Senior Red Team Engineer Jobs

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

We seek a V&V Engineer with a strong background in validation to join the Interconnect validation team. This position will be part of the Product Engineering team that crafts and integrates software tests for NVIDIA networking products into the production lines. You will handle various projects across teams, complete new lab setups, review the HW design, build validation plans, implement automated tests, perform manual scenarios, and report bugs. Are you passionate about attention to detail and taking ownership of end-to-end validation for NVIDIA interconnect products? Join our team and bring your expertise to life! What you'll be doing: Collaborate with multi-functional teams across engineering, software development, and HW to identify test requirements Define and build setup topologies for appropriate product coverage Build a validation plan, complete, and integrate tests for the new interconnect products to address the business needs Debug SW & HW failures during the validation and take action to address it Report bugs found during validation, assist with reproduction, and debug to understand the root cause, and follow up to close it Deploy the product validation into the nightly automation tests and track during the daily meeting What we need to see: B.A./B.Sc. in Engineering Science or equivalent experience 5+ years of experience in validation and system engineering Hands-on experience with nightly runs and automated tests Strong problem-solving, quantitative, and debugging abilities Independent, responsible worker, able to plan and complete Excellent communication and presentation abilities Proficient in English, both written and spoken Experience in validation for both HW and SW applications Ways to stand out from the crowd: Background in HW vali

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Position Description: As a technical member of Micron’s ASIC Verification team, you will have a key role in development of advanced verification components for complex IP designs, while ensuring on time delivery with best-in-class quality. Typical tasks include: development of new simulation environments, execution of verification plans while interfacing with design teams, and debugging complex problems. You must be familiar with constrained random verification and functional coverage closure. Additionally, you will be a self-starter, possess excellent analytical and problem solving/debugging skills, and have excellent verbal and written communication skills. Responsibilities include, but not limited to: ASIC/FPGA design verification experience with UVM methodologies Developing UVM-based SystemVerilog test-benches. Defining block, sub-system level verification plans. Understanding and knowledge of verification methodologies, flows and quality metrics. Excellent problem-solving skills. This role is expected to utilize Micron-approved AI tools and AI-enabled workflows to improve engineering productivity Team player with great interpersonal communication skills. Minimum Qualifications: Strong leadership and communication skills, with the ability to convey complex technical concepts to other peers in verbal and written form Experience with python programming language A proven ability to achieve result

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Key Responsibilities Sales & Account Management Revenue Growth: Achieve or exceed annual sales targets and key performance indicators (KPIs) for assigned products across assigned territories in Hong Kong and Macau. Key Account Strategy: Build robust, territory-specific business plans to expand market share, introduce new product pipelines, and secure hospital formulary listings. Tender Management: Lead public tender preparation, contract negotiations, and contract compliance oversight alongside commercial operations teams. Relationship & Stakeholder Engagement Clinical Partnerships: Cultivate strategic relationships with key hospitals and clinics stakeholders Value-Based Selling: Deliver high-impact product presentations and clinical value propositions regarding fluid management and nut

Job Title Senior/Advanced Mechanical Engineer Job Description In this role, you have the opportunity to Play a critical role in the development of Medical System. The right candidate will have a unique opportunity to create innovative designs. Work with global experts at Best Netherland and Suzhou China on MRI product development for multi platforms. undefined Drive the development activities on MRI major components such as MRI RF receive coils and Patient table. Provide innovative solutions for better user experience and workflow. You are responsible for Lead the end-to-end mechanical design of MRI RF receive coils and Patient Table including concept design, industrial design solution evaluation, design transfer and post-market maintenance. Lead technical feasibility assessments and design discussions with cross-functional team members during the concept stage and provide technical design solutions. Own the detailed design delivery for mechanical components, design specifications, BOM, DFMEA, design review, verification & validation, etc. during PDLM execution. Lead trouble shooting and root cause analysis on issues from customer or production line, as well as design verification and product validation, ensure deliverables have no risk in quality, safety and reliability. Partner with technical leadership to ensure that the technical deliverables are consistent with the goals of programs, projects, or initiatives. You are a part of A progressive and energetic team that contributes directly to the growth of the business. You have a direct reporting line to the Director, Patient Environment Team. To succeed in this role, you should have the following skills and experience Bachelor’s degree or higher in Mechanical Engineering or rela

