Senior Host Systems Software Engineer Jobs

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. Unique Opportunities Lead the development of next-generation DRAM and LPDDR memory technologies that enable AI, mobile, automotive, and high-performance computing applications. Drive design innovation across memory sub-systems including array, datapath, sensing, repair, redundancy, IO, power management, and reliability features. Influence product architecture and technical roadmaps in collaboration with global engineering teams and technology leaders. Build and mentor a team of highly capable engineers while shaping the future design capabilities of the organization. Work closely with experts across design, modeling, layout, verification, product engineering, manufacturing, and system architecture. Lead adoption of advanced engineering methodologies, automation frameworks, and AI-enabled design workflows to accelerate development cycles and improve design quality. Help drive Micron's AI transformation through the practical application of Generative AI, Agentic AI, Large Language Models (LLMs), and data-driven engineering solutions. Responsibilities Define and drive strategic technical direction for memory circuit design activities across multiple projects and technology nodes. Build, lead, mentor, and develop a high-performing engineering team capable of delivering world-class memory products. Own execution, schedule, quality, and risk management for critical design deliverables. Partne

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

Job Requisition ID # 26WD100965 Position Overview Fusion is one of Autodesk’s fastest growing businesses, and India is a critical market for accelerating that momentum across APAC. We are hiring a Fusion Sales Manager for India to lead Fusion Land and Fusion Expansion sellers across the country. These teams drive new customer acquisition and growth within existing Fusion accounts, making this role central to the continued growth of the Fusion business in India. Autodesk’s culture emphasizes curiosity, rapid innovation, and ownership. We believe in reimagining what is possible, taking smart risks, and pursuing results with urgency. Within Fusion, we live that. You will be joining a team that combines the agility of a startup, the backing of a global leader, and a passion for meaningful change in manufacturing. This is a frontline sales leadership role for someone who knows how to build and develop high-performing sales teams, coach sellers in the field, and operate effectively in a fast-growing and dynamic market. You will work closely with Autodesk’s Sales Leadership in India and across APAC, while reporting directly to the Japan-based leader responsible for Fusion Sales across APAC. Fusion moves fast. We expect a leader who brings urgency, discipline, strong field instincts, and a growth mindset, while building strong collaboration across Sales, Technical Sales, Marketing, Customer Success, Channel, and our broader partner ecosystem. Responsibilities Lead Fusion Land and Expansion sellers across India, setting clear expectations and driving performance through coaching, development, and accoun

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

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. As a Senior/Staff Engineer in CPQE Deviation Management at Micron Technology, Inc., you will have a meaningful role in advancing quality excellence throughout Micron’s global Frontend manufacturing network. The mission of the Central QE organization is to raise Micron’s quality standards through focused collaboration with manufacturing sites, Global Quality teams, and Central partners. Join our driven team and contribute to the pursuit of flawless quality management! Key Responsibilities Lead global quality initiatives to build, implement, and sustain robust deviation management processes and systems. Drive the Issue Tracker SWAT team, deploying Best-Known Methods (BKMs) and standardizing practices across manufacturing sites. Analyze and resolve minor deviations (e.g., yield spread, yield deviation & minor GPSS) by providing data-driven recommendations to improve fab performance. Drive quality improvement efforts, resolving non-conformances and introducing corrective and preventive steps. Continuously improve quality metrics such as $CoNC and %NCD through innovative solutions and system improvements. Form and lead cross-functional task forces to address quality health concerns and improve metric performance across sites. Drive innovative, AI-powered project solutions to optimize efficiency, accelerate problem resolution, and deliver sustained benchmark performance. Set up key Quality program from planning stage and well verse with deployment and proliferation strategy in the

