Production Cleaning Specialist Jobs

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. We are now looking for a Diagnostic NIC Software Engineer. The NPI Diag TW team is searching for Firmware Software Engineer to develop efficient secure and stable diagnostic firmware/software tools and scripts to enable factory build and debugging on NVIDIA products. In this role, engineers should be able to develop, maintain, debug CX/BF chip firmware/software and NBU Diagnostic software upon the next generation NVIDIA DGX/MGX servers, GPU baseboard, and PCIe cards. You will participate in a focused effort to develop and productize ground-breaking solutions that will be applied on many NVIDIA products. You'll find the work is exciting, fun, and meaningful. We have deadlines, customers, and competitions. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our firmware team, you will be a key leader responsible for the Firmware of our DGX/GPU software stack. What you'll be doing: Be involved in the definition, architectural design, and development of security Diag tool and test coverage planning for NVIDIA DGX products with an opportunity to craft its future. Assist with defining and making sure the software development process meets security and performance standards. Design and/or make recommendations for Network solutions that apply to our software to satisfy DGX/GPU server guidelines and requirements. Design Diag tool and scripts to make sure DGX/GPU products go for production smoothly. Design Diagnostic software to help validate GPU/CPU/NIC/DPU HW with good performance and quality. <

The Opportunity Typography is central to how ideas are communicated. If you're passionate about beautifully created design, have deep curiosity about what AI can do, and take personal responsibility for creating products that people love; then this may be the role for you. Adobe Fonts supports millions of creatives in choosing and using typefaces across fonts.adobe.com, Express, Photoshop, Illustrator, Acrobat, and more Creative Cloud platforms. Our Internal Services team provides the platform engineering and deployment backbone for all of these. We manage CI/CD, deployment approaches, the services and data layers our engineers depend on, our observability and security stance, and increasingly the agentic tools that transform how our entire organization delivers software. We're seeking a Senior Software Development Engineer to lead this exciting journey in our San Francisco location. What you'll do Own and evolve our deployment platform. Lead strategy for CI/CD, PR environments, and release safety across a mixed fleet that includes containerized services, serverless services, and static front ends. Build the foundation for AI-accelerated development. Help build our agent factory and grow our internal agentic toolkit and skill library. Ship inference applications at scale. Take greenfield services from spec to production and standardize our ML/inference footprint. Modernize our services for the AI era. Identify where an existing service is held back by its current build and lead the fix. Rethink our security posture for agentic threats. Lead how we secure autonomous agents and their tool use. Expose Adobe Fonts to the agentic ecosystem. Extend our Model Context Protocol (MCP) surface and conversational, intent-based font discovery. Work higher up the stack, too. Contribute directly to search, browse, discovery, and the customer-facing experie

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build the systems where SAP meets AWS — extending our enterprise ERP with cloud-native services and agentic AI to power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll work on SAP-side development (ABAP, CDS, RAP, OData) and AWS-native engineering (Lambda, Step Functions, MCP servers, Bedrock, CDK) — owning integrations end-to-end. About the Role You'll work at the intersection of SAP enterprise systems and modern cloud engineering — building AWS-hosted APIs and pipelines that talk to SAP, standing up agentic AI tooling (MCP servers, Bedrock agents, Claude-powered workflows) that automates Finance operations, and shipping production AWS services alongside SAP customizations. The business problems are well understood; how you solve them with SAP + AWS + AI is up to you. We need someone equally comfortable writing ABAP inside SAP GUI and Python/TypeScript infrastructure code against AWS — a full-stack enterprise engineer who ships across both worlds and raises the bar on automation. You Will SAP Engineering (~50%) Design, build, and maintain integrations between SAP (S/4HANA, BTP) and downstream systems — own

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Company Description Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations — including JetBlue, Nordstrom, Slack, and Twilio — trust Okta to protect the identities of their workforces and customers. Position Description We are looking for an experienced Senior Software Engineer – UI to join our Identity Platform engineering team. You will own the design and delivery of complex, enterprise-grade frontend experiences that power Okta's identity lifecycle management capabilities — including admin configuration flows, wizard UIs, real-time progress tracking, and bulk operation workflows. You will partner closely with Product Management, UX, and backend engineers to translate complex enterprise identity requirements into intuitive, accessible, and performant web applications. This is a hybrid position. Job Duties and Responsibilities - Frontend Ownership: Independently own and deliver complex UI features end-to-end — from design collaboration through production deployment. - Architecture & Standards: Lead frontend architectural decisions, enforce code quality, accessibility, perfor

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are seeking experienced professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team to help create exciting new offerings and capabilities for our customers! In this strategic role, you will help customers expand their use of the Snowflake Data Cloud to bring AI/ML pipelines from ideation to full production. Leveraging Snowflake’s native features and extensive partner ecosystem, you will advise clients on best practices for scaling production-ready workloads. You will design tailored AI/ML solutions, coordinate closely with customer teams and Systems Integrators, and provide the technical leadership and oversight needed to ensure successful outcomes. AS A PRINCIPAL SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL: Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack. Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery. Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements. Work hands-on where neede

