Requirements Engineer jobs at Philips

Introduction IBM Data Platform is building the leading hybrid AI and Data product for enterprises. We are delivering cutting-edge agentic and data capabilities so that clients can change the way they work. We are on the verge of a paradigm shift in enterprise productivity-and IBM Data Platform is defining what that future will look like. Are you ready to contribute to this new era of technology and help solve some of the world's most challenging problems? If so, let's talk. Your role and responsibilities IBM is seeking a motivated and detail-oriented Engineer to support our Benchmarking team. In this role you will build and deploy cutting edge agent and data software solutions to evaluate features, capabilities, and performance. You will run benchmarks and assessments to inform strategic product positioning. You are both a gifted engineer and product strategist. This is an excellent opportunity to gain hands-on experience with benchmarking tools, cloud infrastructure, and enterprise data platforms. Key Responsibilities: * Assist in deploying and configuring IBM and competitor software stacks on cloud environments (AWS, Azure, GCP). * Execute predefined benchmarking test plans using industry-standard tools and frameworks. * Collect and organize performance data; assist in basic analysis and visualization using tools like Grafana or custom dashboards. * Support the development and maintenance of benchmarking scripts and automation (e.g., Python, Bash). * Document test environments, configurations, and outcomes with accuracy and attention to detail. * Stay informed about emerging benchmarks and performance testing best practices. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Bachelor's degree in Computer Science, Engineering, or related field. * 0-1 year of experience in software engineering, performance testing, or related technical roles. * Basic familiarity with performance testing tools (e.g., JMeter, Locust) and scripting languages (e.g., Python, Bash). * Exposure to cloud platforms (AWS, Azure, GCP) through coursework, projects, or internships. * Strong organizational skills and ability to follow detailed technical instructions. * Eagerness to learn and grow in benchmarking and performance engineering. Preferred technical and professional experience * Master's degree in Computer Science, Engineering, or related field. * 1+ year of experience in software engineering, performance testing, or related technical roles. * Hands-on experience with containerization (Docker) or orchestration (Kubernetes) is a plus. * Familiarity with data platforms or distributed systems concepts. ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Distinguished Engineer - Accelerated Apache Spark NVIDIA is seeking a Distinguished Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises are now recognizing the needs of accelerated computing for large scale data processing. Multi-node GPU deployments will reduce cloud computing costs and lower latency of large scale data processing. At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. Our OSS RAPIDS Spark library is integrated with on-premise and cloud services such as AWS EMR, Databricks, Google Dataproc, Oracle Cloud Data Flow, Bytedance Volcengine, Tencent Cloud and Cloudera. You will serve as a hands-on architect of Nvidia Spark Acceleration Group. You will work with a team of distributed system engineers including PMC and Committers of Apache Spark, Apache Hadoop, Apache Hive, and Apache Arrow. You will engage in open source projects such as Apache Spark, RAPIDS, Apache Iceberg, Delta Lake, UCX and more. What you'll be doing: Lead the architecture, design and implementation of accelerated Apache Spark and related big-data frameworks Engage open source communities (including Apache Spark, RAPIDS, Apache Iceberg, Delta Lake and UCX) for technical discussion and contribution, and engage new communities where we may not have a strong presence yet Work with NVIDIA partners to deploy GPU enabled data analytics solutions in public cloud or on-premises clusters Present technical solutions at industry conferences and meetups Collaborate with distributed systems teams to define solutions to distributed processing problems challenges at large scale Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy Build, test and optimize CUDA/C++ libraries across different platforms Build automation and tools that will increase the productivity of teams developing distributed systems Mentor members of the engineering team What we need to see: BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience) 17+ years of work or research experience in software development Prior experience in delivering complex software projects as a lead architect Outstanding technical skills in designing and implementing high-quality distributed systems Excellent programming skills in C++, Java, and/or Scala Highly motivated with strong interpersonal skills and communication skills 5+ years working experience with key open source big-data projects as a contributor or committer to Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Hive, Apache Arrow, Delta Lake Excellent knowledge about distributed system schedulers: Kubernetes, Hadoop YARN, Apache Spark Able to delve into a new area and quickly come up to speed Able to work with teams across boundaries and geographies Ways to stand out from the crowd: Working experience in designing and developing columnar query engines would be a huge plus Committership at major open source projects (such as Apache Spark, Apache Hadoop, Apache Flink) is a big plus Working experience with acceleration libraries (CUDA, RAPIDS, UCX) is helpful Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 308,000 USD - 471,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 5, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

We are currently seeking a senior-level Engineer with distinguished expertise to join the Dynamo engineering team. As a Distinguished Engineer, you will be a key technical leader, helping drive technology and product direction, provide deep technical expertise and guidance to the team and NVIDIA at large, and have a material impact on the next generation of inference on NVIDIA hardware. At NVIDIA, we believe that inference will be driving increasing amount of compute, and as the hardware becomes more capable, it is crucial to make it easy for users to get the best performance as easily as possible. NVIDIA Dynamo helps users achieve state-of-the-art performance, using advanced techniques such as disaggregated serving, KV-aware routing, and others. As inference extends across modalities such as image, video and audio, the need for Dynamo only increases. What you will be doing: Contribute to the Dynamo family of open source projects. Serve as a technical expert in AI inferencing, helping to push the frontier of what's possible. Represent Dynamo and NVIDIA with customers, partners and the AI community. Lead critical initiatives around resiliency, performance and scalability for Dynamo and AI inference. Build and drive Dynamo to continue being a production-ready, data center-scale AI inferencing platform. Collaborate with diverse partner teams at NVIDIA across storage, networking, hardware and performance. Keep abreast of the latest advancements in AI/ML infrastructure technologies, frameworks, and effective strategies, and promote their implementation within the company. What we need to see: BS, MS, PhD, or equivalent experience in Computer Science, Computer Engineering, Artificial Intelligence or a related field. 