Senior Semantic Ai Analyst Jobs

NVIDIA is leading 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 groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software. DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you will be doing: Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. Design and implement new communication technologies to accelerate AI and HPC workloads. Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. Build proofs-of-concept, conduct experiments,

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 Enterprise Strategy team is responsible for helping steward the development of the company’s long-term strategy and associated priorities, connecting each business unit to those priorities, exploring white space opportunities for growth, and connecting the dots across businesses to accelerate existing revenue streams. Our team has a unique opportunity to sit on the cutting edge of CVS Health’s future aspirations and enable our future strategy, specifically in Pharmacy Services. We connect business units to our priorities, both accelerating existing revenue streams and exploring net new areas of growth. The Sr. Manager, Enterprise Strategy (Individual Contributor) will play a pivotal role to supporting new growth initiatives and enabling execution of key strategic priorities. You will operate within a nimble team dedicated to top priority strategic initiatives with executive leadership visibility. You will closely partner with business stakeholders across our core businesses. This role requires comfort in working with ambiguity, as our team strives to create simplicity within complex, cross-functional strategic challenges. You will utilize market insights alongside CVS-focused expertise to help chart the path forward for a vertically integrated health care company. The Enterprise Strategy team is looking for a dynamic and creative team member who is passion

Senior Systems Software Engineer - Advanced Technology Group — US, OR, Hillsboro. Apply via Workday.

Senior Integration Engineer — Minnesota, United States of America. Apply via Workday.

Senior Test & Evaluation Lab Tech (Metrology & Calibration) — USA - Fort Greely, AK. Apply via Workday.

Senior Compute Platform Engineer, LSF — 2 Locations. Apply via Workday.

Become a part of our caring community We are looking for a highly motivated Senior Technology Leadership professional to join our IT Operations team. You will support the Lead of the Application Operations Center and Enterprise Post Production Validation teams, with a focus on process automation, innovation, and continuous improvement. You will work with both onshore and offshore resources, ensuring in daily tasks, enhancing application support, and driving improvements in monitoring and validation processes. Main Responsibilities: Collaborate with the Lead to provide operational and strategic support for Application Operations Center and Post Production Validation teams. Identify, evaluate, and implement automation opportunities to increase efficiency and reduce manual workload. Drive process innovation by recommending and deploying advanced tools and methodologies for application operations and validation activities. Analyze existing workflows and develop documentation for standard operating procedures and best practices. Oversee daily application support and monitoring activities to ensure system stability, performance, and reliability. Partner with onshore and offshore teams to coordinate task execution and promote consistent adoption of new processes and technologies. Develop and maintain dashboards and reports to track key performance indicators and present findings to leadership. Ensure automation and process improvements comply with organizational standards and regulatory requirements. Facilitate knowledge sharing, training sessions, and change management activities to support team development and successful project implementation. Engage with stakeholders to gather requirements, understand challenges, and communicate progress on automation initiatives. Ability to create

Senior Analyst, Risk Management — Bogota, Colombia (Bldg 978). Apply via Workday.

Senior AI Technical Product Manager — 6 Locations. Apply via Workday.

Senior Financial Analyst, Omnicare (Financial Planning & Analysis) — OH - Work from hom. Apply via Workday.

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

We are developing advanced multi-rack, multi-tenant AI/ML datacenters with NVIDIA GB200, and upcoming GB300 GPUs. NVIDIA seeks a Senior Software Engineer for our CSP (Cloud Service Provider) Engagements team to focus on the cloud-native stack for datacenter products like GB200. In this role, You will define customer workflows, prototype stack enhancements, and debug the toughest Kubernetes + Slurm issues in multi-rack, multi-tenant AI datacenters. You'll tackle complex scheduling challenges across racks, tenants, and clouds as part of the CSP engagements team. What you’ll be doing: Perform deep-dive debugging of multi-rack, multi-tenant clusters: scheduler behavior, container runtime issues, device-plugin crashes, RDMA/IB fabric anomalies, etc. Gather customer requirements and prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro-services that expose new GPU capabilities. Drive joint architecture reviews and “whiteboard” sessions with CSP and internal platform teams; convert findings into RFCs and upstream pull requests. Create reproducible testbeds (Helm/Ansible/Terraform) that mirror customer environments; automate validation and benchmark suites. Deliver technical collateral-design docs, how-to guides, demo scripts-and present at customer on-sites, KubeCon, and SlurmUG. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Strong source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins). Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters. Proven track record debugging large-scale, cloud-native stacks across ne

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role The Developer Infrastructure team builds the systems Sentry engineers use to develop, test, and ship software. We own local and cloud development environments, CI/CD across our open-source and private codebases, tooling for creating new services, and SDK and library publishing. Our goal is to help engineers spend more time building for customers and less time troubleshooting their development tools. You’ll work on problems such as shortening CI feedback cycles, improving deployment reliability, detecting flaky tests, and making development environments easier to use and maintain. As AI coding agents become part of engineering workflows, you’ll also help our environments, CI, and deployment systems support them with the context and access they need. You’ll own projects from design through rollout and ongoing operation, working directly with engineers across Sentry to understand their needs and measure whether your changes improve their work. This role is based in San Francisco, with three days per week in the office to work closely with Platform and Product Engineering teams. What You’ll Do Build and maintain tooling for local and cloud development environments. Improve the speed and reliability of CI and deployment pipelines as our codebases and infrastructure grow. Develop supported, reusable workflows for creating services and libraries. Improve SDK and library publishing tools and release processes. Build metrics, dashboards, and flaky test detection to help teams identify and resolve development and deployment problems. Give engineers and AI coding agents the context they need to work within Sentry’s syste

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. You will drive measurable outcomes in labor productivity and annualized hour savings by implementing strategies focused on standardization, simplification, automation, and leveraging generative AI methodologies. These approaches will enable reductions in labor hours, enhance labor efficiency, shorten cycle times, and improve overall operating cadence. Responsibilities Program Management and Delivery Drive year over year improvement in Frontend (FE) labor productivity VAM/HC in support of the 5MORE productivity roadmap. Lead E2E execution and governance of FE labor productivity programs to ensure on time delivery and measurable outcomes. Standardize tools, methods, and processes across sites to enable scalable and repeatable execution aligned with enterprise goals. Integrate labor initiatives across AI, automation, robotics, DREAM team, and innovation programs into a cohesive execution plan. Track, validate, and report productivity benefits including labor hour reduction, VAM/HC, and annualized savings in partnership with Site’s Labor Champions & Finance team. Maintain and optimize the loading-based staffing (LBS) model to align staffing levels with actual workload demand. Provide governance support for SEAL and SWAT initiatives. Lead Labor SWAT initiatives to improve FE labor productivity and functional AI roadmap. Targeted actions address gaps, accelerate progress, and support overall producti

Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Our users make decisions that impact real healthcare outcomes, so “good enough” is not good enough. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations. Why Join Us Build production AI systems where LLMs are in the critical path, not just demos or proofs of concept. Work on extraction, retrieval, agentic workflows, and human-review systems that process real healthcare data at scale. Own projects end-to-end across frontend, backend, AI orchestration, infrastructure, deployment, and operations. Solve challenging problems around accuracy, explainability, traceability, and reliability in regulated environments. Ship quickly in a small, high-impact team that embraces AI-assisted development and rigorous quality standards. Build systems that continuously improve through expert feedback, evaluations, and human-in-the-loop workflows. Key Responsibilities Design, develop, and deploy full-stack AI-powered application