Staff Quality Engineer Jobs

Senior/Staff Facilities High Voltage Electrical Engineer — 2 Locations. Apply via Workday.

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The FlashArray team builds an innovative, high-performance, and highly available portfolio of products designed for demanding, mission-critical applications. While we deliver a hardware storage array, over 90% of our engineering team focuses on software engineering. Our customers value FlashArray for its simplicity of management, continuous feature upgrades, and ability to stay on the cutting edge without downtime. Recently, we extended these capabilities into the public cloud with CloudSnap and Cloud Block Store for AWS, enabling customers to leverage cloud agility for both traditional IT and cloud-native applications. WHAT YOU’LL DO Design & Implement: Create innovative algorithms and technologies for high-performance systems targeting six-nines (99.9999%) reliability. End-to-End Ownership: Lead feature innovation from initial concept through to shipped product. Problem Solving: Analyze and resolve complex technical challenges through persistent problem-solving and technical insight. Collaborate & Deliver: Partner closely with smart, collaborative peers to deliver features that directly enhance customer experience and satisfaction. Learn & Grow: Continuously expand domain expertise in systems software within a supportive, knowledge-sharing environment. WHAT YOU BRING Software Development Experience: 3+ years of professional development experience using C, C++, Python, Go, Java, or relat

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Our engineering team thrives on challenging the norm and drawing from diverse technical backgrounds to build some of the industry’s most reliable, intuitive systems. We are forming a dedicated AI Applications team focused on building systems, tools, and processes that elevate the developer experience and accelerate innovation. We are seeking an experienced Senior Platform Engineer to lead the "Inner Loop" of AI development. In this role, you will bridge high-velocity AI experimentation and enterprise-grade production infrastructure ensuring LLM applications, RAG pipelines, and agentic workflows are built, tested, and deployed with high reliability and efficiency. WHAT YOU’LL DO Deliver Platform Self-Service: Design internal APIs and abstractions allowing engineers to provision AI-ready environments complete with model weights, vector databases, and event streams via single-command automation. Build Agentic & Go-Based Automation: Develop robust, type-safe internal tooling and AI agents in Go and Python to automate root-cause analysis, disaster recovery, and proactive infrastructure optimization. Scale Event-Driven AI Pipelines: Architect asynchronous processing systems using Kafka and RabbitMQ to trigger dynamic infrastructure scaling and handle high-volume data streams like long-running document ingestion. Ensure Reproducible Deployments: Maintain "Golden Path" deployment standards using Docker and Kubernetes

About the Role The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. Key Responsibilities Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unn

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. Position Overview As a Micron Singapore Construction ELV Engineer, for the design, installation, and commissioning of ELV systems in semiconductor manufacturing facilities. This role involves ensuring that the critical systems for communication, security, and control are properly integrated and functional to meet project requirements. Key Responsibilities: ELV System Design & Engineering: - Design and develop ELV systems such as Life Safety System (LSS), fire alarms, CCTV, access control, public address systems, structured cabling, and building management systems (BMS). - Perform detailed ELV system layout, cabling schedules, and interface drawings to ensure smooth integration with electrical and mechanical systems. - Select and specify appropriate ELV components and devices, ensuring they meet project specifications and comply with local and international standards. - Collaborate with other engineers (electrical, mechanical, etc.) to coordinate ELV designs with other building services. Stakeholder & Program Management -Serve as the primary point of contact for internal and external stakeholders, including project owners, consultants, contractors, and suppliers. -Facilitate

