Senior Software Development Engineer Ibm Jobs

Opportunity Overview: We are looking for a Sr. Forward Deployed Automation Strategist to play a key role in delivering value for our Platform-as-a-Service (PaaS) customers. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with clients to strategically design, execute, and maintain a robust prior authorization decisioning automation program. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. What you’ll do: Consult Platform-as-a-Service (PaaS) clients on designing an optimal decision automation program that maximizes platform value Translate complex client requirements into a detailed technical blueprints for development teams to leverage when implementing new clients Collaborate with Product, Development, Design, and Engineering teams in scoping new functionality, or enhancing existing functionality, to meet client automation needs Develop strategic roadmaps related to continuous improvement of decision automation performance in order to drive increased value for clients Analyze authorization data and leverage data visualization softwares to build and maintain analytical reports that inform internal and external stakeholders on platform performance Ensure client’s KPIs are met and ensure end-to-end automation success for each client through each stage of customer lifecycle Identify opportunities to scale and improve consultation workflows What you’ll need: 5+ years experience working in a client facing role; Demonstrated expertise in building client relationships and driving client engagement, value, and satisfaction Understanding of healthcare systems, medical terminologies, clinical workflows, and regulations Ability to navigate ethical dilemmas in healthcare data management and analysis while upholding professional standards and integrity Advanced Proficie

Opportunity Overview: We are looking for a Lead Forward Deployed Automation Strategist to play a key role in delivering value for our Platform-as-a-Service (PaaS) customers. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with clients to strategically design, execute, and maintain a robust prior authorization decisioning automation program. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. What you’ll do: Consult Platform-as-a-Service (PaaS) clients on designing an optimal decision automation program that maximizes platform value Translate complex client requirements into a detailed technical blueprints for development teams to leverage when implementing new clients Collaborate with Product, Development, Design, and Engineering teams in scoping new functionality, or enhancing existing functionality, to meet client automation needs Develop strategic roadmaps related to continuous improvement of decision automation performance in order to drive increased value for clients Analyze authorization data and leverage data visualization softwares to build and maintain analytical reports that inform internal and external stakeholders on platform performance Ensure client’s KPIs are met and ensure end-to-end automation success for each client through each stage of customer lifecycle Identify opportunities to scale and improve consultation workflows What you’ll need: 8+ years experience working in a client facing role; Demonstrated expertise in building client relationships and driving client engagement, value, and satisfaction Understanding of healthcare systems, medical terminologies, clinical workflows, and regulations Ability to navigate ethical dilemmas in healthcare data management and analysis while upholding professional standards and integrity Advanced Profici

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Develop revenue-generating strategic partnerships to help grow Kargo across existing and new product lines. Identify and incubate areas of potential development and growth where we have potentially strong product/market fit. Develops prospect and account relationships at an executive level as well as with appropriate influencers within the customer base and understands customer applications, processes, and business model. Develop presentations, conducts and participates in meetings with prospective and existing clients. Close large strategic deals that have a major impact on the company. Ability to travel greater than 50% of time. Experience 5+ years experience in business development at an enterprise company or related role. Creative dealmaker with a track record of conceiving and closing large enterprise partnerships. Strong analytical skills with the ability to build strategy and optimize customers using a metrics-driven approach. Manufacturing or Industrial Logistics domain expertise preferred. Enterprise account and/or Global account expertise preferred. A passion for the customer with a strong commitment to offering solutions to their problems. Ability to manage multiple tasks and achieve quality res

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Develop revenue-generating strategic partnerships to help grow Kargo across existing and new product lines. Identify and incubate areas of potential development and growth where we have potentially strong product/market fit. Develops prospect and account relationships at an executive level as well as with appropriate influencers within the customer base and understands customer applications, processes, and business model. Develop presentations, conducts and participates in meetings with prospective and existing clients. Close large strategic deals that have a major impact on the company. Ability to travel greater than 50% of time. Experience 2+ years experience in business development at a mid-market company or related role. Creative dealmaker with a track record of conceiving and closing mid-market partnerships. Strong analytical skills with the ability to build strategy and optimize customers using a metrics-driven approach. Manufacturing or Industrial Logistics domain expertise preferred. A passion for the customer with a strong commitment to offering solutions to their problems. Ability to manage multiple tasks and achieve quality results on time, while working under tight deadlines. Self-motivated with demo

