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Senior Product Engineer At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a “take tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, React frontend, Node.js and Python backend, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surfaces end-to-end from ideation to production and beyond Drive product direction in partnership with design and product leaders Build and evolve systems across React, Node.js, and Python that scale with customer growth Leverage modern AI tooling to dramatically accelerate development, prototyping, and iteration cycles Raise the bar for engineering quality - code, architecture, and user experience Lead by example - through hands-on development, technical mentorship, and thoughtful decision-making Move fast on ambiguous problems, turning ideas into shipped, customer-facing value What we’re looking for 3+ years of experience in software engineering Education: B.S. in Computer Science or an equivalent technical field Proven experience operating at a senior-level scope. You’ve led large, ambiguous initiatives with significant business impact Strong full-stack expertise (React + backend systems such as Node.js and/or Python) A deep sense of ownership - you don’t wait for direction; you create it Exceptional product taste - you care deeply about UX, details, and building thin

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: We are looking for a seasoned, hardworking, smart and over achieving Senior Solutions Engineer with proven experience and a passion for selling technology solutions to senior executives. You will be responsible for selling into new prospects as well as farming back into existing customers to ensure high renewal and customer satisfaction levels. Measures of success include new custo

Software and Engineering Graduate Roles - HP Solutions (HPS) Description - T he following posting is a pipeline requisition, meant to accumulate candidates for 2026 & 2027 . Qualified applicants will be contacted in concert with the approval and publication of identical, approved positions within HP, Inc . HP occasionally offers work authorization sponsorship for critical need roles. However, this opportunity currently does not offer work authorization sponsorship and HP will not provide any assistance or sign documentation in support of immigration sponsorship including Optional Practical Training (OPT). About Us Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. The Program: Our future success depends on the innovation and fresh ideas you bring to HP, Inc. We are hiring students and new graduates with a diverse set of skills and experiences to join us, across the different organizations that make us HP, Inc. Our new grad program is intended to help you learn and grow at HP, give you an opportunity to make an impact, and work with leading edge technology. A

Senior Systems Engineer - Product Owner Company: The Boeing Company The Boeing Company is looking for a Senior Systems Engineer - Product Owner to join our Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO . This dynamic team contributes to cutting-edge vehicle health management solutions that enhance mission readiness and operational efficiency across multiple high-profile aerospace platforms. The role offers a unique opportunity to lead efforts in lab testing, requirements development, and advanced Model-Based Systems Engineering (MBSE) practices. By driving system integration, testing, and verification, the Senior Systems Engineer will ensure seamless performance and adherence to stringent customer standards while collaborating with a diverse group of talented software developers, test engineers, and external partners. This position is ideal for professionals passionate about innovative aerospace technologies and solving complex engineering challenges in a fast-paced, mission-critical environment Position Responsibilities: Develop and maintain product roadmaps and system lifecycle plans Develop, document, and verify requirements Develop project schedules and track performance Develop and organize work items for the software team Be responsible for the integration of the components of the GVHMS system to successfully meet customer requirements Coordinate with the customer on a regular basis Document team plans and status, develop meeting agendas and presentations Analyze process compliance and actively work on improvements This position is expected to be 100% onsite. The sel

Work Flexibility: Hybrid What you will do: Work with product development team and help them with requirements management and system engineering. Assist in the deployment of tools such as JAMA etc. Work closely as administrator with functional leaders, organizational units, and subject matter experts on use case for projects and their processes. Train people, execute day-to-day configuration, support, maintenance and improvement of the tools, qualification of the tools and associated processes. Perform and own tasks including, but not limited to: User account maintenance, create filters and custom reports or dashboards for each project, as needed. Write script/ software to customize workflows and create configurations. Manage release cycles and validate the software tools and upgrade, backup, and baseline the project folders within each software tool. What you need: Required Qualifications: Bachelor’s degree in computer science, Computer Engineering or related field is preferred 2 – 7 years of experience Understanding of engineering lifecycle phases and design control processes and knowledge of Requirement Management and Test Management, Traceability. Experience with software and hardware defect tracking process and develop software using Python or any other scripting language & ability to understand and interpret electrical design and systems. Preferred Qualifications: Knowledge of JAMA workflows or similar tools like JI

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.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform & node designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each bringing together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We're searching for a highly motivated, technical leader to drive the engineering roadmap and innovation for our rack system software architecture. From firmware, kernel drivers, operating systems, networking, fabrics and associated user mode drivers + manageability software. You will work with component leads internally and engage with industry leading hyperscalar / cloud service providers on taking these products to market. What you’ll be doing: Drive the software end-to-end architecture for NVIDIA's rack-scale products Maintain deep understanding of the product portfolio and roadmap; translate forward-looking plans into clear, formal software requirements that anchor execution across the organization. Ensure high quality & reliable software; serving as a trusted architectural partner to teams requiring

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

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you! What you'll do Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm Implement and scale data pipelines, new features, and algorithms that are essential to our production models Collaborate with the engineering, credit, and product teams to define requirements for new products What we look for 2+ years of experience as a machine learning engineer or PhD in a relevant field Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus Strong engineering skills in Python and data manipulation skills like SQL Experience using large scale distributed systems like Spark or Ray Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow Experience developing machine learning models at scale from inception to business impact Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams The ability to