18+ years of Proven experience in systems software engineering Expertise in the AI inference space, such as operating production inference systems at scale, working on inference engines, or similar. Experience serving as a senior technical leader in an organization, with the ability to lead through influence. Proficiency in programming languages such as Rust, Python, and Go, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure). Excellent problem-solving skills, showing proficiency in analyzing complex systems, identifying bottlenecks, and implementing scalable solutions. Excellent communication and collaboration skills, demonstrating effectiveness in working with diverse teams and individuals. Ways to stand out from the crowd: Experience in production-grade infrastructure, knowing how to take into account observability, resilience and operations. Enthusiasm for continual learning and keeping abreast of new technologies and effective approaches within the AI/ML systems domain. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 308,000 USD - 471,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 19, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence. We are seeking an innovative Timing Methodology Engineer to help drive multi-physics sign-off strategies for the world's leading GPUs and SoCs. This position is a broad opportunity to optimize performance, yield, and reliability through increasingly comprehensive modeling, informative analysis, and automation. This work will influence the entire next generation computing landscape through critical contributions across NVIDIA's many product lines ranging from consumer graphics to self-driving cars and the growing domain of artificial intelligence! We have crafted a team of highly motivated people whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. If you are fascinated by the immense scale of precision, craftsmanship, and artistry required to make billions of transistors function on every die at technology nodes as deep as 5 nm and beyond, this is an ideal role. What You'll Be Doing: Improve and validate flows for Prime-Time , Prime-Shield and Tempus STA QoR metrics for sign-off flow, and tool for high-speed designs, with focus on CAD and automation. Develop custom flows for validating QoR of ETM models, both of std cells and custom IPs. Develop flows/recommendations on STA sign-off to model deep submicron physical effects aging, self-heating, thermal impact, IR drop etc. Collaborate with technology leads, VLSI physical design, and timing engineers to define and deploy the most sophisticated strategies of signing off timing in design for world-class silicon performance. Develop tools, and methodologies to improve design performance, predictability, and silicon reliability beyond what industry standard tools can offer. Work on various aspects of STA, constraints, timing and power optimization. What We Need To See: MS or PhD in Electrical or Computer Engineering (or equivalent experience). Good understanding of modeling circuits for sign-off. Knowledge of extraction, device physics, STA methodology and EDA tools limitations. Shown understanding of mathematics/physics fundamentals of electrical design. Understanding of 3DIC, stacking, packing, self-heating and its impact on timing/STA closure. Background with crosstalk, electro-migration, noise, OCV, timing margins. Familiarity with Clocking specs: jitter, IR drop, crosstalk, spice analysis. Ways to Stand out from the Crowd: Shown interpersonal skills across multiple teams is a plus. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 9, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is a key player in the emerging space of sovereign computing, delivering in high security environments, and providing solutions for confidential computing. We're a team of innovative engineers dedicated to solving some of the world's biggest challenges, constantly driving advancements, and impacting millions of lives worldwide! As a technology leader at NVIDIA, you will lead the development of secure DGX Cloud offerings for regulated and sovereign cloud environments (governments, defense). You will define and drive the technical strategy for compliance, controls and monitoring, and global deployment environments. Including defining the technical strategy for concerns related to data residence / data perimeter, network isolation, and one-way transfer strategies. You will work with NVIDIA leadership cross-functionally to build infrastructure that enables customers with the highest security and operational standards-without compromising on performance or developer experience. What You'll Be Doing: Various Architectural Work: define and drive the technical implementation for DGX Cloud offerings in regulated and sovereign environments, including FedRAMP, IL5/6, SOC2, and international equivalents. Collaborate on Cross Domain Disciplines: drive awareness and technical strategy for regulatory compliance, high security, and overall security (detection, response, mitigation, prevention) into DGX Cloud engineering practices. Accelerate Global Expansion: Guide the secure delivery of DGX Cloud in international markets with sovereign data requirements and national security constraints. Engage with External Stakeholders: Collaborate with public sector customers, regulatory agencies, and strategic partners to ensure NVIDIA's solutions meet critically meaningful and jurisdictional needs. Enablement: Ensure that DGX Cloud, our customers, and partners achieve compliance and successfully operate in regulated environments. Full Software and System Lifecycle: From ideation, design, and development to ATO to active operations. Lead all technical aspects of readiness, control, monitoring, and continuous improvement of regulated cloud offerings. What We Need to See: 18+ overall years in technical roles with a focus on cloud infrastructure, platform security, or highly regulated deployment environments. 8+ years of leadership experience BS/MS or higher or equivalent experience in security, software engineering, or related engineering fields Technical proficiency in cloud-native architectures, isolation models, containerization, and secure multi-tenant systems. Proven success delivering high-impact technically complex solutions that achieve regulatory compliance while maintaining high performance and operational excellence. Technical Leadership: Ability to synthesize regulatory needs into architecture and design while guiding internal execution across diverse teams. Communication and Teamwork: Strong collaboration and influence skills, capable of leading engineering engagement, communicating with government partners, and working with high security customers. Ways to Stand Out from the Crowd: Engineering Enablement: History of creating scalable processes and extensible systems that facilitate compliance and security as foundational capabilities in hardware, infrastructure and IaaS, platforms and applications. Global Regulatory Expertise: Direct experience in designing, developing, delivering and operating secure cloud products in regulated markets (e.g., EU, Asia-Pacific, isolated and national clouds). Public Sector Depth: Familiarity with government operational models (ATO), mission workloads, and the evolving security posture of public institutions. 