Machine Operator Integrator Jobs

Zoox is developing fully autonomous vehicles and the supporting ecosystem required to bring the technology to market at scale. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We believe the transition to self-driving vehicles requires a combination of elegant vision and uncompromising execution. As a Staff Closures Engineer, you will own the closures architecture for the vehicle. You will be the subject matter expert for how doors, latches, hinges, actuators, seals, and glazing behave as a system, how that system interacts with the rest of the vehicle, and where the interdependencies between it and body, EE, firmware, manufacturing, and service will surface later in the program. This is a hands-on architecture role, not a detached one: alongside setting system direction, you will personally own a set of the most difficult parts in the system and take them from concept through sourcing, validation, and launch. Our closures are unlike conventional vehicles. They are fully automated, operate at a duty cycle closer to transit than to passenger cars, carry sensor and compute integration, and have no driver to compensate for them. The person in this role is comfortable being accountable for both the architecture and the specification. In this role, you will: Serve as the technical owner and subject matter expert for the complete closures system. Understand how every component interfaces within the system and with the rest of the vehicle, and anticipate interdependencies between closures and adjacent complex systems before they become integration failures. Set and defend the closures architecture across current and future vehicle programs - mechanism topology, load paths, sealing and water-management strategy, actuation and state-detection strategy, tolerance and dimensional strategy, and the hardware/firmware boundary - making the trade-offs explic

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role AI research at WRITER isn't just about publishing papers — it's about building the scientific foundation that powers some of the most ambitious enterprise AI deployments in the world. As an AI research scientist, you'll be at the center of that work. You'll drive a high-impact research agenda focused on large language models, agentic reasoning, and the system-level capabilities that make AI genuinely useful at enterprise scale. This is a rare opportunity to do research that matters twice over — advancing the field and shipping directly into products used by hundreds of thousands of people every day. We're at an inflection point. Enterprises are moving from experimenting with AI to deeply embedding it across their operations, and WRITER's models are the engine making that possible. The work you do here — on post-training, planning, multi-step reasoning, and agentic workflows — will directly shape how the next generation of enterprise AI behaves, performs, and scales. You

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a social media manager to own how Baseten shows up on social. Our audience is ML engineers, infrastructure teams, and technical founders, and most of them meet us first on X or LinkedIn, around a model launch, a benchmark, an open source release, or a customer result. This role decides what that first impression is. This is a senior individual contributor role. You set the strategy and you write the posts. Day to day you'll work with product marketing, comms, design, our engineers, and our founders. This role relies on technical credibility. You don't need an engineering background, but you do need to understand what we're claiming and why it matters. We post about latency, throughput, and GPU cost, and we hold ourselves to getting those details right. RESPONSIBILITIES This role is the face of the Baseten brand on our social channels and builds our direct line of communication with the community across X, LinkedIn, YouTube, and the communities where our audience already spends time. Track the conversation across AI and open source, and move quickly when we have something useful to add. Set the social strategy: what we post where, how each account grows, and how we measure it, with a clear point of view on which channels deserve investment and which don't. Translate technical work into posts worth sharing: model launches, benchmark results, open source projects, engineering deep dives, and custo

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for an outstanding Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. This is an excellent opportunity for new graduates who are excited about coding agents, AI-assisted software engineering, developer tools, and GPU computing. In this role, you will work with experienced engineers and researchers to build agentic systems and compiler-aware tooling that improve developer productivity, code quality, and system performance across NVIDIA's software and hardware stack. What you'll be doing: Build and improve coding-agent systems for tasks such as code generation, transformation, debugging, optimization, validation, and developer assistance. Develop agent workflows involving tool use, planning, memory, execution, and feedback loops for software engineering and compiler-related tasks. Help create training, evaluation, and verification environments to improve agent quality, correctness, r

Our Purpose Mastercard powers economies and empowers people in 200+ 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 Principal Product Architect Mastercard powers economies and empowers people in more than 200 countries and territories worldwide. Together with our customers, we are building a sustainable economy where everyone can prosper. Through secure, simple and accessible digital payments, our technology, partnerships and networks help people, businesses and governments reach their full potential. A2A Risk Solutions: Principal Product Architect We are seeking a Principal Product Architect to join our award-winning Account-to-Account (A2A) Risk Solutions team. Our products combine advanced data science and payments expertise to help financial institutions combat fraud and financial crime. This role will be central to designing and scaling Mastercard's global A2A Risk Solutions. Working closely with product, engineering, data science, customers, financial institutions and technology partners, you will define scalable architecture patterns, shape technology strategy and support expansion into new markets. Responsibilities Define and maintain solution architectures that align with business objectives, product requirements and architectural principles. Translate business, customer and market requirements into scalable, secure and resilient technical designs. Lead architecture for A2A fraud and f

