Signal Integrity Hardware Engineer Jobs

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Role Overview We are looking for domain-first, systems-oriented engineers domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy,automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev. As a Solutions Engineer, you will act as a trusted advisortrusted advisor, combining domain expertise, engineering depth, and problem-domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform. You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-real-world automation, intelligence, and agentic workflowsworld automation, intelligence, and agentic workflows. Key Responsibilities Partner with customers to deeply understand domain workflows, systems, and data flows domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments) Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions insights, workflows, and automated actions Build and showcase AI-driven workflows, automations, and agentic us

About Us YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers — ranging from the world's top investment funds to Fortune 500 companies — depend on to drive high-stakes decisions. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture — recognized by Inc. as a Best Workplace for three consecutive years — emphasizes transparency, ownership, and continuous mastery. What It's Like to Work at YipitData YipitData isn't a place for coasting — it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Ownership That Matters: You'll lead high-impact projects with real business outcomes Rapid Growth: We compress years of learning into months Merit Over Titles: Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high — always with purpose and intention About The Role Signals is YipitData's B2B spend analytics platform for private equity and growth investors — helping them track software adoption, revenue, retention, switching, and competitive dynamics across thousands of companies. We're looking for a Tech Lead to own the technical direction of the Signals engineering team and drive the next phase of the product forward. This is a hands-on leadership role. You'll set the te

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You'll build the platform that powers Hark's AI agent — the runtime, the infrastructure, the primitives. Everything that makes the intelligence actually works in production. That means owning the hard systems problems, such as low-latency streaming, reliable tool execution, memory and context at scale, and orchestration logic that holds up under real usage. You will be building the foundation that everything else runs on. This is a high-ownership role on a small team. You'll work directly with the people building the models and the people shipping the product, and the systems you build will define what's possible for both. Responsibilities Build the core runtime that powers Hark's agent platform. Orchestration, tool execution, memory retrieval, streaming, and the systems that make all of it work reliably together. Own features end-to-end, from early prototyping alongside model researchers to production deployment and iteration based on real usage. Architect the platform primitives that the rest of the product team builds on. Agent runtimes, execution sandboxes, memory APIs, streaming pipelines. Instrument and evaluate the product. Write evals, track quality regressions, and feed signals back into the model and product loop. Work across th

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. The Ramp Revenue team is building an AI-native operating system for Go-to-Market teams. We turn fragmented customer context, communication history, and business signals into trusted agents that can identify opportunities, recommend actions, and execute real revenue work. This is a frontend-focused role for an engineer who obsesses over interaction design and complex product workflows, but is just as comfortable shaping the APIs and data contracts behind them. You’ll own the surfaces revenue teams actually use: agent-generated work, account and opportunity intelligence, approvals, workflow configuration, and execution experiences that bring together customer data, AI reasoning, and human judgment. If you want your frontend work to sit at the center of production agent systems—rather than being added after the intelligence and workflow decisions have already been made—this is the role. What You’ll Do Design and ship AI-native revenue products end to end, from React interfaces through the APIs and data contracts behind them. Build fast, information-den

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We are looking for a Senior/Staff Software Engineer to serve as a technical leader for Nuro’s ML Data engine. You will sit at the critical intersection of Autonomy, Machine Learning, and Infrastructure, acting as an architect for the systems that feed our autonomy AI models. In this role you will be a member of the Autonomy team responsible for executing the technical strategy for transforming massive amounts of autonomy data into high-value training signals for autonomy decision making. You will design and build data products for autonomy researchers, develop queries for rare "needle-in-a-haystack" scenarios, and trigger labeling and data ingestion workflows without human intervention. You will partner directly with Autonomy ML researchers to understand their data needs, collaborate with infrastructure teams to define the right data interfaces and APIs, and build robust data selection, simulation, and introspe

About the Team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent. About the Role You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role. You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission. In this role, you will: Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve. Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist. Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles. Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit. Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains. You might thrive in this role if you: Significant experience recruitin

