Technical Solutions Architect jobs at Intel

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role. Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge. Join us in this exciting endeavor! What you'll be doing: Collaborating closely with customers to improve their workload performance and reduce infrastructure costs. Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed. Developing and debugging software for NVIDIA and open-source AI frameworks and libraries. Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback. What we need to see: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience. 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs. Experience with profiling and optimizing model training/inference performance on GPUs. Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels. Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations. A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing. Self-starter with a passion for growth, continuous learning, and sharing insights with the team. Ways to stand out from the crowd: Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cu DNN/NCCL). Experience working with enterprise developers and strong customer-facing skills. Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments. Experience with large-scale production data pipelines and AI model training/deployment. Creative problem-solving skills for debugging and resolving complex issues. We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences. We are open to remote work. We look forward to having you join our team! Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family: *********************** Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 14, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features. Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions Build custom product demonstrations and POCs for solutions that address critical business needs of our customers Analyze and debug compute/network configuration, performance issues to deliver performant clusters What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 8+ years of Systems/Solution Engineering (or similar Engineering roles) experience System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes Effective time management and capable of balancing multiple tasks Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc Ways to stand out from the crowd: External customer facing background Experience with bringup and deployment of large clusters Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions Familiarity with virtualization technology concepts We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 23, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role. Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge. Join us in this exciting endeavor! What you'll be doing: Collaborating closely with customers to improve their workload performance and reduce infrastructure costs. Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed. Developing and debugging software for NVIDIA and open-source AI frameworks and libraries. Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback. What we need to see: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience. 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs. Experience with profiling and optimizing model training/inference performance on GPUs. Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels. Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations. A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing. Self-starter with a passion for growth, continuous learning, and sharing insights with the team. Ways to stand out from the crowd: Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cu DNN/NCCL). Experience working with enterprise developers and strong customer-facing skills. Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments. Experience with large-scale production data pipelines and AI model training/deployment. Creative problem-solving skills for debugging and resolving complex issues. We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences. We are open to remote work. We look forward to having you join our team! Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family: *********************** Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The application window is expected to close on: December 23rd, 2025. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. **Meet the Team** The Splunk Observability Solutions Architects team in the Americas is a dynamic and critical group responsible for driving pre-sales efforts, ensuring customer success, and fostering innovation in the Observability space. Comprising over 100 Solutions Engineers, led by dedicated Managers and Directors, this team collaborates closely with Sales Engineering and Leadership to strategize on market opportunities and accelerate the adoption of cutting-edge Splunk Observability solutions. Join a team where technical expertise meets strategic vision, all focused on delivering exceptional customer outcomes for Splunk. **Your Impact** As the Director of Observability Solutions Architects at Splunk, you will play a pivotal 2nd & 3rd line leadership role, directly influencing revenue targets and enhancing customer experience across the Americas and Public Sector. You will lead a top-tier technical team, drive Splunk product direction, and cultivate a collaborative Solutions Architect community. Your leadership, growth mindset, and customer-first approach will be essential in fostering durable customer relationships and ensuring the successful adoption of Splunk's Observability product suite. You will empower your team to architect, influence, and sell cross-portfolio Splunk solutions that align with customer business outcomes across various vertical markets. **Responsibilities** + Lead a team of 100+ Solutions Engineers with first and second line Managers and Directors who oversee our Solutions Architects for Observability in the Americas. + Engage directly with Solutions Engineering and Sales Leadership to strategize on their opportunities and engage in pre-sales and solution adoption activities for Splunk's Observability product set. + Work closely with cross-functional leaders and teams to develop strategic and technical territory and account plans, along with technical tools/programs to support/measure and mobilize sales campaigns and initiatives to drive growth. + As a team leader, ensure we are taking the necessary actions to attract and retain top talent, further develop a rich and diverse workforce, and manage performance at all levels. + Ensure that your team is enabled to architect, influence and sell cross-portfolio Splunk product solutions aligned to driving customer business outcomes across various vertical markets. + Work collaboratively with all cross-functional teams to ensure the right strategies, products and services succeed in the market. + Interact with customers, prospects and industry groups to understand their business challenges and desired outcomes. + Develop a close working relationship with Customer Success, Professional Services and Education to ensure alignment between pre and post sales activities. **Minimum Qualifications** + Minimum of 3 years as a second line leader. + 8+ years of Pre-Sales Solutions Architect leadership experience + Experience working in the Observability, DevOps and APM market. **Preferred Qualifications** + Demonstrated ability to foster a collaborative Solutions Architect community. + Proven track record of driving Splunk product direction and nurturing customer relationships. + Excellent communication and interpersonal skills for interacting with customers, prospects, and internal teams. + A strong growth mindset and a customer-first approach. + Experience in developing strategic and technical territory plans for Splunk solutions. + Strong experience and ability to recognize and lead the business strategy in the market. + Candidates located near a major metropolitan area preferred. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $372,600.00 to $470,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $372,600.00 - $540,900.00 Non-Metro New York state & Washington state: $355,700.00 - $516,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

