Power Integrity Engineer in United States

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an

1743 - This position is in Austin, Texas. Position Summary We are seeking an experienced Board-Level Hardware Validation Engineer to define and execute the validation and verification of complex electronic systems throughout the product lifecycle. This role is responsible for defining validation strategies, developing test plans, executing hands-on testing, analyzing failures, and working directly with ODM partners to ensure products meet performance, reliability, quality, and compliance requirements before mass production. The ideal candidate combines strong electrical engineering fundamentals with practical lab expertise and is comfortable personally performing validation activities while coordinating with cross-functional teams and manufacturing partners. Key Responsibilities Validation Strategy & Planning Define comprehensive board-level and inter-board validation plans based on product requirements, design specifications, and customer use cases. Develop validation methodologies covering functional, electrical, thermal, power, signal integrity, reliability, and stress testing. Establish test coverage, acceptance criteria, qualification requirements, and release gates. Review hardware architecture, schematics, component specifications, and interface topologies to identify validation risks early in the design cycle. Define incremental validation and regression coverage for component substitutions, design changes, and firmware updates. Hands-On Validation Execution Develop, automate, and execute validation tests on prototype and production-intent hardware. Perform board bring-up, functional verification, electrical characterization, and system-level integration testing. Validate communication interfaces, control signals, and timing requirements. Verify power sequencing, reset behavior, leakage current, and recovery across operating states. Execute temperature and voltage corner testing against approved operating limits. Use oscilloscopes, logic an

NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle. The Hypervisor and RTOS Team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. Our job is to facilitate the sharing and separation of system resources while achieving real-time, safety, and security requirements. We develop Hypervisor and RTOS with a strong focus on automotive quality, safety and security needed for the real-time, highly available system level components of world-class Autonomous Vehicles. We are making extensive use of formal methods to automate our workflow and increase the quality of our SW. We are hiring now for the position of Senior System Software Engineer for Hypervisor and RTOS What you’ll be doing: Design and develop new features for RTOS and hypervisor software stack. Bring up and optimize RTOS and hypervisor stacks on new NVIDIA Tegra SoCs. Develop high-integrity software using best-in-class engineering, safety, and security practices. Debug complex system-level issues across hardware, firmware, RTOS, and virtualization layers. Lead team-wide technical initiatives by building alignment, coordinating execution, and driving them to completion. What we need to see: BS, MS in CS/CE/EE or a related engineering field or equivalent experience </

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an

About the Team The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely. The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting. About the Role We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems. You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity. In This Role, You Will Lead and grow a high-performing Trust & Safety Data Engineering team. Define the roadmap and technical strategy for Trust & Safety data systems. Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring. Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting,

NVIDIA's accelerated computing platforms move data at speeds that push the limits of what silicon and physics allow. Whether a high-speed interface trains reliably, maintains accurate margins, and survives every platform topology it will ever see is a question we answer ourselves. This role does that work. The Silicon Co-Design Group leads the boundary between what was designed and what was built. When a GPU, CPU, or SoC ships with interfaces that work at scale, this team is the reason. Most engineers debug within a layer. You will own the full stack. When an interface fails to train, the link margin is unexpectedly tight, or a customer reports a critical silicon issue, you trace the problem through protocol behavior, signal integrity, firmware, platform topology, and silicon marginalities. You then confirm that the fix works. Your methodology shapes how NVIDIA validates high-speed interfaces across generations. Your decisions affect yield, production ramp, and field quality. This is not a coordination role. The engineers who do it well hold protocol depth and system breadth simultaneously, never lose the thread across hardware, firmware, and software, and have the judgment to know when to go deeper and when to act. They are rare. Should that describe you, read on. What you'll be doing: Own post-silicon bring-up, characterization, validation, and debug of PCIe, NVLink, C2C, and other HSIO interfaces across NVIDIA GPUs, CPUs, and SoCs from first power-on through production readiness. Close the hardest failures. Drive root cause across protocol behavior, signal integrity, firmware and driver interactions, platform topology, and silicon marginalities and own every fix through to confirmation. Define validation strategy. Set test coverage, debug priorities, margining methodology, and stress criteria f

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord exists to give people the power to create space to find belonging — to talk regularly with the people they care about and build genuine relationships with friends and communities close to home or around the world. We're looking for an Analytics Manager to lead our Scaled Abuse Countermeasures and Research (SCAR) team — the team that safeguards Discord’s platform integrity. SCAR detects, analyzes, and disrupts high-volume threats through a combination of automated systems, deep research, and active incident response. This role reports to the Head of Safety Intelligence and Automation. What You'll Be Doing Lead and mentor a team of data analysts, scientists, and researchers who investigate active threats, identify platform abuse vectors, and uncover adversarial patterns. Define a strategic roadmap that prioritizes and disrupts the highest impact abuse operations through structured research, rigorous analyses, and live experimentation. Collaborate closely with the safety machine learning team to improve models by identifying the threat signals that translate into long-term, automated countermeasures. Partner cross-functionally with Product, Engineering, Data Science, Policy, Legal, and Revenue, influencing safety-by-design decisions upstream of abuse. Influence capacity toward high-impact infrastructure, such as automated rule engines, ML models, or agent moderation tools. What you should have 2+ years of people management experience leading technical teams, including engineers, data scientists, analysts, applied researchers, or equivalent. 4+ years of experience working in a Trust & Safety dom

