Signal Integrity Hardware Engineer Jobs

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. In HBM HIG (High Bandwidth Memory, Heterogeneous Integration Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence). The success of a sophisticated product such as HBM relies vastly on vertical integration and the various engineering working in unison. To provide greater detail, our HBM technology pertains to stacking numbers of DRAM chips along with a logic chip within one package through an assembly technology called TSV (Through Silicon Via). This greatly increases the memory density in a package, while allowing very high-speed signal transmission. Furthermore, "high bandwidth"; is an outstanding memory design area where custom gate-level design and RTL style logic design are blended into the same product, and most of the DDR or LPDDR design is based on the gate-level design only. Lastly, verification and testing (validation) of HBM is the most ambitious due to the total size of the design and complexity of the functions, and in addition to craft, many innovations are needed for verification and validation of the HBM product, the

About the Role We are seeking a skilled GTM Engineer to join our team. In this role, you will architect an AI-native tech stack with seamless integrations and build a cohesive, automated engine to drive measurable revenue outcomes. As a builder and systems thinker, you will play a vital role in automating processes, maintaining data integrity, and turning GTM strategy into scalable systems. Responsibilities Architect the GTM Tech Stack: Build an AI native tech stack with seamless integrations. Centralize Data: Build a cohesive, automated engine that centralizes data in CRM and eventually data warehouse (Salesforce, Hubspot, Snowflake, Clay, Claude Cowork). Own Data Integrity: Build and maintain the data flows, enrichment logic, and sync architecture that keep our systems accurate, deduped, and trustworthy end-to-end. Turn Strategy into Systems: Partner with leadership to translate GTM strategy into automated playbooks, dynamic scoring models, and signal-based workflows that drive measurable revenue outcomes. Lead CPQ System Design: Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows. Optimize Conversions: Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems. Implement Governance: Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity. Improve Deal Velocity: Improve deal velocity by streamlining approvals, leveraging Salesforce CPQ (Revenue Cloud). Integrate CLM Tools: Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows. Automate Bottlenecks: Identify repetitive work across the GTM org - account research, CRM hygiene, post-call follow-ups - and replace it with intelligent automation using APIs, webhooks, and AI agents. Requirements Experience: Have 3–5+ years of experience operatin

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The AI/ML systems that power this platform are not auxiliary features. They are the product. Open Problems The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved. Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end. Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up. Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet. Your focus will shift across these depending on where the highest-leverage work is at any given time. What you will do Research, Design, and Develop advanced Deep Learning models and novel Neural architectures. Explore architectures beyond Transformers, including State Space Models (SSMs), Liquid Neural Networks (LNNs), and Hybrid approache

Data Specialist Location: Remote, USA Time Zone: Must be in Pacific time zone and willing to work 9AM - 6 PM PT About Syllo Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end-to-end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise-grade litigation AI. Backed by top-tier VCs, we are at a clear inflection point — the team has doubled in the last six months and growth is accelerating. About the role Own the data layer that makes complex litigation possible. This role is responsible for the technical data operations that underpin every case on Syllo's platform, from collection and processing through production and quality control. You will work directly with Client Services pods and internally with Product and Engineering to ensure data integrity at every stage. We are looking for someone with hands-on EDRM lifecycle experience, deep platform fluency, and the judgment to know when a data issue is a technical quirk versus a signal something is wrong. What you will do Own data operations: Manage ingestion, processing, and production workflows across active cases. Validate every output before it reaches the client. Own quality control: Apply systematic QC standards across all data outputs, documenting findings and resolving issues before they reach the client or the pod. Resolve complex data issues: Diagnose and resolve collection anomalies, processing failures, metadata errors, and production format disputes. Advise on data strategy: Help clients structure their data workflows, processing spec

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product. Open Problems The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved. Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end. Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up. Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet. Your focus will shift across these depending on where the highest-leverage work is at any given time. What you will do Design and ship production ML systems across Chakra, integrity, and evaluation domains. Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration. Build evaluation infrastructure and bench

