Staff Senior Pac Engineer Jobs

About the Role We’re looking for a Senior Web QA Engineer to join our Web QA team and help maintain the quality of the core web experience used by millions of people every day. In this role, you’ll test the web products and work closely with engineers to find, report, and help resolve issues early. You’ll also look at how the web experience fits into the wider Perplexity product ecosystem, making sure key flows work consistently across surfaces. Key Responsibilities Test Perplexity’s web product across browsers, devices, and screen sizes, checking functionality, reliability, and performance throughout the development cycle. Run end-to-end integration testing with other Perplexity products, validating shared flows, accounts, and features. Work directly with engineers to prioritize critical bugs, write clear and actionable bug reports, and help get issues resolved. Create and maintain test documentation, including test cases, checklists, and test plans, keeping them current as the product changes. Analyze high-impact user-reported issues and incidents, then share insights that help improve both the product and our QA process. Fix small, low-risk issues yourself where appropriate, shipping simple fixes to reduce engineering overhead and speed up resolution. Qualifications 5+ years of experience in QA, with strong hands-on experience testing web applications Solid experience with web testing, including cross-browser and responsive testing, debugging with browser DevTools (console, network, performance), and validating functionality across environments and builds Experience with integration and end-to-end testing across multiple connected products or services Strong communication skills, with the ability to work effectively with engineering, product, and other QA teams Proactive use of AI coding tools (e.g. Cursor, Claude Code) to navigate the codebase, debug issues, and ship small fixes independently

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. Job Description As the Global Facilities Regional Engineering Electrical Engineer you will be responsible for providing technical support, expertise, and lead business process alignment on construction project design, management, schedule, cost control, testing & commissioning, operational and maintenance programs for the facility Electrical systems at all manufacturing sites in your location / region. As a global team member residing in your current site/geography, you will represent all facility design standard alignment, construction project management, O&M BKM alignment initiatives. You will also support the Global Facilities Central Engineering Team, Construction Team , Line Planning Team and O&M Team in providing critical design standard alignment, supplier quality improvement, operational and maintenance input and support construction projects. Critical metrics include construction project management, schedule, cost control, safety

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. Develop and deploy transformative, model‑based solutions to improve frontend yield, quality, and technology ramp performance. Apply virtual structure modeling, process simulation/emulation, and advanced analytics to understand sophisticated lithography‑film‑etch interactions and prescribe actionable process solutions. Leverage AI and data‑driven techniques to accelerate yield learning, process window characterization, and integration optimization. Collaborate with PIE, Process/Equipment, Metrology, and SMAI , and other cross‑functional partners to design, validate, and deploy solutions into manufacturing. Drive solution deployment across sites, including technology transfer and ramp support. Maintain strong engagement in research and development , continuously evaluating emerging modeling, simulation, and AI methodologies for semiconductor manufacturing. Contribute to knowledge sharing, technical mentoring, and capability building within the FE engineering community. Requirements / Qualifications Education Master’s or PhD in Electrical Engineering, Computer Engineering, Industrial & Systems Engineering, Mechanical Engineering, Chemical Engineering, Materials Engineering, Applied Statistics, Applied Mathematics, Operations Research , or other relevant engineering/science fields. Experience More than 5 years of working experien

Global Facilities Staff/Senior Engineer - Electrical FAC — Hiroshima - Fab 15, Japan. Apply via Workday.

Global Facilities and Construction South Asia Staff/Senior Engineer - Chemical — Fab 10A, Singapore. Apply via Workday.

Construction Ultra Pure Water & Waste Water Treatment Staff / Senior Engineer — Fab 10N/X, Singapore. Apply via Workday.

Scale is hiring a Staff/Senior Product Designer to lead product design for Scale’s rapidly growing ‘AI for Enterprise Data’ business unit. The mission of AI for Enterprise Data is to accelerate the deployment of AI by helping large enterprises solve their most ambitious challenges. This role will take on multiple products ranging from 0-1 initiatives to improving established products. This includes a suite of powerful AI tools for insurance AI, document processing, and more. Responsibilities Design end to end user flows, wireframes, high-fidelity mockups, and interactive prototypes for desktop web applications. Partner with Product Managers, Engineers, Data Scientists, and Operations team members to solve product and business challenges. Advocate for the voice of the user as the founding designer of the business unit. Prioritize and execute work in a fast paced environment with rapid timelines and high amounts of scope and ambiguity. Contribute to the evolution of our company-wide design system and interaction patterns. Take ownership to identify product gaps and rally support for proposed solutions. Qualifications Experience leading end-to-end B2B and enterprise web applications. Extremely high proficiency in Figma, fast execution speed is a must. Experience designing dashboards, data visualization, domain-specific editors, and forms. Understanding of front-end development processes for web interfaces. Strong communication and collaboration skills, including customer-facing meetings. Portfolio of product design projects that highlight your diversity of skills. Nice-to-haves Exposure to artificial intelligence, machine learning, and other technical concepts. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develo