We anticipate the application window for this opening will close on - 23 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Therapy Development rep will drive adoption of new therapies growing sales and market share for assigned territory by training, educating, selling, and in-servicing new Vascular products. This individual will build business by aggressively developing new accounts and driving therapy adoption of PVH carotid and other new products and therapies as outlined by leadership at future dates. Practice good, ethical territory management in terms of organization, planning, administration and expense planning and control. Train medical staff on new products and procedures. Meet expectations as defined by Sales Management. This territory includes New Orleans and up to Covington and will require the candidate to reside with the assigned territory. Our Therapy Development Reps will have travel regularly between customer accounts and may often require additional evenings, weekends and travel to support business needs. A valid driver's license, active auto insurance, and a driving record that meets company standards are required. POSITION RESPONS

We anticipate the application window for this opening will close on - 19 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Surgical Operating Unit strives to enable earlier diagnosis, better treatment, faster complication-free recovery, and enhanced patient outcomes through less invasive surgical solutions across the care continuum. Be a part of a company that thinks differently to solve problems, make progress, and deliver meaningful innovations. We are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role. Primary Responsibilities The Senior Surgical Account Manager will be responsible for driving surgeon demand across the full Surgical COT portfolio, including Stapling, Energy, Suture, Electrosurgery, Situate, and Access & Instrumentation. This role focuses on developing and executing strategic sales plans, identifying practice trends, and cultivating key customer relationships to drive market growth and adoption. The ideal candidate will work closely with clinical and administrative stakeholders to expand business opportunities, execute business reviews, and contribute to regional and

Job Requisition ID # 26WD101684 Position Overview The Autodesk Enterprise Customer Success organization is looking for an accomplished, and enthusiastic individual to join our Consulting Services team as a Senior Implementation Consultant for construction in Japan. As a Senior Implementation Consultant, you will use your construction industry and technical knowledge to help our customers put design, engineering, and construction solutions into real-world. While we support hybrid work, you will need to travel to our customer site and required to come to office when required. You will report to a consulting manager and work directly with our customers to offer consulting services including process improvement and implementation strategies, software training, configuration, mentoring and technical guidance. Providing these services will ensure customers are maximizing the value from their investment in Autodesk technologies and ensuring the success of transformational changes to their business. You will also track the value of the solutions we deliver and the scale at which they are adopted. Responsibilities Work with Autodesk's customers to implement construction solutions related to document management, data management, field workflows and handover/ turnover Analysis, improvement and implementation of processes and workflows Lead consulting engagements with customers, and document the value delivered during those engagements Apply Autodesk product sets to detailed industry requirements and workflows Configure solutions based on product capabilities and customer requirements <

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. Come join the team and see how you can make a lasting impact on the world. Join our team in Santa Clara to lead engineers building rack-scale infrastructure software that makes complex hardware manageable and programmable. You will own delivery of control planes, lifecycle orchestration, system health, and recovery capabilities, working across hardware, firmware, networking, and operations teams to support customer deployments at rack and fleet scale. What you'll be doing: Take ownership for the delivery of rack-scale infrastructure software within a cross-functional organizational structure. Coordinate commitments, address ownership gaps, and stay accountable for results from requirements to production adoption and support. Translate business needs and evolving hardware roadmaps into release priorities and achievable plans. Balance staffing, dependencies, and technical risk across projects as priorities change. Partner with architects and technical leads on control planes, lifecycle orchestration, health analysis, and recovery. Guide engineering tradeoffs and ensure a consistently high standard for reliability, security, and maintainability. Build and develop the team through hiring, mentoring, and clear performance expectations. Grow technical leads and future managers, delegate impo

We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the intersection of distributed systems, developer platforms, and agentic AI — building the foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. What you will be doing: Build and develop platform services that manage the full agent lifecycle from registration through deployment, execution, and teardown Architect multi-tenant Kubernetes execution environments with pod lifecycle management, per-tenant namespace isolation, persistent storage, admission policy enforcement, and identity propagation Develop and maintain automated CI/CD pipelines using GitLab CI and ArgoCD, including reusable pipeline templates and deployment blueprints that standardize how agents are built across teams Build framework-agnostic infrastructure supporting multiple agent SDKs and harnesses — lifecycle hooks, skills configuration, memory services, and OTEL instrumentation — so teams can onboard new agent frameworks without platform changes Build and operate Kafka-based message pipelines and real-time event streaming using Redis PubSub and SSE Develop data ingestion pipelines, access interfaces, and storage layers that power AI agent knowledge and context Implement session management for state persistence, conversation history, and agent recovery across sessions Develop multi-layer auth using OAuth 2.0, JWT validation, token exchange, and gateway integration, and manage secrets lifecycle with Vault (provisioning, rotation, container injection) Partner with security teams on compliance, access controls, and approval workflows for agent operations What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, or

