Senior Manager Wpd Jobs

We are seeking a talented and passionate Senior Developer to join our Operations Workbench Scrum team. You will be a key contributor to the development of our new, cutting-edge Operations Workbench platform. You will apply your deep technical expertise to build and implement robust solutions, while promoting engineering best practices. This role is for an experienced developer who is passionate about hands-on implementation and collaboration. You will be a core member of the team, delivering high-quality, scalable solutions to enhance operational efficiency. Why Join Our Team? Drive Global Impact: Be part of a team building a mission-critical system that will streamline and automate key operational workflows across the firm, directly impacting business efficiency. Solve Complex Challenges: Design and build a scalable, resilient, and cloud-native architecture for a complex workflow and case management system. Work with a Talented Team: Collaborate with a skilled team of developers, product owners, and architects, fostering a culture of engineering excellence and innovation. Work with Modern Technology: Utilize a modern tech stack, including Java, Kubernetes, Docker, and Kafka, to build cutting-edge financial technology solutions. Key Responsibilities · Software Development: Design, develop, test, and deploy high-quality, scalable, and maintainable code. · Quality Advocacy: Promote best practices for engineering excellence in coding, testing, build, deployment, and the maintenance of high-quality software. · Solution Implementation: Act as an active contributor to design and a hands-on implementer of code. · Agile Mindset: Actively participate in scrum activities such as sprint planning and refineme

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description The Senior Director, Applied AI Solutions, leads the applied AI function within the AI Research Center (ARC), part of Gilead’s Clinical Data Science (CDS) organization in Drug Development. As CDS’s center of excellence for applied AI, this leader is accountable for the technical and product path from a prioritized AI use case defined by CDS functional organizations to a trusted, reusable capability in production — spanning discovery, experimentation, technical validation, first production release, adoption support, and measured value. The ownership model is deliberate. Business ownership of priorities, requirements, funding, process change, and workflow outcomes remains with the CDS and Develo

Job Title Senior/Staff Software Engineer with C++ - Drivers, Diagnostic, & Embedded Software (San Diego, CA) Job Description Senior/Staff Software Engineer with C++ - Drivers, Diagnostic, & Embedded Software (San Diego, CA) You have the opportunity to work on the development of Intravascular Ultrasound Systems. As a member of a cross-functional team, you will work closely together with electrical engineers, transducer engineers, software engineers, system engineers, and ultrasound engineers. Your role: Being a key contributor to the development of medical capital equipment Architect, design, and develop driver, diagnostic, and embedded software for intravascular ultrasound systems. Interfacing with multi-disciplinary teams consisting of marketing, hardware, software, catheter design, and manufacturing to refine design requirements for next generation intravascular ultrasound devices. Create software requirement specifications, software architecture documents, and detailed software design documents. Design, develop, and debug driver software and embedded software to implement communication between hardware and application software using C++. You're the right fit if: You have 8 + years of experience in software/embedded software development, preferably in the field of medical electronics. You are experienced with object-oriented programming languages design, and coding. Strong C++ and experience in a Windows environment are required. You earned a BS or MS in Computer Science, Electrical Engineering, Biomedical Engineering, or related field. You’ve gained industry experience creating detailed design documentation (specifications, design descriptions, verification and testing plans). Having knowledge of digital signal and

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

We are looking for a passionate and energized engineer to accelerate the integration of APIs across the CUDA-X math library software stack into modern LLM and agentic AI workflows. Leading organizations globally are using GPU-powered data centers for AI, data analytics, and scientific simulations, driving advancements in fields like LLMs, computer vision, CAE, EDA, and autonomous vehicles. Our team develops the GPU-accelerated libraries and SDKs essential for these technologies. In this role, you will be responsible for ensuring both human engineers using LLMs and AI agents alike to build high-performance applications with ease through effective utilization of CUDA-X libraries. Do you have the rare blend of technical, developer experience and communication skills? If so, we would love to learn more about you! What You'll Be Doing: Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases. Build metrics, tools and processes to measure impact and quality of LLM/agentic code generation. Prototype tooling and solutions to help transform math libraries’ APIs into LLM-friendly representations across popular codegen tools. What We Need To See: PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience) 3+ years of experience Robust knowledge of LLMs, finetuning, RL, building RAGs, MCP, and building agenting tooling Proven experience designing clear, composable APIs and writing high-quality, well-documented code for complex technical domains Ability

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are continually innovating to deliver new and creative, unusual solutions to extraordinary problems in a wide range of sectors. To this purpose, we are now seeking a hard-working Senior Package Layout Engineer who is committed to making a difference in the world through their contributions! This position will collaborate with Technical Package Lead and different design teams in the design and development of sophisticated, detailed layout of IC substrates for NVIDIA products. In addition, work with design teams to plan schedules, resolve costs, manufacturing, and electrical design issues. What you'll be doing: As part of a Layout team, you will collaborate to implement high speed/density ASIC packages. Perform substrate breakout patterns for ASIC packages. Optimize package pinout incorporating system level trade-offs of pins assignment. Help perform package routing, placement, stack-up, reference plane and power distribution using Cadence APD or SiP tool suite. Propose layout design trade-offs to the Technical Package Lead for resolution and implementation. Conduct design feasibility studies to evaluate the Package design goals for size, cost, and system performance. Develop symbols and CAD library databases using Cadence APD design tools Develop methodologies to improve layout productivity What we need to see: Hold a B.S. Electrical Engineering or equivalent experience 5+ years experience in PCB Layout of graphics cards, motherboards, line cards or other related technology. Experience with HDI designs is a plus Proven experience in substrate layout of wire bond and flip chip packages, preferred Significant background with Cadence AP