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestra

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. As a Staff/Senior engineer, you will be a part of revolutionary next generation NAND research & development dry etch team driving critical modules listed below. The position promises ample opportunities for innovation, collaboration and testing a new dimension and scaling with next generation NAND . You will work directly with process integration and other process areas such as Wet etch, CVD, Diffusion, Metals, Lithography & CMP. You will work on state of the art and best in class dry etch chambers & own the process roadmap to meet program and yield goals. Your responsibilities include, but not limited to: Job Responsibilities : Developing dry etch processes to meet the physical & electrical requirements of Micron’s products. Optimizing dry etch processes to reduce cost, process variability, and improve process capability. Collaborating with process integration and other process development teams to develop innovative new solutions.

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. Job Overview As a Staff/Senior Process Development Engineer within PDE-CEM, you will leverage advanced semiconductor process characterization, failure analysis, yield analytics, and process integration expertise to accelerate product and technology development. The role focuses on developing robust assembly processes, improving yield and reliability, supporting New Product Introduction (NPI), and utilizing data-driven methodologies to optimize manufacturing performance. The ideal candidate combines strong semiconductor physics knowledge, advanced characterization skills, yield improvement experience, and cross-functional leadership capability to drive continuous process innovation and manufacturing excellence. Key Responsibilities Process Development & Characterization Develop and optimize Process of Record (POR) for assembly and packaging technologies. Establish process windows, process capability targets, and characterization strategies. Apply statistical methodologies including DOE, SPC, JMP, and Six Sigma to characterize and optimize manufacturing processes. Drive early process learning through advanced characterization and failure analysis techniques. Yield Improvement & Problem Solving</

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. As a Staff/Senior engineer, you will be a part of revolutionary next generation NAND research & development dry etch team driving critical modules listed below. The position promises ample opportunities for innovation, collaboration and testing a new dimension and scaling with next generation NAND . You will work directly with process integration and other process areas such as Wet etch, CVD, Diffusion, Metals, Lithography & CMP. You will work on state of the art and best in class dry etch chambers & own the process roadmap to meet program and yield goals. Your responsibilities include, but not limited to: Job Responsibilities : Developing dry etch processes to meet the physical & electrical requirements of Micron’s products. Optimizing dry etch processes to reduce cost, process variability, and improve process capability. Collaborating with process integration and other process development teams to develop innovative new solutions.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team & role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Robinhood Command Center (RCC) is a newly formed reliability team that serves as the front line for detecting, coordinating, and mitigating production incidents across Robinhood. As part of Robinhood’s broader reliability initiative, RCC works closely with product engineering, reliability, observability, infrastructure, and business teams to reduce customer impact and shorten incident duration. As a Staff Senior Engineer, you will be part of the founding RCC team, helping define how Robinhood responds to and learns from incidents at scale. This is a highly visible role focused on incident leadership, operational excellence, and reliability tooling. You will not own product services or core infrastructure, but you will own the processes and tools that enable fast, high-quality incident response. This role is based in our Menlo Park, California office, with in-person attendance expected at least 3 days per week. What you'll do: Serve as a technical leader driving the long-term reliability and observability strategy across Robinhood’s infrastructure Partner closely across many different types of engineers to raise the bar for operational excellence and incident re

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 Staff/ Senior Emission Analyst in Global Sustainability Team, you will be responsible for leading critical emissions data collection at Micron’s R&D and manufacturing sites globally utilizing FTIR and/or other forward-looking analytical technologies. You will be working in close partnership with instrument suppliers and/or vendors, site environmental sustainability leadership teams, site manufacturing teams, site facility teams, global smart manufacturing teams, global labs etc. to perform measurement, optimize measurement methodologies, write and document measurement reports, and provide data insights and recommendations to propel Micron towards the goal of achieving net zero emissions. Responsibilities Perform Actual Emissions (process greenhouse gas etc.) Measurement & Reporting FTIR and/or analytics technologies pre-measurement calibration. Coordinate with site manufacturing team for process recipe and dilution flow requirement. Partner with site manufacturing and/or facility teams to perform abatement destruction and removal efficiencies (DRE) measurement and optimize abatement, setpoints where required. Analyze measured data and write measurement reports (DRE etc.) according to international standards. Use of Artificial intelligence and data analysis techniques to provide critical insights to reduce emissions at Micron. FTIR and/or analytical technologies maintenance and troublesh

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like A