Airtable helps organizations build the applications and workflows they need to run their most important business processes, without being constrained by off-the-shelf software. Its flexible platform combines a relational database, custom applications, automations, and AI, giving teams the building blocks to create solutions around the way they actually work. Just like Lego blocks, what our customers can build with Airtable is virtually limitless. That flexibility is why more than 500,000 organizations, including 80% of the Fortune 100, use Airtable to power critical work across their businesses. We’re builders at heart, and we’re looking for builders who want to expand what’s possible in Airtable and what the world can build with it. We sell a powerful, flexible product to organizations with very different problems, teams, and ways of working. That means the best opportunities rarely come from following a script. We need someone who finds that energizing—someone curious enough to understand how a business works, persistent enough to earn a prospect’s attention, and thoughtful enough to make every interaction relevant. If you’re excited by the challenge of finding the right accounts, understanding what matters to them, and figuring out how to earn a conversation, you’ll thrive here. You’ll have the freedom to experiment, learn quickly from what works and what doesn’t, and build the skills to become an exceptional salesperson. Please note, this is a hybrid position based in Austin with the expectation of 3 days a week in office. What you'll do Run a hybrid pipeline motion: act on product-led signals early in the week, then shift into outbound prospecting for the bulk of your time. Qualify prospects through calls, emails, and social media (LinkedIn) to generate sales-ready meetings for Account Executives. Partner with AEs on our larger, more strategic accounts, shaping territory plans and outreach. Build, test, and iterate on outbound strategies, using AI t

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role As a Product Operations Manager, you’ll work closely with Product and Engineering teams to drive launch operations and quality, ensuring teams can operate effectively as Notion scales. You’ll serve as the core liaison between Product and the go-to-market organization, helping ensure new products and features are successful. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. The ideal candidate is able to dive into ambiguous problems that require deep technical fluency, think in systems to scale technical programs, identify and build agentic workflows to accelerate processes, and communicate effectively to drive alignment across cross-functional teams. Your core responsibilities are: Partner with product teams to help drive product strategy by synthesizing customer + internal signals into clear insights, framing bets/tradeoffs, and driving alignment on priorities. Build agentic wor

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 We are looking for a Threat Intelligence Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact. This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function. Responsibilities: Build automated detection systems that use disparate signals to identify abusive behavior. Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure Establish feedback loops with investigators to tune detection systems and reduce false positives Scrape and normalize data from external sources to feed threat detection and enrichment workflows You may be a good

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 We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study tr

The role We’re hiring a senior, hands-on Product Manager to join WooCommerce Payments and take ownership of a defined area within our payments products and partner integrations. You’ll collaborate closely with the Head of Product, and work day-to-day with engineering, design, support, and partnerships. This role is deeply executional. You’ll spend much of your time in the work: in Linear writing and refining issues, triaging bugs and incidents, reviewing and shaping flows in Figma, creating lightweight prototypes, and writing briefs or PRDs when they’re needed. Payments at WooCommerce run at a serious scale—billions in total payment volume—and the quality of this experience directly affects merchant revenue, shopper conversion, and the success of Woo’s commercial engine. This role sits right where reliability, trust, and execution matter most. What you’ll work on Own product direction and execution for a key part of the payments product area, with clear goals, priorities, and measurable outcomes. Improve merchant and shopper experiences across onboarding, checkout, refunds and disputes, payouts, reporting, and overall reliability. Raise the quality bar by reducing failures and friction, lowering support volume, and improving product ratings and merchant trust. Use data, support signals, and merchant feedback to decide what to work on next, define success measures, and make tradeoffs explicit. Work closely with priority payments partners (including Stripe and PayPal) to improve integrations, ship changes, manage dependencies, and resolve issues. Keep stakeholders aligned through clear, direct writing and communication about progress, risks, and decisions. What we’re looking for 7+ years in product roles, with senior IC experience owning complex problem spaces and influencing cross-functional teams through clarity of communication and precision of execution. 4+ years in payments or fintech, ideally on products operating at scale; experience with large or global launch