Our Purpose Mastercard powers economies and empowers people in 200&#43; 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 AI Engineer, Big Data & AI Solutions Overview The Security Solutions Data Science team develops AI and machine learning capabilities that help protect the global payments ecosystem from fraud and cyber threats. Supporting Mastercard’s Safety Net product, the team develops and enhances models that analyze billions of transactions and identify suspicious activity. As a Senior AI Engineer, you will work at the intersection of big data engineering and AI/ML, helping build and support the data, features, models, and production processes behind fraud detection. Ideal Candidate Profile You are a big data and AI/ML engineer who has used Apache Spark in a professional environment and has hands-on experience working within CI/CD-driven engineering environments. You understand how large-scale data moves from raw inputs through data and feature pipelines into machine learning models, and how those models are deployed, monitored, and improved in production. Large-scale data → Spark/PySpark → Data & Feature Pipelines → ML models → Production Deployment→ CI/CD→Monitoring & Drift Detection → Optimization & Retraining Experience with Generative AI, RAG, LLMs, or agentic AI is valuable, but the foundation for this role is large-scale data engineering and production AI/M

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 Within the data science department (“Analytics & Behavior Change”), you’ll have the opportunity to drive the next level of PBM (Pharmacy Benefit Manager) member experience and service quality at a leading national healthcare brand. We’re looking for aspiring analytical enthusiasts to drive efficiency and growth in Caremark's PBM business. You will partner with product owners, product leaders, and cross-functional stakeholders from ideation through execution to shape analytics product vision, validate opportunities, and define scalable solution approaches. Develop functional requirements, acceptance criteria, and detailed product specifications to communicate feature requirements to data science, engineering and stakeholder teams. Support engineering and data science teams to implement features by clarifying requirements, facilitating squad ceremonies, and helping technical team members ground on users and business needs. Manage product backlog, facilitate problem solving, scoping, and prioritization. Run day-to-day planning and ceremonies, and champion Agile practices. Clarify and coordinate dependencies with other teams and stakeholders. Champion a data-driven, and innovation-focused mindset with a strong commitment to product excellence and continuous improvement. Stay current on emerging trends in analytics, data platforms, AI/M

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. Product Manager AI adoption across the organization is accelerating, and existing governance processes can add cycle time and rely heavily on manual review. We are building an AI Governance Engineering capability to modernize governance through automation—shifting from approval-heavy workflows to registration-driven workflows with built-in controls, and continuous observability. As a product manager in AI Governance team, you will be responsible for managing the vision, roadmap and requirements for the engineering team delivering governance-as-code roadmap: platform-agnostic SDKs, APIs, and automated controls that help teams move faster while ensuring responsible AI guardrails are consistently enforced. This role is a combination of product manager and product owner roles where you will need to operate at both 10000 ft as well as ground level providing granular requirements that team can execute on. Responsibilities Define product strategy, capabilities, and roadmaps for the governance as code team of engineers. Define Agent to agent workflows Research industry practices in this domain and choose best bath forward taking an agile approach to development Establish shared vision across the company by building consensus on priorities. Building influential relationships with business partners, stakeholders, and peer group to drive o

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 now looking for a Senior Software Performance Engineer for Autonomous Vehicles! Our team builds NVIDIA’s end-to-end autonomous driving applications. We are seeking senior software engineers who are passionate about performance with an interest in optimizing self-driving solutions that run on NVIDIA’s multi-computer and heterogenous HW architectures. What you’ll be doing: Develop, maintain and optimize latency and throughput of NVIDIA’s L2/L3/L4 autonomous driving solutions. Devise acceleration strategies and patterns to improve software architecture and its efficiency on our computers with multiple heterogeneous hardware engines while meeting or exceeding product goals. Develop highly efficient product code in C&#43;&#43;, making use of algorithmic parallelism offered by GPGPU programming (CUDA)/ARM NEON while following quality and safety standards such as defined by MISRA. Collaborate with HW, product, OS, and safety teams to design next-gen products. What we need to see: MS or PhD degree in Computer Science, Computer Architecture, Electrical Engineering or related field (or equivalent experience). 12&#43; years of relevant professional experience. Excel