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. With competitive salaries and a generous benefits package (********************** ), we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 308,000 USD - 471,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 12, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will work on building world-class 3D obstacle perception solutions based on multi-sensor fusion, including cameras, ultrasonic sensors, and radar, to estimate high-resolution reconstruction of the world, such as occupancy networks. The primary approach will be deep learning. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime. What you'll be doing: * Perception experts with application focus will be on multi-sensor fusion based deep learning model development for obstacle perception/fusion in complex driving environments. * Applied research and development of innovative deep learning and multi-sensor fusion algorithms to improve output accuracy of 3D obstacle perception solutions under challenging and diverse scenarios, with a focus on high-resolution world reconstruction (e.g., occupancy networks). * Identify and analyze the strength and weakness of the developed 3D obstacle perception solutions using large scale benchmark data (both real and synthetic) and improve them iteratively through KPI building and optimization. This includes careful data verification, model architecture design, understanding details of loss function engineering, and being capable of finding detailed ML bugs and iterating toward perfection. * Productize the developed 3D obstacle perception solutions by meeting product requirements for safety, latency, and SW robustness, with a strong emphasis on production deep learning model development. * Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, so that value of data is maximized. What we need to see: * 10+ years of hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch). * Experience in multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly in high-resolution world reconstruction. * Proven experience in production deep learning model development, including careful data verification, model architecture design, loss function engineering, and debugging ML models. * Experience in data-driven development and collaboration with data and ground truth teams. * Strong programming skills in python and/or C++. * Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other. * BS/MS/PhD in CS, EE, sciences or related fields (or equivalent experience) Ways to stand out from the crowd: * Experience on end-to-end deep learning model development is a plus. * Proven expertise in developing perception solutions for autonomous driving or robotics using deep learning with multi-sensor input. * Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications. * Good understanding of fundamentals of 3D computer vision, camera calibrations including intrinsic and extrinsic, and sensor fusion principles. * Experience with development in CUDA language. The ability to implement CUDA kernels as part of training or inference pipelines. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 11, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is a key player in the emerging space of sovereign computing, delivering in high security environments, and providing solutions for confidential computing. We're a team of innovative engineers dedicated to solving some of the world's biggest challenges, constantly driving advancements, and impacting millions of lives worldwide! As a technology leader at NVIDIA, you will lead the development of secure DGX Cloud offerings for regulated and sovereign cloud environments (governments, defense). You will define and drive the technical strategy for compliance, controls and monitoring, and global deployment environments. Including defining the technical strategy for concerns related to data residence / data perimeter, network isolation, and one-way transfer strategies. You will work with NVIDIA leadership cross-functionally to build infrastructure that enables customers with the highest security and operational standards-without compromising on performance or developer experience. What You'll Be Doing: * Various Architectural Work: define and drive the technical implementation for DGX Cloud offerings in regulated and sovereign environments, including FedRAMP, IL5/6, SOC2, and international equivalents. * Collaborate on Cross Domain Disciplines: drive awareness and technical strategy for regulatory compliance, high security, and overall security (detection, response, mitigation, prevention) into DGX Cloud engineering practices. * Accelerate Global Expansion: Guide the secure delivery of DGX Cloud in international markets with sovereign data requirements and national security constraints. * Engage with External Stakeholders: Collaborate with public sector customers, regulatory agencies, and strategic partners to ensure NVIDIA's solutions meet critically meaningful and jurisdictional needs. * Enablement: Ensure that DGX Cloud, our customers, and partners achieve compliance and successfully operate in regulated environments. * Full Software and System Lifecycle: From ideation, design, and development to ATO to active operations. Lead all technical aspects of readiness, control, monitoring, and continuous improvement of regulated cloud offerings. What We Need to See: * 18+ overall years in technical roles with a focus on cloud infrastructure, platform security, or highly regulated deployment environments. * 8+ years of leadership experience * BS/MS or higher or equivalent experience in security, software engineering, or related engineering fields * Technical proficiency in cloud-native architectures, isolation models, containerization, and secure multi-tenant systems. * Proven success delivering high-impact technically complex solutions that achieve regulatory compliance while maintaining high performance and operational excellence. * Technical Leadership: Ability to synthesize regulatory needs into architecture and design while guiding internal execution across diverse teams. * Communication and Teamwork: Strong collaboration and influence skills, capable of leading engineering engagement, communicating with government partners, and working with high security customers. Ways to Stand Out from the Crowd: * Engineering Enablement: History of creating scalable processes and extensible systems that facilitate compliance and security as foundational capabilities in hardware, infrastructure and IaaS, platforms and applications. * Global Regulatory Expertise: Direct experience in designing, developing, delivering and operating secure cloud products in regulated markets (e.g., EU, Asia-Pacific, isolated and national clouds). * Public Sector Depth: Familiarity with government operational models (ATO), mission workloads, and the evolving security posture of public institutions. 