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NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize Data Center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors including high performance computing, enterprise, Data Center, cloud computing and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focused on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our DataStream and TCP/IP acceleration. What you will be doing: Drive multiple early-stage design concepts of Test Equipment & fixtures while working in fast-paced product development cycles. Independently lead Test Equipment & fixtures design from concept, through detailed design, and support it during Bring-up, Qualification and Mass-Production phases. Participate and lead design and design reviews of Test Equipment & fixtures by using our CMs (Contract Manufacturers) as the designers Collaborate in research of groundbreaking technologies, materials, and processes with other groups to bring in creative ideas that address evolving needs. What we need to see: B.Sc. in Mechanical Engineering or higher degree. 5+ years of experience in classical mechanical design of mechanisms, jigs, fixtures, products and machines development. Knowledge and experience in automation (pneumatics XYZ motion systems, etc) and in design of machining and sheet metal parts Knowledge and experience in static analysis and simulations.

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at a high scale - trillions of data points per day — providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity User safety and platform integrity is critical to our business. Our customer’s success is our success. We’re looking for a Senior Security Engineer to join us in taking a proactive, highly scalable, and data-centric approach to enabling a safe and trustworthy experience for the users of our rapidly growing and increasingly interactive platform. You’ll fight against threats to our users, platform abuse, and other potentially risky and unwanted behaviors on our platform. Our team covers a broad range of trust and safety related topics including software engineering, data science, user engagement, privacy, threat detection, incident response, and bridging gaps between security and the broader Datadog business. You will bring expertise in a few of these areas. You’ll join a growing security team at an ideal time for making a big impact. Datadog is growing rapidly, and AI-assisted development is increasing both the pace of software delivery and the amount of activity generated by AI agents. The product is seeing very high growth, with the platform becoming more interactive and new products and features developed regularly. 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: Have a direct impact on customers and their overall trust of our platform. Drive the technical roadmap in colla

Work Flexibility: Onsite It's Time to Join Stryker! Why Join Stryker? Join Stryker's Mako Robotics team and help shape the future of robotic-assisted surgery! As an Electrical Engineer, you will take ownership of electrical designs supporting Mako's robotic end effectors, contributing to the development, integration, testing, and improvement of sophisticated medical technology. This is a hands-on opportunity to work across the electrical engineering lifecycle, from circuit design and hardware development to troubleshooting and system integration. Working alongside a talented multidisciplinary engineering team, you will help develop reliable, innovative solutions that support surgical precision and improve patient outcomes. If you enjoy building things, solving challenging technical problems, and seeing your designs come to life in real-world applications, this is an opportunity to make a meaningful impact. What You Will Do Design, develop, and support electrical components and subsystems for Mako robotic end effectors, taking ownership of assigned electrical designs throughout the development lifecycle. Translate product requirements into electrical engineering specifications, circuit designs, and technical solutions. Perform schematic design, PCB development, component selection, and electrical hardware integration activities. Build and evaluate prototypes, conduct bench testing, and validate electrical functionality and performance. Troubleshoot electrical hardware and system-level issues, perform root cause analysis, and implement effective solutions. Integrate electrical hardware with mechanical, software, and other system components to support reliable robotic system performance. Evaluate existing designs, identify opportuniti

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. What You'll Do The Senior Regulatory Test Engineer leads the evaluation of products against worldwide EMI, EMC, RF, safety, and cybersecurity regulatory requirements. This role develops test strategies and detailed test plans, interprets new and changing standards, organizes complex test programs, and drives technical alignment across engineering, compliance, product, and external laboratory partners. The position is expected to operate with senior-level judgment, mentor other test engineers, and convert past testing experience and evolving regulatory requirements into repeatable internal practices and policies. Primary Responsibilities: Lead EMI, EMC, RF, safety, and cybersecurity test planning for Ubiquiti's product lines, including wireless access points, gateways, routing products, and related network equipment. Create comprehensive test plans and test readiness checklists that define standards, configurations, modes of operation, sample requirements, instrumentation, acceptance criteria, and schedule dependencies. Perform and oversee EMC and RF testing in accordance with FCC, ISED, EU, and other global requirements using applicable test standards and regulatory guidance. Review, analyze, and interpret test data; identify compliance risks; and communicate clear recommendations to cross-functional engineering, product, operati