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 Summary As a Staff/Senior Engineer – Mechanical Systems at Micron Singapore, you will lead and oversee the planning, design, construction, testing, commissioning, and operational readiness of both wet and dry mechanical systems in semiconductor facilities. This role requires extensive technical expertise and strong project management capabilities to drive complex infrastructure programs that support Micron’s business objectives. Design & Engineering Oversight: - Lead the design and engineering of mechanical systems, including but not limited to Wet Systems: Chilled water, cooling water, make-up water, fire protection, PCW, plumbing, sanitary systems, and underground services. Dry Systems: HVAC, process exhaust (general, solvent, ammonia, acid), process vacuum, compressed dry air, cleanroom and non-cleanroom makeup air systems. - Review and approve technical specifications, equipment selection, and detailed engineering drawings. - Coordinate with cross-disciplinary teams (electrical, structural, process) to ensure the integration of mechanical systems. - Evaluate innovative technologies to enhance system efficiency, performance, and sustainability. -Lead and deliver the detailed design,

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. Position Overview Micron Singapore is seeking a highly skilled and motivated Gas Staff Engineer / Senior Engineer – Construction to join our dynamic team. The successful candidate will be responsible for the design, specification, installation, commissioning, and optimization of high-purity gas delivery systems in semiconductor manufacturing facilities. This role ensures safe handling, efficient distribution, and compliance with all relevant codes and safety regulations, while collaborating with cross-functional teams to deliver projects on time and within budget. Key Responsibilities Design & Engineering Design specialty and bulk gas delivery systems, including storage, distribution piping, process integration, and effluent scrubber units, ensuring stringent purity and safety requirements for semiconductor fabrication. Develop detailed engineering drawings, P&IDs, and specifications for all gas systems. Perform flow, pressure, and compatibility calculations to optimize system efficiency. Specify critical components and ensure designs meet all applicable codes and regulations (NFPA, FM, UBC, UFC, UMC, IBC, IMC, IFC, NEC, SEMI, OSHA, NEA etc). Conduct research and development on emerging facilities and technologies

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Finance Risk and Controls Testing team is seeking a highly motivated professional to join our growing team for non-IT SOX control testing. As a member, you are responsible for auditing the non-IT SOX controls over financial reporting to ensure compliance with the Sarbanes-Oxley Act Our testing covers business segments: Multifamily, Single Family and Investments & Capital Markets. The assessments cover a combination of process & entity level controls, and controls within accounting and operational processes that collectively provide comfort over financial reporting at Freddie Mac. Our Impact: Our team is responsible for the SOX framework and testing for Freddie Mac. We evaluate the effectiveness of Internal Controls over Financial Reporting based on the review of design and operating effectiveness of controls by working closely with management and external auditors. Your Impact: In this role, you will be an integral part of the manual testing team and will be expected to do the following: Maintain a current understanding of Sarbanes-Oxley (SOX) requirements, PCAOB Standards, and relevant accounting and regulatory guidance (including Generally Accepted Accounting Principles). Develop and maintain positive and collaborative relationships with the business area team members and management, and with external auditors. Perform walkthroughs of the key processes and obtain in depth understanding of the risks over financial statements and related disclosures Perform design and operating effectiveness assessment

About the Role The Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them. This is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time. Key Responsibilities Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID. Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows. Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings. Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation. Build admin-facing analytics for adoption, usage,

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a DevOps Engineer, you will specialize in managing, automating, and optimizing our hybrid cloud infrastructure—spanning VMware, OpenStack, multi-cloud platforms, and enterprise Kubernetes. In this role, you will be instrumental in ensuring the high availability, scalability, and performance of critical services. Partnering closely with cross-functional teams, you will architect infrastructure automation solutions that streamline engineering operations, empower developers through self-service lifecycle management, and support business growth. WHAT YOU’LL DO Architect & Scale Infrastructure: Design, deploy, and maintain scalable multi-cloud and on-premises environments across VMware, OpenStack, and bare-metal Kubernetes clusters to meet organization-wide standards. Automate CI/CD & Workload Lifecycles: Develop infrastructure-as-code and automated CI/CD pipelines to streamline day-to-day operations and enable self-service VM and container lifecycle management for engineering teams. Drive Observability & System Reliability: Establish enterprise observability standards—leveraging monitoring, logging, and metrics frameworks—to maintain high uptime and rapidly diagnose complex infrastructure issues. Collaborate & Modernize Operations: Partner with internal business units to translate technical requirements into robust architectures, share DevOps best practices, and continuously optimize platform effici