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. With competitive salaries and a generous benefits package (********************** ), we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 308,000 USD - 471,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 12, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence. We are seeking an innovative Timing Methodology Engineer to help drive multi-physics sign-off strategies for the world's leading GPUs and SoCs. This position is a broad opportunity to optimize performance, yield, and reliability through increasingly comprehensive modeling, informative analysis, and automation. This work will influence the entire next generation computing landscape through critical contributions across NVIDIA's many product lines ranging from consumer graphics to self-driving cars and the growing domain of artificial intelligence! We have crafted a team of highly motivated people whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. If you are fascinated by the immense scale of precision, craftsmanship, and artistry required to make billions of transistors function on every die at technology nodes as deep as 5 nm and beyond, this is an ideal role. What You'll Be Doing: * Improve and validate flows for Prime-Time , Prime-Shield and Tempus STA QoR metrics for sign-off flow, and tool for high-speed designs, with focus on CAD and automation. * Develop custom flows for validating QoR of ETM models, both of std cells and custom IPs. * Develop flows/recommendations on STA sign-off to model deep submicron physical effects aging, self-heating, thermal impact, IR drop etc. * Collaborate with technology leads, VLSI physical design, and timing engineers to define and deploy the most sophisticated strategies of signing off timing in design for world-class silicon performance. * Develop tools, and methodologies to improve design performance, predictability, and silicon reliability beyond what industry standard tools can offer. * Work on various aspects of STA, constraints, timing and power optimization. What We Need To See: * MS or PhD in Electrical or Computer Engineering (or equivalent experience). * Good understanding of modeling circuits for sign-off. * Knowledge of extraction, device physics, STA methodology and EDA tools limitations. * Shown understanding of mathematics/physics fundamentals of electrical design. * Understanding of 3DIC, stacking, packing, self-heating and its impact on timing/STA closure. * Background with crosstalk, electro-migration, noise, OCV, timing margins. * Familiarity with Clocking specs: jitter, IR drop, crosstalk, spice analysis. Ways to Stand out from the Crowd: * Shown interpersonal skills across multiple teams is a plus. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 9, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Distinguished Engineer - Accelerated Apache Spark NVIDIA is seeking a Distinguished Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises are now recognizing the needs of accelerated computing for large scale data processing. Multi-node GPU deployments will reduce cloud computing costs and lower latency of large scale data processing. At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. Our OSS RAPIDS Spark library is integrated with on-premise and cloud services such as AWS EMR, Databricks, Google Dataproc, Oracle Cloud Data Flow, Bytedance Volcengine, Tencent Cloud and Cloudera. You will serve as a hands-on architect of Nvidia Spark Acceleration Group. You will work with a team of distributed system engineers including PMC and Committers of Apache Spark, Apache Hadoop, Apache Hive, and Apache Arrow. You will engage in open source projects such as Apache Spark, RAPIDS, Apache Iceberg, Delta Lake, UCX and more. What you'll be doing: * Lead the architecture, design and implementation of accelerated Apache Spark and related big-data frameworks * Engage open source communities (including Apache Spark, RAPIDS, Apache Iceberg, Delta Lake and UCX) for technical discussion and contribution, and engage new communities where we may not have a strong presence yet * Work with NVIDIA partners to deploy GPU enabled data analytics solutions in public cloud or on-premises clusters * Present technical solutions at industry conferences and meetups * Collaborate with distributed systems teams to define solutions to distributed processing problems challenges at large scale * Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy * Build, test and optimize CUDA/C++ libraries across different platforms * Build automation and tools that will increase the productivity of teams developing distributed systems * Mentor members of the engineering team What we need to see: * BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience) * 17+ years of work or research experience in software development * Prior experience in delivering complex software projects as a lead architect * Outstanding technical skills in designing and implementing high-quality distributed systems * Excellent programming skills in C++, Java, and/or Scala * Highly motivated with strong interpersonal skills and communication skills * 5+ years working experience with key open source big-data projects as a contributor or committer to Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Hive, Apache Arrow, Delta Lake * Excellent knowledge about distributed system schedulers: Kubernetes, Hadoop YARN, Apache Spark * Able to delve into a new area and quickly come up to speed * Able to work with teams across boundaries and geographies Ways to stand out from the crowd: * Working experience in designing and developing columnar query engines would be a huge plus * Committership at major open source projects (such as Apache Spark, Apache Hadoop, Apache Flink) is a big plus * Working experience with acceleration libraries (CUDA, RAPIDS, UCX) is helpful Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 308,000 USD - 471,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 5, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning

Introduction IBM Automation and AI group is seeking an entry level AI/ML Engineer specializing in machine learning and Large Language Models (LLMs) to join our AI/ML Center of Excellence team at the IBM Silicon Valley Lab location. In this role, you will collaborate with cross-functional product teams to implement cutting-edge AI/ML capabilities across IBM's Automation product portfolio. You will lead efforts in data collection for LLM training and evaluation, integrate LLM technologies into existing and new products, and establish best practices for AI/ML feature implementation by product teams. Your role and responsibilities Data Collection and Management for LLM Evaluation and Training * Design and implement robust data collection pipelines for diverse LLM training datasets leveraging the IBM AI Model & Data Catalog. * Develop data quality assessment frameworks to ensure training data meets IBM's high standards * Create annotation guidelines and workflows for specialized domain-specific datasets * Implement data governance protocols that ensure compliance with privacy regulations and ethical AI principles following the IBM Data & Model Governance process and tooling. * Establish evaluation datasets and benchmarks to measure LLM performance across various use cases leveraging FM-Eval and Unitxt. LLM Integration and Implementation * Architect solutions to integrate LLMs with IBM's existing and emerging products and ecosystem * Develop APIs and interfaces that enable seamless interaction between LLMs and other software components * Optimize LLM deployment for various computing environments (cloud, edge, on-premises) * Implement techniques for model compression, quantization, and optimization to improve inference efficiency and minimize