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. Role Overview The Staff Tech Warehouse team is responsible for maintaining the IT working environment and delivering a world-class experience across our fulfilment and manufacturing centres worldwide. You will be the face of IT, providing excellent customer service and ensuring that every employee can perform their role as efficiently as possible. We are currently looking to hire an IT Support Engineer in Magnice, Poland. Requirements Provide strong customer service to internal IT teams, business partners, and employees, working closely with the Server and Networking teams. Keep asset and change management systems up to date at all times. Maintain and manage Android Mobile Device Management (MDM) solutions. Enrol and manage Windows and macOS devices through Microsoft Intune. Play a key role in developing corporate standards for desktop computer software and hardware, conducting reviews to ensure compliance. Successfully deploy and upgrade hardware across warehouse sites. Maintain the estate of printing devices, including thermal and laser printers. Perform computer management and system administration activities. Support the upkeep of pack stations to ensure smooth operations. Proactively manage open incidents, working with technical support teams to achieve the fastest resolution in line with incident SLAs. Support Microsoft Office products, Windows 11, macOS, desktops, laptops, multifunction printers, and basic LAN/WAN connectivity. Communicate daily service status across the business line. Manage a

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Security Incident Response Engineer to join our Incident Response team. You will help redefine how incidents are handled at scale, pairing autonomous AI agents with human judgment so that we can detect, investigate, and contain threats faster across a rapidly growing cloud and AI footprint. AS A SECURITY INCIDENT RESPONSE ENGINEER AT SNOWFLAKE, YOU WILL: Join a high-impact team of security experts to scale security at one of the fastest-growing software companies ever Spearhead an agentic approach to Incident Response by deploying, guiding, and refining autonomous AI agents that execute initial triage, context gathering, and rapid investigation alongside human Incident Commanders Handle escalations, lead security investigations, and act as Incident Commander for critical incidents Build scripts, automation pipelines, and agentic workflows that continuously enhance Snowflake's incident response capabilities Partner closely with our Threat Detection, Automation, Product Security, Legal, HR, Cloud, and Data teams Create and improve detections, threat signatures, and guardrails for both traditional and AI-driven attack vectors Participate in a periodic on-call rotation, which may involve non-traditional working hours OUR IDEAL SECURITY INCIDENT RESPONSE ENGINEER

About the Role As a Hardware Security Engineer, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities Design, prototype, and implement security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, including BMCs, TPMs, secure boot chains, networking interfaces, and workload identity systems. Assess and improve the security posture of server and accelerator platforms, including firmware update processes, device identity, trusted execution, and hardware-backed cryptography. Support the secure platform lifecycle, from device onboarding, provisioning, and inventory through configuration validation and decommissioning. Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, and support incident investigation. Build AI-assisted security applications for asset classification, anomaly detection, and detection-and-response workflows. Partner with IT and infrastructure teams to implement and enforce identity, access-control, endpoint, and privileged-access security practices. Research and evaluate emerging technologies such as confidential computing, remote attestation, hardware roots of trust, and secure device management. Write clean, well-documented code, technical designs, test plans, and security findings. Requirements Actively pursuing a degree in Electrical Engineering, Computer Science, Software Engineering, or a related field expected by Summer 2027 Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics Strong programming skills

About the Role As a Hardware Security Engineer Intern, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities Help design, prototype, and assess security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, working with components like BMCs, TPMs, secure boot chains, and device and workload identity systems. Support secure platform lifecycle work such as device onboarding, provisioning, inventory, and configuration validation. Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, or support incident investigations. Prototype AI-assisted security tools for tasks like asset classification, anomaly detection, or detection-and-response workflows. Research an emerging area such as confidential computing, remote attestation, or hardware roots of trust, and share your findings with the team. Own a well-scoped project from start to finish with mentorship from experienced engineers, delivering clean, well-documented code and presenting your results at the end of the internship. Requirements Bachelor’s degree (or equivalent) in Electrical Engineering, Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028 Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics Strong programming skills with a proficiency in Python or bash Exposure to building AI-assisted applications Preferred Qualifications Prior security engineering experience through internships, hackathons, or projects Coursework, projects, resea

We are hiring a Senior AI Engineer to build and operate production AI systems and infrastructure. In this role, you will work on AI agents, MCP servers, agent evaluation, and Temporal-based workflow frameworks. This is a hands-on engineering role for someone who can move between backend systems, AI application development, deployment, and production support. You will help build reliable services and frameworks that make AI agents usable, measurable, and dependable in production. What you’ll be doing: Build and deploy AI agents that use tools, call services, manage context, and execute multi-step tasks. Develop and maintain MCP servers and tool integrations used by internal AI systems. Build workflow infrastructure using Temporal or similar orchestration frameworks. Design and implement agent evaluation flows, test suites, quality metrics, and feedback loops. Design backend services, APIs, persistence layers, and platform components for AI applications. Work with SQL and NoSQL databases, queues, distributed systems, and cloud-native infrastructure. Build CI/CD pipelines, Docker images, Kubernetes deployments, monitoring, and operational tooling. Debug production issues across services, workflows, agents, tools, models, and infrastructure. Collaborate with engineering, product, infrastructure, and data science teams to turn requirements into reliable systems. What we need to see: 5+ years of experience and a practical understanding of how AI agents are built, including tool use, state, context, and multi-step execution. Bachelors degree or equivalent experience. Experience with at least one open-source agent or LLM application framework, such as LangChain/LangGraph. Strong software engineering background, especially in backend development. Experience with distributed systems, workflow orchestration, and prod

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