Embedded Systems And Platform Engineer Jobs

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is building the next generation of AI-powered strategic planning and work execution agents through SmartAssist, our intelligent agent platform. You will work closely with Engineering and AI Platform teams, embedded in a team working in a critical area and building toward a mature Agent Development Lifecycle (ADLC). You will architect how we design, build, and operationalize AI-driven solutions that transform work execution at enterprise scale. You Will: Design and build production-grade LLM-powered agents and workflows within Smartsheet, including architecture decisions on system design, data pipelines, and deployment strategies Develop and optimize prompts, RAG pipelines, and agent reasoning patterns; build evaluation frameworks to measure accuracy, hallucination rates, and performance across model versions Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), including monitoring, optimization, and incident response Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into technical AI solutions that drive real impact Mentor and guide other engineers on applied ML best practices, modern AI development patterns, and production considerations Establish best practices and standards for AI development, model governance, and responsible AI within the organization Stay current with the rapidly evolving AI/LLM landscape and evaluate emerging tools, frameworks, and techniques for Smartsheet's needs Contribute to a full stack applicati

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We build firmware that sits at the core of industry-leading SSD products, enabling the performance, reliability, and scalability our customers depend on every day. Our team works across hardware, silicon, systems, and software to solve complex storage challenges and shape the future of storage technology. If you enjoy solving difficult engineering problems and influencing technical direction, you'll find plenty of opportunities to make an impact here. This role is a key technical leadership position responsible for defining the architecture and long-term strategy for Common Services firmware across multiple SSD product generations. You will guide critical architectural decisions, collaborate with experts across subject areas, mentor engineers, and help drive the adoption of emerging technologies, including AI-assisted engineering practices. Your work will directly influence product quality, development efficiency, and future platform capabilities. Responsibilities Define and evolve Common Services firmware architecture and technical strategy across SSD products and storage platforms Lead the design of embedded firmware solutions, establish engineering standards, and drive architectural decisions that improve performance, scalability, and reliability Partner with hardware, silicon, software, and product teams to solve system-level challenges and optimize the storage stack Communicate architecture plans, technical risks, and technology recommendations to engineering and business partners<

Job Title: ML Annotation QA Engineer About Us Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software, we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team Our engineering organization spans autonomy, computer vision and machine learning, embedded and hardware systems, full-stack, and cloud, all working in parallel across multiple active product lines tied to live customer deployments. It’s a technically deep, fast-moving team where individual contributors carry real accountability and the work shows up directly in customer operations. Ground truth quality sits at the centre of that — the annotated data this role owns is what our models are trained and measured against. About the Role We are looking for an ML Annotation QA Engineer to own the quality of annotated data across our computer vision and machine learning programs. This role is responsible for the judgment-heavy analysis that cannot be reliably outsourced, for the decision rules behind it, and for turning annotation output into an ongoing read on how our systems are actually performing in the field. We work with an external annotation partner at production volume, and that continues. What we need in house is someone who can analyse the annotated data, make and defend the calls the v

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 Ramp is building out its partner ecosystem, and the Technology Partnerships team sits at the intersection of product, sales, engineering, and our growing network of third-party platforms. As a Channel Partner Manager, you'll turn Ramp's developer platform and embedded finance capabilities into scalable, revenue-generating partnerships with ISVs, embedded finance partners, and strategic tech platforms. You won't just help integrations launch; you'll make them a repeatable engine of partner-driven growth. You will be expected to source and shape partner opportunities, pitch and close co-build and co-sell agreements, own commercial success metrics, and orchestrate Ramp's internal teams and external partner teams toward meaningful activation and revenue. What You'll Do Identify, prioritize, and close high-value ISV and embedded partner opportunities where Ramp can drive meaningful TPV, activation, and revenue Pitch, negotiate, and close co-build and co-sell agreements with third-party platforms, ISVs, and strategic partners Collaborate cr

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 Ramp is building out its partner ecosystem, and the Technology Partnerships team sits at the intersection of product, sales, engineering, and our growing network of third-party platforms. As a Channel Partner Manager, you'll turn Ramp's developer platform and embedded finance capabilities into scalable, revenue-generating partnerships with ISVs, embedded finance partners, and strategic tech platforms. You won't just help integrations launch; you'll make them a repeatable engine of partner-driven growth. You will be expected to source and shape partner opportunities, pitch and close co-build and co-sell agreements, own commercial success metrics, and orchestrate Ramp's internal teams and external partner teams toward meaningful activation and revenue. What You'll Do Identify, prioritize, and close high-value ISV and embedded partner opportunities where Ramp can drive meaningful TPV, activation, and revenue Pitch, negotiate, and close co-build and co-sell agreements with third-party platforms, ISVs, and strategic partners Collaborate cr