resource requirements * Design and implement prompt engineering frameworks for consistent LLM behavior across products AI/ML Best Practices and Innovation * Establish technical standards and best practices for AI/ML feature implementation * Create reusable components and design patterns for common LLM use cases * Develop monitoring systems to track model performance, drift, and potential biases * Research and implement techniques for responsible AI, including explainability and fairness * Collaborate with product teams to identify opportunities for AI-driven innovation Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Bachelor's or master's degree or higher in Computer Science, Machine Learning, AI, or related technical field * Less than one year of experience in machine learning engineering or data science roles * Demonstrated knowledge of NLP and large language models (e.g., transformer architectures) including model evaluation and algorithm design. * Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX) * Experience with data processing pipelines and working with large datasets * Knowledge of MLOps practices and tools for model deployment and monitoring * Ability to work independently and collaborate effectively across diverse teams. * Strong communication skills to explain complex AI concepts to diverse audiences * Problem-solving mindset with ability to navigate technical and business constraints Preferred technical and professional experience * Experience with fine-tuning and prompt engineering for LLMs * Deep understanding of transformer architectures and attention mechanisms * Proficiency in vector databases and embedding technologies * Knowledge of model serving frameworks (TensorRT, ONNX, TorchServe) * Familiarity with cloud platforms (IBM Cloud, AWS, Azure, GCP) * Commitment to continuous learning in the rapidly evolving field of AI ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

**Introduction** IBM Automation and AI group is seeking an entry level AI/ML Engineer specializing in machine learning and Large Language Models (LLMs) to join our AI/ML Center of Excellence team at the IBM Silicon Valley Lab location. In this role, you will collaborate with cross-functional product teams to implement cutting-edge AI/ML capabilities across IBM's Automation product portfolio. You will lead efforts in data collection for LLM training and evaluation, integrate LLM technologies into existing and new products, and establish best practices for AI/ML feature implementation by product teams. **Your role and responsibilities** Data Collection and Management for LLM Evaluation and Training * Design and implement robust data collection pipelines for diverse LLM training datasets leveraging the IBM AI Model & Data Catalog. * Develop data quality assessment frameworks to ensure training data meets IBM's high standards * Create annotation guidelines and workflows for specialized domain-specific datasets * Implement data governance protocols that ensure compliance with privacy regulations and ethical AI principles following the IBM Data & Model Governance process and tooling. * Establish evaluation datasets and benchmarks to measure LLM performance across various use cases leveraging [1] FM-Eval and Unitxt. LLM Integration and Implementation * Architect solutions to integrate LLMs with IBM's existing and emerging products and ecosystem * Develop APIs and interfaces that enable seamless interaction between LLMs and other software components * Optimize LLM deployment for various computing environments (cloud, edge, on-premises) * Implement techniques for model compression, quantization, and optimization to improve inference efficiency and minimize resource requirements * Design and implement prompt engineering frameworks for consistent LLM behavior across products AI/ML Best Practices and Innovation * Establish technical standards and best practices for AI/ML feature implementation * Create reusable components and design patterns for common LLM use cases * Develop monitoring systems to track model performance, drift, and potential biases * Research and implement techniques for responsible AI, including explainability and fairness * Collaborate with product teams to identify opportunities for AI-driven innovation References Visible links 1. ********************************************** **Required technical and professional expertise** * Bachelor's or master's degree or higher in Computer Science, Machine Learning, AI, or related technical field * Less than one year of experience in machine learning engineering or data science roles * Demonstrated knowledge of NLP and large language models (e.g., transformer architectures) including model evaluation and algorithm design. * Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX) * Experience with data processing pipelines and working with large datasets * Knowledge of MLOps practices and tools for model deployment and monitoring * Ability to work independently and collaborate effectively across diverse teams. * Strong communication skills to explain complex AI concepts to diverse audiences * Problem-solving mindset with ability to navigate technical and business constraints **Preferred technical and professional experience** * Experience with fine-tuning and prompt engineering for LLMs * Deep understanding of transformer architectures and attention mechanisms * Proficiency in vector databases and embedding technologies * Knowledge of model serving frameworks (TensorRT, ONNX, TorchServe) * Familiarity with cloud platforms (IBM Cloud, AWS, Azure, GCP) * Commitment to continuous learning in the rapidly evolving field of AI IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** IBM Data Platform is building the leading hybrid AI and Data product for enterprises. We are delivering cutting-edge agentic and data capabilities so that clients can change the way they work. We are on the verge of a paradigm shift in enterprise productivity-and IBM Data Platform is defining what that future will look like. Are you ready to contribute to this new era of technology and help solve some of the world's most challenging problems? If so, let's talk. **Your role and responsibilities** IBM is seeking a motivated and detail-oriented Engineer to support our Benchmarking team. In this role you will build and deploy cutting edge agent and data software solutions to evaluate features, capabilities, and performance. You will run benchmarks and assessments to inform strategic product positioning. You are both a gifted engineer and product strategist. This is an excellent opportunity to gain hands-on experience with benchmarking tools, cloud infrastructure, and enterprise data platforms. Key Responsibilities: - Assist in deploying and configuring IBM and competitor software stacks on cloud environments (AWS, Azure, GCP). - Execute predefined benchmarking test plans using industry-standard tools and frameworks. - Collect and organize performance data; assist in basic analysis and visualization using tools like Grafana or custom dashboards. - Support the development and maintenance of benchmarking scripts and automation (e.g., Python, Bash). - Document test environments, configurations, and outcomes with accuracy and attention to detail. - Stay informed about emerging benchmarks and performance testing best practices. **Required technical and professional expertise** - Bachelor's degree in Computer Science, Engineering, or related field. - 0-1 year of experience in software engineering, performance testing, or related technical roles. - Basic familiarity with performance testing tools (e.g., JMeter, Locust) and scripting languages (e.g., Python, Bash). - Exposure to cloud platforms (AWS, Azure, GCP) through coursework, projects, or internships. - Strong organizational skills and ability to follow detailed technical instructions. - Eagerness to learn and grow in benchmarking and performance engineering. **Preferred technical and professional experience** - Master's degree in Computer Science, Engineering, or related field. - 1+ year of experience in software engineering, performance testing, or related technical roles. - Hands-on experience with containerization (Docker) or orchestration (Kubernetes) is a plus. - Familiarity with data platforms or distributed systems concepts. