Senior Strategic Solutions Architect Jobs

NVIDIA's Digital Marketing Operations team is seeking a Senior Data Engineer to help build the shared data infrastructure that powers customer engagement, campaign intelligence, and marketing analytics at scale. Our data platform transforms customer behavioral signals, audience definitions, consent records, campaign metadata, and activation outputs into trusted, governed data products for marketing, analytics, personalization, campaign operations, and regional teams worldwide. These products enable audience segmentation, campaign performance measurement, privacy-compliant data activation, identity resolution, and the continued growth of NVIDIA's marketing technology ecosystem. We would love for you to apply today! What You'll Be Doing: Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams. Shape its architecture and interfaces while anticipating needs related to scale, reliability, performance, privacy compliance, security, cost, and compatibility. Lead complex, cross-functional initiatives. Collaborate across engineering, marketing, and operations stakeholders to translate requirements into clear data architectures, write high-quality code in the critical path, and drive integrations safely into production. Architect, implement, and evolve batch and streaming pipelines that ingest, transform, reconcile, and serve customer behavioral, audience, campaign, consent, and activation data at scale. Build reliable, maintainable systems leveraging distributed processing frameworks, workflow orchestration tools, cloud data warehouses, object storage, and pub/sub messaging platforms. Build and evolve shared data quality frameworks and engineering standards that improve pipeline reliability, consistency, and efficiency across teams. Lead production incident investigations across pipelines, distributed processing, storage, an

NVIDIA is looking for an outstanding passionate and talented Senior SW & System Architect to join our SW Architecture group. The position includes researching new technologies with focus on architecture definition of groundbreaking technologies in different domains - networking, security, virtualization and orchestration. NVIDIA Architecture group consists of world-class architects responsible for designing the next generation state-of-the-art architecture for our DPUs & NICs technologies. You will play a key role defining the future of cloud solution stack, from HW to Application level, including orchestration, provisioning, network programmability and SDN. You will be working with various teams around the world including SW architects, R&D, product, solution architects and external customers. This position offers a unique and exceptional opportunity to have real impact in a dynamic, technology-focused company shaping the future of data-centers technologies. What you will be doing: Lead architecture for cloud-networking including orchestration, provisioning and security solutions Design state-of-the-art system architecture for DPUs & NICs technologies Build end-to-end solutions from application level to HW Responsible for writing effective, clear and reliable architecture specification Evaluate new technologies and innovate & rapidly develop POC prototypes that can then be developed into full-fledged products/solutions Work closely with different NVIDIA teams around the world including sw & hw architects, R&D, product, solution architects, application and field engineers and more Work with high profile customers on advanced and future technologies and solutions What we need to see: B.Sc/M.Sc/Phd degree in Computer Scie

NVIDIA is hiring senior engineers to develop its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and NumPy code. Our goal is to deliver a polished, fast, modular and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To achieve this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world! What you will be doing: Play meaningful role in NVIDIA's effort in contributing to JAX. Design and implement JAX core components and drive peak performance on NVIDIA products. Work with AI applied researchers and leaders to build future-proof models Build tools that will increase the efficiency of teams developing AI-based systems. Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products. What we need to see: BS in Computer Science or Computer Engineering or related field (or equivalent experience). 6+ years relevant experience. C/C++ and Python programming. Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.). Proven ability developing customer-facing solutions, balancing feature requests and bugs. Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design. Highly motivated with excellent ver

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: The Medicaid Enrollment Business Information Management (BIM) team is seeking a highly skilled technical professional to lead the development, maintenance, and optimization of data and reporting solutions. The successful candidate will bring intermediate to advanced SQL expertise and the demonstrated ability to independently build and administer databases, manage high-volume enrollment data, and perform complex data validation, extraction, transformation, and troubleshooting. Strong proficiency in Power BI and Quickbase is preferred, supported by a solid command of relational data structures, quality assurance, testing, audit controls, and process improvement. This role demands a solutions-oriented professional who can convert complex Medicaid business requirements into scalable, accurate, and sustainable technical solutions; proactively identify and resolve data-quality risks; and deliver clear, actionable insights to business stakeholders. A Day in the Life: As a member of the Medicaid Enrollment Business Information Management team, you will spend your day transforming complex enrollment data into accurate reporting and actionable insights. You will write and troubleshoot advanced SQL queries, build and maintain databases, validate high-volume data, and extract or transform information for reporting solutions. You will investigate data-quality issues, support testi

