Hardware Security Engineer Jobs

About the Team At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology. We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next. About the Role As a leading and fast-growing e-commerce company, our physical infrastructure is the backbone of our massive logistics and digital ecosystem. We operate high-capacity, multi-site data center environments supporting our continuous digital operations. In addition, our physical footprint spans a highly distributed network of nationwide logistics centers, fulfillment hubs, and corporate offices. We are seeking a highly resilient, strategically minded, and hands-on Infrastructure & Field Operations Manager to lead our Field Operations Team. In this role, you will oversee all physical infrastructure deployments, structured cabling, rack installations, hardware maintenance, and field operations across all our data centers, supply chain networks, and offices.

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We are seeking a highly motivated Systems Engineer to help shape the architecture and integration of our next-generation delivery platforms. In this role, you will define system requirements, interfaces, and verification strategies that connect diverse hardware, software, and operational teams into a cohesive, safe, and reliable system. You will translate high-level business and mission objectives into clear engineering specifications, ensuring our delivery platform meets performance, safety, and regulatory goals. The ideal candidate brings a strong background in complex system development, with experience in aerospace, autonomous vehicles, or other safety-critical domains, and thrives in a collaborative, fast-paced environment where clear thinking and systems-level perspective drive success. You’re excited about this opportunity because you will… Define system requirements and interfaces for delivery platforms, translating business and operational goals into verifiable technical requirements Develop and maintain system architecture and interface control documents that allocate functionality, performance, and safety constraints across subsystems and components. Lead trade studies and technical risk assessments to evaluate design options and make data-driven recommendations balancing various objectives Create verification & valida

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork’s on-demand labor marketplace is uniquely valuable for robotics and physical AI. We’re working with leading frontier labs to create the highest-quality, highest-diversity datasets for training robotics foundation models. Instawork Robotics is the human advantage in the robotics revolution. We are seeking a highly driven Assistant Manager – Operations to support and execute field data collection operations across multiple regions. You will coordinate Field Officers and Regional Coordinators, track daily targets, manage manpower and equipment deployment, and resolve operational issues in real time. Working closely with Pipeline, Inventory, Hardware, and QA teams, you will help ensure consistent, high-quality recordings are delivered every day . About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answ

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. The Senior Engineer supports advanced NAND dry etch process development by improving process windows, optimizing recipes, and troubleshooting yield/quality issues in collaboration with Process Integration and other module teams. The role requires strong experimental discipline (DOE/SPC), structured problem-solving, and the ability to translate technology requirements into production-worthy process improvements. Main Responsibilities Perform advanced dry etch process development tasks including process window analysis, recipe optimization, and tool continuous improvement evaluation for 3D NAND technology. Troubleshoot process issues as part of cross-functional teams to improve yield and quality and take ownership of assigned improvement opportunities. Collaborate with Process Integration and other process development areas (Wet Etch, CVD/Diffusion, Metals, Lithography, CMP) to develop and integrate solutions. Conduct root cause / failure mode analysis and work with vendors/suppliers where needed to close hardware/process gaps. Support pilot-line execution and process transfer activities as required by program needs. Other Responsibilities Drive

We are looking for an experienced and proactive Infrastructure Support Engineer to provide technical support and administration across our cloud and on-prem IT environments. This role combines infrastructure operations, technical support, and platform administration, delivering specialised technical assistance to our company employees, including quantitative researchers, developers, and business teams across the Americas (GMT-3 to GMT-6) or Asia-Pacific (GMT+7 to GMT+9) time zones. The ideal candidate will have hands-on experience with AWS infrastructure, enterprise platforms, and strong analytical and troubleshooting skills. The role requires excellent communication skills and the ability to support both technical and non-technical users in an international environment. WHAT YOU'LL BE DOING: Handle and respond to employee support requests through corporate communication and ticketing platforms Support, maintain, and troubleshoot cloud and on-premises infrastructure services, applications, and enterprise platforms Manage user accounts, access permissions, system configurations, and related administrative tasks Troubleshoot hardware, software, access, and basic connectivity issues including VPN, Wi-Fi, DNS, and related networking components Monitor infrastructure health, performance, and availability Conduct root cause analysis for recurring technical and infrastructure-related issues, and recommend improvements Contribute to automation, integration, and process improvement initiatives Maintain clear and accurate technical documentation, operational procedures, and user guides Work closely with cross-functional teams to design solutions and implement system improvements and upgrades Provide remote support for office and on-premises IT infrastructure, where applicable WHAT WE LOOK FOR IN YOU: Bachelor's degree in Computer Science, Information Technology, or related field At least 5 years of experience in IT Support and Engin

