Manufacturing Systems Engineer Jobs

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. The US Expansion Construction team leads the design and delivery of Micron’s next generation semiconductor manufacturing facilities, including major projects in Boise, Idaho and Clay, New York. We partner with global engineering, construction, and operations teams to build highly reliable infrastructure that supports advanced technology manufacturing. Our team values innovation, collaboration, and continuous learning as we help shape the future of the industry. As the NY Gas Systems Operations Engineer, you will play a key role in the design, construction, commissioning, and long-term operation of bulk gas, specialty gas, and cryogenic gas systems supporting semiconductor manufacturing. This position offers the opportunity to provide technical leadership, guide external design and construction partners, and help ensure critical utility systems are delivered safely, reliably, and ready for sustained operations. Responsibilities: Oversee the design, construction, commissioning, and startup of bulk gas, specialty gas, and ultra-low temperature gas systems for a high-volume manufacturing facility Review engineering deliverables, including P&IDs, equipment specifications, layouts, and 3D models to ensure compliance with project requirements and industry standards Support construction execution through RFI review, submittal evaluation, field inspections, coordination meetings, and issue resolution Lead commissioning readiness, system testing, performance verificatio

Job Details: Job Description: The Role and Impact As a Development Tools Software Engineer, you will play a vital role in creating and optimizing cutting-edge software tools that support diverse engineering domains such as design, manufacturing, validation, silicon production, systems integration, and ecosystem enabling. On a day-to-day basis, you'll design, develop, debug, and validate algorithms, tools, and systems that empower internal and external engineering teams to deliver impactful products. Your contributions will directly enable the seamless integration of Intel silicon and software into innovative solutions, driving progress across industries. Business group You will join Intel Corporation, a leading global technology company dedicated to advancing semiconductor innovation and creating solutions that enrich the lives of people worldwide. The team focuses on developing robust software tools and methodologies that support Intel's engineering ecosystem, fostering excellence and driving high-quality results. This group plays a critical role in enabling Intel's broader mission of building world-class technologies and products that power the future of the digital world. Key Responsibilities - Design and implement software tools using modern software development methodologies and programming languages. - Debug, validate, and optimize algorithms and software systems for engineering applications, ensuring high performance and reliability. - Collaborate with cross-functional teams to create solutions that enable seamless integration of Intel silicon and software into impactful products. - Utilize secure coding practices to ensure the robustness and security of software tools across various engineering domains. - Continuously explore innovative solutions to enhance design, manufacturing, validation, and testing processes. <p st

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Role Overview We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy , automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev. As a Solutions Engineer, you will act as a trusted advisor , combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform. You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows . Key Responsibilities Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments) Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions Build and showcase AI-driven workflows, automations, and agentic use cases Design and articulate end-to-end solutions (data ingestion → processing → decision → action) Act as a technical advisor , guiding customers on how DevRev c

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 include, but not limited to: Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in the areas: Agentic AI, statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Strong software development skills. Strong verbal and written communication skills. Experience with or desire to learn: Machine learning and other advanced analytical methods Fluency in Python and/or R pySpark and/or SparkR and/or SparklyR Hadoop (Hive, Spark, HBase) Teradata and/or another SQL databases Tensorflow, and/or other statistical software including scripting capability for automating analyses SSIS, ETL Javascript, AngularJS 2.0, Tableau Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Experience working with Manufacturing Execution Systems (MES) is a plus Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position About

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Role Overview We are looking for domain-first, systems-oriented engineers domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy,automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev. As a Solutions Engineer, you will act as a trusted advisortrusted advisor, combining domain expertise, engineering depth, and problem-domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform. You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-real-world automation, intelligence, and agentic workflowsworld automation, intelligence, and agentic workflows. Key Responsibilities Partner with customers to deeply understand domain workflows, systems, and data flows domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments) Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions insights, workflows, and automated actions Build and showcase AI-driven workflows, automations, and agentic us