Job Details: Job Description: Position Overview As a Platform Hardware Design Engineer, you will provide technical leadership for the architecture, design, integration, bring-up, and validation of complex platform hardware. You will drive hardware development end-to-end, translating high level system requirements into detailed circuit and component specifications and leading designs from architecture and schematic development through PCB implementation, board power-on, debugging, validation, and delivery. You will be expected to make platform level technical decisions, resolve complex and ambiguous multidisciplinary problems, lead critical design reviews, drive cross-functional alignment, mentor engineers, and influence hardware development practices across projects. Our Business Group You will be joining the Silicon and Platform Engineering Group (SPE), an organization at Intel committed to advancing Intel's mission of delivering world-class silicon and platform solutions. The group focuses on developing integrated systems that align with customer needs and support Intel's broader goals of leadership in technology innovation. SPE collaborates across diverse domains to ensure Intel platforms meet performance, reliability, and scalability requirements. Our work sits at the intersection of silicon, board hardware, firmware, validation, signal and power integrity, mechanical and thermal engineering, PCB technology, manufacturing, and system integration. Our senior hardware engineers have a broader responsibility than executing an individual design. They help establish platform architecture, guide implementation, identify and qualify appropriate hardware solutions, provide technical leadership during board power-on and debug, and lead resolution of schematic, layout, SI/PI, and hardware issues. Key Responsibilities Platform Architecture and End-to-End Technical Ownership

Work Flexibility: Onsite This is a fixed term contract (inc full benefits) that will run until 31st August 2028. Position Summary: The Senior Engineer, Quality Assurance will establish, improve and maintain the quality system by providing quality engineering support within operations and other business functions. Advocate and lead the execution of initiatives & projects to enhance quality performance within the business. Ensure to deliver high quality products that meet customer needs. Ensure compliance with regulations and standards. Essential Duties & Responsibilities: •Work closely with operations and the business functions to ensure quality performance of product and processes •Collaborate cross-functionally with internal and external teams to resolve quality issues •Manages internal and supplier-driven Non-Conformances (NCs), ensuring timely investigation and closure •Owns Corrective and Preventive Actions (CAPAs) through root cause analysis to closure •Disposition of non-conforming product through MRB, issuing NCs as appropriate •Initiates and leads in the development and improvement of the manufacturing processes for existing and new products. •Review and approval of change management activities, challenges change effectiveness and drives strong review. •Interpret KPI trends, act as necessary, driving a continuous improvement process. •Support the execution and analysis of manufacturing complaints and product field actions •Provide QA support during internal and external audits •Advocate of Human Factor practices, proficient in the science of Human Factor identification and mitigation. •Proficient in risk management practices and concepts and applies knowledge to manufacturing operations and identify opportunities and weaknesses •Lead and participate

We anticipate the application window for this opening will close on - 30 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 To grow sales and market share for an assigned territory by promoting, selling and servicing Superficial Venous Intervention (SVI) products. Build business by aggressively developing new accounts and driving therapy adoption of VenaSeal and Closure System product portfolio across the continuum of care for Venous Disease. Practice good, ethical territory management in terms of organization, planning, administration, and expense planning and control. Train medical staff on products and procedures. Meet expectations as defined by Sales Management. A DAY IN THE LIFE: POSITION RESPONSIBILITIES: Planning/Results Orientation: Consistently meet and exceed AOP, sales budget and account development targets (QoQ and YoY) Develops and executes accurate and on-going sales plan to achieve sales objectives Sales prospecting to include General/Vascular Surgeons, Interventional Radiologists, Inter

We anticipate the application window for this opening will close on - 28 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 Medtronic Neuromodulation has pioneered life-changing therapies for 50 years, helping patients with movement disorders and chronic pain. From spinal cord stimulation and deep brain stimulation to implantable drug delivery systems, we continue to advance technologies that restore patient freedom. Our vision is to become the undisputed world leader in Neuromodulation, improving patient lives through innovative solutions. The Senior Materials R&D Engineer will provide materials expertise within the Galway Interventional R&D team, with technical ownership of the bone cement materials portfolio. Collaborating with global colleagues, suppliers and partners to develop and optimise medical device materials and processes. The role spans early investigation through verification, validation and commercialisation, alongside support for existing products. You will guide materials selection, characterisation and testing, resolve complex technical challenges and mentor colleagues to deliver safe, reliable products that support our vision. Expertise in bone cement formulation, processing and performance evaluation would be an advantage. Come for a job, stay for a career! Within Medtronic’s Neuromodulation R&D organisation, you will work with teams developing and testing products for the Pain Interventions

We anticipate the application window for this opening will close on - 22 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&#43; 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 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. As one of three comprehensive portfolios at Medtronic, Neuroscience is dedicated to improving the lives of people living with neurological disorders, spine conditions, and chronic pain. Guided by our Mission—to alleviate pain, restore health, and extend life—we develop technologies and therapies that help people regain function, reduce pain, and return to the activities that matter most. Our Pelvic Health Operating Unit advances care for patients living with bladder and bowel control conditions through targeted, minimally invasive neuromodulation therapies, including sacral and tibial solutions. Designed to modulate nerve pathways and restore communication between the brain and pelvic floor, these programmable therapies deliver personalized treatment supported by strong clinical evidence and long-term outcomes—helping improve confidence, independence, and quality of life. Check us out on LinkedIn: <a href="https://www.l