About the Team The Integrity team builds the systems that protect OpenAI’s products, users, and ecosystem from abuse. We work across product engineering, infrastructure, safety, and operations to detect and prevent harmful, fraudulent, deceptive, and adversarial activity at global scale. As OpenAI builds new ads experiences, we are establishing the integrity foundation that will keep the ads ecosystem safe and trustworthy from the start. This includes protecting advertiser onboarding, detecting unsafe or policy-violating ad content, preventing fraudulent and abusive advertiser behavior, and defending the ads ecosystem against spam, manipulation, and other forms of abuse. Ads Integrity is a new and highly cross-functional area. The team partners closely with Ads, Product, Safety, Policy, ML, Privacy, Security, and operations teams to build protections directly into the ads platform rather than layering them on after the fact. This is an opportunity to define how integrity works for a new ads ecosystem from first principles. About the Role We’re looking for an experienced Software Engineer to build the backend systems and infrastructure that keep OpenAI’s ads products safe, trustworthy, and resilient to abuse. In this foundational role, you will design systems that detect, prevent, and respond to harmful, deceptive, fraudulent, or policy-violating activity across the ads lifecycle. The problems span advertiser onboarding and verification, account and behavioral risk, content safety, spam and fraudulent interactions, detection and enforcement infrastructure, and the systems that connect integrity signals and models to real-time product decisions. This is not an ML-specialist role, but familiarity with ML for Ads integrity is always welcome. You’ll work closely with ML engineers and researchers and build systems that consume and operationalize ML-based signals, but your primary focus will be designing and operating robust backend and distributed systems. You’ll help det

About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidenc

About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidenc

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The head of EMEA Refund Fraud will lead Doordash’s EMEA strategy for preventing and managing refund abuse across our marketplace. You will be accountable for the performance of the Credit and Refund (C&R) Fraud domain: setting the long-term vision, determining where we focus our resources, and building the team, controls and capabilities required to reduce fraud sustainably while protecting the experience of genuine customers. This is a senior leadership role at the intersection of Integrity, Customer Care, Product, Engineering, Analytics and Finance. You will lead a team of experienced fraud and strategy professionals and work with senior leaders across Deliveroo to make complex decisions about fraud risk, customer experience, operational cost and product investment. You will need to be comfortable operating in ambiguity, identifying problems before they become material, and turning complex and sometimes incomplete signals into a clear strategy. Success will come not from personally solving every problem, but from creating the direction, operating mechanisms and team that enable Deliveroo to manage refund fraud effectively at scale. What You’ll Be Doing Setting the C&R Fraud Strategy Set and own the 1–2 year vision and strategy for C&R Fraud, translating wider Integrity and business priorities into a focused roadmap. Proactively identify emerging risks, systemic vulnerabilities and opportunities rather than waiting for problems to be assigned. Determine the highest-value problems for the team to solve and make clear choices about where we should (and should not) invest. Define how we balance fraud loss, customer experience, operational cost and growth when desig

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is poised to innovate and grow like never before, and Safety is a critical accelerant of that growth. The Safety org is Reddit’s central Trust & Safety organization, protecting users from bad experiences by stopping harmful content, behaviors, and abuse across the platform. We are looking for a Senior Data Scientist to lead ads fraud detection and scaled enforcement within Safety. You will partner closely with Ads Product, Engineering, Machine Learning, Operations, Policy, Legal, and fellow Safety data scientists to identify emerging ads fraud, define rigorous measurement and evaluation standards, and turn investigations into durable signals, models, rules, and enforcement pipelines. This is a high-impact role with exceptional opportunity for ownership and growth: as an early leader in a greenfield space, you will help define the strategy, shape cross-functional roadmaps, build foundational capabilities, and expand your scope as Reddit’s ads integrity program matures. Responsibilities Lead the measurement and detection strategy for ads fraud by defining fraud taxonomies, labels, sampling plans, metrics, and evaluation frameworks that make performance measurable and defensible. Analyze la

About the Team Our Trust & Safety, Integrity and Fraud Product team is dedicated to ensuring a safe and trusted experience for all customers across our platform, including Consumers, Merchants, and Dashers. We tackle complex challenges, from preventing fraud and ATO to ensuring authenticity, to building regulatory compliance capabilities, all while balancing risk mitigation and providing a seamless user experience. Our team partners closely with cross-functional groups, including Engineering, Data Science, Compliance, and Risk Operations, to drive strategic initiatives that protect our business while fostering growth. About the Role The DoorDash marketplace is expanding rapidly beyond just restaurants as we become “your door to more." As we add new products, geographies, ways for Dashers to earn, as well as use cases to help consumers save time, we’re expanding and enhancing our fraud capabilities to be best in the industry at keeping our platform safe and trustworthy. We strongly believe that trust is the most important attribute of an online marketplace, and the team ensures that we maintain this trust. We’re looking for a Senior Product Manager that will lead dedicated cross-functional teams to solve complex challenges that impact Consumers, Dashers and Merchants and touch every corner of our business - from new user onboarding, to the in-app dashing experience, to the products and services being created that our users can’t find anywhere else. We are looking to hire for a few roles, so you’ll either lead a vertical fraud team protecting Consumers or lead a horizontal fraud platform team focused on building our Risk Engine, Data Signals Intelligence and Automation / Anomaly Detection capabilities. The Fraud team is in hyper growth in terms of its size and impact and offers a unique opportunity to set and execute on a vision that will shape the future of DoorDash. You’re excited about this opportunity because you will… Set the vision and long-term product stra