Datadog is seeking curious, driven interns to join our Product Management team and help build products that improve how engineers monitor and understand their systems. As a Product Management Intern, you'll support the product development lifecycle by partnering closely with Engineering, Design, and Product Marketing to bring new ideas and features to life. You'll gain hands-on experience working on products that serve highly technical customers while contributing to meaningful business and user outcomes. Interns are embedded directly within product teams, working on meaningful initiatives alongside full-time Product Managers and contributing to actual product decisions. Our platform processes over 100 trillion events per day across 30,000+ customers in a multi-cloud environment -- giving you direct exposure to large-scale, real-time systems built by engineers, for engineers. It's an environment where you'll develop product thinking, technical communication, and cross-functional collaboration skills by doing the work, not just observing it. 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: Conduct customer discovery conversations and gather feedback to better understand user needs Drive product initiatives from concept through launch alongside Engineering, Design, and Product Marketing teams Translate customer and business needs into clear product requirements and engineering priorities Analyze customer feedback, product data, and market insights to help inform product decisions Prepare and deliver technical product demonstrations and communication materials Develop technical understanding of Datadog’s observability platform and cloud infrastructure products Who You Are: Targeting a 2028 full-time graduation or start date Pursuing a degree in

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 The Ramp Travel team builds the travel booking and management platform built-in to Ramp. We build the capabilities that allows travelers to stay productive on the road: flight and hotel search, booking and checkout, our agentic travel assistant, and on-the-go mobile trip guidance. We also own the capabilities that ensure companies are spending their travel dollars effectively: travel policy evaluation, supplier and TMC integrations and benchmarking, and data insights. Growing the sophistication and global reach of the Travel product is a top strategic priority at Ramp. The work this team does directly enables Ramp to to support some of the largest and most interesting customers in the world. What You’ll Do Lead, mentor, coach, and grow the Ramp Travel engineering team (~6 engineers today). Own delivery across our travel management surfaces: search and inventory, quoting and repricing, checkout, policy evaluation, loyalty, post-booking servicing. Own reliability and correctness of a system dependent on third parties: supplier APIs, GDS

Who we are About Bridge We're creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. We have a small team of people who have previously built financial infrastructure at some of the world's leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb), and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement. About the team Join our Product team to build the systems that make global, programmable money trustworthy at scale. At Bridge, we're not just improving global payments—we're reinventing how money moves across borders using stablecoins and modern financial infrastructure. As a Product Manager for Compliance, you'll own the products and systems that allow Bridge to scale safely across geographies, partners, and transaction volumes. You'll work at the intersection of product, engineering, data, compliance, and operations to design customer compliance systems that are fast, adaptive, and deeply embedded in how our platform works. This role is about enabling high-velocity growth with strong controls—using real-time decisioning and thoughtful product design to move fast without cutting corners. What you'll do Responsibilities Own the core compliance control plane by defining and delivering the unified API and self-service pl

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 As Chief of Staff for Nuro Driver, you will play a critical role in driving strategic programs, improving execution, and helping refine the Autonomy Product that powers Nuro’s commercial partnerships and deployment roadmap. Nuro Driver encompasses Autonomy, Controls, Embedded Software, Sensor Data & Calibration, and Systems Engineering, Technical Program Managers - the core technical functions responsible for developing, integrating, tuning, validating, and scaling the Nuro Driver. Reporting to the VP of Nuro Driver, you will operate as a trusted proxy and execution partner, working across internal engineering teams, company leadership, and key external partners to bring clarity, structure, and momentum to Nuro’s most important technical and business priorities. This role requires strong strategic judgment, technical fluency, operational rigor, and executive-level stakeholder management. You will help translate complex

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 The Embedded Software team owns the software running on Hark’s next generation of AI hardware, and we are looking for an Embedded Software Engineer, Platform to own the OS platform layer of it. You will design, configure, maintain, and optimize the OS platform services, the user space services and daemons above them, and the protocols that connect the device to our backend. This is the platform end of the embedded spectrum: services, frameworks, virtualization, and protocol work on top of a complex multi-core SoC, in addition to driver and MCU work. You will partner closely with the BSP, embedded software, UX, and backend teams, and with the AI teams whose models run on the platform you build. Responsibilities Design, configure, maintain, and optimize the OS platform services on Hark devices Build system services and daemons, frameworks, and networking primitives and protocols Own backend integrations, including protocol design and the performance analysis behind it Build and maintain virtualization frameworks and multi-OS system design, with the performance analysis to back it Profile and tune the platform for performance and power across the full multi-core system Partner with BSP, embedded software, UX, and backend teams so platform se

