety systems Develop building and fire code compliance documents and fire life safety designs for SpaceX launch facilities Perform hazardous material analysis for code compliances purposes, such as chemical classification, chemical quantity analysis, chemical inventory management, and related system design support Support facility construction teams to develop field solutions Support commissioning activities during pre-test and AHJ testing phases for launch site facility builds Conduct fire/life safety code reviews and analyses Prepare and present technical reports and presentations Review and comment on shop drawing design packages developed by contractors Develop AM&M (Alternate Means & Methods) t

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. Key Responsibilities GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval. LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation. Machine Learning Production: Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support. Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions. Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments. Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders. Innovation Leadership: Identify and drive high-impact o

The opportunity We're looking for a Product Cybersecurity Engineer to help ensure that Polestar's products meet global cybersecurity standards and regulatory requirements throughout the vehicle lifecycle. In this role, you will work across concept, development, production, and post-launch operations, contributing to the implementation and validation of cybersecurity requirements that help safeguard our vehicle systems. Let us describe the challenge we offer As a Product Cybersecurity Engineer, you will play a key role in defining, integrating, and verifying technical security controls across our products. Working closely with R&D, suppliers, and cross-functional teams, you will support secure product development through threat analysis, secure design, cybersecurity validation, and regulatory compliance activities. This role is located at our HQ in Gothenburg, Sweden. What you'll do You will be responsible for implementing and validating cybersecurity requirements across the vehicle lifecycle while supporting compliance with standards and regulations such as ISO/SAE 21434 and UNECE R155. This includes: Define, decompose, trace, and maintain product cybersecurity requirements and assurance cases. Perform and/or support Threat Analysis and Risk Assessments (TARA) and risk treatment activities. Plan and execute cybersecurity validation and verification activities, including testing and reviews. Review supplier cybersecurity work products and support the closure of identified findings. Support the generation of technical evidence required for regulatory audits and type approvals. Collaborate with system architects, software and hardware teams, and functional safety teams to ensure secure integration. Contribute to the continuous improvement of security engineering methods, tools, and templates. Who you are You are an experienced cybersecurity engineer with a strong background in product or embedded cybersecurity. You enjoy working collaboratively across disciplines and a

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: As a Quantitative Researcher, you will: • Develop and enhance trading models using our in-house platform • Analyze extensive financial data sets to unearth trading opportunities • Provide analytical support to our experienced traders • Develop predictive models for market movements • Mentor interns and freshers, grooming them as future teammates Qualifications: The ideal candidate will possess: A degree in Computer Science, Mathematics, or Engineering from a leading institution. 0-4 years of relevant work experience. Exceptional analytical and problem-solving skills. Proficiency in programming, particularly in C++ or C. Working knowledge of Linux, Python, and shell scripting. A curious mindset and a passion for understanding complex systems. A disciplined and consistent work ethic. Strong communication and interpersonal skills. Previous experience in a startup or the High-Frequency Trading (HFT) industry will be an added advantage. What We Offer: Competitive salary package Opportunity to work in a dynamic and collaborative environment Career growth and development opportunities Catered breakfast and lunch Annual international and domestic trips Monthly team dinners

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: As a Quantitative Researcher, you will: • Develop and enhance trading models using our in-house platform • Analyze extensive financial data sets to unearth trading opportunities • Provide analytical support to our experienced traders • Develop predictive models for market movements • Mentor interns and freshers, grooming them as future team mates Qualifications: The ideal candidate will possess: A degree in Computer Science, Mathematics, or Engineering from a leading institution. 4+ years of relevant work experience. Exceptional analytical and problem-solving skills. Proficiency in programming, particularly in C++ or C. Working knowledge of Linux, Python, and shell scripting. A curious mindset and a passion for understanding complex systems. A disciplined and consistent work ethic. Strong communication and interpersonal skills. Previous experience in a startup or the High-Frequency Trading (HFT) industry will be an added advantage. What We Offer: Competitive salary package Opportunity to work in a dynamic and collaborative environment Career growth and development opportunities Catered breakfast and lunch Annual international trip Monthly team dinners

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: The Lead Cloud Economics Specialist will own analytics, automation, and operating processes for cloud cost management, cost attribution, optimization tracking, strategic vendor economics, and product-margin support. The role will partner with Finance, Product & Engineering, IT, Procurement, Legal/Trust, and Data teams to turn complex usage and cost data into clear financial insights, scalable reporting, and executive-ready recommendations. This is a senior, hands-on finance business partnering role at the intersection of Finance, cloud economics, data automation, vendor economics, and Product & Engineering decision support. You will work with complex usage and cost data, build scalable reporting and automation, and translate technical cost drivers into clear financial insights and recommendations. You will lead through ownership and influence rather than direct management, and you'll have room to define structure where mature processes don't yet exist. The work you’ll do: Cloud cost visibility and attribution Build and maintain reporting across AWS, Azure, GCP, and related hosting environments. Improve attribution of cloud and infrastructure costs to services, teams, products, customers, projects, and cost centers.