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 an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is searching for a creative, highly motivated and independent engineer with expertise in system software with security background to join the SOC System Software organization. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting SOC based product lines ranging from autonomous vehicles, robotics, consumer graphics, and edge AI. What You’ll Be Doing: Lead all HDCP (High-bandwidth Digital Content Protection) activities across SoC-based projects, leading the feature roadmap, protocol implementation, compliance certification, and delivery across chips, platforms, and products. Develop and maintain secure-engine firmware on a RISC-V based secure processor. Deliver end to end HDCP solution across multiple software stacks spanning Linux, Android for automotive, and consumer platforms. Drive firmware production signing readiness, rollback-prevention strategies, and key-provisioning workflows. Serve as the security primary contact for the team, leading all aspects of threat modeling, static analysis, vulnerability tracking and remediation, and security compliance across all projects. Collaborate with multi-functional teams spanning HW design, boo

Production engineering is a field that involves crafting, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Professionals in the role of Production Engineers hold specialized knowledge and expertise across various domains, including storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, prioritization, continuous delivery and deployment, along with open-source cloud-enabling technologies such as Kubernetes, containers, and virtualization. Their responsibilities include ensuring storage architectures are reliable, scalable, and efficient. They optimize data placement and access patterns. They manage large-scale distributed storage systems and ensure low-latency data access for HPC and AI/ML workloads. Storage Production Engineers at NVIDIA ensure that our internal and external-facing GPU cloud services meet reliability and uptime goals as promised to the users while enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance. This role also requires a mindset focused on automating storage operations, improving data access efficiency, and optimizing storage performance. Much of our software development focuses on optimizing operations through automation, enhancing system responsiveness, and improving the efficiency of storage and production systems. Since Production Engineers are responsible for the big picture of how our systems interface with each other, we use a breadth of tools and approaches to tackle a broad spectrum of challenges. Practices such as proactive storage performance monitoring, automated fault detection and remediation, scalable data redundancy methods, and integration of intelligent

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. Come join the team and see how you can make a lasting impact on the world. NVIDIA BioNeMo is building the computational foundation for the next generation of biological discovery. We are looking for a Senior Software Engineer to join our MD Simulation Engineering team, whose mission is to enable biological simulation engines at scale. This team builds the GPU-native simulation software that powers molecular dynamics at scale. We work at the intersection of GPU computing and computational biology — delivering high-performance math primitives that simulation software depends on to fully exploit NVIDIA hardware across GPU generations. The work spans kernel engineering, software architecture, and direct collaboration with the MD simulation ecosystem. If you want to define how scientific simulation is accelerated on modern hardware and see your work in the hands of researchers worldwide, this is the role. What You Will Be Doing: Build, implement, and optimize CUDA kernels for core MD simulation primitives Be responsible for the end-to-end delivery of GPU-accelerated simulation math to external partners and the broader MD ecosystem Integrate simulation primitives into major MD engines Drive CI/CD infrastructure for multi-SKU kernel builds, automated performance re

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C&#43;&#43; programming skills, detailed knowledge of graphics concepts and algorithms, a proven foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. Join us! What you'll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. This job will require an understanding of our hardware and software architectures. What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience Strong C/C&#43;&#43; or Python programming skills Familiarity with computer architecture, and ability to work close to the hardware 5&#43; years of relevant experience Background with PCIe, NVLink or server product technologies like InfiniBand, Ethernet is a plus Previous experience of working on a large system software code

As a Robotics Software Engineer on the Isaac Applications Team, you will bring together the software and hardware that enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents. These workflows connect data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We’re looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities. What you will be doing: Lead the forefront of Physical AI progress in both simulated and real humanoid robots by building the humanoid reference platform that features NVIDIA's robotics technologies. Build end-to-end workflows to develop, evaluate, and deploy increasingly autonomous and interactive robot capabilities. Extend our platform to new robot embodiments and demonstrate its adaptability through hands-on integration and validation. Address real-world compute, latency, and bandwidth constraints on physical hardware. Collaborate across teams in Shanghai, America, and Europe to connect capabilities and deliver reliable robotic systems. What we need to see: Master’s degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience). 8&#43; years of relevant industry experience working on robotics software. Hands-on experience integrating, deploying, and testing software on physical robots, and confidence working directly with hardware when needed. Experience deploying and evaluating learned policies to control physical robots. Broad working knowledge of robotics software, hardware, AI, an