Opportunity Overview: We are looking for a Manager, Forward Deployed Automation Strategy to play a key role in delivering value for our Platform-as-a-Service (PaaS) customers. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with clients to strategically design, execute, and maintain a robust prior authorization decisioning automation program. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Consult Platform-as-a-Service (PaaS) clients on designing an optimal decision automation program and develop strategic roadmaps Manage and mentor a team of direct reports, enabling execution, prioritization, and professional development Enhance the scale and efficacy of the Forward Deployed Automation Strategy team through process optimization, streamlined analytics framework, and AI tooling. Partner with Product, Development, Design, and Engineering teams in scoping new and enhanced product features to meet client automation needs Translate complex client requirements into a detailed technical blueprints for development teams to leverage when implementing new clients Analyze authorization and claims data, leverage data visualization softwares to build and maintain analytical reports that inform internal and external stakeholders on platform performance Ensure client’s KPIs are met and ensure end-to-end automation success for the portfolio of clients through each stage of customer lifecycle What you’ll need: 8+ years in a data-centric, client-facing role Passionate about improving U.S. healthcare and patient outcomes; understanding of healthcare systems, terminology, and regulations strongly preferred Comfor

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Identify and recruit partners aligned with our core markets in the logistics and automation space who can benefit from adding autonomous inventory monitoring. Work alongside our sales team to navigate complex enterprise deals, ensuring the value proposition of real-time warehouse visibility is clearly communicated. Lead technical and commercial workshops to ensure partners can confidently pitch, demo, and support Kargo's platform. Collaborate with partners to ensure Kargo's data feeds seamlessly into their customers' existing Warehouse Management Systems (WMS) and ERP platforms. Collaborate with our customer success and deployment teams to ensure successful partner-led implementations. Enable partners to successfully position, sell, implement and support Kargo's solutions. Establish partner success metrics, track performance, and continuously optimize the ecosystem. Experience 5+ years experience in channel sales, partnerships or business development, specifically within B2B Supply Chain Tech, Robotics, or Industrial AI. Deep understanding of warehouse operations, inventory accuracy challenges (shrinkage, misplacements), and the 3PL landscape. Experience discussing AI concepts like Computer Vision, Edge Computing, and API integra

Présentation du poste : Au sein de l'équipe Data Science d'Artefact, vous rejoignez une communauté d'experts en Data & IA intervenant auprès de grands comptes mondiaux. Dans un contexte de forte accélération autour de la GenAI et du Machine Learning, vous jouez un rôle clé dans la conception, la livraison et le passage à l'échelle de solutions IA à fort impact business. Ce qu’on attend de vous : En tant que profil Senior, vous garantissez l'excellence technique sur vos projets (robustesse, MLOps, passage en production) tout en servant de référent auprès de nos clients. Vous jouez un rôle moteur dans l'équipe en mentorant des Data Scientists plus juniors et en participant au développement d'accélérateurs internes. Vos missions : Piloter la livraison de projets IA de bout en bout : du cadrage des cas d'usage avec les équipes métier jusqu'à la mise en production de solutions ML ou GenAI mesurables. Concevoir des architectures et pipelines IA robustes et scalables en appliquant les meilleures pratiques de Software Engineering et de MLOps (tests, déploiement, maintenabilité). Servir de conseiller de confiance auprès des clients : vulgariser les approches IA de façon claire et pragmatique, évaluer la faisabilité, les risques et le ROI. Mentorer et faire monter en compétences les Data Scientists juniors à travers des retours constructifs, des revues de code et du coaching au quotidien. Contribuer au développement de l'expertise interne : créer des outils/accélérateurs réutilisables, animer des ateliers de partage et maintenir une veille technologique active. Explorer et appliquer des techniques IA avancées pour résoudre des problématiques complexes et non défrichées. Profil recherché : Expérience & Mindset : 3 ans ou plus d'expérience concrète dans le développement et le déploiement de solutions Data/IA en environnement Cloud. Expertise Technique : Solides compétences en Machine Learning appliqué, IA Générative, ainsi qu'une maîtrise des principes de Software Engin

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Software Engineer across our Identity, Data Security and Trust organization. These teams builds the security backbone of Snowflake — enabling customers to confidently bring their most sensitive data and workloads to the Data Cloud, empowering every Snowflake engineer to deliver the most secure platform at scale, and giving customers the tools to monitor, achieve, and maintain a strong security, governance, privacy, and compliance posture. As the agentic era accelerates, these teams are at the forefront of building AI-native security capabilities that protect the world's data. AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Design and implement critical AI security capabilities — including controlled, audited agent workflows, MCP server and client security, agent identity frameworks, and admin guardrails — that form the foundation for secure agentic enterprise adoption Build and evolve foundational identity and access management systems, including authentication protocols, SSO integrations, multi-factor authentication, OAuth/OIDC, SAML, SCIM, and fine-grained RBAC that scales to millions of objects and users Design and develop core security infrastructure spanning secret management, key management, service identity, and end-to-end encryption acro