Job Details: Job Description: Intel Corporation is the world's largest semiconductor company and a global leader in computing innovation. Our Quantum Computing Group represents Intel's bold venture into the next frontier of computing technology, leveraging our decades of semiconductor manufacturing expertise to develop silicon-based quantum processors. We're pioneering spin qubit technology in silicon quantum dots, combining cutting-edge quantum physics with Intel's unmatched manufacturing capabilities to create the world's first commercially viable quantum computers. Our collaborative approach spans the entire quantum compute stack while harnessing the power of Intel's 18A process and design infrastructure. We are seeking an exceptional Quantum Design Engineer to join our pioneering quantum computing team. In this position, you will be joining a team of incredibly talented engineers focused on the challenging task of scaling our quantum computing chips to millions of qubits. Here you will be involved in all aspects of the qubit chip process from initial conception through Process-Design-Kit definition, design execution and tapeout, along with ensuring silicon runs smoothly in fab and final system integration. You'll work closely not only with our qubit, control, system integration, and software/algorithms teams, but also with teams in Foundry lithography, process and design. You'll be working at the intersection of cutting-edge semiconductor technology and quantum physics, creating solutions that push the boundaries of what's possible in computing. Ready to help build the future of quantum computing? Apply now and be part of this extraordinary journey Key Responsibilities • Work alongside lithography, process integration, measurement, and PDK engineers to establish qubit processes and design rules • Architect qubit and readout element standard cell design and autom

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the design and implementation of the world’s leading inference accelerator. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people around the globe. Their mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality. What you'll be doing: As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design Collaborate with architects, designers, and pre and post silicon verifi

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location MSB, Singapore (990 Bendemeer Road, Singapore 339942) Department New Product Manufacturing Project Title AI-Enabled Manufacturing Analytics and Productivity Automation Project Description The intern will undertake a structured project that applies Artificial Intelligence, Generative AI, data analytics, and automation technologies to selected opportunities within New Product Manufacturing. Under the guidance of experienced engineers and business stakeholders, the intern will evaluate defined processes where AI-Enabled solutions may reduce manual effort, improve data visibility, automate reporting, and generate actionable insights from manufacturing and operational data. The project may involve automated work-in-process reporting, lot-prioritization analysis, intelligent dashboards, or productivity automation. The intern will gain practical experience using approved tools such as Microsoft Copilot, Power BI, Power Automate, Power Apps, SharePoint, Python, and Structured Query Language. Objective of the Project Develop an understanding of New Product Manufacturing processes, data sources, and operational challenges. Identify a defined opportunity where AI, Generative AI, data analytics

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location F10 site, 1 North Coast Drive, Singapore 757432 Department Process Engineering Project Title PSK Thermal Optimization for Advanced Semiconductor Manufacturing Project Description The intern will undertake a structured Process Engineering project focused on wafer thermal management and plasma strip process optimization. Under the guidance of experienced engineers, the intern will investigate the impact of chuck temperature on wafer thermal behaviour, film properties, and process performance. The project will involve experimentation, Design of Experiments, statistical analysis, process modelling, and data visualization. The intern will also gain exposure to AI-Enabled data exploration and predictive analytics for identifying process relationships and optimization opportunities. Through this project, the intern will develop practical knowledge of semiconductor manufacturing while contributing data-based recommendations for improving process robustness, yield, productivity, and cost performance. Objective of the Project Develop an understanding of wafer thermal management and plasma strip processing in semiconductor manufacturing. Characterize the relationshi

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 990 Bendemeer Road, Singapore 339942 Department Storage Technology and Products Group Product Engineering, Project Title NAND Silicon Design Validation and Automated Data Analysis Project Description The intern will undertake a structured engineering project focused on the silicon design validation of advanced NAND products. Under the guidance of experienced engineers, the intern will develop an understanding of NAND operations, Verilog simulation, validation planning, laboratory measurement techniques, and silicon validation data analysis. The intern will gain practical exposure to testers, oscilloscopes, probe stations, scripting tools, and approved in-house engineering software. The project will also provide opportunities to explore Artificial Intelligence and Machine Learning-enabled workflows for validation data collection, report generation, and anomaly detection. The intern’s activities will be limited to the assigned project and conducted with appropriate supervision. Objective of the Project Develop an understanding of NAND operations and silicon design validation methodologies. Apply circuit and feature knowledge to develop a structured validation plan. Collect an

