Hardware Lab Manager Jobs

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. Basic Qualifications Proficiency in C/C++ Familiar with Sigmastar / Ambarella platform Proficiency with Video/ Audio streaming and transcoding Understanding and experience with ARM platform Experience with debuggers such as gdb, strace, etc Embedded software development experience in Linux driver and both kernel & user modes are desired Familiarity with some form of scripting (shell, python, nodejs) Familiarity with Git version control A genuine passion for embedded software development A team player, who is very self-motivated, loves difficult challenges, and is goal driven Ability to deliver on tight schedules BS/MS in Computer Engineering, Computer Science or equivalent Fluent in both written and spoken English to work effectively within a highly collaborative environment with colleagues around the world Preferred Qualifications Experience with development boards such as Raspberry Pi, Arduino, BeagleBoard Experience with build system such as OpenWRT/BuildRoot/Yocto Familiarity with standard hardware protocols (gpio, usb, uart, pwm, flash, spi, i2c, ...) Job Description In this role you will implement kernel mode and user mode applications for UniFi-Protect product line device firmware, from bootloader up to user-space applications, like Linux Kernel, rootfs, Websocket, RESTful API design, gRPC, etc You will also implement

About the Team The Post-Training Frontiers team is responsible for training the frontier agents OpenAI ships to the world (GPT-Next). We train the flagship agentic models behind Codex, ChatGPT, and the API through large-scale reinforcement learning. The team’s work spans four areas. First, execution and science: working with teams across OpenAI to decide what can go into the final model and how, using scientific experiments and evals that are representative of the final pipeline so issues can be recognized early. Second, RL scaling: executing the final large-scale reinforcement learning run, making sure GPUs are used efficiently and training stays healthy. Third, research: improving horizontal capabilities like instruction following, factuality, memory, and multi-agent behavior, where the team’s broad visibility helps identify cross-cutting improvements across teams and domains. Fourth, engineering: maintaining the infrastructure stack and internal tools to ensure that both the final run and all integrations go as smoothly as possible and that the systems are easy to work with. About the Role This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure problems as they emerge, from scaling and orchestration issues to inference bottlenecks, numerical problems, and hardware failures, as well as supporting large horizontal integrations in the big run, like multi-agent capabilities or memory. This is a role for a strong generalist who quickly learns anything needed for the task, has high attention to detail, debugs deeply, and is motivated by fixing the highest-impact problem in front of the team. In this role, you will: Keep large-scale async RL training runs moving by jumping into the most urgent engineering and infrastructure problems. Debug issues across training systems, inference, orchestration, scaling, and distributed infrastructure. Improve the reliability and efficiency of RL trai

About the Team The Release Engineer team is responsible for building and maintaining the systems that power software delivery—from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure software across bootloaders, firmware, operating systems, and cloud services is built reproducibly, validated rigorously, and released safely at scale. About the Role As a Release Engineer, you’ll design, build, and operate release infrastructure that enables reliable, secure, and traceable software delivery across complex multi-component systems. You’ll partner closely with embedded, cloud, and QA teams to ensure that every build—from development to OTA deployment—is fast, verifiable, and production-ready. We’re looking for engineers who take pride in automation, build reproducibility, and system reliability—and who enjoy building the connective tissue that allows hardware and software to ship together seamlessly. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and operate CI/CD pipelines for multi-component builds (bootloader, firmware, OS images, backend, companion apps) using hermetic toolchains. Define versioning and branching strategies; automate promotions, changelogs, and artifact retention. Integrate unit, integration, and hardware-in-the-loop (HIL) test results; quarantine flaky tests, auto-bisect failures, and block unsafe promotions. Build A/B OTA update flows with verity and health checks; run staged rollouts and canaries; implement safe rollback and roll-forward strategies. Implement code signing for binaries and firmware, generate SBOMs, run vulnerability scanning, and attach build attestations and provenance. Manage dashboards and alerts for build health, promotion latency, failure rates, and fleet update telemetry. You might thrive in this role if you: Have experience building and operating buil