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

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by incredible technology and amazing people. Today, we're using the power of AI to define the next era of computing, with our GPU acting as the brains of computers, robots, and self-driving cars. 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, encouraging environment where everyone is inspired to do their best work. NVIDIA is hiring a Staff Engineer to build the company's Enterprise Data Governance platform. This platform spans sensitive-information protection, governed data access across every collaboration and content system at NVIDIA, and the knowledge infrastructure that makes our enterprise AI trustworthy and accurate. What makes this role genuinely hard is the tension at its core: AI agents need broad, deep access to enterprise knowledge to be useful, while export controls, legal constraints, and security policy demand precise, auditable access control. Getting both right, across dozens of systems and one of the most complex enterprise environments in the industry, is the problem this team is solving. We are looking for technically strong engineers across the senior to principal level who thrive on hard infrastructure problems and want to own work that is central to how NVIDIA operates at scale. What You Will Be Doing: Sensitive Information Protection Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust. Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves. Governed Dat

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Who is Mastercard? We work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respect their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results About the Role Senior Software Engineers at Mastercard design and code artificial intelligence, cloud, and machine learning platforms that provide mission-critical insights to many of the world’s leading organizations and governments. As a Senior Software Engineer, you will deliver these products and solutions with speed and agility as part of a small team. This will involve developing high-performing, highly scalable software solutions and products for some of the world’s top brands. Specific tasks vary depending on the project and the busi

Job Title Senior Software Engineer - Image Reconstruction (C++/CUDA) Job Description Build the GPU-native engine that turns raw CT physics into life-saving images inside Philips scanners worldwide , wringing maximum performance from constrained hardware at the frontier of C&#43;&#43;, CUDA, and AI alongside world-class physicists. Your role: Help r e-architect an entire CT image-reconstruction pipeline, from raw detector physics to the final clinical image, as a fully GPU-native, massively scalable platform in C&#43;&#43; and CUDA. Work shoulder-to-shoulder with physicists, algorithm architects, and platform engineers, translating complex signal and image-processing models into high-performance GPU implementations that balance image quality against compute cost. Collaborate with CT platform teams around the globe to design, build, test, and deploy an industry-leading reconstruction software platform. Push the frontier of performance engineering and applied AI by profiling, parallelizing, optimizing memory use across caches and shared memory, and pioneering learned models that replace expensive physics with fast, accurate equivalents. This hybrid role is based in Cleveland, OH, with three flexible days in the office and two remote days each week . Regular travel is not typically </sp

NVIDIA is seeking a Senior Technical Program Manager to join the CSP Engagements team, focused on deep technical engagement with hyperscale cloud service providers for NVIDIA’s next‑generation datacenter systems such as Vera Rubin NVL72. This role is intended for experienced systems and embedded software leaders—including software engineering managers, technical leads, or senior architects—who have led datacenter server and platform software programs and can operate as a trusted technical partner to hyperscale CSP engineering teams. As a member of the CSP Engagements team, you will act as the primary technical engagement leader between NVIDIA’s system software organizations and CSP platform, system software, and AI teams, ensuring alignment, readiness, and successful large‑scale deployment of NVIDIA‑based datacenter solutions. What you will be doing: Lead deep technical engagements with hyperscale CSPs as the primary NVIDIA point of contact for system software, firmware, and platform readiness for NVIDIA datacenter products. Partner directly with CSP system software, firmware, and infrastructure engineering leaders to align on software architecture, bring‑up plans, deployment readiness, and production requirements for NVIDIA‑based server and rack‑scale platforms. Represent CSP technical priorities internally, advocating for customer requirements and tradeoffs across NVIDIA’s system software, firmware, hardware, silicon, and product teams are aligned to customer needs, timelines, and constraints. Own the end‑to‑end CSP engagement lifecycle, from early technical alignment and pre‑production readiness through large‑scale deployment, escalation management, and sustained production support. Drive bi‑directional technical communication: translating CSP system‑level requirements into actionable focus areas for NVIDIA engineering teams, while clearly communicating N

Senior Software Engineer, At Scale Compute Analysis — 5 Locations. Apply via Workday.

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 &#43; 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