Requirements Engineer jobs at Philips - 220 jobs

Job Details:Job Description: Join Intel's Mission to Transform Tomorrow: The Silicon and Platform Engineering (SPE) team stands at the forefront of Intel's semiconductor innovation, driving the development and optimization of cutting-edge silicon technologies that power the world's most advanced computing solutions. As a critical bridge between design and manufacturing, SPE ensures Intel's processors meet the highest standards of performance, reliability, and quality. Our team of world-class engineers tackles the most complex challenges in silicon validation, leveraging state-of-the-art debug methodologies and pioneering new techniques that define industry standards. Within SPE, the Pathfinding Engineer plays a pivotal role in advancing our post-silicon analysis capabilities, developing breakthrough tools and methodologies that enable rapid debug, failure analysis, and fault isolation (Debug/FA/FI). This position offers the unique opportunity to work at the intersection of hardware engineering and technology innovation, directly contributing to the silicon solutions that will shape the future of computing, artificial intelligence, and digital transformation across industries worldwide. Position Overview: We're seeking a skilled Pathfinding Engineer to lead post-silicon debug initiatives and advance optical tools development. This role combines hands-on technical expertise with strategic innovation to solve complex semiconductor challenges. Key Responsibilities Technical Execution: Develop and implement cutting-edge debug methodologies. Debug failing units using functional testers and advanced fault isolation techniques (Ebeam, LIT, XADA, TADA, LVP, IREM, TIVA, FIB, Circuit Edit, etc.). Apply deep product architecture knowledge to identify failures efficiently and accurately. Collaboration & Communication: Partner closely with FIB, test, and design engineering teams to analyze and resolve complex issues. Translate technical findings into clear, actionable insights for stakeholders. Ensure customer requirements are understood and delivered on schedule. Innovation & Leadership: Define current and future debug lab requirements for Intel. Lead development projects that advance post-silicon debug capabilities. Prepare for paradigm shifts in process technology roadmaps to ensure successful product launches. Create new test patterns, software solutions, and proof-of-concept demonstrations. Provide cross-functional technical leadership and knowledge sharing. What We're Looking For: Exceptional problem-solving abilities and analytical thinking. Self-motivated professional who thrives with minimal supervision. Strong passion for semiconductor design and deep technical curiosity. Excellent communication and collaboration skills. Eagerness to learn and adapt to emerging technologies. Growth Opportunities: While comprehensive training on tools, techniques, and product architecture will be provided, you'll be expected to continuously expand your expertise through collaboration with Intel's global engineering teams. Ready to shape the future of technology? Let's create something extraordinary together. Qualifications: Minimum Qualifications US Citizenship Required. Bachelors of Science degree in electrical/electronic engineering, computer engineering/science or any STEM related field of study. 2+ years of hands-on experience in any of the following: Computer architecture (x86) VLSI circuit design or device physics or process engineering. Working knowledge of Computer systems (i.e., Windows, LINUX, and UNIX). Experience with one of the following program languages (Python, Java, or C++). 4+ years of hands-on experience in any of the following: Post silicon debug methodology. Technology Pathfinding experience. Experience with product improvements to enhance performance, yield, quality, or reliability. Experience with of next generation Si, Product, and Package technologies. Experience with failure analysis fault isolations or debug tool sets. Preferred Qualifications Post Graduate degree in Electrical / Computer Engineering or any STEM related degree. Experience Influencing the IP/SoC design decisions and/or pre-/post- validation methods by doing validation gap analysis. Strong hands-on lab experience. Experience with CAD tools: Cadence Allegro or Mentor Expedition, or equivalent. Statistical/data analysis (MATLAB, Excel, JMP, etc.). Experience in automation and test/integration methodologies. Experience developing validation methodologies and infrastructure solutions. Test plan and test development experience. System and/or Functional area experience. Job Type:Intel Contract EmployeeShift:Shift 1 (United States of America) Primary Location: US, Oregon, HillsboroAdditional Locations:Business group:The Silicon Engineering Group (SIG) is a worldwide organization focused on the development and integration of SOCs, Cores, and critical IPs from architecture to manufacturing readiness that power Intel's leadership products. This business group leverages an incomparable mix of experts with different backgrounds, cultures, perspectives, and experiences to unleash the most innovative, amazing, and exciting computing experiences.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $52,000.00-$200,000.00The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful. Who we Are: Intel's Information Security organization supports the unique IT information Security and Compliance requirements for Intel Federal projects that deliver products and/or services to the US Government. As part of this team, you will help us grow our secure solution suite to meet U.S. Government requirements. Intel's Information Security organization is seeking a full-time Identity Engineer experienced with SailPoint IdentityIQ to add to our team. The focus of this job is Identity Governance and Administration (IGA) which is part of the Identity and Access Management (IAM) subject area. Primary duties and responsibilities: + Installing, securing, upgrading, and patching the SailPoint IdentityIQ solution. + Development and configuration of various SailPoint IIQ modules (e.g. Compliance Manager, Lifecycle