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 1 Woodlands Industrial Park D, Street 1, Singapore Department Dry Etch Manufacturing Project Title Predictive Modelling of Dry Etch Equipment Consumable-Part Lifetime for Cost and Productivity Improvement Project Description The intern will undertake a structured engineering project focused on identifying key consumable parts in Dry Etch equipment and studying the process and equipment parameters that influence their useful lifetime. Under the guidance of experienced engineers, the intern will analyze equipment, process, maintenance, and consumables-related data to develop a predictive analysis model for estimating part lifetime. The project aims to improve consumable utilization and cost efficiency while maintaining safety, product quality, equipment performance, and manufacturing yield. The project will provide exposure to Dry Etch equipment, lean manufacturing, cost management, data analytics, predictive modelling, dashboard development, and AI-Enabled engineering workflows. Objective of the Project Develop an understanding of Dry Etch equipment functions, processes, and key consumable parts. Identify equipment and process parameters that influence consumable-part lifetime

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Department F10 Manufacturing, Photolithography Project Title Internet of Things-Based Photolithography Equipment Monitoring and Anomaly Detection Project Description The intern will undertake a structured engineering project focused on developing an Internet of Things-based solution for photolithography equipment and process monitoring. Under the guidance of experienced engineers, the intern will study photolithography equipment behaviour, process flow, and available sensor signals. The intern will apply Python programming, data analytics, system integration, and selected Machine Learning techniques to develop or enhance a defined monitoring use case. The project will provide practical exposure to semiconductor manufacturing equipment, Internet of Things architecture, data ingestion, signal processing, visualization, and AI-Enabled anomaly detection. Project activities will be limited to the assigned use case and conducted with appropriate engineering guidance. Objective of the Project Develop a strong understanding of photolithography equipment behaviour, process flow, and process signals. Design and implement an Internet of Things-based solution for enhanced equipment or process monitoring. Ena

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 990 Bendemeer Road, Singapore 339942 Department Storage Technology and Products Group Product Engineering, System and Solid-State Drive Project Title Product Yield, Test Coverage, and Failure Analysis Improvement Project Description Micron’s Product Engineering organization develops and qualifies memory and storage products that meet high standards of quality, performance, and reliability. The intern will undertake a structured engineering project involving NAND Flash, high-speed memory products, and solid-state drives. Under the guidance of experienced engineers, the intern will gain exposure to product development, qualification, manufacturing ramp, testing, product characterization, yield analysis, and electrical failure analysis. The intern will collaborate with engineers and cross-functional stakeholders on an assigned product engineering challenge. The project may also include the development of an AI-Enabled analytical or automation solution to improve selected engineering workflows. Objective of the Project Develop an understanding of NAND Flash, high-speed memory, and solid-state drive product engineering. Evaluate test coverage and engineering data to identify yield, quali

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 1 North Coast Drive, Singapore Department Product Integration Engineering, Yield Enhancement Project Title Data Analytics for Yield Enhancement in Advanced Memory Manufacturing Project Description This internship provides structured exposure to yield enhancement challenges in advanced memory manufacturing. Through guided learning and supervised technical exploration, the intern will gain practical experience applying data analytics techniques to understand yield behaviour and identify potential improvement opportunities. The project will involve semiconductor probe-test data, electrical failure modes, fabrication-process metrics, multivariate analysis, Python-based analytics, and introductory Machine Learning techniques. The intern will also explore approved Artificial Intelligence and Generative AI tools to enhance data exploration, solution development, and technical documentation. The project emphasizes learning, skills development, and the practical application of analytical methods in a manufacturing environment. It is designed to prepare the intern for future engineering and data-analysis roles in the semiconductor industry. Objective of the Project Develop an understanding of yield b

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 DASG Architecture Lab and Customer Enablement Lab (CEL) teams provide the infrastructure, platforms, and technical expertise required to accelerate technology pathfinding, AI and system workload analysis, memory subsystem characterization, FPGA/LPDRAM prototyping, and customer enablement initiatives. These teams play a critical role in enabling architecture exploration, validation, and teamwork across engineering organizations and external partners. AI Efficiency and Usage is a must. AI proficiency or AI‑enabled ways of working where applicable. Agentic AI and Generative AI usage model is a must. Responsibilities Own the day-to-day bring-up, readiness, maintenance, and operational support of lab systems, racks, benches, test equipment, and reference platforms used by DASG Architecture Lab and Customer Enablement Lab teams. Deploy, configure, and maintain server, GPU, FPGA, client AI, mobile AI, analyzer, and environmental test equipment supporting workload characterization and technology pathfinding activities. Build and maintain stable, reproducible validation environments, including BIOS, BMC, firmware, operating systems, drivers, networking, remote access, and power and thermal configurations. Collaborate with architecture and validation teams to enable memory trace capture, workload analysis, DRAM replay, power and performance characterization, and data-driven engineering decisions. Develop and maintain operational processes for asset tracking, configuration management, equipme