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. About Toradex Toradex is a global company specializing in embedded computing solutions. We provide Arm-based System on Modules, Single Board Computers, carrier boards, and industrial software solutions that help customers build robust, secure, and long-lived products faster and with lower technical risk. Our technology is used across industrial automation, robotics, medical devices, transportation, vision, Edge AI, HMI, and other demanding embedded applications. We are looking for a highly experienced technical professional to strengthen our pre-sales capabilities in Japan and help customers turn early product concepts into successful Toradex-based designs. The Challenge Customers do not always come to us with a perfectly defined specification. They may know that they need multiple cameras, industrial connectivity, local processing, a display, low power consumption, fanless operation, long-term availability, and a specific cost target. What they may not yet know is: Which system architecture is appropriate. Which processor and module best fit the application. Which interfaces or resources may become limiting. What technical risks need to be validated. Whether the proposed design can actually meet their performance, thermal, software, lifecycle, and cost requirements. This is where you come in. We are looking for someone who can turn an incomplete customer requirement into: A clear technical understanding of the problem. A credible system architecture. A well-reasoned platform recommendation. A practical proof of concept or validation plan. A convincing t

Are you passionate about the future of autonomous vehicles? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology! In this role, you’ll work alongside experienced engineers to develop advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the U.S. and China. This is a fantastic opportunity to grow your skills and contribute to groundbreaking projects at the heart of our vision for autonomous driving. What you'll be doing: Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. Support Mapless Driving Capabilities: Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment. Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals. Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability. What we need to see: PhD with 1+ year, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or relat

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. In this exciting and challenging role as a test engineer specializing in hardware and firmware, you will contribute to the development of new and modified EEG and Home Sleep Test systems that meet application, business, customer, and regulatory requirements. You will be working in the Device Team, reporting to the VP of Device Systems and working closely with hardware, firmware, system, and software engineers. You are responsible for hardware characterization and verification tests, firmware unit tests, integration tests, verification tests, system integration, root cause analysis, and documentation to meet quality requirements. Your goal as a hardware test engineer is to strive without reserve for the greatest quality and reliability in our products. To accomplish this goal, you will collaborate with other design, research, manufacturing and quality colleagues to develop products from concept to commercialization. You will contribute to product idealization, development, integration verification, and manufacturing. Additionally, you will document design and production processes in accordance with applicable product development procedures, quality and regulatory requirements. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs available located in Boston, New York

Senior Configuration Management Engineer Company: The Boeing Company The Boeing Global Services (BGS) Government Training Engineering organization is seeking a Senior Configuration Management Engineer for the Product Lifecycle Management (PLM) team in Berkeley, MO . As part of our team, you will be focused on configuration management ensuring engineering changes are documented and managed throughout the development lifecycle. You will be a part of an organization that provides industry leadership in commercial and defense aviation training and capabilities, including custom software development, engineering and technical services, and a range of services to support training centers and pilot provisioning worldwide. Position Responsibilities: Support assignment of configuration items/computer software configuration items (CS/CSCI) identifiers Manage program technical baselines and interfaces Prepare and coordinate change documentation and Engineering Change Proposals (ECP) / Contract Change Proposals (CCPs) Perform configuration audits and verification activities for hardware, software, systems Prepare metrics and status reports Attend Engineering and Configuration meetings, working groups and boards. Work with Boeing program teams, Business Partner, Customer and Suppliers Educate and/or train others on program CM processes Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years