Manager, Connectors). + Integration of IdentityIQ with Microsoft Active Directory, including design and implementation. + Designing and deploying custom forms, approval workflows, connectors in SailPoint which will be used for access requests, access certifications, and provisioning. + Automating processes in the SailPoint toolset using PowerShell scripting. + Maintaining Infrastructure including Windows servers and SQL Server databases. + Consulting with customers to create IdentityIQ role and entitlement models that meet security requirements. + Coordinating security assessments to identify security control failures and recommend corrective actions. + Assisting with architecting identity security products in secured enclaves, including product testing, validation, and selection. + Assisting with design and long-term roadmap planning to satisfy future scalability requirements in secure enclaves. + Business travel is required as needed. + Ability to thrive in dynamic and fast-paced environments. + Excellent communication, leadership, strong troubleshooting, debugging, and analytical skills. \#cj **Qualifications:** You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences. Minimum Qualifications: + US Citizenship required. + Ability to obtain and maintain a US Government Security Clearance. + Bachelor's degree in Systems Engineering, Cyber Security Engineering, Computer Engineering, Computer Science, Information Systems, or similar discipline and 4+ years of work-related experience. + 1+ years' experience in designing and implementing custom SailPoint solutions. + 1+ years' experience in implementing and supporting SailPoint IIQ modules like Compliance Manager, Lifecycle Manager, Integration modules, in both production and nonproduction environments. Preferred Qualifications: + Active US Government Top Secret (TS) Security Clearance with the ability to obtain and maintain SCI access. + Experience with DoD security implementation (e.g. STIG) and security tools for managing the environment. + Experience with business continuity and disaster recovery. + Experience configuring Roles and Entitlements in SailPoint IdentityIQ. + Experience developing, implementing or supporting APIs (RESTful services preferred) + Experience integrating SailPoint IdentityIQ with Active Directory. + Experience with scripting in the Windows environment, preferably in PowerShell. + Experience with Microsoft SQL Server 2019/2022. + Experience with Web Tech: HTML, JavaScript, JSP, XML, XSL, and DTD. **Job Type:** Experienced Hire **Shift:** Shift 1 (United States of America) **Primary Location:** US, California, Santa Clara **Additional Locations:** US, Oregon, Hillsboro **Business group:** Join Intel's Finance Group, a key player in driving strategic business decisions that enhance shareholder value. Our team is dedicated to facilitating change and improvement across finance and the operations we support. As strategic partners, we lead acquisitions and inorganic growth initiatives, managing transactions from ideation to completion while serving as trusted advisors to executive leadership. Additionally, we enhance employee experiences by maintaining Intel sites globally and advancing environmental sustainability efforts. **Posting Statement:** All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. **Position of Trust** N/A **Benefits** We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel (*********************************************************************************** . Annual Salary Range for jobs which could be performed in the US: $105,300.00-175,210.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. **Work Model for this Role** This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful. Who we Are: Intel's Information Security organization supports the unique IT information Security and Compliance requirements for Intel Federal projects that deliver products and/or services to the US Government. As part of this team, you will help us grow our secure solution suite to meet U.S. Government requirements. Intel's Information Security organization is seeking a full-time Identity Engineer experienced with SailPoint IdentityIQ to add to our team. The focus of this job is Identity Governance and Administration (IGA) which is part of the Identity and Access Management (IAM) subject area. Primary duties and responsibilities: * Installing, securing, upgrading, and patching the SailPoint IdentityIQ solution. * Development and configuration of various SailPoint IIQ modules (e.g. Compliance Manager, Lifecycle Manager, Connectors). * Integration of IdentityIQ with Microsoft Active Directory, including design and implementation. * Designing and deploying custom forms, approval workflows, connectors in SailPoint which will be used for access requests, access certifications, and provisioning. * Automating processes in the SailPoint toolset using PowerShell scripting. * Maintaining Infrastructure including Windows servers and SQL Server databases. * Consulting with customers to create IdentityIQ role and entitlement models that meet security requirements. * Coordinating security assessments to identify security control failures and recommend corrective actions. * Assisting with architecting identity security products in secured enclaves, including product testing, validation, and selection. * Assisting with design and long-term roadmap planning to satisfy future scalability requirements in secure enclaves. * Business travel is required as needed. * Ability to thrive in dynamic and fast-paced environments. * Excellent communication, leadership, strong troubleshooting, debugging, and analytical skills. #cj Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences. Minimum Qualifications: * US Citizenship required. * Ability to obtain and maintain a US Government Security Clearance. * Bachelor's degree in Systems Engineering, Cyber Security Engineering, Computer Engineering, Computer Science, Information Systems, or similar discipline and 4+ years of work-related experience. * 1+ years' experience in designing and implementing custom SailPoint solutions. * 1+ years' experience in implementing and supporting SailPoint IIQ modules like Compliance Manager, Lifecycle Manager, Integration modules, in both production and nonproduction environments. Preferred Qualifications: * Active US Government Top Secret (TS) Security Clearance with the ability to obtain and maintain SCI access. * Experience with DoD security implementation (e.g. STIG) and security tools for managing the environment. * Experience with business continuity and disaster recovery. * Experience configuring Roles and Entitlements in SailPoint IdentityIQ. * Experience developing, implementing or supporting APIs (RESTful services preferred) * Experience integrating SailPoint IdentityIQ with Active Directory. * Experience with scripting in the Windows environment, preferably in PowerShell. * Experience with Microsoft SQL Server 2019/2022. * Experience with Web Tech: HTML, JavaScript, JSP, XML, XSL, and DTD. