High Performance Workstation Business Development Manager Amd Jobs

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Infrastructure team is central to this mission, setting the core strategy and implementing the vision. From site selection to deployment to operations, this team sits at the intersection of commercial, technical, and operational domains, interacting with experts and executives inside and outside of OpenAI. We design and operate mission-critical facilities that support cutting-edge AI workloads at scale. About the Role We are seeking a Facilities Operations Lead to support the commissioning, deployment, and long-term operation of our next-generation AI data centers. This role bridges the interface between data center construction and hardware landing, ensuring seamless integration of mission-critical infrastructure with hardware deployment timelines. You will define and execute commissioning plans, support infrastructure bring-up, and take ownership of operations and maintenance for cutting-edge, large-scale, AI data centers. You will collaborate closely with design, construction, and hardware teams to define repeatable processes for new data center builds and lead hands-on operations to uphold the performance and reliability of our deployed infrastructure. Key Responsibilities Define and execute sequences of operations, commissioning steps, and bring-up processes for mission-critical data center facilities. Interface with the design and hardware teams to define deployment procedures tailored to each data center and hardware configuration. Oversee installation, commissioning, and operational readiness of large-scale data center campuses. Manage monitoring, maintenance, and quality control of the data center infrastructure, including high-performance liquid cooling systems. Develop on-site operations staffing strategy. Develop and enforce procedures for planed and unplanned downtime and SLAs for critical

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Security Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments—GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Security Software Engineer, you will design and build critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD. Partner with infrastructure and research engineers to embed security into high-performance compute clusters, enabling rapid model training and deployment without compromising protection. Develop automation and detection tooling to continuously identif

About the Team OpenAI’s Inference team powers the deployment of our most advanced models - including our GPT models, 4o Image Generation, and Whisper - across a variety of platforms. Our work ensures these models are available, performant, and scalable in production, and we partner closely with Research to bring the next generation of models into the world. We're a small, fast-moving team of engineers focused on delivering a world-class developer experience while pushing the boundaries of what AI can do. We’re expanding into multimodal inference, building the infrastructure needed to serve models that handle image, audio, and other non-text modalities. These workloads are inherently more heterogeneous and experimental, involving diverse model sizes and interactions, more complex input/output formats, and tighter coordination with product and research. About the Role We’re looking for a software engineer to help us serve OpenAI’s multimodal models at scale. You’ll be part of a small team responsible for building reliable, high-performance infrastructure for serving real-time audio, image, and other MM workloads in production. This work is inherently cross-functional: you’ll collaborate directly with researchers training these models and with product teams defining new modalities of interaction. You'll build and optimize the systems that let users generate speech, understand images, and interact with models in ways far beyond text. In this role, you will: Design and implement inference infrastructure for large-scale multimodal models. Optimize systems for high-throughput, low-latency delivery of image and audio inputs and outputs. Enable experimental research workflows to transition into reliable production services. Collaborate closely with researchers, infra teams, and product engineers to deploy state-of-the-art capabilities. Contribute to system-level improvements including GPU utilization, tensor parallelism, and hardware abstraction layers. You might thrive in t

About the Team The Software Engineering team is responsible for designing and building the scalable, performant, and secure backend systems that power our products—from early prototypes to large-scale deployments. We collaborate closely with product, hardware, and full-stack teams to ensure our infrastructure enables fast iteration while setting a strong foundation for long-term growth. About the Role As a Backend Engineer , you will design and build services, APIs, and infrastructure that support evolving product needs. You’ll apply a deep understanding of backend systems and maintain enough end-to-end context—from hardware to cloud—to guide technical decisions that best serve the product and team. We’re looking for engineers who thrive in fast-paced, collaborative environments and care deeply about building robust systems that scale. This role is based in San Francisco, CA . We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Architect, build, and maintain high-performance, secure backend systems. Design APIs, data models, and infrastructure to support evolving product needs. Balance near-term development velocity with long-term maintainability and scalability. Collaborate with cross-functional teams to ensure cohesive, end-to-end solutions. You might thrive in this role if you: Have 7+ years of professional software engineering experience, with a focus on backend systems. Have a proven track record of building and scaling systems from early stage to large scale. Are proficient with Python and Go, and familiar with a range of server-side technologies. Have a strong grasp of system design, performance optimization, and security best practices. Can reason about full-stack tradeoffs from hardware through cloud infrastructure. (Nice to have) Have experience with distributed systems and cloud architectures. (Nice to have) Bring a background in instrumentation, analytics, and performanc