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As a Staff Research Engineer, you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on avatar-centric interactive video diffusion models. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses. This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that can think, act, and react like humans. As part of our Interactive Avatars Team, you’ll work on cutting-edge research with a clear focus on turning breakthrough ideas into real product capabilities. You’ll join a team that moves fast, iterates often, and builds models that ship and make a meaningful impact. Example tasks and responsibilities include: Adapt diffusion models to incorporate diverse conditioning signals (e.g., audio, motion, interaction cues). Develop methods for streaming infinitely long video sequences at real-time rates. Work on the perceptual layer of interactive agents, including understanding user audio and generating appropriate contextua

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 We are hiring a Senior Go-To-Market TA Partner to accelerate GTM hiring out of our Santa Clara office. This role is built for someone who already speaks GTM quota, pipeline, QBRs, retention, and expansion and can plug into an active motion with minimal ramp. You will work closely with leaders to build high-quality GTM teams that directly impact revenue. This is a hands-on, on-site role designed for a TA Partner who values ownership, speed, and sharp hiring judgment. A lot of what we hire sits at the intersection of AI, product, and platform. On the tech side, terms like RLHF, SFT, and foundation model work should already mean something to you before the intake call. On the GTM side, you should know whether a role calls for a PLG-motion seller, an enterprise AE, or a RevOps operator and understand how ARR stage and ICP shape that answer. You follow what AI-first startups are building for and bring those signals into how you run searches here. What you will do Own full-cycle hiring across GTM, Product, Engineering and Design Build sourcing workflows using AI tools and agents, not inbound pipelines or third-party agencies Advise hiring managers and leadership directly: bring market data, calibrate scope, and

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As a Senior Research Engineer, you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on avatar-centric interactive video diffusion models. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses. This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that can think, act, and react like humans. As part of our Interactive Avatars Team, you’ll work on cutting-edge research with a clear focus on turning breakthrough ideas into real product capabilities. You’ll join a team that moves fast, iterates often, and builds models that ship and make a meaningful impact. Example tasks and responsibilities include: Adapt diffusion models to incorporate diverse conditioning signals (e.g., audio, motion, interaction cues). Develop methods for streaming infinitely long video sequences at real-time rates. Work on the perceptual layer of interactive agents, including understanding user audio and generating appropriate contextu

Our Internal Data team is on a mission to power decisions and applications across MongoDB, oriented around the business areas of GTM, Product & Technology, Finance and HR. With this role, we are focusing on delivery of scalable, insightful, and impactful data products for our Product and Technology (P&T) teams - the org that builds MongoDB products for our external customers. These products drive smarter decisions, automate workflows, enable AI agents and deliver actionable insights that accelerate growth. If shaping the future of data-as-a-product excites you, then this opportunity is for you. As a Senior Data Product Manager on our Data team — which includes Data Pipeline/Platform Engineering, Data Architecture, and Data Governance — you will lead efforts to build, enhance, and scale the data products MongoDB employees use every day across a growing, high-impact company. You’ll deliver data products like data pipelines, datasets, reports/dashboards, APIs, ML models, playbooks, and frameworks while enhancing more traditional data management tools/services to power both AI and BI. These data products form the backbone of our internal data ecosystem and are instrumental in empowering teams to achieve their KPIs and innovate faster. In this role you will also have the opportunity to drive the vision and strategy for internal data as a product, with a focus on telemetry and product adoption/engagement/churn signals. By developing tools and systems that provide deep insights into how customers use or don’t use MongoDB’s products, you will empower teams to understand customer behaviors and improve the end-user experience. The goal is to enable data-driven decisions that enhance product design, drive customer value, and fuel innovation across the MongoDB portfolio. This role can be based out of our Palo Alto, San Francisco, or New York City office or remotely in the East Coast region. Responsibilities Lead Product Strategy and Ownership Define product vision, stra