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, California, Santa Clara Additional Locations: US, Oregon, Hillsboro Business group: Join Intel's Finance Group, a key player in driving strategic business decisions that enhance shareholder value. Our team is dedicated to facilitating change and improvement across finance and the operations we support. As strategic partners, we lead acquisitions and inorganic growth initiatives, managing transactions from ideation to completion while serving as trusted advisors to executive leadership. Additionally, we enhance employee experiences by maintaining Intel sites globally and advancing environmental sustainability efforts. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $105,300.00-175,210.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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 pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Superclusters (MARS) builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you'll help design solutions that power some of the world's most advanced computing workloads. NVIDIA is looking for an AI/ML HPC Cluster Engineer to join our MARS team. You will provide technical engagement and problem solving on the management of large-scale HPC systems including the deployment of compute, networking, and storage. You will be working with a team of passionate and skilled engineers across NVIDIA that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in Linux administration, networking, storage, job schedulers, driving improvements, and has the ability to understand researcher computing needs. What you'll be doing: Support day-to-day operations of production on-premises and multi-cloud AI/HPC clusters, ensuring system health, user satisfaction, and efficient resource utilization. Directly administer internal research clusters, conduct upgrades, incident response, and reliability improvements. Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions. Maintain heterogeneous AI/ML clusters on-premises and in the cloud. Support our researchers to run their workloads including performance analysis and optimizations Analyze and optimize cluster efficiency, job fragmentation, and GPU waste to meet internal SLA targets. Support root cause analysis and suggest corrective action. Proactively find and fix issues before they occur. Triage and support postmortems for reliability incidents affecting users or infrastructure. Participate in a shared on-call rotation supported by strong automation, clear paths for responding to critical issues, and well-defined incident workflows. What we need to see: Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience Minimum 2 years of experience administering multi-node compute infrastructure Background in managing AI/HPC job schedulers like Slurm, K8s, PBS, RTDA, BCM (formerly known as Bright), or LSF Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions Proven understanding of cluster configuration management tools (Ansible, Puppet, Salt, etc.), container technologies (Docker, Singularity, Podman, Shifter, Charliecloud), Python programming, and bash scripting. Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields. Ways to stand out from the crowd: Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking Experience with AI/ML concepts, algorithms, models, and frameworks (PyTorch, Tensorflow) Experience with InfiniBand with IBOP and RDMA Understanding of fast, distributed storage systems such as Lustre and GPFS for AI/HPC workloads Applied knowledge in AI/HPC workflows that involve MPI Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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

NVIDIA is hiring a distinguished engineer to develop its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and NumPy code. Our goal is to deliver a polished, fast, modular and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To achieve this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world! What You Will Be Doing: Play significant role in NVIDIA's effort in contributing to JAX. Design and implement JAX core components and drive peak performance on NVIDIA products. Work with AI applied researchers and leaders to build future-proof models Build tools that will increase the efficiency of teams developing AI-based systems. Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products. What We Need To See: BS in Computer Science or Computer Engineering or related field (or equivalent experience) 18+ years relevant experience C/C++ and Python programming Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.) Proven ability developing customer-facing solutions, balancing feature requests and bugs. Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design. Highly motivated with excellent verbal and written communication skills. Ability to work successfully with multi-functional teams, principles and architects. Coordinates effectively across organizational boundaries and geographies. Ways To Stand Out From The Crowd: Understanding of JAX, Autograd, tracing, code generation and DSL compilers and their design. Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous vs asynchronous. Background with software shipping cycles (dev, deploy, release, CI). Experience building distributed systems and services at large scale. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.