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Requirements Develop and maintain embedded networking products based on Marvell switch solutions, such as the Enterprise Fortress Gateway. Work directly with arm64 Linux systems, including kernel-level resource management (cgroup, memory handling, OOM prevention). Perform throughput tuning and ensure system stability under high-load and edge-case scenarios. Debug and resolve complex network and system issues, particularly those arising from real-world customer setups involving advanced topologies. Collaborate with hardware engineers on platform bring-up and system-level optimization. Leverage Marvell SDKs and toolchains, including CPSS, for switch configuration, diagnostics, and control. (Bonus) Utilize or integrate DPDK-based architecture for advanced performance use cases. Remain flexible and ready to handle a wide range of tasks based on project and customer needs, including support, feature integration, testing, and documentation.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It's an environment where engineering is a craft, and builders become leaders. What you'll do The Identity and Access Management team builds and maintains secure, user-friendly authentication and authorization systems that protect users, safeguard company assets, and provide a seamless access experience for developers. The team owns critical platform capabilities including login methods, step-up authentication, our custom authorization platform, account delegation flows like Copilot, Pro Access login, embedded partnerships authentication, and core vendor integrations such as Okta and Oso. As a Software Engi

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you'll do Take on ownership of the cloud platform infra layer that powers Lab37's robotics fleet. This spans building Cloud infra, ML, ETL, CI/CD pipelines that turn raw robot telemetry into actionable analytics, managing data discovery, data lineage and contributing to models training pipelines on our robots, and ensuring the observability and reliability of the entire data stack. Work with a small, high-impact platform team to build the systems that every product team at Lab37 consumes — from data scientists training models, to kitchen operations teams viewing dashboards, to engineers deploying new ML models to robots in the field. Responsibilities Design, build, and maintain scalable ML infrastructure that abstracts away underlying storage, pipeline management, and repetitive environment setup tasks. Implement robust systems for automated model checkpointing, persistent metadata management, and experiment tracking across distributed training runs. Create self-service ML workflows and tooling that empower ML engineers and data scientists to focus on core logic, model architecture, and validation. Build and maintain automated ETL and data ingestion pipelines that stream and transform raw robot telemetry into clean datasets for training and analytics. Contribute to infrastructure-as-code (Terraform) and CI/CD automation for model deployment, data processing, and cloud services. Partner with cloud and embedded engineers to streamline model deployment to fleets of robots in the field and participate i

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Develop Linux user-space firmware for Ubiquiti networking products; Collaborate with global firmware, hardware, cloud, and product teams throughout the product lifecycle; Design, implement, and maintain system services, management daemons, libraries, and product business logic; Develop network-facing applications using sockets, IPC mechanisms, netlink, and event-driven I/O; Integrate open-source packages and third-party components into our OpenWrt-based firmware and build systems; Maintain and improve existing firmware, focusing on stability, performance, security, and resource efficiency; Develop interfaces between low-level platform components, device-management services, and higher-level product features; Diagnose complex laboratory and field issues using logs, packet captures, tracing, core dumps, and profiling tools. Requirements: 3+ years of embedded Linux software development experience using C or C++; Strong understanding of Linux internals, including processes, threads, memory management, filesystems, signals, and service lifecycle; Experience with Linux networking, sockets, IPC, netlink, epoll, and asynchronous application design; Solid networking fundamentals, including Ethernet, TCP/UDP, IPv4/IPv6, routing, bridging, firewalls, and DNS/DHCP.; Experience with Git, Bash, cross-compilation, toolchains,

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT As a Senior Site Reliability Engineer (SRE) / DevOps Engineer you will be responsible for ensuring the stability, performance, scalability, and reliability of Redwood’s mission-critical SaaS platform. You will apply engineering principles to operational challenges, automate repetitive work, strengthen observability, and collaborate across teams to deliver a resilient and high-performing customer experience. Provide day-to-day management of system alerts, monitor system health, and escalate issues as necessary to maintain high availability. Participate in a 24x7, team-shared on-call rotation for critical SaaS platform incidents and provide support during emergencies. Lead incident response efforts to ensure fast and effective mitigation and resolution of production issues. Perform thorough Root Cause Analysis (RCA) and lead blameless post-mortems to identify systemic weaknesses and establish corrective actions that prevent recurrence. Collaborate with engineering teams to establish and enforce error bud