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. What you’ll be doing: Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI), all using Cadence PCB design tools. Focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/trace integrity. You will be responsible for the design releases required generation of artwork files, ODB&#43;&#43;, and electronic PCB documentation. Your designs will need to follow SI constraints, EMI/RFI control and FCC, UL and European regulations, IPC specifications and NRC regulations. What we need to see: B.Sc. in Electronic Engineer degree or equivalent experience. 5&#43; years of experience in high-speed design. Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role. Be an authority in using Cadence Allegro PCB design tools. Have a deep understanding of High-Density Interconnect PCB layout and PCB Signal Integrity. Knowledge in PCB ma

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what's possible. What you’ll be doing: Investigating the latest and future NVIDIA GPU hardware architecture and programming models. Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization. Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware. Engaging in a dynamic, iterative process of optimization—sometimes starting with the kernel, sometimes with the compiler—to find the most efficient path to peak performance. Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, t

NVIDIA is seeking a senior systems software engineer to help engineering teams run demanding build, simulation, and validation workloads efficiently and reliably. Our Workload Systems Engineering team connects customer workflows with the infrastructure that performs them. We develop self-service mechanisms and clear diagnostics, investigate performance and reliability across system boundaries, and deliver measured infrastructure improvements with the teams that own the underlying components. Your responsibilities include enabling application configuration, remote execution, workers, hosts, GPU and CPU resources, storage, data paths, and on-target systems. The position requires direct system evaluation: diagnosing causes of slow or failing workloads, trying alternatives in representative scenarios, applying improvements with others, and verifying customer advantages. What you'll be doing: Build shared self-service and validation mechanisms that let engineering teams configure and use supported infrastructure workflows with less manual assistance. Give customers and on-call teams useful diagnostic views across application, submission, remote-execution, and host or target layers so they can identify where failures and slowdowns originate. Set performance and reliability benchmarks for representative workloads. Apply profiling, metrics, traces, and controlled experiments to pinpoint the changes that make a difference. Evaluate and improve compute and GPU selection, scheduling and placement, concurrency, worker and runner configuration, resource sharing, caching, and input/output paths. Make retry causes, recovery outcomes, and wasted execution capacity visible. Work with component owners to eliminate recurring failures and unnecessary re-execution. Implement and validate infrastructure-level changes with application, build and CI, remote-execution, and infrastructure teams. Measure

Join us at the forefront of AI compiler technology and help shape the future of accelerated computing. NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing Thunder , an ambitious, source-to-source compiler built to unlock outstanding performance for PyTorch models on NVIDIA GPUs. This is a unique opportunity to contribute to a project that enhances the PyTorch ecosystem, working with modern compiler stacks like PyTorch 2.0's TorchDynamo and TorchInductor to create powerful, open-source solutions that benefit the entire community. If you are driven to solve complex problems and want to make a foundational impact on the AI ecosystem, apply to join our collaborative and innovative team. What you'll be doing: As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community. What we need to see: We are look

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. We are looking for a Senior GPU Networking Architect to join our networking software group, bringing strong GPU architecture and programming skills to build and improve GPU communication kernels. This role links GPU computing with networking by making sure communication primitives are carefully developed alongside GPU hardware capabilities. Join our team of engineers developing the software foundation for the largest AI systems globally. What you will be doing: Build, implement, and optimize GPU communication kernels that underpin collective and point-to-point operations in large-scale AI systems. Leverage deep knowledge of GPU architecture—thread scheduling, memory hierarchy, execution pipelines—to improve kernel efficiency, minimize latency, and overlap computation with communication. Develop GPU-resident communication primitives and device-side APIs that enable fine-grained, kernel-initiated data movement across nodes and accelerators. Profile and tune GPU kernels end-to-end, identifying bottlenecks at the intersection of compute, memory, and network, and driving targeted optimizations. Collaborate with network software, hardware, and AI framework teams to co-design commun

NVIDIA seeks an exceptional Network Engineer to join the Vertical Verification Group. As a senior engineer, you will contribute to the Vertical Verification work, concentrating on validating and improving complex Ethernet and InfiniBand systems within NVIDIA’s Data Center and HPC environments. You will play a key role in testing advanced networking features, building complex customer-like topologies, and ensuring NVIDIA products meet industry-leading benchmarks of performance, efficiency, and quality. You will collaborate closely with architects, software engineers, and hardware teams across NIC, HCA, switches, CPUs, and GPUs in a fast-paced and highly technical environment. This is an outstanding opportunity to join a highly skilled team and contribute significantly to groundbreaking technology! What you’ll be doing: Review architecture, build, and requirements for new networking features across Ethernet and InfiniBand portfolios Compose and build complex testbed topologies that emulate customer environments Implement, run and optimize integration test plans including functional, regression, and performance testing Identify, reproduce, and debug issues; work closely with R&D to drive root cause analysis and resolution Collaborate with automation teams Analyze and optimize network performance, latency, and efficiency Provide clear status updates, reports, and insights on system quality and performance What we need to see: B.Sc. in Computer Science, Electrical Engineering, or related field (or equivalent experience) 8&#43; years of experience in networking, system validation, or related engineering roles Strong hands-on experience with Linux-based systems Deep understanding of networking protocols (TCP/IP, UDP, Ethernet, VLANs, L2/L3) Experience with routing, switching, and modern data center network architectures<