**Introduction** At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. About the team - Engineering at HashiCorp On the HashiCorp engineering team, we build the Infrastructure Cloud which allows enterprises to take a unified approach to Infrastructure and Security Lifecycle Management: [1] Infrastructure Lifecycle Management: Build / Deploy / Manage * [2] Terraform allows you to use infrastructure as code to provision and manage any infrastructure across your organization. * [3] Packer standardizes image workflows across cloud providers, allowing teams to build, govern and manage any image for any cloud. * [4] Waypoint makes infrastructure easily accessible at scale, enabling platform teams to deliver golden patterns and workflows with an internal developer platform. * [5] Nomad brings modern application scheduling to any type of software, allowing you to manage containers, binaries and VMs efficiently in the cloud, on-premises and across edge environments. [6] Security Lifecycle Management: Protect / Inspect / Connect * [7] Vault Radar is an automated security product that continuously detects and identifies unmanaged secrets, and personally identifiable information (PII) within code to help teams remediate risks. * [8] Vault provides organizations with identity-based security to automatically authenticate and authorize access to secrets and other sensitive data. * [9] Boundary standardizes secure remote access across dynamic environments, allowing organizations to connect users and manage access with identity-based security controls. * [10] Consul standardizes service networking, allowing you to discover and securely connect any service across any runtime with identity-based service networking. We deliver the Infrastructure Cloud through an enterprise-grade unified SaaS platform, [11] HCP, as well as to enterprises through self-managed/on-premises options. Across product engineering and platform engineering teams, we are looking for great engineers to join us in developing the Infrastructure Cloud! References Visible links 1. ********************************************************************************** 2. ******************************************** 3. ***************************************** 4. ******************************************* 5. **************************************** 6. **************************************************************************** 7. **************************************************** 8. **************************************** 9. ******************************************* 10. ***************************************** 11. *********************************** **Your role and responsibilities** We're looking for Mid-Level Engineers with a deep backend focus to join our team. In this role, you can expect to: * Design, prototype and implement features and tools while ensuring stability and usability. * Collaborate closely with Product Design and Product Management partners, as well as engineers on your team and others. * Follow through on assigned tasks to build and ship medium-sized features, managing task expectations as needed. * Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements. * Apply independent judgment within team practices to determine appropriate actions and solutions. * Address unforeseen challenges, making recommendations to keep tasks on track. * Debug and resolve medium-level bugs in products or solutions to maintain quality. * Review technical contributions for quality and consistency, collaborating with stakeholders to resolve issues and recommend technical or architectural changes. * Suggest improvements to current processes and propose solutions to enhance the efficiency of architectural components and design. * Participate in on-call rotations, pairing, and team planning to support product needs. * Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements. **Required technical and professional expertise** * Hands on experience as an engineer working in Golang. * Hands on experience developing with modern programming languages and frameworks. * Hands on experience working with distributed systems, particularly cloud providers such as AWS, Azure, or GCP, with a focus on scalability, resilience, and security. * Experience in reviewing and refactoring code and making suggestions that improve the codebase and product. * Writing tests that cover complex and edge cases. * Demonstrated ability to build trust and foster relationships across teams and stakeholders, with a focus on valuing diverse perspectives and proficiently managing expectations. * Cloud-native mindset and solid understanding of DevOps principles in a cloud environment. * Proven decision-making abilities with an intentional, data-driven approach to solving complex technical challenges and delivering results. * Strong customer focus and systems-thinking mindset, with a commitment to personal accountability, self-awareness, and continuous improvement in support of high-quality outcomes. **Preferred technical and professional experience** * You have skills or interest in practical/applied cryptographic algorithms, or experience with Hardware Security Modules (HSMs), Public Key Infrastructure (PKI), Advanced Data Protection (ADP) and Encryption as a Service * You have experience using HashiCorp products (Terraform, Packer, Waypoint, Nomad, Vault, Boundary, Consul). * Emerging experience in mentoring team members, helping to enhance their problem-solving, critical thinking, and planning skills. 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** At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. About the team - Engineering at HashiCorp On the HashiCorp engineering team, we build the Infrastructure Cloud which allows enterprises to take a unified approach to Infrastructure and Security Lifecycle Management: [1] Infrastructure Lifecycle Management: Build / Deploy / Manage * [2] Terraform allows you to use infrastructure as code to provision and manage any infrastructure across your organization. * [3] Packer standardizes image workflows across cloud providers, allowing teams to build, govern and manage any image for any cloud. * [4] Waypoint makes infrastructure easily accessible at scale, enabling platform teams to deliver golden patterns and workflows with an internal developer platform. * [5] Nomad brings modern application scheduling to any type of software, allowing you to manage containers, binaries and VMs efficiently in the cloud, on-premises and across edge environments. [6] Security Lifecycle Management: Protect / Inspect / Connect * [7] Vault Radar is an automated security product that continuously detects and identifies unmanaged secrets, and personally identifiable information (PII) within code