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** IBM Data Platform is building the leading hybrid AI and Data product for enterprises. We are delivering cutting-edge agentic and data capabilities so that clients can change the way they work. We are on the verge of a paradigm shift in enterprise productivity-and IBM Data Platform is defining what that future will look like. Are you ready to contribute to this new era of technology and help solve some of the world's most challenging problems? If so, let's talk. **Your role and responsibilities** IBM is seeking skilled and detail-oriented engineers to join our Benchmarking team. In this role you will build and deploy cutting edge agent and data software solutions to evaluate features, capabilities, and performance. You will run benchmarks and assessments to inform strategic product positioning. You are both a gifted engineer and product strategist. Key Responsibilities: * Deploy and configure IBM and competitor software stacks on hyperscaler infrastructure (AWS, Azure, GCP). * Execute benchmarking test plans using industry-standard tools and frameworks. * Collect, analyze, and visualize performance data using tools like Grafana, Prometheus, and custom dashboards. * Contribute to the development and refinement of benchmarking scripts and automation (e.g., using JMeter, Locust, or custom Python). * Collaborate with product managers, performance engineers, and architects to interpret results and identify optimization opportunities. * Maintain rigorous documentation of test environments, configurations, and outcomes. * Stay current on emerging benchmarks and performance testing methodologies relevant to data platforms and agentic systems. **Required technical and professional expertise** * Master's degree in Computer Science, Engineering, or related field. * Familiarity with performance testing tools (e.g., JMeter, Locust, LoadRunner). * Experience deploying and tuning software on cloud infrastructure (e.g., AWS EC2, GCP Compute Engine). * Basic proficiency in scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Terraform, Ansible). * Ability to interpret performance metrics and communicate findings clearly. * Strong attention to detail and organizational skills. **Preferred technical and professional experience** * PhD in Business, Computer Science, Engineering, or related field. * Experience with distributed systems, databases, and container orchestration (e.g., Kubernetes). * Familiarity with competitive data platforms or agentic frameworks. * Exposure to IBM's data and AI products IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** IBM Data Platform is building the leading hybrid AI and Data product for enterprises. We are delivering cutting-edge agentic and data capabilities so that clients can change the way they work. We are on the verge of a paradigm shift in enterprise productivity-and IBM Data Platform is defining what that future will look like. Are you ready to contribute to this new era of technology and help solve some of the world's most challenging problems? If so, let's talk. **Your role and responsibilities** IBM is seeking a motivated and detail-oriented Engineer to support our Benchmarking team. In this role you will build and deploy cutting edge agent and data software solutions to evaluate features, capabilities, and performance. You will run benchmarks and assessments to inform strategic product positioning. You are both a gifted engineer and product strategist. This is an excellent opportunity to gain hands-on experience with benchmarking tools, cloud infrastructure, and enterprise data platforms. Key Responsibilities: - Assist in deploying and configuring IBM and competitor software stacks on cloud environments (AWS, Azure, GCP). - Execute predefined benchmarking test plans using industry-standard tools and frameworks. - Collect and organize performance data; assist in basic analysis and visualization using tools like Grafana or custom dashboards. - Support the development and maintenance of benchmarking scripts and automation (e.g., Python, Bash). - Document test environments, configurations, and outcomes with accuracy and attention to detail. - Stay informed about emerging benchmarks and performance testing best practices. **Required technical and professional expertise** - Bachelor's degree in Computer Science, Engineering, or related field. - 0-1 year of experience in software engineering, performance testing, or related technical roles. - Basic familiarity with performance testing tools (e.g., JMeter, Locust) and scripting languages (e.g., Python, Bash). - Exposure to cloud platforms (AWS, Azure, GCP) through coursework, projects, or internships. - Strong organizational skills and ability to follow detailed technical instructions. - Eagerness to learn and grow in benchmarking and performance engineering. **Preferred technical and professional experience** - Master's degree in Computer Science, Engineering, or related field. - 1+ year of experience in software engineering, performance testing, or related technical roles. - Hands-on experience with containerization (Docker) or orchestration (Kubernetes) is a plus. - Familiarity with data platforms or distributed systems concepts. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Introduction IBM Data Platform is building the leading hybrid AI and Data product for enterprises. We are delivering cutting-edge agentic and data capabilities so that clients can change the way they work. We are on the verge of a paradigm shift in enterprise productivity-and IBM Data Platform is defining what that future will look like. Are you ready to contribute to this new era of technology and help solve some of the world's most challenging problems? If so, let's talk. Your role and responsibilities IBM is seeking a motivated and detail-oriented Engineer to support our Benchmarking team. In this role you will build and deploy cutting edge agent and data software solutions to evaluate features, capabilities, and performance. You will run benchmarks and assessments to inform strategic product positioning. You are both a gifted engineer and product strategist. This is an excellent opportunity to gain hands-on experience with benchmarking tools, cloud infrastructure, and enterprise data platforms. Key Responsibilities: * Assist in deploying and configuring IBM and competitor software stacks on cloud environments (AWS, Azure, GCP). * Execute predefined benchmarking test plans using industry-standard tools and frameworks. * Collect and organize performance data; assist in basic analysis and visualization using tools like Grafana or custom dashboards. * Support the development and maintenance of benchmarking scripts and automation (e.g., Python, Bash). * Document test environments, configurations, and outcomes with accuracy and attention to detail. * Stay informed about emerging benchmarks and performance testing best practices. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Bachelor's degree in Computer Science, Engineering, or related field. * 0-1 year of experience in software engineering, performance testing, or related technical roles. * Basic familiarity with performance testing tools (e.g., JMeter, Locust) and scripting languages (e.g., Python, Bash). * Exposure to cloud platforms (AWS, Azure, GCP) through coursework, projects, or internships. * Strong organizational skills and ability to follow detailed technical instructions. * Eagerness to learn and grow in benchmarking and performance engineering. Preferred technical and professional experience * Master's degree in Computer Science, Engineering, or related field. * 1+ year of experience in software engineering, performance testing, or related technical roles. * Hands-on experience with containerization (Docker) or orchestration (Kubernetes) is a plus. * Familiarity with data platforms or distributed systems concepts. ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Introduction IBM Data Platform is building the leading hybrid AI and Data product for enterprises. We are delivering cutting-edge agentic and data capabilities so that clients can change the way they work. We are on the verge of a paradigm shift in enterprise productivity-and IBM Data Platform is defining what that future will look like. Are you ready to contribute to this new era of technology and help solve some of the world's most challenging problems? If so, let's talk. Your role and responsibilities IBM is seeking skilled and detail-oriented engineers to join our Benchmarking team. In this role you will build and deploy cutting edge agent and data software solutions to evaluate features, capabilities, and performance. You will run benchmarks and assessments to inform strategic product positioning. You are both a gifted engineer and product strategist. Key Responsibilities: * Deploy and configure IBM and competitor software stacks on hyperscaler infrastructure (AWS, Azure, GCP). * Execute benchmarking test plans using industry-standard tools and frameworks. * Collect, analyze, and visualize performance data using tools like Grafana, Prometheus, and custom dashboards. * Contribute to the development and refinement of benchmarking scripts and automation (e.g., using JMeter, Locust, or custom Python). * Collaborate with product managers, performance engineers, and architects to interpret results and identify optimization opportunities. * Maintain rigorous documentation of test environments, configurations, and outcomes. * Stay current on emerging benchmarks and performance testing methodologies relevant to data platforms and agentic systems. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Master's degree in Computer Science, Engineering, or related field. * Familiarity with performance testing tools (e.g., JMeter, Locust, LoadRunner). * Experience deploying and tuning software on cloud infrastructure (e.g., AWS EC2, GCP Compute Engine). * Basic proficiency in scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Terraform, Ansible). * Ability to interpret performance metrics and communicate findings clearly. * Strong attention to detail and organizational skills. Preferred technical and professional experience * PhD in Business, Computer Science, Engineering, or related field. * Experience with distributed systems, databases, and container orchestration (e.g., Kubernetes). * Familiarity with competitive data platforms or agentic frameworks. * Exposure to IBM's data and AI products ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Introduction In this role, you will be part of the team building and supports the Internal Developer Platform (IDP) where all Apptio applications are deployed. In a typical day you will interact with GitHub, Linux, Kubernetes, ArgoCD, Docker, Confluence, Jira, Slack, and AWS. The Platform and Reliability Engineering (PRE) team at Apptio is responsible for enhancing and maintaining our IDP and driving the adoption of platform best practices across our engineering teams. We are a distributed team working across three locations including the United States, Poland, and Australia. When you join IBM, you join a culture of openness, collaboration, and trust. Join us and experience a place where you can co-create your learning and opportunities. A place where teamwork and unique ideas are treasured. A place where you can bring innovation to life. Your role and responsibilities You Are Passionate about problem solving and have experience developing platform features designed to improve the developer experience here in Apptio + IBM. Your team can count on you to solve challenging problems across the entire Apptio portfolio. You collaborate with other Platform Engineers, developers, and support teams to help provide value to the broader organization. You take responsibility when fixing problems in an automated code first way and are happy to step outside your comfort zone to develop your skillset. Responsibilities * Develop self-service features and services specifically designed to improve developer velocity * Manage deployments of Apptio services via ArgoCD * Streamline the CI process via GitHub Actions and create reusable templates for our developer's consumption * Improve observability of the services within your purview by reviewing KPI dashboards and alerting * Use and contribute to runbooks to troubleshoot and triage production issues * Detect issues and handle Tier 1-2 troubleshooting * Participate in online "swarm" collaboration sessions * Collaborate with Apptio product developers * Participate in on-call rotation * Perform maintenance of the platform (patching, resets, upgrades, etc.) Required education Bachelor's Degree Required technical and professional expertise * 2+ years' experience in a Platform Development, DevOps, SRE or adjacent role * Experience with at least one programming or scripting language (Preferably Golang) * Experience working with distributed application deployment and management * Experience working with container technologies (e.g., Kubernetes, Docker) * Experience working with Infrastructure-as-code (IaC) concepts * Experience working with cloud provider services such as AWS, Azure, or Google Cloud Platform * Familiarity with RESTful systems and their APIs * Desire working with a remote team * Fluent English language skills Preferred technical and professional experience * Experience with Monitoring Technologies (Prometheus, Splunk, Datadog, etc.) * General knowledge of GitOps and CI/CD principles * Experience with an Internal Developer Platform * Experience with CNCF products such as Cilium, Karpenter and a good knowledge of the CNCF landscape * Experience with the HashiCorp product suite (Vault, Terraform, Consul, etc.) ABOUT BUSINESS UNIT IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS For additional information about location requirements, please discuss with the recruiter following submission of your application.