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Behind the scenes, we’re a team of computer scientists, hardware engineers and experienced founders who saw a chance to make a real impact. We’re united by the challenge of building beautiful products, designed for real people—and by our commitment to using technology responsibly. We believe keeping data private and secure is core to our safety as individuals, businesses and communities and we put great care into building systems that embody our values as people. Likewise, many of Silicon Valley’s top investors believe in us: we’re backed by Sequoia Capital, FirstRound, Meritech and Siemens (Next47). What You'll Do Build, operate and improve Verkada’s Security Monitoring, Detection and Response infrastructure Onboard new systems and services to our SIEM Tune alerts to maintain high signal Automate data enrichment and incident respon

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role You will be a valuable and developing member of the Service Operations team at DoorDash Labs. You will build on your existing technical skills to perform diagnostic, maintenance, and repair work to keep our robot fleet and electric bicycles operating at peak performance, supporting our fleet utilization goals. You will work closely with Senior Service Technicians and your manager to expand your troubleshooting skills, gain deeper familiarity with our systems, and progressively take on more complex repairs. This is an on-site role with expectations of 100% in-office presence in Fremont, CA, San Jose, CA, or Sunnyvale, CA. You’re excited about this opportunity because you will… Perform standard and intermediate Service Technician tasks with growing independence, including service and upkeep of robotic systems and electric bicycles. Repair common faults in robotic platforms, modular components, electric bicycle drivetrains, and support vehicles using established troubleshooting procedures. Assist with complex or unusual faults alongside senior or lead technicians to learn advanced diagnostic methods for both robotic systems and e-bikes. Complete repairs on electrical systems, control units, battery packs, and hardware under guidance, with opportunities to develop toward independent advanced repairs. Use and interpret technical manuals, schematics, and diagnostic flowcharts to guide your work, applying these resources to both robot and electric bicycle service tasks. Document all diagnostic steps, repair actions, and component failures in the service management system to maintain accurate records and support fleet readiness. Learn from and collaborate with experienced technicians,

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. Job Summary The role is responsible for end‑to‑end performance and power maturity of assigned Data Center SSD programs. The candidate owns execution quality, technical depth, and cross‑functional alignment to ensure performance and power targets are met with high confidence from early bring‑up through customer qualification. The role combines strong technical execution , data‑driven decision making , and program‑level leadership across firmware, architecture and platforms. Key Responsibilities Program Ownership & Execution Own end‑to‑end performance and power readiness for assigned programs, from early FW maturity through customer qualification. Ensure the delivery of high‑quality performance and power data aligned with program goals. Drive Program Status Updates for performance and power to Product Development team and other stakeholders. Technical Depth & Debug Perform in‑depth performance analysis and root‑cause debug , developing strong understanding of firmware behaviors, state machines, and hardware interactions. Identify performance risks early and work with FW, Arch, and System teams to drive mitigations. Represent pe

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 Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance. Key Responsibilities Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them Own and

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team Engineering at Privy is distinguished by: High urgency—Shipping very small iterations, very fast, to learn very quickly. Product taste—Our customers are developers, and to build effective products for them requires technical knowledge —you will often be "the PM". Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low-latency APIs, and blockchain abstractions that are accessible to mainstream developers. At Privy, our Forward Deployed Engineers work on the company’s most important customer problems. They partner closely with customers to architect our most complex integrations and build new product features that close the gap to win deals. What you’ll do We’re looking for an Engineering Manager to lead this team as it continues to grow. You’ll be responsible for helping an outstanding group of Forward Deployed Engineers do the best work of their careers while staying laser-focused on helping Privy and its customers win. This is a high-leverage role at the intersection of customers, product development, and engineering. You’ll help the team stay

This is a temporary, full-time position with full benefits, with an expected end date of 12 months from hire. This position is based on site in Houston, TX . 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 Our operations team is growing and we are looking for Autonomous Vehicle Operators (AVOs) to join us. In this role you will be responsible for operating our autonomous test vehicles that run proprietary software and hardware, while helping train our self-driving technology. Professionalism, care, and personal accountability are significant attributes as you will be expected to adhere to the culture of safety and standards of conduct exemplified by the team. You will have to pass a number of training checkpoints both in and out of the vehicle. About the Work Operate a vehicle in manual and autonomous mode up to 8 hours per day in diverse traffic conditions while adhering to proper safety and operational driving procedures Utilize proprietary ground-breaking software to