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We serve our community of users and customers by working tirelessly to preserve free expression and choice, create limitless interactivity, and maintain a safe digital marketplace. The Safety Integrity Program Manager, Regulated & Prohibited Content will drive priorities, measures, and system health for regulated and prohibited content, owning program standards and execution across upstream systems and downstream operations. You are an experienced program manager with a strong background in content integrity, enforcement, or risk programs at scale. You are skilled at setting requirements for detection and automation, translating policy and legal constraints into practical workflows and controls, and driving cross-functional partners to improve coverage, precision, and enforcement quality. You thrive in fast-paced environments and excel at turning operational signals into lasting improvements. RESPONSIBILITIES: Drive priorities, measures, and system health for regulated and prohibited content, and continuously improve execution Set requirements and success criteria for detection and automation, and drive Product, Engineering, and Operations to improve coverage

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We serve our community of users and customers by working tirelessly to preserve free expression and choice, create limitless interactivity, and maintain a safe digital marketplace. The Safety Integrity Program Manager, Harmful Activity will drive priorities, measures, and system health for harmful activity, owning program standards and execution across upstream systems and downstream operations. You are an experienced program manager with a strong background in content integrity, abuse, or risk programs at scale. You are skilled at setting requirements for detection and automation, translating policy and legal constraints into practical workflows and controls, and driving cross-functional partners to improve coverage, precision, and enforcement quality. You thrive in fast-paced environments and excel at turning operational signals into lasting improvements. RESPONSIBILITIES: Drive priorities, measures, and system health for harmful activity, and continuously improve execution Set requirements and success criteria for detection and automation, and drive Product, Engineering, and Operations to improve coverage, precision, and enforcement quality at scale. Translate

About the Team At OpenAI, Trust & Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We partner closely with Product, Engineering, Legal, Policy and Go To Market teams to identify emerging risks, build and mature enforcement systems, and ensure high-integrity operations while delivering a great user experience at scale. We’re building the Monetization Trust & Safety Operations team to ensure OpenAI can grow advertising in a way that is safe, trusted, and sustainable—for users, advertisers, and the business. This team sits at the intersection of operational scale, product risk, and rapid revenue growth, designing systems and operations that enable ads to scale without compromising user trust or safety. It’s critical to us that our Ads product be built in a way that corresponds to our Ads principles , and this team is key to that. About the Role We’re looking for a senior operator with strong analytical instincts to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you’ll flex across the team’s highest-priority data and operational needs—from reporting and dashboard insights to budget and capacity planning, project-based analysis, and data automation —while partnering closely with Product, Policy, Engineering, Legal, Go To Market, and Data Science and Data Engineering teams. This role sits at the intersection of strategy, execution, and data: you’ll define ambiguous problems, query and validate data, build decision-support systems, and translate operational signals into clear recommendations and scalable, AI-first solutions. You should be comfortable moving from a high-level question to a rigorous analysis, a useful dashboard, an automated workflow, or a durable operating mechanism. As OpenAI introduces new revenue-generating formats and partnerships, you’ll help the team understand where risks, capacity constraints, quality gaps, and opportunities are emerging. You’ll brin

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. Location Singapore Department MSB Process Integration Engineering Project Title Semiconductor Manufacturing Reject Reduction Through Process Variability Analytics Project Description The intern will participate in a structured project focused on improving semiconductor manufacturing reject rates through process variability reduction. The project will provide practical exposure to semiconductor packaging, Assembly and Test processes, and manufacturing data analytics. Under appropriate guidance, the intern will analyze inline signals, process parameters, and test results to identify patterns and potential contributors to process variability and yield loss. The intern will also explore the responsible application of Artificial Intelligence and AI-Enabled analytical tools to improve the efficiency, quality, and effectiveness of project analysis. Objective of the Project The project aims to: Identify potential sources of process variability and yield loss. Improve the analysis of inline signals, process data, and test results. Determine relationships between process conditions and manufacturing rejects. Develop data-driven re