NVIDIA DGXC Storage team handles some of the fastest training and inference tasks. Every GPU cycle depends on a storage platform built to keep tens of thousands of accelerators continuously busy. It maintains exabytes of data securely and powers the largest AI workloads worldwide across cloud, neocloud, and on-prem setups. With the growth of accelerated computing, storage is essential. It can make the difference between effective GPU use and wasted potential, and between launching a frontier model on time or missing the deadline by months. We’re looking for a hands-on Storage Software Engineer to join the storage team as an individual contributor and technical lead. You will contribute to open-source parallel and distributed file systems and keep our largest GPU clusters fast, reliable, and durable. You will stay deeply hands-on: writing and reviewing production code, chasing root causes in the field, and setting the configuration and tuning standards our GPU fleets run on. This is a chance to do foundational storage engineering for the AI era at the company that introduced accelerated computing. What you’ll be doing: Contribute to open-source file systems. Contribute code to open-source parallel and distributed file systems, and distributed object storage. Upstream fixes and features, and engage directly with the upstream communities and maintainers. Serve as a hands-on storage software lead. Write and review production code yourself, and read kernel, NFS, NVMe-oF, or SPDK source when a bug requires it. Make the final technical calls on storage deliveries against measurable targets. Triage and troubleshoot at scale. Triage, troubleshoot, and root-cause large, complex storage issues across very large GPU clusters (tens of thousands of GPUs) — I/O and metadata performance, data corruption, and recovery. Validate architecture and capabilities. Validate storage architecture, capabilities, performance, and durabil

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. Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Senior/ Staff NAND Design Rule Engineer in Process Integration (Storage Technology Group), your primary role is to drive and contribute to next generation 3D NAND development efforts. You will be working with several peer groups to define, execute, and coordinate effective actions to enable multiple projects to hit key achievements and timelines Responsibilities include but are not limited to the following: Define physical design rules for current and future Non-Volatile Memory (NVM) technologies from conception to full production ramp. Interact with process integration team to keep all technology developments up to date, to ensure DR's are accurate. Interact with design teams to eval

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — 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 to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. Using simulation and emulation to left-shift early design and initiate new concepts and innovations. Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and proc

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. Primary Responsibilities: Assists in the development and preparation of annual budgets, forecasts, and long-term financial plans by collaborating with stakeholders to gather inputs, analyze financial data, and provide recommendations for financial targets and resource allocation. Conducts in-depth financial analysis, including variance analysis, trend analysis, and profitability analysis. Supports the forecasting process by analyzing trends, identifying key drivers, and preparing financial models to evaluate different scenarios and their impact on financial outcomes. Identifies areas of improvement, cost-saving opportunities, and revenue enhancement strategies. Develops complex financial models to support strategic decision-making, investment analysis, and business planning. Implements improvements in forecasting methodologies, data collection, and analysis techniques to enhance forecasting capabilities. Identifies opportunities to streamline financial processes, improve efficiency, and enhance data accuracy. Edits and improves team processes and workflows to enhance efficiency and effectiveness and identifies bottlenecks or areas for improvement and implements changes to optimize team performance. Assists in coaching and providing g

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: As a Senior Software Engineer, you will join the Vortex back-end team within the Navigating Wellbeing portfolio, owning and evolving various member support services that enable Aetna Health's web and mobile applications. You will be responsible for designing, developing, and implementing solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of digital engineering projects. Required Qualifications: 5+ years software engineering experience 3+ years of experience in at least one of the following: Node.js, JavaScript, TypeScript and SQL 3+ years of experience designing, building, and testing REST API's and microservices 2+ years experience with AWS, GCP, or other cloud systems Preferred Qualifications: Experience with unit and integration test frameworks like Jest and Mocha Experience with Claude Code, GitHub Copilot, and other generative AI systems Thoughtful approach to CI/CD concepts using GitHub Actions, Jenkins, or other pipelines

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are looking for a highly motivated senior software engineer for an exciting role in our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning. What you will be doing: Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters. Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM. Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components. Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware. What we need to see: M.S./Ph.D. degree in CS/CE or equivalent experience. 5+ years of relevant experience. Excellent C/C++ programming and debugging skills. Strong experience with Linux. Expert understanding of computer syst

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information <li

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys

NVIDIA is seeking a Senior Software Engineer to help us develop distributed storage services for AI/ML. In this role you will work closely with the broader NVIDIA team to design and build a reliable, scalable, and efficient storage-as-a-service tailored to AI applications that can be deployed anywhere and scale without limitations. This service supports the whole NVIDIA critical business from graphics drivers to autonomous vehicles to deep learning frameworks. To achieve this goal, we are looking for an engineer with a deep understanding of distributed systems, outstanding design skills, and a track record in building and delivering large-scale distributed services. What you will be doing: Leading the overall architecture and design of our distributed storage service optimized for AI/ML Develop and maintain distributed, robust and scalable Go programs deployed to state of the art open-source ecosystems, including Kubernetes. Develop and maintain user-space applications, containers, Go-bindings, and CLI tools. Building features for a distributed storage service to enhance availability and reliability for large-scale deployments Engaging and collaborating with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services. Automating distributed storage service end-to-end, including deployment, management, and monitoring What we need to see: Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 8&#43; years of industry experience Strong background in developing distributed systems involving Golang, Kubernetes, and Cloud Service Provider integrations Strong track record of delivering distributed services in a variety of distributed computing environments Experience in i