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 We are a small, dynamic team focused on building cloud-managed access control systems. Access Control is our second major product line. Our Access Control solution allows users to manage their doors, schedules, and user credentials from virtually anywhere on their laptop or phone. We consider our team a startup within a startup, with a fair amount of ownership and autonomy. You’ll be working alongside a dynamic team of firmware, backend, and frontend engineers to develop this product line. What You'll Do Excited by new products and startups You think about delivering best-in-class products and experiences - not features You can take a less-than-fully-fleshed-out product idea and drive it to completion What You Bring 7+ years of industry software engineering experience Mastery of JavaScript: Scoping, closures, contexts, prototypes, c

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. There is no MSSP and no tier-1 queue here. Detection & Response engineers own their detections end to end: you write them, you tune them, and your team is paged when they fire. The security team is spread across the globe with a follow-the-sun pager rotation so nobody is paged at 3am local. The adversaries are real. The business is growing fast and the threat surface is growing with it. Defining the necessary telemetry is part of the job. What You'll Do Detection engineering Build and tune detections across endpoint, identity, SaaS, and cloud , treating them as software: version-controlled, peer-reviewed, and shipped through the same CI/CD practices the rest of engineering uses. Track detection quality as measured quantities : coverage against MITRE ATT&CK, precision, time-to-detect. We don’t build-and-forget here. Response & automation Own EMEA-hours incident response: triage, contain, remediate, and write the retrospective that turns the incident into a systemic fix. Build automation that removes toil from investigations, and partner closely with the US-based team so context carries across time zones instead of getting lost at handoff. Telemetry &

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior Business Technology Engineer Location: McLean, VA | Work Model: On-site Are you a technical leader ready to architect, optimize, and scale the mission-critical platforms powering a global pioneer in enterprise transformation? Move beyond daily maintenance to bridge strategic engineering gaps, guide cross-functional teams, and future-proof the complex software layers that enable our global workforce. ABOUT THE TEAM The Appian Business Technology team is the strategic engine driving our internal corporate infrastructure forward. We design, optimize, and scale the enterprise systems that empower Appian employees globally, ensuring our internal operations mirror the high-performance capabilities of our market-leading technology and enable our corporate growth in the automation market. THE OPPORTUNITY This lead role is designed for an elite systems expert who thrives at the intersection of enterprise architecture and technical execution. At Appian, you will have the autonomy to direct end-to-end system assessments, implement robust configuration and coding solutions, and pioneer methodologies to simulate user interactions before updates reach production—all while working face-to-face in a culture that champions collaboration and rapid technical innovation at our corporate headquarters. WHAT YOU'LL DO Secure Environment & CMMC Management: Manage, govern, and maintain established secure IT enclaves compliant with Cybersecurity Maturity Model Certification (CMMC) and NIST 800-171 frameworks. Ensure ongoing compliance of endpoints, infrastructure, and a

About the Job Turn complex AI workload signals into faster, more efficient systems at data center scale. As a Senior AI Performance Engineer, you will analyze and optimize AI training and inference workloads across large-scale distributed systems. Your work will connect compute, memory, communication and software behavior. You will own complex performance investigations from problem definition through validation. You will turn profiling, benchmarking and modeling results into improvements engineers can build from. You will design benchmarks, investigate system bottlenecks and optimize distributed communication software across technologies such as MPI, NCCL, UCX and RDMA. Your work will help Graphcore deliver efficient, reliable AI systems for large-scale deployment. This role gives you rare scope across hardware, software, networking and system architecture. It is based in Austin, Texas. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work moves through evidence, ownership and clear technical judgment. You will define investigations, coordinate across teams and validate impact with reliable performance data. Decisions are shaped through benchmarks, models, simulations and practical engineering tradeoffs. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Strong experience profiling and optimizing AI, machine learning or high-performance computing workloads. · Experience with distributed systems and communication libraries such as MPI, NCCL, UCX or libfabric. · Strong C++ and Python skills, including reliable tools or performance-sensitive software. · Deep understanding of compute, memory and communication behavior in large-scale systems. · Ability to own complex technical work and coo