Staff Senior Pac Engineer Jobs

Zoox is looking for an AWS Cloud Security Engineer to lead the design and implementation of secure, scalable, and software-defined infrastructure in our AWS cloud environment. This role is responsible for establishing best-in-class security practices across AWS, driving automation-first infrastructure security, and partnering with engineering and platform teams to embed security into every layer of our technology stack. You’ll act as a security champion, ensuring that infrastructure designs meet the highest standards of confidentiality, integrity, and availability — while maintaining operational efficiency and scalability through Infrastructure as Code (IaC). In this role, you will: Define and own the multi-year security architecture and roadmap for Zoox's robots and fleet, spanning embedded/firmware, in-vehicle networks, cloud, and supporting infrastructure. Partner with hardware, firmware, autonomy, and infrastructure engineering teams to embed security requirements into system design from the ground up, rather than bolting them on after the fact. Lead threat modeling and architecture reviews for new vehicle platforms and major feature launches, identifying and prioritizing systemic risk across the fleet. Set technical standards and guardrails - secure boot, key management, network segmentation, update/OTA security, and more - and drive their adoption across engineering teams. Represent Product Security in cross-functional and leadership discussions, translating technical risk into business and safety impact for the organization. Qualifications 10+ years of experience in security engineering, including significant time in an architect, staff, or technical lead capacity. Deep expertise in embedded/IoT security, including secure boot, TPM/TEE, cryptographic key management, and hardened firmware/OS design. Demonstrated experience architecting security for complex, physical/cyber-physical sys

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 troubleshooting in collaboration w

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 Fab Engineer at Micron Technology, Inc., you will be working with a team of other process and equipment engineers responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. This position will identify, diagnose and resolve process related problems by applying failure analysis, FMEA, 8D or SPC methodology. Additional responsibilities include coordinating and carrying out process, equipment and material evaluation/optimization to implement changes at process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing and liaising with material suppliers to achieve quality, cost and risk management objectives. Drives Front-End (FE) Cost Excellence and Max Out performance by leading cross-functional programs aligned to corporate business objectives, with accountability for defining program scope, governance, methodologies, and delivery of key performance targets such as IPP goals and productivity improvements. This role establishes structured program management practices, manages dependencies, ris

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 Responsible for both product development and supporting high volume manufacturing of SSD. Support for SSD failure analysis from NPI to HVM stage. Perform manufacturing yield evaluation and data analysis. Perform detailed electrical and physical failure analysis and work with other departments to resolve SSD related issues. Troubleshooting failure from customer return and provide solutions to fix the problems. Requirements: Bachelor or Masters degree in Electrical/Electronic Engineering or Computer engineering. Relevant experience in SSD industry will be an advantage. Relevant experience with computer hardware, knowledge of storage interface such as SATA, SAS will be an advantage. Proficiency in programming languages such as C, C++, Python, Perl and etc. Proficiency in using AI technology (Claude, Copilot) in improving productivity. efficiency and data analysis. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people

The Software Systems Infrastructure team is responsible for aiding the Software Systems organization with all its internal tooling needs, development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles. We are a fullstack high-paced software engineering team. In this role, you will help establish infrastructure, design and develop software tools that will automate, track or audit processes and methods needed to build safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software, systems and firmware engineers across the Zoox software organization, ranging from state-of-the-art AI Perception, all the way to highly-critical RTOS and middleware components. In this role, you will: Lead the design and development of Geofencer across the stack: a React/TypeScript single-page application with rich interactive map editing (deck.gl, Mapbox), and Python backend services (FastAPI, SQLAlchemy/GeoAlchemy2, Celery) on PostgreSQL/PostGIS. Own core geospatial data workflows: versioned geofence editing, road-network annotation, drivable-area computation and connectivity validation, and the Plan of Record release process that publishes operational constraints to the fleet. Integrate with the broader Zoox ecosystem: the Zoox Road Network (ZRN) map graph, S3 artifact pipelines, downstream fleet and mission systems, and ML-assisted annotation workflows. Operate production infrastructure: 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. Responsibilities Drive Cost and/or Max Out goals • Understand short-term and long-term Cost, Max Out goals within Front End and ensure alignment to corporate business goals. Initiate and drive cross-functional programs to achieve corporate business goals • Facilitate the definition of program scope, goals, deliverables, timeline and resource requirements in collaboration with sponsors and stakeholders • Manage the definition, refinement, and implementation of core methodologies and tools for business process including reporting • Drive delivery of IPP Goals Performance Deliver tactical support and program management • Establish structure and manage program dependencies, prioritize programs, track program milestone and deliverables • Enable program success through subject matter expertise • Deliver program proposals and regular progress reports • Identify potential road blocks, develop and execute resolution plans • Facilitate regular meeting cadence with key business partners • Engage with key stakeholders and leadership teams to assess program strengths and identify areas for improvement Communication • Conduct regular communication update to Sen

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researcher

Location(s): US (remote), Boston (hybrid), or New York (hybrid) Who We Are Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We are looking for a Staff Software Engineer to join the Voice AI Team. On the Voice AI Team, our mission is to build and operate the voice platform that powers Toast and to ship novel applications on top of it that create real value across Toast's customer base. This is a greenfield space where the platform and its use cases are being defined together, and the work you do here will be foundational to how Toast uses voice AI for years to come. As a Software Engineer on this team, you'll take ownership of significant projects end-to-end: designing systems, driving execution across the team, and making the technical decisions that shape how the platform grows. You'll work closely with product, engineering, and stakeholders across Toast to turn ambiguous problems into reliable, scalable systems. About this roll* (Responsibilities) Design, build, deploy, and maintain highly resilient and scalable backend services, applications, and core platform components supporting Toast's Voice AI platform used across teams Conceive and lead complex, cross-cutting projects from design through production, owning outcomes and driving alignment across stakeholders and across a broad range of stakeholders Shape the technical direction on your team and beyond by making architectural decisions, defining patterns, and reducing complexity for the engineers and teams that depend on your work Build and evolve integrations with AI platforms and internal Toast systems, making pragmatic tradeoffs between speed, reliability, and long-term scalability Establish and implement patterns for observability, monitoring, and evaluation frameworks for AI-powered systems, using production data to understand and continuously improve system behavior Set a