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. Micron in Taiwan Micron’s global footprint is designed to deliver comprehensive customer collaboration, support and quality around the world and throughout the product lifecycle. Taiwan plays a meaningful role in strengthening Micron’s position in leading-edge DRAM. Micron’s Taiwan sites include sales and technical support in Taipei along with state-of-the-art fabrication facilities in Taichung and Taoyuan that together comprise the company’s DRAM Center of Perfection. The Center’s goal is to achieve the most efficient and effective technology transfer and manufacturing ramp by combining front- and back-end manufacturing, product engineering and technology development roles. Job Description The AMHS Shift Technical Engineer is responsible for maintaining and sustaining the OHT (Overhead Transport), OHS system(Overhead Shuttle), Normal Stockers, Tower Stockers, BWS (Bare Wafer Stockers), Sorters, N2 purge tools, Carriers, Carrier/Wafer Packing Tools, and ASRS. Responsibilities and Tasks 1. Work with supplier for regular AMHS maintenance (PM). 2. Work with IT and vendor as automation on duty help desk for production trouble shooting (include Micron system and AMHS system, AMHS H/W). 3. Automation project support 4. Regular report update 5. Using AI Other Requirement&#

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: Strategize and lead productivity, yield, quality, cost improvement engagement with global sites and network team via process optimization, new/FOAK chemistry & technology qualification, CIP development collaboration with suppliers. Collaborate with cross functional team for breakthrough in defects reduction and particle removal efficiency enhancements. Develop roadmap for process and hardware CIP implementation Drive process & hardware improvement development with an emphasis on safety, defect reduction, cost efficiency, scale, quality, and sustainability in Wet Process (SWC, Bench, Scrub, Backside, Bevel, etc.). Collaborate with suppliers to establish equipment start-up acceptance criteria and tool service requirements, and work with global facilities to address new tool requirements. Improve tool efficiency and utilization across all Micron sites through benchmarking and innovative pathfinding solutions. Set up IoT sensors for defense line strengthening in Wet tools and develop new solutions for excursion prevention. Establish and improve process conditions and technology, upgrade process capability, and reduce production costs. Enable new solutions for energy savings, water conservation and waste reductions. Integrates AI-assisted tools and insights into daily work to improve efficiency, q

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. Micron’s DRAM Design Engineering Group (DDEG) is where innovation meets excellence. We are advancing memory and storage technologies through collaborative engineering and creative problem-solving. Our team works at the forefront of semiconductor design, developing solutions that shape the future of memory products in a fast-paced, learning-focused environment. As a Design Verification Engineer, you will help develop next-generation memory technologies by verifying and optimizing digital and analog circuit designs. In this role, you will work closely with global multi-functional teams across the product lifecycle to deliver high-quality, manufacturable memory solutions that meet performance, reliability, cost, and customer requirements. Your work will directly contribute to bringing advanced memory products from concept to production. Responsibilities: Verify circuit functionality, reliability, power, and compliance with product specifications Drive verification planning, coverage closure, circuit debug, and design improvements Perform circuit modeling and simulation using industry-standard tools Support silicon validation, reticle experiments, and tape-out activities Partner with engineering, manufacturing, and product teams to deliver manufacturable designs Minimum Qualifications: Bachelor’s degree in Electrical Engineering or a related field 4&#43; years of semiconductor design, verifi

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 a Metrology Operations Shift Engineer at Micron Technology, Inc. in Manassas, VA (MTV), you will be responsible for investigating, improving and maintaining measurement recipes within the Metrology department. You will work with applications team and shift team members within the department as well as shift engineers from other process areas to investigate and resolve any measurement recipe related issues as well as equipment related issues occurring within the fabrication line! Responsibilities: Resolve recipe issues with line monitoring, analyze tools, identify root cause, and intensify to process engineering teams. Engage process areas regarding measurement and inspection recipe related investigations and works with their engineering teams to identify plan of action. Involves themselves in fab-wide events that may have impacted production quality. Can organize and drive RDA/Metrology shift actions to respond to such events! Works with first shift engineers to understand recipe related concerns and is involved in execution of shift actions that are associated with such work. This includes creating recipes for new part types on all toolsets and creating custom recipes with GDM for difficult lots. Process DTS case closures and MWR’s. Provide real-time feedback to shift team members when there are any issues that are identified with these documentations. Manage WIP in the area by monitoring lots and KPI holds in the area. Ensure proper focus is placed on prior

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Can communicate results with internal customers. Requires the ability to work independently, as well as in cooperation with a variety of customers and other technical professionals. What you'll be doing Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation jobs. Can explain technical solutions and resolutions with internal customers and communicate feedback to the ETL team. Perform technical code reviews for peers moving code into production. Perform and review integration testing before production migrations. Provide high level of technical support, and perform root cause analysis for problems experienced within area of

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. What you’ll be doing: As part of Operations Engineering team that plays a key role in developing new IC products, you will design, develop, and implement cost-effective methods of ATE testing. Offer creative solutions to improve test methodology of existing solution. ATE test method code debugging and development Scripting tools debugging and development Web-based tools debugging and development Help to solve production issues or throughput issues that might be related to test methodology What we need to see: Master/Bachelor degree in Engineering or Science 5&#43; years related working experience In-depth knowledge and hands-on experience in Advantest 93K ATE or other ATE platform Good skills in programming languages such as C/C&#43;&#43; or Java Strong problem-solving capability English communication capability is required Strength in presenting to technical audiences and generating content for developers Critical thinking, solution focused and attention to detail Ways to stand out from t

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. 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 seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What you will be doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuous