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System Hardware Engineer Jobs

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Titan Security is built on serving our clients and building careers – just like yours. We are trusted by some of the most well-known companies and properties in the country while remaining dedicated to building personalized security solutions that solve the needs of every customer we support. Named as a nationally recognized Top Workplace in 2024 and 2025 by USA Today, Titan's customized approach to security services will provide you with the opportunity to learn, grow and succeed. Our core values of being Unified, Transparent, Innovative, Committed and Accountable help us in providing unparalleled service and support in all that we do. If you are looking for a meaningful career, a culture of excellence, and the ability to make a difference, we want to talk to you! Titan is seeking a highly technical, hands-on Service Manager to lead and elevate our electronic security service operations in Chicago. This role represents a strategic evolution—upgrading a traditional service coordination function into a technical leadership position. As Titan rapidly expands its security integration and technology-driven footprint, you will play a pivotal role in building a scalable, high-performing service organization capable of supporting complex, enterprise-level integrated security systems. What Makes This Role Unique Strategic Impact: Transform and elevate our service department into a true technical center of excellence. Growth Leadership: Build, mentor, and expand a high-caliber team as service demand continues to surge. Driver of Success: Directly influence client retention, system performance, and recurring service revenue. National Platform: Enjoy local operational autonomy backed by the stability and growth of a national brand. Key Responsibilities 1. Technical Leadership (Primary Focus) Serve as the resident technical authority across access control, video surveillance (CCTV/VMS platforms), and integrated low-voltage systems. Provide high-level escalation support a

project managementCRM
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2mo ago

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

Excelrecruitment
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SpaceXSI
📍 Palo Alto• $110K – $145K/yr
2mo ago

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

Excelrecruitment
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Ramp
📍 New York• Full-time• From $120K/yr
2mo ago

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Most companies have more GTM ideas than they can reliably execute. Launching a new motion still requires manual targeting, weeks of enablement, seller coordination, and messy measurement. Learnings live in people's heads. When something works — or stops working — the playbook doesn't change fast enough. Ramp is building the AI platform that GTM runs on — a ground-up application layer where agents handle execution, playbooks encode institutional knowledge, and every interaction feeds a learning loop that makes the system smarter each cycle. We're operating at the frontier of what agents can do in a real enterprise context, and the problems are unsolved: reliable background execution at scale, human-agent collaboration that earns trust, and feedback loops that turn raw GTM signal into a compounding organizational advantage. As a PM for Revenue, you'll own the data and execution layer that makes the GTM platform work: the scoring and routing systems that get the right accounts to the right people, the data infrastructure and acquisitions

sqlrestai
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Modal
📍 New York• Full-time• $150K – $270K/yr
2mo ago

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're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. What You'll Work On: Detection Engineering Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents Improve visibility across cloud infrastructure, containers, identity system

sqlkuberneteslinux
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OpenAI
📍 United States• Full-time• Remote• $263K – $515K/yr
2mo ago

About the Team OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions. As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down. About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents. You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly? You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements. In This Role You Will Define how we measure AI-agent security. Establish metrics and evaluation frame

REMOTEpythonsqlartificial intelligence
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Amplitude
📍 Remote• Full-time
2mo ago