to help teams remediate risks. * [8] Vault provides organizations with identity-based security to automatically authenticate and authorize access to secrets and other sensitive data. * [9] Boundary standardizes secure remote access across dynamic environments, allowing organizations to connect users and manage access with identity-based security controls. * [10] Consul standardizes service networking, allowing you to discover and securely connect any service across any runtime with identity-based service networking. We deliver the Infrastructure Cloud through an enterprise-grade unified SaaS platform, [11] HCP, as well as to enterprises through self-managed/on-premises options. Across product engineering and platform engineering teams, we are looking for great engineers to join us in developing the Infrastructure Cloud! References Visible links 1. ********************************************************************************** 2. ******************************************** 3. ***************************************** 4. ******************************************* 5. **************************************** 6. **************************************************************************** 7. **************************************************** 8. **************************************** 9. ******************************************* 10. ***************************************** 11. *********************************** **Your role and responsibilities** We're looking for Mid-Level Engineers with a deep backend focus to join our team. In this role, you can expect to: * Design, prototype and implement features and tools while ensuring stability and usability. * Collaborate closely with Product Design and Product Management partners, as well as engineers on your team and others. * Follow through on assigned tasks to build and ship medium-sized features, managing task expectations as needed. * Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements. * Apply independent judgment within team practices to determine appropriate actions and solutions. * Address unforeseen challenges, making recommendations to keep tasks on track. * Debug and resolve medium-level bugs in products or solutions to maintain quality. * Review technical contributions for quality and consistency, collaborating with stakeholders to resolve issues and recommend technical or architectural changes. * Suggest improvements to current processes and propose solutions to enhance the efficiency of architectural components and design. * Participate in on-call rotations, pairing, and team planning to support product needs. * Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements. **Required technical and professional expertise** * Hands on experience as an engineer working in Golang. * Hands on experience developing with modern programming languages and frameworks. * Hands on experience working with distributed systems, particularly cloud providers such as AWS, Azure, or GCP, with a focus on scalability, resilience, and security. * Experience in reviewing and refactoring code and making suggestions that improve the codebase and product. * Writing tests that cover complex and edge cases. * Demonstrated ability to build trust and foster relationships across teams and stakeholders, with a focus on valuing diverse perspectives and proficiently managing expectations. * Cloud-native mindset and solid understanding of DevOps principles in a cloud environment. * Proven decision-making abilities with an intentional, data-driven approach to solving complex technical challenges and delivering results. * Strong customer focus and systems-thinking mindset, with a commitment to personal accountability, self-awareness, and continuous improvement in support of high-quality outcomes. **Preferred technical and professional experience** * You have skills or interest in practical/applied cryptographic algorithms, or experience with Hardware Security Modules (HSMs), Public Key Infrastructure (PKI), Advanced Data Protection (ADP) and Encryption as a Service * You have experience using HashiCorp products (Terraform, Packer, Waypoint, Nomad, Vault, Boundary, Consul). * Emerging experience in mentoring team members, helping to enhance their problem-solving, critical thinking, and planning skills. 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** At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. About the team - Engineering at HashiCorp On the HashiCorp engineering team, we build the Infrastructure Cloud which allows enterprises to take a unified approach to Infrastructure and Security Lifecycle Management: [1] Infrastructure Lifecycle Management: Build / Deploy / Manage * [2] Terraform allows you to use infrastructure as code to provision and manage any infrastructure across your organization. * [3] Packer standardizes image workflows across cloud providers, allowing teams to build, govern and manage any image for any cloud. * [4] Waypoint makes infrastructure easily accessible at scale, enabling platform teams to deliver golden patterns and workflows with an internal developer platform. * [5] Nomad brings modern application scheduling to any type of software, allowing you to manage containers, binaries and VMs efficiently in the cloud, on-premises and across edge environments. [6] Security Lifecycle Management: Protect / Inspect / Connect * [7] Vault Radar is an automated security product that continuously detects and identifies unmanaged secrets, and personally identifiable information (PII) within code to help teams remediate risks. * [8] Vault provides organizations with identity-based security to automatically authenticate and authorize access to secrets and other sensitive data. * [9] Boundary standardizes secure remote access across dynamic environments, allowing organizations to connect users and manage access with identity-based security controls. * [10] Consul standardizes service networking, allowing you to discover and securely connect any service across any runtime with identity-based service networking. We deliver the Infrastructure Cloud through an enterprise-grade unified SaaS platform, [11] HCP, as well as to enterprises through self-managed/on-premises options. Across product engineering and platform engineering teams, we are looking for great engineers to join us in developing the Infrastructure Cloud! References Visible links 1. ********************************************************************************** 2. ******************************************** 3. ***************************************** 4. ******************************************* 5. **************************************** 6. **************************************************************************** 