Senior Technical Revenue Analyst Jobs

We anticipate the application window for this opening will close on - 31 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 At Medtronic Neuroscience, we bring innovation, expertise, and purpose together to improve outcomes and transform lives for people living with neurological, spine, and chronic pain conditions. Medtronic Neuromodulation and Pelvic Health (NMPH) deliver innovative, evidence-based therapies that help restore function, relieve chronic conditions, and improve quality of life. Through personalized, minimally invasive neuromodulation treatments, we empower patients to regain independence, confidence, and control, enabling better outcomes and helping them live life more fully. This role is part of NMPH Advanced Manufacturing Engineering function, supporting the development of next-generation implantable medical devices. The team partners closely with Research & Development, Design Engineering, Materials Engineering, and manufacturing organizations to evaluate manufacturing feasibility, develop innovative process technologies, and transition scalable manufacturing solutions from concept through commercialization. Based in Fridley, Minnesota, this is an onsite position supporting hands-on laboratory, prototyping, and manufacturing development activities. The role focuses on advanced manufacturing technologies including laser processing, precision joining, hermetic

The Cluster Manager - Stringer is responsible for overseeing the operations of the stringer production cluster, ensuring optimal performance and efficiency. This role emphasizes building strong teams, enhancing customer satisfaction, and driving sustainable business practices. By adhering to the annual business plan and leading organizational development initiatives, the Cluster Manager plays a vital role in achieving the cluster's operational goals and long-term success. Source: Adani Group | Job ID: 60217

The job purpose of a Shift Engineer - Cluster - Backend in the cell process is to lead and oversee the backend production operations of solar cell manufacturing. This role involves managing and optimizing critical processes like fine line printing, firing, work on completion of already defind DOEs and report compilation like screen design, paste development , ensuring efficient production, maintaining high product efficiency, promoting a safe work environment, and driving continuous improvement initiatives to meet production targets and industry standards effectively. Source: Adani Group | Job ID: 60035

The purpose of this role is to ensure the highest standards of quality across the solar cell manufacturing process by driving quality assurance, process control, defect analysis, continuous improvement initiatives, and compliance with product specifications. The role is responsible for maintaining product reliability, reducing manufacturing defects, improving yield, and supporting operational excellence to achieve business objectives within the Cell Manufacturing function. Source: Adani Group | Job ID: 58670

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. CVS is looking to add a Sr Analyst, Pharmacy Underwriter. In this role, you would be responsible for supporting both new business and renewal case specific ASC (self-insured) Pharmacy Pricing, as well as developing financial offers that are both competitive and profitable. In this role, you would provide support with financial responses for Request For Proposal questionnaires. The ideal candidate is able to anticipate customer needs and requirements as well as to facilitate and negotiate using tact and diplomacy. They will be involved in training, projects, and mentoring others. Works primarily on complex or high visibility cases, markets or underwriting methods. Additional Responsibilities are: Identifies training issues and recommends a course of action. Leads process improvement initiatives to improve productivity, accuracy and/or customer service and influences tool development Provides superior customer service Mentors and trains underwriting staff Ensures team members have the information to do their jobs Understands, applies and explains company services, product standards, underwriting policies, strategic direction and new initiatives relative to unit's responsibilities Grants underwriting exceptions and financial variances within prescribed limit Manages and/or participates on assigned projects and ensures project