About the Role & Team This is Amplitude's first People Team hire in India, and we're being deliberate about who we bring in first. People Operations is at an inflection point. A lot of what takes hours today—HR tickets, Workday updates, onboarding tasks—will be handled by AI-assisted workflows in the near future. We're building toward that now, and this role is part of that foundation. You'll join the global People Operations team as a dedicated shared services resource, handling the operational work that keeps our EMEA and AMER specialists focused on higher-complexity, in-market problems—and supporting People Business Partners globally when they need an extra set of hands. In the near term, the work is largely transactional: resolving HR helpdesk tickets, processing Workday data requests, coordinating onboarding logistics. That's not a knock on the role—it's the job, and doing it with speed, accuracy, and care matters enormously. Over time, as we invest in AI tooling and automation, that transactional load will shift. When it does, this role shifts with it: taking on process improvement projects, helping document and refine how the team operates, and growing into a contributor who shapes practices rather than just follows them. We'll support that progression. Because this is a remote role with no local People Ops team around you, we need someone who is genuinely self-directed. You'll be given clear priorities and good systems to work in, but you'll own your own day. If you thrive in structured work but feel motivated by the promise of doing more over time, this is a good fit. As a People Operations Analyst, you will: Own shared services and HR helpdesk Resolve Tier 1–2 employee inquiries through our HR ticketing system (Console AI) on behalf of EMEA and AMER regional teams: policy questions, employment verifications, leave requests, and benefits inquiries Triage issues that need specialist input—Benefits, Payroll, Legal, or regional People Ops—with clear contex

restaigo
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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Software Engineers build and own high-value products for our customers and the infrastructure that lets our business scale. Vanta's team and technology surface are growing quickly, and it's essential that we invest in the right abstractions and systems to scale with our business. As a Software Engineer, you'll build and own full-stack features and platform primitives across our stack, work closely with the teams and partners who depend on what you ship, and grow into broader technical ownership. Your work will directly accelerate Vanta's growth. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We're growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! The Integrations Platform team mission is to power the world's largest trust automation ecosystem, enabling any person or agent to build, connect, and automate trust seamlessly. We own Vanta's integration ecosystem, which currently includes over 400 integrations across Cloud Providers (AWS, Azure, GCP), Identity Providers, Mobile Device Management (MDM), and Human Resources Information System (HRIS). We are focused on developing the Integration Platform. This includes creating shared primitives for authentication, lifecycle, observability, and publishing to ensure all integrations are built on the same foundation. Our North Star is to eliminate the barrier to building integrations entirely. We aim to enable any

typescriptreactnode.js
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2mo ago

The Recruiting team is responsible for growing our teams at Datadog with great people in multiple technical and business areas. Our Recruiters are strategic business partners, matchmakers, sellers, and marketers who have strategic relationships with the leadership team. As an Emerging Talent Recruiting Coordinator, you have a high-impact role with significant visibility and the opportunity to make a real difference in Datadog's future as you support hiring efforts for technical intern and early career positions. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Organize all facets of a candidate’s interview process: scheduling interviews, managing communication workflows, sending offer letters and managing onboarding tasks at a high volume during peak recruiting season Coordinate end-to-end logistics for the intern program, including travel, onboarding, recruiter meetings, manager feedback, and conversion offers Manage job opening and job posts in our applicant tracking system, ensuring all externally publicized information is accurate and compliant Provide exceptional experiences for all candidates Partner with Global Intern Program Manager to plan and execute intern events, partnering with external vendors for offsite events and internal Office Ops and IT teams for onsite activities. Support the training of new interviewers to scale interview panels Assist with interviewer capacity planning to ensure a smooth and efficient hiring process Partner with internal and cross-functional team members to improve processes Develop stakeholder relationships with recruiters, people business partners, people coordinators, and hiring managers, maintaining effective and proactive communication Support the onboarding of new team members, deliver informative sessi

ailogisticsrecruitment
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DoorDash Canada
📍 Toronto• C$113K – C$141K/yr
2mo ago

About the Team DoorDash's mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow businesses and the communities that support those businesses. To further this mission, DoorDash is growing our award-winning Creative Studio, Superette. We’re populated by diverse, eclectic talent that inspires and creates. We take risks, challenge each other, and inspire new ways of thinking. We're here to create pivotal work that we, our partners, and the entire DoorDash community can be immensely proud of. We’re here to do the best work of our lives. About the Role We’re looking for a Sr. Designer to help build and champion a new growth function within Superette, the Creative Studio at DoorDash. You will oversee the development of world-class design that drives conversion for the business across various channels and elevates our established Design Language System. You’ll report into the Head of Design of the Superette team within our Marketing organization. You’re excited about this opportunity because you will… Drive creative for Canada, partnering closely with Growth and Co-Marketing to accelerate testing velocity and turn insight into high-performing assets that support acquisition efficiency and sustained growth. Design and iterate performance creative across channels (email, display, social media, paid search, in-app, etc.), contributing to Canada's refresh cadence. Design for A/B testing environments to optimize creative assets for maximum engagement and conversion rates. Contribute to repeatable systems and modular asset frameworks that increase output without adding production drag — enabling faster cycles and smarter experimentation across the Canada market. Translate data insights and user feedback into actionable design strategies to enhance user engagement. Work closely with product, marketing, and brand teams to ensure