About the Team The Future of Computing Research team is an applied research team in the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Technical Lead on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. This role is based in San Francisco, CA. We follow a hybrid model with 3 days a week in the office and offer relocation assistance to new employees. In this role, you will: Evaluate and select silicon platforms (GPUs, NPUs, and specialized accelerators) for on-device and edge deployment of OpenAI models. Work closely with research teams to co-design model architectures that meet real-world deployment constraints such as latency, memory, power, and bandwidth. Analyze and model system performance, identifying tradeoffs between model design, memory hierarchy, compute throughput, and hardware capabilities. Partner with hardware vendors and internal infrastructure teams to bring up new accelerators and ensure efficient execution of transformer workloads. Build and lead a team of engineers responsible for implementing the low-level inference stack, including kernel development and runtime systems. Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of. You might thrive in this role if you: Have experience evaluating or deploying workloads on GPUs, NPUs, or other specialized accelerators. Understand the performance characteristics of transformer models, including attention, KV-cache behavior, and memory bandwidth requirements. Have designed or optimized high-performance compute systems, such as inference engines, distributed runtimes, or hardware-aware ML pipelines. Have experience building or leading teams work

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As a Member of Technical Staff on AI Infrastructure, you will build and maintain the foundational systems and distributed infrastructure that power AI model post training, inference, and data pipelines. You will collaborate with engineering and research teams to ensure performance, scalability, and reliability of critical AI systems. What You’ll Do Design and implement large-scale, distributed AI infrastructure and services Optimize performance for GPU/xPU accelerators and cloud environments Build tools for observability, reliability, and scaling of AI workloads Partner with cross-functional teams to define AI infrastructure requirements and roadmap Contribute to architectural design and system longevity About You Have experience with GenAI infrastructure systems, distributed systems, cloud computing, and high-performance infrastructure Are proficient in programming languages like Python, Go, or similar Understand scaling challenges specific to AI workloads and accelerators Thrive in fast-paced, collaborative engineering environments The reasonably estimated base salary for this role ranges from $256,000.00 to $276,

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As an Applied Scientist specializing in Small Language Models and AI Training, you will lead research and development efforts focused on building efficient, high-performance language models tailored for practical applications. You will work closely with research, engineering, and product teams to advance model training techniques, optimize architectures, and scale AI solutions. Your work will directly contribute to AI systems that are safe, interpretable, and impactful across diverse usage scenarios. What You’ll Do Lead research and development of novel training methodologies and architectures for small and efficient language models. Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models. Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies. Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications. Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluat

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are seeking an experienced and visionary AI Software Architect to lead the design and delivery of enterprise-scale AI and GenAI solutions. This role requires a strong foundation in software engineering, deep expertise in AI/ML frameworks, and a strategic mindset to architect secure, scalable, and high-performance systems. The ideal candidate will have a proven track record of hands-on development and architectural leadership across diverse AI domains.

Job Role : Telecaller Job Location : Goregaon, Mumbai Education : Graduation About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: Liaison between the creditors and consumers. They are in charge of observing accounts to identify overdue payments, report collection activity, address client queries, and develop repayment plans. About the role: They will be responsible for collection targets of the assigned branches. They will be required to meet the target of the assigned product. Follow the legal guidelines for collection agencies & in-house collections. Expectations/ Requirements: 1. To achieve collection targets of the Respective Branch assigned. 2. Meeting the Target on the product assigned for Collections. 3. Ensuring legal guidelines are compiled for the entire collection structure in letter and sprits. 4. Ensure that the collection agencies and In-house collectors adhere to the legal guidelines provided by the law in force. 5. Ensure adherence to the Code of Conduct. 6. Continuously monitoring collection agencies and In-house collectors to identify fraudulent practices and ensure that no loss is incurred due to such activities. Superpowers/ Skills that will help you succeed in this role: 1. He or she should have more than 1 year of relevant experience in Collections role 2. Excellent Communication Skills 3. Negotiations skills - strong bias for driving results in a High performance environment 4. Strong Relationship and Leadership skills 5. Working Knowledge of Computers 6. Growth Mindset 7. Demonstrated success and achievement orientation. 8. Willingness to experiment and improve continuously Why join us: 1. A collaborative output driven progr

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: Paytm Travel has revolutionized the travel industry - intending to empower millions of travelers who choose us as their preferred travel partner. Being one of the largest travel platforms in the country, we aim to not only ensure seamless, instant booking, but also a delightful journey. We strive to enrich the customer experience by making every transaction transparent, honest and hassle-free. To stay ahead of the curve, we are working aggressively towards our ambition to make travel affordable for all. With this customer centricity at our core, we strive to make Paytm Travel synonymous with trustworthy travel partners. Job Summary We are looking for a visionary and results-driven Director of Product to lead Paytm’s Travel business. This role will own the end-to-end product strategy and execution across travel categories, shaping how millions of users discover, book, and manage their journeys. The ideal candidate brings deep expertise in the travel ecosystem, strong business acumen, and a proven ability to lead cross-functional teams to deliver scalable, high-impact products. You will drive growth, optimize customer experience, and build innovative solutions in partnership with engineering, design, and business teams. Responsibilities 1. Define and drive the product vision, strategy, and roadmap for Paytm Travel, aligning with overall business goals and growth targets. 2. Identify new opportunities across the travel ecosystem (flights, trains, buses, hotels) through market insights, customer needs, and competitive analysis. 3. Lead and mentor a team of product managers, fostering a high-performance