7. **************************************************** 8. **************************************** 9. ******************************************* 10. ***************************************** 11. *********************************** **Your role and responsibilities** We're looking for Mid-Level Engineers with a deep backend focus to join our team. In this role, you can expect to: * Design, prototype and implement features and tools while ensuring stability and usability. * Collaborate closely with Product Design and Product Management partners, as well as engineers on your team and others. * Follow through on assigned tasks to build and ship medium-sized features, managing task expectations as needed. * Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements. * Apply independent judgment within team practices to determine appropriate actions and solutions. * Address unforeseen challenges, making recommendations to keep tasks on track. * Debug and resolve medium-level bugs in products or solutions to maintain quality. * Review technical contributions for quality and consistency, collaborating with stakeholders to resolve issues and recommend technical or architectural changes. * Suggest improvements to current processes and propose solutions to enhance the efficiency of architectural components and design. * Participate in on-call rotations, pairing, and team planning to support product needs. * Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements. **Required technical and professional expertise** * Hands on experience as an engineer working in Golang. * Hands on experience developing with modern programming languages and frameworks. * Hands on experience working with distributed systems, particularly cloud providers such as AWS, Azure, or GCP, with a focus on scalability, resilience, and security. * Experience in reviewing and refactoring code and making suggestions that improve the codebase and product. * Writing tests that cover complex and edge cases. * Demonstrated ability to build trust and foster relationships across teams and stakeholders, with a focus on valuing diverse perspectives and proficiently managing expectations. * Cloud-native mindset and solid understanding of DevOps principles in a cloud environment. * Proven decision-making abilities with an intentional, data-driven approach to solving complex technical challenges and delivering results. * Strong customer focus and systems-thinking mindset, with a commitment to personal accountability, self-awareness, and continuous improvement in support of high-quality outcomes. **Preferred technical and professional experience** * You have skills or interest in practical/applied cryptographic algorithms, or experience with Hardware Security Modules (HSMs), Public Key Infrastructure (PKI), Advanced Data Protection (ADP) and Encryption as a Service * You have experience using HashiCorp products (Terraform, Packer, Waypoint, Nomad, Vault, Boundary, Consul). * Emerging experience in mentoring team members, helping to enhance their problem-solving, critical thinking, and planning skills. 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.

Job Details:Job Description: The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful. Who we Are: Intel's Information Security organization supports the unique IT information Security and Compliance requirements for Intel Federal projects that deliver products and/or services to the US Government. As part of this team, you will help us grow our secure solution suite to meet U.S. Government requirements. Intel's Information Security organization is seeking a full-time Identity Engineer experienced with SailPoint IdentityIQ to add to our team. The focus of this job is Identity Governance and Administration (IGA) which is part of the Identity and Access Management (IAM) subject area. Primary duties and responsibilities: Installing, securing, upgrading, and patching the SailPoint IdentityIQ solution. Development and configuration of various SailPoint IIQ modules (e.g. Compliance Manager, Lifecycle Manager, Connectors). Integration of IdentityIQ with Microsoft Active Directory, including design and implementation. Designing and deploying custom forms, approval workflows, connectors in SailPoint which will be used for access requests, access certifications, and provisioning. Automating processes in the SailPoint toolset using PowerShell scripting. Maintaining Infrastructure including Windows servers and SQL Server databases. Consulting with customers to create IdentityIQ role and entitlement models that meet security requirements. Coordinating security assessments to identify security control failures and recommend corrective actions. Assisting with architecting identity security products in secured enclaves, including product testing, validation, and selection. Assisting with design and long-term roadmap planning to satisfy future scalability requirements in secure enclaves. Business travel is required as needed. Ability to thrive in dynamic and fast-paced environments. Excellent communication, leadership, strong troubleshooting, debugging, and analytical skills. #cj Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences. Minimum Qualifications: US Citizenship required. Ability to obtain and maintain a US Government Security Clearance. Bachelor's degree in Systems Engineering, Cyber Security Engineering, Computer Engineering, Computer Science, Information Systems, or similar discipline and 4+ years of work-related experience. 1+ years' experience in designing and implementing custom SailPoint solutions. 1+ years' experience in implementing and supporting SailPoint IIQ modules like Compliance Manager, Lifecycle Manager, Integration modules, in both production and nonproduction environments. Preferred Qualifications: Active US Government Top Secret (TS) Security Clearance with the ability to obtain and maintain SCI access. Experience with DoD security implementation (e.g. STIG) and security tools for managing the environment. Experience with business continuity and disaster recovery. Experience configuring Roles and Entitlements in SailPoint IdentityIQ. Experience developing, implementing or supporting APIs (RESTful services preferred) Experience integrating SailPoint IdentityIQ with Active Directory. Experience with scripting in the Windows environment, preferably in PowerShell. Experience with Microsoft SQL Server 2019/2022. Experience with Web Tech: HTML, JavaScript, JSP, XML, XSL, and DTD. Job Type:Experienced HireShift:Shift 1 (United States of America) Primary Location: US, California, Santa ClaraAdditional Locations:US, Oregon, HillsboroBusiness group:Join Intel's Finance Group, a key player in driving strategic business decisions that enhance shareholder value. Our team is dedicated to facilitating change and improvement across finance and the operations we support. As strategic partners, we lead acquisitions and inorganic growth initiatives, managing transactions from ideation to completion while serving as trusted advisors to executive leadership. Additionally, we enhance employee experiences by maintaining Intel sites globally and advancing environmental sustainability efforts.