Sr Software Engineer - Distributed Systems Engineer, EDA Infrastructure NVIDIA is hiring engineers to build and scale the infrastructure that supports our Electronic Design Automation (EDA) workloads. We are looking for engineers with strong programming skills, a deep understanding of distributed systems, experience operating large-scale production infrastructure, and excellent communication and planning abilities. You will help design reliable automation and platform services that manage large fleets of GPU-based and CPU-based compute systems used by engineering teams across NVIDIA. The ideal candidate is comfortable working across software, operating systems, cluster schedulers, networking, storage, and physical hardware. You should enjoy solving complex operational problems, eliminating repetitive work through automation, and building systems that remain reliable as infrastructure grows. If you are creative, pragmatic, and motivated to improve how critical engineering workloads are delivered, we would like to hear from you. What You Will Be Doing: Design and build platforms that automate the provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure. Develop monitoring, health-management, and remediation systems that improve the reliability, availability, and utilization of EDA compute environments. Automate hardware deployment, operating-system configuration, firmware and software updates, cluster enrollment, and recovery workflows. Build reliable services and workflows that integrate with workload schedulers, infrastructure management systems, and observability platforms. Use hardware diagnostics, operating-system signals, scheduler data, and network and storage telemetry to identify

Managing twenty-five scheduler cells by hand does not scale, and we are not going to try. NVIDIA is building a config-as-code foundation for its EDA compute farm, and we need an automation engineer to own it end to end. You are joining at the point where this is still partially manual and inconsistently applied across cells. That is the interesting version of the problem — you will be migrating off partial systems and reconciling drift, not starting from a blank repository. What you'll be doing: Designing and owning the configuration schema for LSF cell deployment, so that a policy change is written once, reviewed, tested, and applied identically everywhere it belongs. Building the deployment pipeline that takes scheduler configuration from merge to production across a federated estate, including staged rollout and rollback. Eliminating configuration drift across cells, and building the tooling that keeps it eliminated. Standing up the regression suite that lets us upgrade LSF on a schedule rather than on a dare. Working alongside our LSF internals engineer to encode hard-won scheduler knowledge into templates and policy, so that expertise lives in the repository instead of in one person's head. What we need to see: BS or MS in Computer Science or equivalent experience. 6+ years in infrastructure engineering with strong config management depth — Ansible, Salt, Puppet, Chef, or comparable. Real experience with GitOps practice at scale: review workflow, environment promotion, drift detection, and safe rollback. Proficiency in Go, Python and shell, and comfort building the tooling rather than only using it. Exper

We are seeking a Linux Systems Engineer to join our Infrastructure Engineering team, dedicated to supporting high-performance EDA compute farms. You will be responsible for designing, deploying, and maintaining enterprise-grade Linux environments across RPM-based distributions, optimized for the high-throughput requirements of EDA workloads. You will drive automation initiatives, and build robust tooling to support a highly available and scalable infrastructure. What you'll be doing: Linux Infrastructure Engineering: Maintain, tune, and secure mission-critical Linux operating systems across production and non-production environments. End-to-End Automation: Lead infrastructure configuration management and continuous deployment workflows using Infrastructure as Code, e.g. Ansible and Terraform . Tooling Development: Write high-quality, maintainable code in Python, Bash, or Go to automate repetitive operational tasks and integrate infrastructure telemetry. Naming & Storage Services: Manage Linux Naming Services (LDAP/SSSD) and networked storage (NFS, Autofs) environments to support high-performance EDA workloads. What we need to see: Linux Internals: 8+ years of deep systems engineering experience working with RPM-based Linux distributions. Bachelor's degree or equivalent work experience. Infrastructure as Code: Strong track record of automating end-to-end multi-tier infrastructure configurations and managing centralized deployments. Experience with more than one configuration management system is a bonus. Virtualization and Container Architecture: Deep understanding of virtualization and container internals

The job purpose of a Shift Engineer - ThermalTools is to oversee the efficient operation, maintenance, and optimization of thermal tools and equipment in manufacturing or industrial settings. They ensure production meets quality standards, adhere to safety regulations, lead teams, troubleshoot issues, and drive continuous improvement to enhance productivity and reliability. Source: Adani Group | Job ID: 60305