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. We are currently looking for motivated individuals to join Micron Technology Inc. Central Engineering (CE) - Product Yield Enhancement (PYE) Engineering Team. As CE PYE Failure Analysis (FA) Engineer for Micron Technology, Inc., you will be responsible for providing full fault isolation and failure analysis support for qualifications, customer returns, new device introduction, and test failures. You will become the subject matter expert on fault isolation and physical failure analysis methods. As the CE PYE FA Engineer, you will be responsible for understanding all relevant methodologies to isolate electrical failures by working closely with Product Engineering Teams. You will also have a thorough understanding of the product architecture, process flow, and test sequence to work with Process Integration, Product, Test, and Quality Reliability Assurance Engineering groups ensuring physical defects are root-caused and classified. Responsibilities: Perform sophisticated electrical device characterization to determine electrical fail mechanisms. Operate fault isolation equipment to accurately narrow down failure defect locations. Conduct physical failure analysis to identify and classify physical defects. Establish and hypothesize potential electrical

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

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 Position Summary As an IoT Engineer, Engineer based in Singapore, you will design, build, and deploy Industrial IoT (IIoT) and machine vision solutions to support advanced packaging technology development and factory enablement. You will implement hands-on engineering work from proof-of-concept through deployment and sustainment, contributing to scalable and secure solutions that improve quality, productivity, and early risk detection. You will collaborate cross-functionally to translate manufacturing needs into measurable signals, robust data pipelines, and actionable insights, while operating with a strong safety mentality and a bias for practical, reliable delivery. Key Responsibilities Develop and deploy IIoT solutions end-to-end: sensing strategy, edge compute, connectivity, data ingestion/storage, monitoring, and sustainment (including data quality and traceability). Build machine vision solutions: support hardware selection (cameras/optics/lighting), image acquisition strategy, algorithm development, performance validation, and deployment readiness. Work with process, equipment, automation, quality, and IT/data platfor

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. Role Overview As a Product Yield Enhancement (PYE) Engineer, you will be part of a global cross‑functional team responsible for ramping yield of products from New Product Introduction (NPI) through high‑volume manufacturing and maturity. In this role, you will learn to perform data‑driven yield analysis and root‑cause debugging from Frontend through Backend. This role also requires performing in-depth electrical failure analysis to identify root causes of backend failures and enable fast, data-driven resolution. You will be encouraged to explore and apply AI‑assisted tools, automation, and analytics to help reduce repetitive manual work, simplify data analysis, and improve day‑to‑day engineering efficiency. With guidance from experienced engineers, you will collaborate with worldwide cross‑functional teams to develop technical depth, problem‑solving skills, and deliver high‑quality products to Micron’s customers. Key Responsibilities Perform data analysis across Frontend, Backend and Test to identify yield limiters and drive root‑cause diagnostics using advanced analytics, automation, and AI‑assisted tools Conduct electrical characterization and failure analysis using Micron in‑house bench testers and advanced fault‑isolation techniques to localize ph

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. We are an ambitious AI hardware startup building next-generation accelerators with massive compute density. To achieve aggressive Power, Performance, and Area (PPA) targets on accelerated tapeout schedules, we require a robust, highly automated, and heavily optimized physical implementation and signoff flow. The Role As a Staff / Senior Staff CAD & Methodology Engineer, you will be the resident expert in Innovus and Tempus, responsible for developing, debugging, and continually accelerating our RTL-to-GDSII and timing signoff flows. You will work closely with Physical Design and STA leads to eliminate bottlenecks, automate manual tasks, and push the limits of EDA capabilities at advanced process nodes. Key Responsibilities Flow Architecture & Automation: Architect, develop, and maintain a highly automated, robust, and scalable physical design and signoff flow from synthesis through GDSII, optimized for AI accelerator architectures. Innovus Methodology: Drive advanced physical design methodologies in Cadence Innovus. Optimize recipes for floorplanning, placement, Clock Tree Synthesis (CTS), routing, and power grid implementation to squeeze out maximum PPA. Tempus Signoff Integration: Own the STA and timing signoff methodology using Cadence Tempus. Implement and optimize Distributed Multi-Scenario Analysis (DMSA), advanced OCV methodologies, and automat

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researcher

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. Key Responsibilities Define and implement security test strategies for SSD firmware across all product phases Design and execute grey-box and white-box tests for security features and protocols Perform deep root-cause analysis on security failures from regressions, customer issues, and field escapes Drive test automation, regression integration, and quality reporting Collaborate closely with firmware teams on secure design reviews and issue isolation Mentor junior engineers and provide technical guidance on test methodologies and debugging Key Skills & Experience Strong understanding of SSD architecture and PCIe / NVMe protocols Experience with NVMe command sets, firmware lifecycle, and update flows Proficiency in Python-based test automation and embedded systems Hands-on experience in firmware validation and system-level debugging AI Responsibilities: • Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. • Contributes to a culture of continuous improvement by identi