This is a senior individual contributor role for someone who wants to actively shape how Engineering, one of the most important parts of how Datadog develops its people. You'll sit at the center of Datadog's biggest talent bets for Engineering: how we build leaders, define career paths and org design, evolve performance, move talent internally, and plan succession for our most critical roles. You’ll own this work end to end, from the first framing conversation with senior leaders through to delivering a program running at scale. AI is changing how Engineering builds software, and it is changing how People builds the programs that support Engineering too. This role sits at the centre of both: understanding how AI is reshaping engineering roles, skills and structures, and building AI-powered solutions within People to keep pace. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design and lead complex talent programmes for Engineering, spanning leadership capability, career architecture, org design, performance, internal mobility and succession for critical roles. Partner directly with PBPs and senior leaders to turn ambiguous problems into clear programme goals, design principles and success measures. Help Engineering and People understand and respond to how AI is reshaping roles, skills and ways of working, and translate that shift into practical talent and org design choices. Stay hands-on from concept through to adoption: this is a build and run role, not a strategy and handover role. Work across Enablement, Learning, People Analytics and People Systems so what you build scales and embeds into core people processes. Equip PBPs with frameworks, tools and executive-ready narratives that support real adoption in the business. Operate in ambigu

At Lyft, our purpose is to serve and connect. Lyft Urban Solutions designs, builds, and operates bikeshare systems in more than 50 cities worldwide, including New York, Chicago, London, Barcelona, Mexico City, Rio de Janeiro, and Montréal. Our Longueuil facility is the birthplace of BIXI, North America's first automated bikeshare system, and today builds the bikes and stations behind some of the world's largest bikeshare networks. We are looking for a Hardware Field Quality Engineer Intern to join our Field Quality team at our Longueuil facility. Once our bikes, e-bikes, batteries, and stations leave the factory, Field Quality owns how they hold up in the real world: millions of rides, all four seasons, in cities across the globe. You will work alongside field quality engineers to help spot emerging hardware issues, investigate their root cause, and support fixes with engineering, manufacturing, and market operations teams. You will spend time hands-on with failed parts in the lab, and just as much time in the data working out how big a problem really is. Responsibilities: Support failure analysis on parts returned from the field, including requests from enterprise customers, by helping with teardown, inspection, and electrical testing and documenting findings with photos. Help monitor field data, such as vehicle and station alerts and repair records, and flag emerging issues to the team. Build and update dashboards and queries that track reliability metrics and retrofit progress. Assist with field retrofit campaigns by helping identify affected units and tracking progress. Help review repair SOPs and troubleshooting guides used by market mechanics, and suggest improvements. Contribute to field failure investigations in Jira, working with engineers on root cause and corrective actions. Experience: Currently enrolled in a Bachelor's or Master's program in Mechanical, Electrical, Mechatronics, or Industrial Engineering, or a related field, at a Canadian university, gr

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Data Analytics and Transformation team encompasses the Data Engineering, Semantics, Data Science, Strategic Intelligence and Business Transformation functions. The team provides analytic support and a strategic perspective to the different functions within Celonis to enable them to make evidence-based decisions. We deliver actionable insights by collecting, organizing and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and much more. We transform data into analytic assets by conducting exploratory analysis, identifying outliers, validating hypotheses, building statistical models, quantifying risk; communicating findings through well crafted stories and critical recommendations. The Role: As a Data Scientist in the Data Analytics and Transformation team, you will play a key role in developing and communicating data-driven insights that will help with strategic and tactical decision making in a hyper growth environment. You will be using your analytical and data science skills to create and fine tune statistical and machine learning models, carry experimentation, build with foundation models - RAG, agents, evals and communicate findings to engineers, m

What you'll do We're looking for a Senior Mechanical Engineer for Midjourney Medical — from precision electromechanical assemblies up to the large-scale structures and mechanisms that hold everything together and make it move. This role spans the full range of scale: one week you might be refining a compact transducer mount, the next you're architecting a structural frame or designing the motion system that positions hardware within it. This is a hands-on role on a small cross-functional team. You'll take problems from whiteboard sketch to working hardware yourself — designing in CAD, prototyping in the shop, testing, iterating, and integrating with research teams, electrical and software engineers along the way. We move fast and expect you to drive your own work: identifying what needs to happen next, making sound engineering calls without waiting for permission, and shipping hardware that works. Own parts of the mechanical systems end to end — structures, mechanisms, and electromechanical integration Design large-scale structures: frames, weldments, enclosures, and support systems, with attention to stiffness, weight, manufacturability, and serviceability Design mechanisms: linkages, motion stages, actuation systems for precise, reliable positioning and articulation Integrate transducers, electronics, cabling, and thermal management into large physical systems Perform engineering analysis (tolerance stack-ups, structural/FEA, mechanism kinematics) to de-risk designs before committing to hardware Build and test relentlessly — 3D printing, rapid prototyping, and hands-on fabrication are core to how you'll validate designs Select parts and materials for system-level integration, balancing performance, cost, and lead time Drive projects independently from concept through validation, and collaborate closely with a small cross-disciplinary team to hit project goals What we're looking for Bachelor's degree in Mechanical Engineering or a related field 5+ years of experien

The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for the MongoDB Database Server ( Community and Enterprise editions). The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following: Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling Use software architecture and coding patterns to reduce the impact of security issues Be security subject matter experts for our tech stack and products This role can be based out of any MongoDB U.S. office or remotely within the United States. Who You Are With a strong security engineering background, you’re looking for a role that gives you the freedom to increase MongoDB’s resonance with customers by strengthening our core database products. You’re passionate about solving hard security engineering problems while putting a strong emphasis on customer experience, leveraging your own significant experience. You enjoy collaborating with different teams to innovate and implement pragmatic solutions. Responsibilities You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security You will support engineering teams when they respond to security issues, such as providing risk analysis and proof of concept Advocate for and contribute to complex security projects from inception through completion Drive architecture, patterns, and processes across Server Engineering that make security the easiest path Partner closely with engineering teams to

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads. What you’ll do Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance. Strategic leadership & scientific roadmap: Identify fundamental gaps and op