aiExcellogistics
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Harvey
📍 Dublin• Full-time• Remote
2mo ago

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We are looking for a Contracts Manager to join our legal team. You will interface with cross-functional teams including our procurement, go-to-market, deal operations and marketing teams to ensure fast and efficient execution of agreements. You will also focus on the efficient operation of the commercial team (including its contracts management system) and Harvey’s legal department. What You'll Do Generative AI has the power to greatly change the world and directly impact how things get done. Harvey is at the forefront of this change, and our mission is to make generative AI actionable and useful for our customers. This is a fast moving environment (we are a start-up!) that is serving some of the world’s most renowned law firms and professional organizations. And this

REMOTEaiproject managementprocurement
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OpenAI
📍 India• Full-time
2mo ago

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role If you have a specific expertise or speciality related to this work, please note it in your application via your resume, cover letter or application note. Frontier AI systems are expanding what people can do across domains, creating both enormous opportunities and difficult safety questions: when should a model help, when should it refuse, and how do we make those boundaries clear enough to train, evaluate, and enforce? In this role, you will help define how OpenAI’s models should behave in high-risk or high-ambiguity contexts, such as agentic systems, multimodal systems, user safety, privacy, and other emerging risk domains. This is an ideal role for someone who can move across unfamiliar topics, reason from first principles, and turn ambiguity into practical model behavior. You will work closely with research, engineering, product, preparedness, and operations teams to build policies that are technically grounded, measurable, and responsive to real-world risk. In this role, you will: Design and maintain model policies across safety-relevant domains, including dual-use, agentic, and emerging frontier-risk areas. Translate risk and harm models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards. Define practical boundaries between beneficial uses of AI and assistance that could materially enable harm, exploitation, misuse, or unsafe outcomes. Build policy artifacts that support model training, evaluation, and deplo

awsgitrest
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2mo ago

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources. Implement fault-tolerant and resilient

awskubernetesrest
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Godaddy
📍 Melbourne• Full-time
2mo ago

Location Details: Melbourne, Victoria, Australia At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... GoDaddy is empowering everyday entrepreneurs around the world by providing the tools, insights, and support they need to succeed online. Our mission is to help customers turn their ideas and personal initiative into success. We provide everything needed to build, grow, and manage their businesses online. GoDaddy's Registry team is looking for a Software Development Engineer to join a collaborative Agile team focused on building products and services that power the Registry system. In the role of a Software Development Engineer, you will contribute to user stories. You will build and operate services at the core of the internet. You will take full responsibility for the solutions and systems you build. This is primarily a backend-focused role with opportunities to contribute across the full stack, including UI development. You'll work with modern cloud technologies, scalable distributed services, and AI-assisted engineering tools while building reliable and highly available solutions for GoDaddy Registry! You'll collaborate with engineers across the team, continuously improve code quality and engineering practices, and gain exposure to technologies across the AWS and Java ecosystem. What you'll get to do... Full-stack development: Participate throughout the entire development stack, from UI components through backend services and persistence layers. Build clean, maintainable, and production-ready code with a strong focus on quality and reliability. Cloud infrastructure and applications: Design, develop, maintai

javascripttypescriptjava
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Toast
📍 United States• Remote• $193K – $309K/yr
2mo ago

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

REMOTEjavareactpostgresql
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