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $105,300.00-175,210.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. AI software framework group is responsible for development of all the AI Frameworks to enable Intel's AI HW roadmap. This group focus on developing AI software from kernel (such as matrix multiplication) to higher level frameworks (such as Inference engine). This group works closely with other Intel groups (such as lower-level stacks close to operating systems and higher-level stacks for cluster level scheduling) so that End to End software stack is developed for Intel hardware roadmap. This position, you will be responsible for prototyping, developing of GPU kernel, integrating to AI frameworks, and optimizing them for Intel hardware platforms. Responsibilities include: + Develops complex code with C++ templates for optimal GPU kernels. + Understand PyTorch or Similar framework's usage of AI kernels and design the interfaces. + Interacts with partner teams to understand the requirements and convert to tangible action items for development. + Develop architectural documents for setting direction to larger team. **Behavioral traits that we are looking for:** + Excellent written and oral communication skills including technical details and concepts. + Willingness to mentor engineers and solve complex problems with clear direction of requirements. + Willingness adhering to specific timelines and delivering quality SW products. **Qualifications:** Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. **Minimum Qualifications:** + Bachelor's degree and 4+ years or Master's degree and 3+ years' experience or Ph.D and 1+ years of experience in Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related technical disciplines. + 3+ years of experience in complex C++ template-based development such as meta level programming. + 2+ years' experience with GPU architecture. + 2+ years' experience SYCL / CUDA knowledge. **How to stand out from other candidates (Preferred Qualifications):** + Experience with GEMM kernels. + AI kernel developments (such as flash attention, MoE), + Understanding of overall AI SW stack, + Understanding of PyTorch architecture. **Benefits at Intel** Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers (*********************************** for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion. **Job Type:** Experienced Hire **Shift:** Shift 1 (United States of America) **Primary Location:** US, Oregon, Hillsboro **Additional Locations:** US, Arizona, Phoenix, US, California, Santa Clara **Business group:** As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks. **Posting Statement:** All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. **Position of Trust** N/A **Benefits** We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel (*********************************************************************************** . Annual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. **Work Model for this Role** This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. AI software framework group is responsible for development of all the AI Frameworks to enable Intel's AI HW roadmap. This group focus on developing AI software from kernel (such as matrix multiplication) to higher level frameworks (such as Inference engine). This group works closely with other Intel groups (such as lower-level stacks close to operating systems and higher-level stacks for cluster level scheduling) so that End to End software stack is developed for Intel hardware roadmap. This position, you will be responsible for prototyping, developing of GPU kernel, integrating to AI frameworks, and optimizing them for Intel hardware platforms. Responsibilities include: * Develops complex code with C++ templates for optimal GPU kernels. * Understand PyTorch or Similar framework's usage of AI kernels and design the interfaces. * Interacts with partner teams to understand the requirements and convert to tangible action items for development. * Develop architectural documents for setting direction to larger team. Behavioral traits that we are looking for: * Excellent written and oral communication skills including technical details and concepts. * Willingness to mentor engineers and solve complex problems with clear direction of requirements. * Willingness adhering to specific timelines and delivering quality SW products. Qualifications: Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Minimum Qualifications: * Bachelor's degree and 4+ years or Master's degree and 3+ years' experience or Ph.D and 1+ years of experience in Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related technical disciplines. * 3+ years of experience in complex C++ template-based development such as meta level programming. * 2+ years' experience with GPU architecture. * 2+ years' experience SYCL / CUDA knowledge. How to stand out from other candidates (Preferred Qualifications): * Experience with GEMM kernels. * AI kernel developments (such as flash attention, MoE), * Understanding of overall AI SW stack, * Understanding of PyTorch architecture. Benefits at Intel Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix, US, California, Santa Clara Business group: As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. AI software framework group is responsible for development of all the AI Frameworks to enable Intel's AI HW roadmap. This group focus on developing AI software from kernel (such as matrix multiplication) to higher level frameworks (such as Inference engine). This group works closely with other Intel groups (such as lower-level stacks close to operating systems and higher-level stacks for cluster level scheduling) so that End to End software stack is developed for Intel hardware roadmap. This position, you will be responsible for prototyping, developing of GPU kernel, integrating to AI frameworks, and optimizing them for Intel hardware platforms. Responsibilities include: * Develops complex code with C++ templates for optimal GPU kernels. * Understand PyTorch or Similar framework's usage of AI kernels and design the interfaces. * Interacts with partner teams to understand the requirements and convert to tangible action items for development. * Develop architectural documents for setting