NVIDIA is seeking a creative and analytical Capacity Planner to join our Operations team and drive the scaling of our Boards & Systems manufacturing across all business units. In this cross-functional role, you will lead the weekly planning cycle, collaborate with Operations, Manufacturing, Supply Chain, Engineering, Finance, and Business Units, and leverage advanced analytical models to resolve capacity constraints, rationalize capital investments, and drive execution strategies for senior management. What You'll Be Doing Run the weekly capacity planning cycle for Boards & Systems, including forecast ingestion, supply planning alignment, Contract Manufacturer (CM) and testing reviews, and preparation of planning outputs. Consolidate and validate core planning inputs (18-month forecasts, NPI consumption, SKU mappings, CM commits, yield data) across enterprise applications like Anaplan. Analyze required versus available capacity, identify bottlenecks, and perform scenario analysis using data models to drive risk mitigation strategies. Lead capital investment, decisions based on capacity requirements, rationalize forecast changes, and optimize volume loading across CMs to meet target supply and revenue goals. Coordinate workflows across Supply Planning, Business Units, Contract Manufacturers, Production Planning, Purchasing, Manufacturing/Test Engineering, Finance, and NPI in a multi-program platform environment. Partner with IT teams to integrate planning models with enterprise systems, establishing standardized workflows, data pipelines, and toolsets. Present clear, data-driven execution plans, operational risk insights, and mitigation strategies to senior management. Align with cross-regional teams (US, Israel, APAC) to maintain seamless operational execution and standardized planning frameworks. What We Need to See 5&#43; years

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. The Innovation, Technology and Products - Applied AI and Data Science organization builds AI, machine learning, and analytics systems for hard semiconductor engineering problems. We work directly with product engineering, reliability, test, manufacturing, and systems teams. Our engineers pair semiconductor domain knowledge with modern ML engineering, cloud platforms, and agentic AI. Everything we build is meant to run in production, not stop at a prototype. We are looking for a Lead Engineer, Applied AI and Agentic Systems. You will own the architecture and drive delivery of AI systems that engineers rely on every day. Problems will reach you vague. You will turn them into designs, plans, and working software. You bring depth in machine learning plus real strength in software engineering, cloud deployment, and agentic AI. You set direction, review designs, question assumptions, and grow the engineers around you. When a problem gets genuinely hard, you dig into the code alongside the team. If that sounds like your kind of work, we would like to meet you! Responsibilities: Set the architecture and technical direction for our applied AI, ML, and agentic AI work. Design systems end to end: data pipelines, features, model development, evaluation, inference services, and monitoring. Build the models engineers act on — prediction, diagnosis, optimization, and decision support for semiconductor applications. Ship agentic AI for engineering analysis, knowledge retri

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 Build the platforms, processes, and engineering capabilities that enable reliable, data-driven manufacturing and systems testing across the entire product lifecycle. In this key leadership position, you will drive operational excellence across PCBA- and system-level test environments for Everpure products. You will lead a high-performing team and partner directly with Design Engineering, Manufacturing Operations, Quality, and Contract Manufacturers to elevate test coverage, accelerate software delivery, and safeguard product quality. WHAT YOU'LL DO Strategic Roadmap & Execution: Define and execute the systems test enablement strategy, technology roadmap, and operating model to directly align engineering capabilities with core business growth and product priorities. Team Leadership & Enablement: Lead, mentor, and grow a high-performing engineering team focused on building robust test frameworks, validation automation, test infrastructure, and operational data services. Platform & Infrastructure Evolution: Own the end-to-end evolution of scalable manufacturing test platforms, optimizing framework capabilities, testbook development, equipment configuration, and factory integration to increase production throughput. Software Quality & Continuous Delivery: Drive software delivery speed and reliability by establishing robust development workflows, CI/CD validation, release governance, and continuo

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the job Shape how Graphcore’s high-performance systems are tested, diagnosed and proven ready for production. You’ll lead the technical direction for system-level manufacturing test. You’ll turn product requirements into robust test strategies for manufacturing partners. Your work will directly influence product quality across boards, blades and rack-level systems. You’ll solve complex test issues and drive improvements across products. You’ll define, deploy and maintain test platforms, fixtures and diagnostic solutions. You’ll also partner with hardware, software and manufacturing teams. This role combines hands-on technical depth with broad influence. You’ll shape future test strategy while helping other engineers raise the bar. The team and culture The Product Test and Diagnosis team finds and manages hardware defects across chips, boards and finished systems. Its work spans manufacturing sites and deployed products. You’ll work closely with engineering teams and manufacturing partners to solve problems quickly. Decisions are driven by evidence, technical judgement and root cause analysis. You’ll have ownership of complex problems and the scope to challenge existing approaches. You’ll also mentor engineers and establish practical standards across teams. What we’re looking for Essential Proven experience in PCBA and system product validation, including in manufacturing testing within production environments. Strong understanding of electronics fundamentals, PCBA/blade/rack-level manufacturing processes, and associated failure mechanisms. Proficient with Linux command-line environments and technical troubleshooting. Experienced in the local and remote operation of test equipment, including oscilloscopes, DMMs, clock generators, SMUs, and PSUs. Proven problem-solving, communication, and presentation skills, with the ability to perform effectively in fast-paced, complex environments. Desirable Strong knowledge of high-speed interconnects, including PCIe Gen5/6