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 a Principal Software Engineer, you will help define and build the high-performance, highly reliable foundation of the Nuro Driver. This role spans Device Platform, Performance, and Onboard Systems, requiring deep technical leadership across sensor and compute integration, onboard runtime systems, distributed execution, and autonomy software performance. You will architect hardware-agnostic device interfaces, inter-device communication pipelines, runtime APIs, and onboard software platforms that enable Nuro’s autonomy stack to run safely and efficiently across current and future vehicle platforms. You will also lead system-wide performance and reliability efforts, including latency reduction, resource efficiency, observability, automated validation, and tooling for debugging complex onboard systems. This is a highly cross-functional and high-impact role. You will partner with autonomy, hardware, safety, validation, opera

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. Our robots are engineered for demanding outdoor environments, with a focus on real-world deployment and scalability. We are looking for a Model Evaluation Operator - AI Robotics (Contractor) to help evaluate, validate, and improve robotic AI systems through structured real-world testing workflows. This role is ideal for someone who enjoys hands-on technical work, operating robotic systems, and working closely with cutting-edge robotics technology. You will play a key role in conducting open-loop and closed-loop model evaluations, running model inference, and operating real robots to execute actions with precision. You will also collect high-quality operational data and performance feedback that directly contribute to improving our AI models. This is a highly hands-on role working with physical robotic systems in a lab/industrial environment. Responsibilities Execute closed-loop robotic model evaluation workflows in real-world environments. Perform robotic manipulation and operational tasks with high consistency and accuracy. Closely observe and document robot behavior, model performance, task failures, recovery behavior, and edge cases in detail. Maintain accurate evaluation logs, notes, annotations, and performance records for engineering review. Identify and report inconsistencies, failure patterns, safety risks, and unexpected robot behaviors. Follow structured workflows for setup, execution, reset, troubleshooting, and evaluation procedures. Capture, organize, and annotate operational data to support AI model training and validation. Run Linux command-line tools and basic scripts for workflow execution and system operation. Assist with hardware setup, calibration, and maintaining stable robot operation. Collaborate with engineers and researchers to improve model evaluation quality and operational efficiency

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. The Opportunity Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. We build and operate the base layer of ML tools, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Design, implement, and operate cutting-edge ML Training OR Inference performance optimization techniques to scale our VLM, VLA, and Foundational models and deploy them efficiently in our robotaxi. Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware

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 Santa Clara, CA 95054. 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 so

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 Santa Clara, CA 95054. 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-break

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 Los Angeles, CA. 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

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 Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments. With Terminal, businesses can unlock in-person payments use cases that are right for their business model—whether it’s creating a superb retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event. We’re looking for an experienced product manager to lead and shape the future of the software platform that powers Stripe Terminal’s devices portfolio. Working closely with your engineering partners you will design, build and launch device software capabilities that delight users and differentiate Stripe’s solutions in the market. Working closely with our hardware experts you will build the multi-year strategy for how Stripe will continue to enhance the scalability, reliability, usability, and market differentiation of the software capabilities of our in-person commerce devices. In this role, you will work with a spectrum of users, from our largest platforms to small start ups as well as external technology partners to deeply understand user needs and market trends. You will obsess over stability, scalability, and expanding our product while delivering the best in person experiences in the world. What you'll do: Set a motivating multi-year vision for device softw

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. Responsibilities Develop and optimize unit processes to meet the yield and quality requirements of advanced NAND part type Quantify benefits of innovative process and/or equipment solutions to enable early experimentation and adoption for process margin improvement Prioritize within Singapore based manufacturing Wet Etch team on the key technology issues that need TD breakthroughs. Integrate and troubleshoot processes as part of cross-functional teams driving yield and quality improvement Participate with Boise TD peers on technology choices for the upcoming nodes and able to translate future technology device needs into clear process requirements Identify disruptive processes early on and work with manufacturing and Boise TD to identify viable path forward Process development will include performing fundamental research, hardware evaluations, as well as testing processes for novel applications and generating intellectual property relevant to Micron. Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions Identify process simplification opportunities and drive cross functional teams in implementation Incorporate best known m

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