NVIDIA is looking for a Senior ASIC Verification Engineer to help verify our global IP! This position offers an opportunity to impact an array of products while collaborating with teams from design, architecture, verification, and integration. At NVIDIA, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will partner with the design and architecture teams to help make the right implementation choices, craft and implement verification test plans, maintain regressions, close coverage and sign off design or both functional correctness and for meeting performance expectations. This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI! What you'll be doing: Develop test plans, tests and verification infrastructure for verifying global IP across multiple products Define, develop, and automate flows and methodologies to efficiently build, deploy, and verify generated RTL Ensure code and functional coverage of all the RTL which you will verify Build verification components using SV/UVM methodology Driving coverage-based verification closure Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues What we need to see: BS/MS in Electrical or Computer Engineering (or equivalent experience) 5+ years of proven design verification experience Experience in pre-silicon verification (UVM, SystemVerilog), ASIC design/implementation flow, and design automation Programming and scripting experience in Perl or Python Excellent debugging and analy

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. Responsibilities of your team will include, but are not limited to: 1. Contributing to the development of new DRAM, emerging memory products and IP’s by enabling the overall design, layout, and optimization of Memory/Logic/Analog circuits 2. Supporting design validation & verification, reticle experiments and required tape-out revisions 3. Performing verification processes with modeling and simulation using industry standard simulators 4. Contributing to cross group communication to work towards standardization and group success 5. Working with Marketing, Probe, Assembly, Test, Process Integration, and Product Engineering groups to ensure proper manufacturability of product 6. Proactively solicit inputs from Standards, CAD, modeling, Technology Development groups to ensure the design quality and reliability 7. Driving innovation into the future Memory generations within a dynamic work environ

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 unique 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. You will design and build the next-generation architecture and software for managing storage services to support our engineers, architects with NVIDIA GPU design, VLSI, Corporate, and AI/ML teams. You will build the self-service architecture and capabilities to enable NVIDIA GPU design teams and handle services that are very critical for all NVIDIA users that require 24/7/365 availability and support. Your duties will involve leading and supporting the design of storage platform software services that not only impact revenue but also form the backbone of NVIDIA engineering infrastructure services and various business applications. What you’ll be doing: Define, Build, and manage an all-encompassing Enterprise software engineering platform to manage storage infrastructure and services consisting of a variety of enterprise appliances, networks, and open-source technologies Design and expand REST API’s that thousands of engineers will rely on for on-demand storage management to manage their workflows. Build and Integrate provisioning, metrics, monitoring, and software to enable management workflows for storage services. Develop tooling to automate deployment and management of large-scale design-storage environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources. Document the

We are now looking for a Senior Architect for GPUs and SoCs: The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of graphics and / or SOC algorithms and features Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required. Develop tests, test plans, and testing infrastructure for new architectures/features. Code coverage analysis and reporting Mentor younger engineers and help sustain good coding practices. Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change Help develop AI based tools to increase efficiency. What we need to see: Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) 8+ years of relevant work experience or MS with 5+ years of experience or PhD with 2+ years of experience Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GC

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. Join Micron’s Planning Manufacturing team, where you’ll contribute significantly to preparing and growing our next-generation memory fabs! You will engage with Manufacturing, R&D, and Supply Chain to convert complex data into clear decisions that support high volume production. If you enjoy addressing real problems that directly improve factory performance, this team delivers! In the role of the AI Enablement Industrial Engineer, you will support production readiness at Micron’s high-volume memory fab in Boise, Idaho. Tasks include crafting and deploying AI tools that translate manufacturing changes into capacity insights, building scalable AI planning tools, and providing data-driven recommendations to senior leaders. You will integrate advanced AI analytics and automation to improve capacity management. These results will increase forecast accuracy, accelerate decisions, and optimize resource use for a successful ramp and ongoing operations. Responsibilities: Drive equipment availability and utilization to improve fab capacity Develop and implement AI tools, model capacity impacts of new tools, process changes, and roadmap decisions Build and automate planning models through generative AI tools and Python, SQL, R, Excel, or VBA Build and maintain site capacity and utilization models to optimize deployed capital Communicate recommendations and improvement proposals through dashboards and executive presentations Min

Senior/Staff Test Engineer — Singapore. Apply via Workday.