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: Liaison between the creditors and consumers. They are in charge of observing accounts to identify overdue payments, report collection activity, address client queries, and develop repayment plans. About the role: Achieve the collections target and control collection flow for specified area. Expectations/ Requirements: 1. To Achieve Collection targets of the area assigned, control flow cases and focus on non starters. 2. Ensured documented feedback. 3. Ensure Adequate feet on Street availability/bucket wise /segment wise. Superpowers/ Skills that will help you succeed in this role: 1. More than 3 years of relevant experience in Collections role. 2. Demonstrated Success and achievement orientation. 3. Excellent Communication Skills. 4. Negotiations skills - strong bias for driving results in a High performance environment. 5. Strong Relationship skills. 6. Working Knowledge of Computers. Education: Graduation/ Post Graduation preferred. Why join us: We support our people by providing a range of flexible working options so they can work in the way that best suits them. We also offer you the opportunity to develop your career, working in a diverse and inclusive workplace where the diverse backgrounds, perspectives and life experiences of our people are celebrated and create a great place to grow, thrive and belong. Most importantly, for us Work is Fun!! Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users,21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving c

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role OpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you'll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API. You’ll work cross-functionally with teams building core services, training models, and developing real-time user experiences to push our latency, throughput, and cost-efficiency to the next level. We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack. In this role, you will: Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond. Develop tooling and metrics that provide deep observability into system performance. Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements. Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale. Lead investigations into high-impact performance regressions or scalability issues in production. Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems. You might thrive in this role if you: Have 7+ years of experience in software engineering with a strong tr

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE To be a expert performance engineer to define and validate the industry-leading performance of our mission-critical FlashArray portfolio. You will be instrumental in extending our capabilities into the cloud, directly impacting customer adoption and satisfaction by ensuring our products meet the highest benchmarks. This high-visibility role involves close collaboration with Product Management and Solutions Engineering to translate real-world customer needs into engineering goals. WHAT YOU'LL DO Define and Drive Benchmarking Strategy: Establish comprehensive, next-generation performance benchmarking requirements and metrics for all FlashArray products across diverse platforms, ensuring we maintain a significant competitive edge in the market. Team Execution and Mentorship: Provide technical direction and leadership to a team of highly motivated engineers, fostering a culture of technical excellence, and ensuring timely delivery of high-quality, high-impact performance results. Validate Critical Customer Scenarios: Collaborate with Product Management, Solutions, and Sales Engineering to research and develop performance validation strategies that accurately model and confirm critical customer use cases and requirements, directly enhancing product readiness. Optimize System Performance: Oversee the deep-dive analysis of performance bottlenecks within the Linux storage and networking stack, iden

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE To be a expert performance engineer to define and validate the industry-leading performance of our mission-critical FlashArray portfolio. You will be instrumental in extending our capabilities into the cloud, directly impacting customer adoption and satisfaction by ensuring our products meet the highest benchmarks. This high-visibility role involves close collaboration with Product Management and Solutions Engineering to translate real-world customer needs into engineering goals. WHAT YOU'LL DO Define and Drive Benchmarking Strategy: Establish comprehensive, next-generation performance benchmarking requirements and metrics for all FlashArray products across diverse platforms, ensuring we maintain a significant competitive edge in the market. Team Execution and Mentorship: Provide technical direction and leadership to a team of highly motivated engineers, fostering a culture of technical excellence, and ensuring timely delivery of high-quality, high-impact performance results. Validate Critical Customer Scenarios: Collaborate with Product Management, Solutions, and Sales Engineering to research and develop performance validation strategies that accurately model and confirm critical customer use cases and requirements, directly enhancing product readiness. Optimize System Performance: Oversee the deep-dive analysis of performance bottlenecks within the Linux storage and networking stack, iden

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE To be a expert performance engineer to define and validate the industry-leading performance of our mission-critical FlashArray portfolio. You will be instrumental in extending our capabilities into the cloud, directly impacting customer adoption and satisfaction by ensuring our products meet the highest benchmarks. This high-visibility role involves close collaboration with Product Management and Solutions Engineering to translate real-world customer needs into engineering goals. WHAT YOU'LL DO Define and Drive Benchmarking Strategy: Establish comprehensive, next-generation performance benchmarking requirements and metrics for all FlashArray products across diverse platforms, ensuring we maintain a significant competitive edge in the market. Team Execution and Mentorship: Provide technical direction and leadership to a team of highly motivated engineers, fostering a culture of technical excellence, and ensuring timely delivery of high-quality, high-impact performance results. Validate Critical Customer Scenarios: Collaborate with Product Management, Solutions, and Sales Engineering to research and develop performance validation strategies that accurately model and confirm critical customer use cases and requirements, directly enhancing product readiness. Optimize System Performance: Oversee the deep-dive analysis of performance bottlenecks within the Linux storage and networking stack, iden