NVIDIA’s Test Design Engineering (TDE) group designs, develops, validates, and deploys production test solutions for our networking portfolio, including network interface cards (NICs), SmartNICs and DPUs, NVLink systems, and Ethernet switches. Our teams in Israel and Vietnam support testing at contract manufacturer (CM) production sites worldwide. In this Santa Clara-based role, you will connect TDE with NVIDIA’s engineering and operations teams. You will help shape test strategies, coordinate technical decisions, and bring shared software and test capabilities into networking production testing. Your experience with production testing and systems such as servers, PC reference validation platforms (RVPs), and other multi-component hardware will help teams develop test solutions that meet both engineering requirements and manufacturing needs. What you’ll be doing: Partner with Santa Clara test engineering teams to develop production tests for platforms that combine networking ASICs, microcontrollers (MCUs), and other components. Guide test architecture, coverage, and failure diagnosis for complex hardware platforms, drawing on your experience developing and deploying production tests. Work with security teams to incorporate security requirements into test methods and workflows. Coordinate technical decisions, priorities, and dependencies across teams so TDE’s roadmap stays aligned with GPU engineering and platform development. Collaborate with CPU and GPU test diagnostics teams to reuse software, components, and test flows, with a focus on shared capabilities across L10 and L11 system test levels. Participate in new platform projects from the planning stage, bringing TDE’s requirements and expertise i

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. Position Overview Micron Singapore is seeking a highly skilled and motivated Chemical Senior Engineer / Staff Engineer – Construction to join our dynamic team. The successful candidate will be responsible for the design, specification, installation, commissioning, and optimization of high-purity chemical and gas delivery systems in semiconductor manufacturing facilities. This role ensures safe handling, efficient distribution, and compliance with all relevant codes and safety regulations, while collaborating with cross-functional teams to deliver projects on time and within budget. Key Responsibilities Design & Engineering Design chemical and slurry delivery systems, including storage, distribution piping, process integration, and effluent scrubber units, ensuring stringent purity and safety requirements for semiconductor fabrication. Develop detailed engineering drawings, P&IDs, and specifications for all chemical and slurry systems. Perform flow, pressure, and compatibility calculations to optimize system efficiency. Specify critical components and ensure designs meet all applicable codes and regulations (NFPA, FM, UBC, UFC, UMC, IBC, IMC, IFC, NEC, SEMI, OSHA, NEA etc). Conduct research and development on emerg

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collection over billions of objects. You'

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 Anthropic is working to build a rigorous, evidence-based understanding of AI's economic effects. We're hiring a writer focused on economics and policy to work on a growing portfolio that includes economic research reports, long-form essays, op-eds, and policy briefs. You'll spend much of your time working with economists and researchers, helping them explain their findings plainly. You’ll write for economists, policymakers, journalists, and the public. You’ll be on the Editorial team, which is responsible for shaping how Anthropic communicates. Our goal is to build understanding about the opportunities and challenges of transformative AI, and we work extensively with partner teams including The Anthropic Institute and our Policy team. In this role, you'll write about AI's effects on productivity and the labor market, the economics of compute, innovation policy, and regulation, among many other subjects, and you'll help decide which economic and policy questions Anthropic takes up next. You'll do this with an amazing vantage point on what is happening at the frontier. Key responsibilities Work with our economists and researchers to write and edit Anthropic's economic research publications—including the Anthropic Economic Index, and new reports on how AI is affecting work, productivity, and growth. Produce rigorous, readable work on the economics and policy of AI in whatever format the subject calls for, including research reports, long-form essays, op-eds, policy briefs, and blog posts. Collaborate with Anthropic's economics researchers, Policy team, research scientists, and external economists and policy experts to tran

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Key Overview: As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams. Key Responsibilities Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards). Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization. Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting. Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions. Turn successful r