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As one of the first dedicated security hires at Baseten, you will work cross-functionally with engineering and operations teams to ensure we’re meeting the highest standards of confidentiality, integrity, and availability. You’ll have an opportunity to shape our security strategy and best practices from the ground up, influencing the way our platform handles sensitive data for both internal and external stakeholders. RESPONSIBILITIES Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms. Vulnerability management: Lead proactive vulnerability assessments, pen tests, and remediation efforts to ensure our products and infrastructure remain secure. Incident response: Develop and maintain incident response processes, including detection, analysis, containment, eradication, and post-incident reviews. Identity and access management (IAM): Oversee IAM strategies and tools to ensure the right people have the right level of access to our systems and data. Security compliance and audits: Work closely with operations to ensure compliance with relevant standards (e.g., SOC 2, ISO 27001) and

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata's AI Platform team builds the production infrastructure that powers AI features across our compliance platform — from MCP servers that make Drata's data available to AI agents, to LLM workflow orchestration that automates SOC 2, TPRM, and policy analysis. You'll own the systems that sit between our AI models and our customers: tool definitions that agents actually understand,

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US About the Role Cloudflare's People team supports 5,000+ employees globally. To scale, we are building an AI-driven operating layer on the Cloudflare Developer Platform to automate workflows, ensure data integrity, and streamline employee support. You will ship production systems for hiring, onboarding, and self-service, using AI to create leverage while designing rigorous guardrails for sensitive employee data. Lever

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Events Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate. As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality. If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you. In this role you will: Expand EAP's ability to deliver data at world-class speed and reliability. Architect and automate services and systems to scale reliably under growing demand. Make architectural trade-offs that balance product requirements with engineering constraints. Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions. Lead design and discussions around deliverables the team is working towards. Improve the maintainability and developer experience of the codebases EAP owns. Exa

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will: Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. Collaborate closely with product, research, and engineering teams to integrate OpenAI mode

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're looking for a Marketing Operations Manager who can own and harden the systems layer of Baseten's Marketing engine. Marketing at Baseten is scaling fast — more spend, more campaigns, more model launches, more inbound. The systems underneath (Our ESP, CRMs, forms, tracking, routing, alerting) need an owner who treats them like production infrastructure that cannot go down. When something breaks, it costs us time, pipeline, and trust in the data. This role exists so it doesn't break. You’ll simultaneously build for the future and re-think assumptions about our tech stack in the age of agents. This is an offensive play that gives the rest of the team leverage and superpowers to hit our ambitious goals. This is NOT an IT or service role. This is a core member of the marketing team who implements technology to achieve outcomes. RESPONSIBILTIES Own the marketing tech stack end-to-end: ad platforms, email systems, tracking, pixels, forms, connectors. Build defense-in-depth on inbound: spam/bot protection, rate limiting, email/domain validation, sync gating — and the alerting to catch anomalies before they hit sales or leadership dashboards. Enforce data integrity: UTM governance, campaign membership, lifecycle stages, lead scoring and routing logic, field-level hygiene, canonical metric definitions. Operationalize the web request pipeline with our dev agency: structured briefs, tickets, SLAs, and launch-day runb

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Team Description We're Plaid's Revenue Accounting team, and we own the order-to-cash process that ensures every Plaid customer is billed accurately and that revenue and accounts receivable are reflected correctly across our financial systems. We work at the intersection of commercial deal execution, billing, accounting, and financial reporting. We partner closely with Commercial, RevOps, Legal, Billing Engineering, Business Technology, Strategic Finance, and the broader Accounting org to turn customer agreements into accurate, scalable billing. It's no small feat at Plaid's scale and deal complexity. Our mission is to protect revenue integrity, build customer trust, and build the systems, processes, and controls that let Plaid scale toward its next stage as a company. Role Summary You'll own the operating layer of Plaid's order-to-cash process, turning signed customer agreements into accurate billing configurations, invoices, reconciliations, and financial records. You'll review order forms and commercial terms and translate them into billing, run monthly invoice cycles, process billing adjustments and credit memos, reconcile activity across systems like NetSuite and Salesforce, r

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We are the first line of defense against fraud and abuse on the Plaid platform. Our mission is to ensure the safety and integrity of our platform for consumers and customers. As a Fraud and Abuse Operations Analyst , you will be responsible for responding to fraud and abuse events, investigating claims, and triaging incidents. We also partner with product and engineering teams to inform and improve fraud mitigation strategies. Responsibilities: Safeguard Plaid's Platform: Participate in the abuse on-call rotation, directly protecting our users and customers by responding to and resolving fraud and abuse events. Your timely actions will be instrumental in maintaining trust and security. Drive Investigations and Mitigate Risks: Investigate fraud and abuse claims from diverse sources, partnering with senior teammates on complex cases. Your findings will inform decisions and strategies, directly impacting Plaid's ability to prevent future incidents and minimize financial losses. Proactively perform threat modeling of abuse surfaces and continuously survey external fraud trends, adversary techniques, tooling, and emerging threat vectors Support Incident Response: Help triage and manage fraud and abuse ev