direction to larger team. Behavioral traits that we are looking for: * Excellent written and oral communication skills including technical details and concepts. * Willingness to mentor engineers and solve complex problems with clear direction of requirements. * Willingness adhering to specific timelines and delivering quality SW products. Qualifications: Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Minimum Qualifications: * Bachelor's degree and 4+ years or Master's degree and 3+ years' experience or Ph.D and 1+ years of experience in Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related technical disciplines. * 3+ years of experience in complex C++ template-based development such as meta level programming. * 2+ years' experience with GPU architecture. * 2+ years' experience SYCL / CUDA knowledge. How to stand out from other candidates (Preferred Qualifications): * Experience with GEMM kernels. * AI kernel developments (such as flash attention, MoE), * Understanding of overall AI SW stack, * Understanding of PyTorch architecture. Benefits at Intel Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix, US, California, Santa Clara Business group: As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Job Details:Job Description: Our team focuses on analyzing and optimizing AI workloads for both current and next-generation GPU hardware. We work closely with the OpenVINO framework, developing new features and graph-level optimizations to push performance toward theoretical hardware limits. In parallel, we collaborate in a pre-silicon environment with hardware architects and simulation teams to validate upcoming GPU designs and provide early performance insights. We are seeking a highly motivated AI Algorithm Engineer to join our team. In this role, you will analyze and optimize AI model performance on Windows and Linux platforms, leverage GPU hardware to accelerate compute, and work cross-functionally with software and hardware architecture teams. Your work will directly influence GPU performance, software capabilities, and future product directions. Key Responsibilities: Analyze, profile, and optimize AI models with a focus on GPU performance and efficiency using both pre- and post-silicon tools. Develop and maintain components of the AI software stack in Python and C++. Implement, tune, and optimize GPU kernels using parallel programming languages and frameworks. Produce clear and comprehensive documentation for codebases, performance findings, and analysis workflows. We would like to see: Excellent problem-solving abilities and strong attention to detail. Qualifications: Qualifications Minimum Qualifications: Bachelor's degree in CS, CE, mathematics, Physics, or any other related filed. 5+ years of experience in/With: Programming skills in C++ and Python. Hands-on experience with major AI frameworks (e.g., PyTorch, TensorFlow, OpenVINO) and understanding of mapping neural network architectures onto hardware-accelerated inference pipelines. Practical, hands-on experience in performance analysis across AI hardware accelerators, GPUs, or heterogeneous computing architectures. Preferred Qualifications: Prior experience in kernel programming for GPUs or similar architectures (CUDA, OpenCL, threading, multiprocessing). Expertise in pre-silicon GPU performance simulation, debugging performance bottlenecks, and analyzing architectural behavior. Experience with version control systems such as Git and collaborative development workflows. Job Type:Experienced HireShift:Shift 1 (United States of America) Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, FolsomBusiness group:The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $170,500.00-240,710.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. AI software framework group is responsible for development of all the AI Frameworks to enable Intel's AI HW roadmap. This group focus on developing AI software from kernel (such as matrix multiplication) to higher level frameworks (such as Inference engine). This group works closely with other Intel groups (such as lower-level stacks close to operating systems and higher-level stacks for cluster level scheduling) so that End to End software stack is developed for Intel hardware roadmap. This position, you will be responsible for prototyping, developing of GPU kernel, integrating to AI frameworks, and optimizing them for Intel hardware platforms. Responsibilities include: + Develops complex code with C++ templates for optimal GPU kernels. + Understand PyTorch or Similar framework's usage of AI kernels and design the interfaces. + Interacts with partner teams to understand the requirements and convert to tangible action items for development. + Develop architectural documents for setting direction to larger team. **Behavioral traits that we are looking for:** + Excellent written and oral communication skills including technical details and concepts. + Willingness to mentor engineers and solve complex problems with clear direction of requirements. + Willingness adhering to specific timelines and delivering quality SW products. **Qualifications:** Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. **Minimum Qualifications:** + Bachelor's degree and 4+ years or Master's degree and 3+ years' experience or Ph.D and 1+ years of experience in Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related technical disciplines. + 3+ years of experience in complex C++ template-based development such as meta level programming. + 2+ years' experience with GPU architecture. + 2+ years' experience SYCL / CUDA knowledge. **How to stand out from other candidates (Preferred Qualifications):** + Experience with GEMM kernels. + AI kernel developments (such as flash attention, MoE), + Understanding of overall AI SW stack, + Understanding of PyTorch architecture. **Benefits at Intel** Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers (*********************************** for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion. **Job Type:** Experienced Hire **Shift:** Shift 1 (United States of America) **Primary Location:** US, Oregon, Hillsboro **Additional Locations:** US, Arizona, Phoenix, US, California, Santa Clara **Business group:** As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks. **Posting Statement:** All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. **Position of Trust** N/A **Benefits** We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel (*********************************************************************************** . Annual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. **Work Model for this Role** This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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