Introduction At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you'll have the opportunity to work with leading professionals across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology platforms. Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged and supported to constantly reinvent yourself, focusing on skills in demand in an ever changing market. You'll be working with diverse teams, coming up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We offer: * Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications * Regular and frequent promotion opportunities to ensure you can drive and develop your career with us * Feedback and checkpoints throughout the year * Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks * A culture where your ideas for growth and innovation are always welcome * Internal recognition programs for peer-to-peer appreciation as well as from manager to employees * Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme * More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities We're excited to welcome a Java Engineer to our dynamic team. In this role, you'll have the opportunity to work alongside seasoned engineers, contributing to the design, development, and maintenance of our software systems. As a Java Engineer, you'll grow your skills, learn from experts, and play a vital part in our ongoing projects. Responsibilities * Code Development: Write, test, and debug high-quality code for our software systems using Java and related web technologies. * Learning & Growth: Continuously expand your knowledge of Java and web technologies through training, self-study, and collaboration with senior engineers. * Collaboration: Work as part of a team, contributing to project planning, code reviews, and troubleshooting efforts. * Process Adoption: Familiarise yourself with our engineering practices and contribute to their continuous improvement. * Incremental Projects: Take ownership of smaller tasks and features, contributing to the overall success of our projects The role requires a dedication to continuous learning and a commitment to delivering high-quality software solutions and is perfect for those starting or early in their careers, offering an opportunity to grow and learn under the guidance of experienced professionals. Required education None Preferred education Bachelor's Degree Required technical and professional expertise * Foundational Java programming knowledge and familiarity with front-end technologies such as HTML, CSS, and JavaScript. * Commitment to learning, a growth mindset, and passion for software development. * Willingness to work collaboratively and communicate effectively within a team. * Flexibility to learn from experienced engineers and adapt to new skills in a fast-paced environment. * Problem-Solving: Basic problem-solving skills to tackle day-to-day technical challenges. As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance. Preferred technical and professional experience * Familiarity with Agile methodologies. * Basic understanding of cloud platforms like AWS or Azure. * Experience with version control systems (e.g., Git). * Knowledge of database systems (SQL or NoSQL). * Understanding of software testing methodologies. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Distinguished Engineer - Accelerated Apache Spark NVIDIA is seeking a Distinguished Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises are now recognizing the needs of accelerated computing for large scale data processing. Multi-node GPU deployments will reduce cloud computing costs and lower latency of large scale data processing. At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. Our OSS RAPIDS Spark library is integrated with on-premise and cloud services such as AWS EMR, Databricks, Google Dataproc, Oracle Cloud Data Flow, Bytedance Volcengine, Tencent Cloud and Cloudera. You will serve as a hands-on architect of Nvidia Spark Acceleration Group. You will work with a team of distributed system engineers including PMC and Committers of Apache Spark, Apache Hadoop, Apache Hive, and Apache Arrow. You will engage in open source projects such as Apache Spark, RAPIDS, Apache Iceberg, Delta Lake, UCX and more. What you'll be doing: * Lead the architecture, design and implementation of accelerated Apache Spark and related big-data frameworks * Engage open source communities (including Apache Spark, RAPIDS, Apache Iceberg, Delta Lake and UCX) for technical discussion and contribution, and engage new communities where we may not have a strong presence yet * Work with NVIDIA partners to deploy GPU enabled data analytics solutions in public cloud or on-premises clusters * Present technical solutions at industry conferences and meetups * Collaborate with distributed systems teams to define solutions to distributed processing problems challenges at large scale * Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy * Build, test and optimize CUDA/C++ libraries across different platforms * Build automation and tools that will increase the productivity of teams developing distributed systems * Mentor members of the engineering team What we need to see: * BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience) * 17+ years of work or research experience in software development * Prior experience in delivering complex software projects as a lead architect * Outstanding technical skills in designing and implementing high-quality distributed systems * Excellent programming skills in C++, Java, and/or Scala * Highly motivated with strong interpersonal skills and communication skills * 5+ years working experience with key open source big-data projects as a contributor or committer to Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Hive, Apache Arrow, Delta Lake * Excellent knowledge about distributed system schedulers: Kubernetes, Hadoop YARN, Apache Spark * Able to delve into a new area and quickly come up to speed * Able to work with teams across boundaries and geographies Ways to stand out from the crowd: * Working experience in designing and developing columnar query engines would be a huge plus * Committership at major open source projects (such as Apache Spark, Apache Hadoop, Apache Flink) is a big plus * Working experience with acceleration libraries (CUDA, RAPIDS, UCX) is helpful Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 308,000 USD - 471,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 5, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning