Research Communications Manager Jobs

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: Build and maintain automation systems for provisioning and managing server fleets. Develop tools to monitor server health, performance, and lifecycle events. Collaborate with clusters, networking, and infrastructure teams. Partner with external operators to ensure a high level of quality. Identify and fix performance bottlenecks and inefficiencies. Continuously improve automati

About the Team OpenAI’s Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role You will be a Senior iOS engineer on OpenAI’s Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI’s products with confidence. This role is about creating high-quality products as well as reusable iOS foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale. In this role, you will: Build and ship new experiences on iOS that showcase the power of AI. Optimize app performance, reliability, and responsiveness at global scale. Design and maintain shared iOS frameworks and primitives for account, trust, and commerce flows that are used across OpenAI’s mobile apps. Establish robust testing frameworks and refine app architecture for long-term maintainability. Collaborate with product, design, research, and backend teams to deliver high-impact features. Provide technical leadership to shape the future of OpenAI’s iOS platform. You might thrive in this role if you: Have 4+ years of professional software engineering experience. Hav

About the Team OpenAI’s Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role You will be a Senior Android engineer on OpenAI’s Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI’s products with confidence. This role is about creating high-quality products as well as reusable Android foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale. You might thrive in this role if you: Have 4+ years of professional software engineering experience. Have a proven track record of building high-quality Android applications in production. Are fluent in Kotlin (and/or Java) and familiar with Android development tools and architecture components. Prioritize performance, security, and user experience in mobile development. Enjoy working cross-functionally to bring ambitious product ideas to life. Care deeply about performance, security, and user experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact. This role is based in San Francisco, CA. We use a

About us Meesho - Every story here begins with a spark of ambition and a touch of entrepreneurial magic. We're not just a platform — we're your partner in transforming dreams into reality. Our Mission Democratising internet commerce for everyone - Meesho started with a single idea in mind: to be an e-commerce destination for the next billion Indian consumers and enable small businesses to succeed online. We provide sellers with a range of industry-first benefits such as zero commission and affordable shipping costs, growing their business by tapping the company's massive customer base, state-of-the-art tech infrastructure, and pan-India logistics at cost through third-party logistics providers and our in-house logistics arm Valmo, in an 'Everyday Low Cost' channel for sellers. Affordable, relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country. We cater to an underserved and unique customer base and cover every serviceable pincode in the country. Our unique business model and continuous innovation have enabled us to become the first Indian horizontal e-commerce company. Know more about Meesho here: https://www.meesho.io/ About Valmo and the Data Science Team Valmo is Meesho's own logistics arm, built to give sellers and customers cutting-edge, low-cost logistics and supply chain support. Supply Chain Network Optimization sits at the heart of the Valmo Data Science team: we design and plan the network that moves Valmo's shipments every day, from first-mile pickup through sort centres and line haul to last-mile delivery. We use OR, MILP, stochastic optimisation, simulation, ML and DL across network design, first/middle/last-mile optimisation, capacity planning and delivery promise, and we build for the long term, not just today's problems. This role is for someone ready to execute at speed, with a growth mindset, to build and scale these models. About the Role As a Data Scientist 3(Operations Research), y

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: Build and maintain automation systems for provisioning and managing server fleets. Develop tools to monitor server health, performance, and lifecycle events. Collaborate with clusters, networking, and infrastructure teams. Partner with external operators to ensure a high level of quality. Identify and fix performance bottlenecks and inefficiencies. Continuously improve automation to reduce manual work

About the Team Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows. Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics. We’re not just scaling infrastructure – we’re redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive. About the Role This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You’ll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale. You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation. You’ve supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. You’re well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per wee

16000 inhand salary Address: 3rd Floor Two Horizon Centre DLF Phase 5 Golf Course Road Sector 43 Gurugram Haryana Facility: Tower Research Gurugram FM Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP586323

should have knowledge of store department and products info. Address: Datta Meghe Institute of Higesh Education & Research Campus Sawangi (Meghe) Wardha 442107 Facility: DATTA MEGHE - FS WARDA Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP576397

Sweet & Snacks Cook Address: SHOP NO- OM/6 ASHOKA MILLENIUM RING ROAD NO-1 RAIPUR -492001 Chhattisgarh INDIA Facility: 4 SEASONS HOSPITALS & RESEARCH CENTER Qualification: Not Specified Experience: 5 - 7 years Source: Sodexo India | Job Code: IJP586028

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. 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 & SOC acts as the brains of computers, robots, and self-driving cars that can understand the world. We are looking for Design Validation Engineer in Taipei for board/system power qualification and function test, responsible for NVIDIA Data Center platform, Graphics board, ARM Based platform and Autonomous Driving Platform. If you're creative and autonomous, we want to hear from you! What you'll be doing: Server/Motherboard/Mobile system functionality test. Clock/Sequency/GPIO signal measurement and verification. WAT (wide area test) function test. Gaming test. High/Low speed interface SI test. Co-work with hardware design engineers on debug and FA. Co-work with mechanical/thermal engineers for cooler/heatsink design. What we need to see: Masters degree in EE, computer science, or relative majors. Proficient with Linux system and GPU setup. Capable of writing simple shell scripts and analyzing test results using commands. Familiar with PC and Datacenter system hardware assembly, MB BIOS upgrade, and network troubleshooting Proficient with a programming language (C/C++, Python, Java, or Perl) Understand UEFI boot OS startup process and out-of-band (

NVIDIA's DGX Cloud (DGXC) powers AI for strategic research and product workloads. The company seeks a Senior Technical Program Manager (TPM) to lead complex, cross-functional programs powering NVIDIA’s next-generation AI software platforms. In this role, you will drive software initiatives across platform services, cloud infrastructure, and system integration. The focus is on enabling scalable, reliable, and supportable software for AI workloads. You will be responsible for managing high-impact engineering programs within a dynamic, fast-paced roadmap, aligning priorities across teams, and ensuring timely, high-quality delivery. This role requires strong technical competence, a proactive approach, and the ability to operate effectively across multiple levels of the organization. This is a software-first TPM role. The ideal candidate has extensive experience managing software initiatives. They also understand the full-stack environment, including infrastructure dependencies, system bring-up, integration readiness, and operational needs to support software across stack layers. What You'll Be Doing: Lead end-to-end execution of software platform initiatives, including planning, execution, delivery, and operationalization. Work together with software, infrastructure, product, and operations teams to ensure alignment on goals, deliverables, achievements, and schedules. Lead cross-functional initiatives encompassing cloud-native services, platform software, system integration, and release delivery. Help connect software roadmap execution to full-stack readiness, including dependencies across infrastructure, bring-up, validation, and downstream operational support. Identify cross-functional dependencies, mitigate risks, and drive resolution of complex technical and programmatic issues. Establish clear success metrics and reporting mechanis

KITCHEN MANAGEMENT Address: SHOP NO- OM/6 ASHOKA MILLENIUM RING ROAD NO-1 RAIPUR -492001 Chhattisgarh INDIA Facility: 4 SEASONS HOSPITALS & RESEARCH CENTER Qualification: Not Specified Experience: 8 - 10 years Source: Sodexo India | Job Code: IJP575903

... Address: 3rd Floor Two Horizon Centre DLF Phase 5 Golf Course Road Sector 43 Gurugram Haryana Facility: Tower Research Gurugram FM Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP570060

... Address: 3rd Floor Two Horizon Centre DLF Phase 5 Golf Course Road Sector 43 Gurugram Haryana Facility: Tower Research Gurugram FM Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP573143