At United Integrated Services (UIS), we build more than facilities—we build the infrastructure that enables technologies to shape the future. As a global engineering and construction company specializing in the semiconductor industry, UIS brings together talented people, technical expertise, and innovative solutions to deliver the most complex and critical projects in the industry. Our U.S. team is helping build the next generation of advanced semiconductor manufacturing facilities, working alongside some of the world's leading technology companies. Our work requires precision, collaboration, accountability, and a commitment to doing things the right way—from the planning and engineering stages through construction and project completion. As UIS continues to grow, we are building more than projects. We are building teams, developing careers, and creating opportunities for talented professionals to make a meaningful impact. If you are looking for an opportunity to work on challenging projects, grow your career, and be part of something bigger, we invite you to build the future with UIS. WHAT WE OFFER Comprehensive Benefits – Medical, Dental, Vision, Short-Term Disability (STD), Long-Term Disability (LTD), and Life Insurance provided at no cost to employees. Competitive Compensation – Competitive salaries and opportunities for performance-based incentives. Career Growth – Opportunities to develop your skills, take on new challenges, and grow with a rapidly expanding organization, supported by education reimbursement for eligible employees pursuing continued learning and professional development. Meaningful Work – The opportunity to contribute to some of the most advanced semiconductor construction projects in the country. Collaborative Environment – Work alongside experienced professionals across engineering, construction, project management, safety, procurement, and operations. Summary : We are searching for an Associate Mechanical Engineer - Int

Mechanical Systems Design & Analysis Engineer (Experienced or Senior) Company: The Boeing Company The Boeing Test Operations and Engineering (TO&E) team in Berkeley , Missouri is seeking Mechanical Systems Design & Analysis Engineers to join our Instrumentation Installation Design group supporting flight test programs. In this team, a design engineer has the primary responsibility for the synthesis of requirements, creation of engineering definition, 3D models, 2D drawings, and model-based definition that define the mechanical hardware required to install a flight test data system. Flight test hardware is frequently located throughout the aircraft giving an employee a chance to get familiar with different areas of the platform. Instrumentation installation designers work the entire design cycle including support of requirement definition, layouts, coordination with electrical designers, preliminary design review, engineering release, coordination with manufacturing engineers and suppliers, occasional shipside support, and change incorporation. We are currently hiring for a broad range of experience levels including Experienced and Senior Mechanical Systems Design & Analysis Engineers. Position Responsibilities: Determine where and how to locate flight test equipment on the air vehicle given upstream test requirements Design detailed mechanical components such as shelves, equipment trays, wiring clips, brackets, sensor mounts and specialized test mechanisms Incorporation of instrumentation into mechanical designs, including model-based wire routing and installation definition of how to modify the production airframe and to install sensors Work c

Job Details: Job Description: Designs, develops, sustains, tests, validates, and debugs software to enable specific factory, wafer process, packaging features, capabilities, solutions, and/or reference platforms for Intel manufactured products. May work across multiple layers of the software stack spanning firmware, drivers, operating systems, database platforms, storage platforms, network/firewall, middleware, frameworks, algorithms, automated material handling systems, and/or applications for mission critical distributed enterprise systems spanning a large number of clients/servers and applications across multiple operating systems, specific technology, product/platform, or Manufacturing segment. Integrates, supports, and sustains Factory Automation software systems to ensure reliable and efficient manufacturing operations. Applies advanced troubleshooting techniques to diagnose and resolve automation system issues, minimizing system downtime and improving overall system performance. Drives continuous improvement initiatives to achieve automation system health goals, enhance system reliability, and support emerging manufacturing capability requirements. Serves as the automation subject matter expert for designated automation systems, representing system integration needs and collaborating with cross-functional and cross-site teams to drive solutions. Supports automation system monitoring tools, system validation, software testing, troubleshooting, and software quality control activities. Partners with Virtual Factory teams and relevant stakeholders to facilitate knowledge sharing, issue resolution, and continuous improvement across manufacturing sites. Provides 24x7 production support through a rotating day and night shift schedule, working 12-hour shifts (AA, BB, CC, DD rotation) to ensure continu