This is a temporary, full-time position with full benefits, with an expected end date of 12 months from hire. This position is based on site in Houston, TX . 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 Our operations team is growing and we are looking for Autonomous Vehicle Operators (AVOs) to join us. In this role you will be responsible for operating our autonomous test vehicles that run proprietary software and hardware, while helping train our self-driving technology. Professionalism, care, and personal accountability are significant attributes as you will be expected to adhere to the culture of safety and standards of conduct exemplified by the team. You will have to pass a number of training checkpoints both in and out of the vehicle. About the Work Operate a vehicle in manual and autonomous mode up to 8 hours per day in diverse traffic conditions while adhering to proper safety and operational driving procedures Utilize proprietary ground-breaking software to

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Account Security (AccSec) pod sits within the Accounts team (part of the broader Safety organization) and is at the heart of building a safe and civil platform for users of all ages. Account Security is especially challenging at Roblox because it is open to all ages. As the EM of AccSec pod (7+ ICs) you will work closely with peers throughout Roblox and the creator community to reduce the impact of account takeover (i.e. compromise) for Roblox players, creators, and the broader community. This is a role that requires entrepreneurship. We are looking for the EM of the AccSec pod to, in collaboration with product partners, to formulate a strategy for how to reduce ATO, reduce the impact of any remaining ATO and build community trust in the security of their accounts. Examples of past and current efforts include: Cryptographically binding user secrets to hardware backed secrets. Detecting client side tampering by Browser extensions. Integration with Passkeys. Post-login modeling for ATO detection. Reducing incentives for bad actors by making assets more recoverable. While this is a security team that focuses heavily on product and infrastructure changes to improve security, we also c

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Director, Electrical Engineering – Corded & Cordless Products Needham, MA Lead the Electrical Engineering Behind Products Used in Millions of Homes SharkNinja's corded and cordless product portfolio spans some of the most technically demanding categories in consumer electronics — and the electrical engineering that powers them has to be exceptional. We're looking for a Director of Electrical Engineering to lead that work: a hands-on technical leader who can drive complex programs from early concept through high-volume production, and build a team that sets the standard for how we design and deliver hardware. This is a role for someone who leads from the front. You'll be as comfortable reviewing a PCB layout or debugging a motor control circuit as you are presenting to senior leadership or partnering with contract manufacturers overseas. You set the technical bar, and your team

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Product Design team is made up of several groups that define, create, and deliver all user-facing aspects of Stripe’s brand and product. Product Designers are strategic partners to Engineering and Product Management within their product area. In close collaboration with product teams, they shape user experiences, then translate them into high-quality designs that can be tested, shipped, and refined. Designers are responsible for building elegant, functional products that users love—and want to tell others about. The Terminal design team crafts product experiences that empower users to configure and manage in person payments. This team transforms the intricate world of payments into intuitive solutions, letting users focus on growing their businesses. The team spans hardware and software, focusing on many types of users: end users who pay at the point of sale, cashiers and operations managers who set up and run the devices, and merchants who manage a fleet of devices and need to monitor performance. What you’ll do As a product designer, you’ll work closely with the product manager and engineering team to envision payments features in the Stripe Dashboard and our end-user-facing surfaces and partner with go-to-market teams to bring them to users. That includes new feature development, product quality improvements to our most frequently used workflows, and setting vision for our products to meet new user expectations in an increasingly data

Salary Range: PLN 260,000-352,000 Subject to alignment to the responsibilities and duties of the role About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary We are looking for a senior engineer to design and evolve an application-level simulator for ML workloads that directly influences hardware and software architecture decisions. This role sits at the intersection of machine learning, systems, and hardware design. You will model real-world workloads, predict system behaviour, and provide insights that guide how our platform evolves. Success in this role requires not only strong technical depth, but also the ability to work closely with multiple teams to ensure the simulator reflects reality and drives meaningful decisions. The Team The Tenjin team focuses on building advanced simulation capabilities to model and predict the behaviour of large-scale ML workloads on next-generation hardware and software platforms. We operate at the intersection of machine learning, systems, and architecture, developing tools that enable data-driven decisions long before systems are fully built or deployed. Our work helps shape both hardware and software direction by providing early insights into performance, scalability, and efficiency. The team brings together engineers with backgrounds in simu

About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Responsibilities Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinking with the ability to understand problems across hardw