The application window is expected to close on: 11/30/2025. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. **Meet the Team** Solutions Engineering is the one-stop shop for all Cross pin solutions validation, full-stack Cisco validated profile publication, and high-touch customer engagement. **Your Impact** Solution test of Controller and IOS XE based platform releases and test automation. This role focuses on customer engagement, accelerating time-to-value for key customers using technologies like Catalyst Center, Catalyst 9000 series Switches, Wireless devices, and ISE. + Facilitate deployment and adoption success for customers, providing proactive support for designs and MOPs. + Drive multi-functional design discussions and internal BU requirements to generate integrated Cisco outcomes for end customers. + Deliver demos and presentations on existing and upcoming features. + Align customers to best practice guidance from Cisco validated profiles and deployment guides. + Conduct test case validation, bug validation on key SMUs, and proof-of-concept testing to solve business problems for high-touch customers. **Minimum Qualifications:** + Bachelors in Engineering and 10 years of Experience or Masters plus 6 years of Experience in Data networking in Campus/Data center/Service provider space. + Experience in Routing, Switching, and Wireless technologies. + Skilled in Python and REST API based automation of Controller-based platforms, with a strong test mentality. + Very strong skills in Campus or Data center based network architecture and requirements. + Experience working with various departments (marketing, development, sales) and customers **Preferred Qualifications:** + Excellent presentation and demo skills. + Experience in technical leadership. + Prior experience of having done presentations in industry conferences. + Passionate about next-gen evolution including AI and Agentic AI to accelerate customer-oriented deliverables. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $168,800.00 to $241,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $168,800.00 - $277,400.00 Non-Metro New York state & Washington state: $148,800.00 - $248,200.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

We are seeking driven, high-energy, networking engineers to join the Solutions Architecture team in building the world's largest and fastest AI/HPC systems using NVIDIA Networking. This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement, and troubleshoot large-scale networking projects with customers and internal teams. What you'll be doing: Introduce and integrate NVIDIA networking products with Hyperscalers Build customers' trust and understand their unique needs Address sophisticated and obvious customer issues alongside engineering and support teams Conduct technical meetings for project/product details, feature discussions, and debugging sessions Partner with Sales and Product teams to identify and secure business opportunities, analyze network requirements, and designs next-gen AI platforms Develop Proof of Concept (PoC) solutions for critical business needs Prepare and deliver technical presentations and workshops to customers What we need to see: Bachelor's degree or higher in Electrical/Computer Engineering or related field (or equivalent experience) 12+ years of Solutions Engineering or similar engineering experience Passion to enhance customer experience Proficiency in networking fundamentals, including NICs, server systems, data center architecture, switching, routing, networking protocols, and data center architecture Comprehensive knowledge of computer system architecture, Linux, PCIe devices as it relates to networking performance Experience in configuring, testing, and troubleshooting in networking environments Ability to work independently and manage multiple priorities Excellent communication skills to act as a trusted advisor to customers Ways to stand out from the crowd: Experience working with custom network OS (such as SONiC, FBOSS, or similar) Experience working with or calling on Cloud Service Providers (e.g., Meta) Exemplify a unique combination of strong interpersonal skills and technical proficiency Showcase in-depth knowledge of RDMA, including performance testing and AI benchmarking Background with NVIDIA hardware and software NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 25, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Sr. Solutions Architect to help us pursue opportunities in commercial integration of GPU acceleration for 6G release tools, Aerial framework, Aerial Omniverse Digital Twin (AODT), and Aerial L1 and L2+ SDK. This role requires becoming a trusted technical advisor and leader to our Ecosystem collaborators and clients. Our clients believe deep learning, data science, and artificial intelligence are a new computing revolution with the potential to transform the entire telecommunications domain. A Solutions Architect is the bridge of technical expertise between NVIDIA and our partners/customers. The duties will vary from driving internal validation and benchmarking of our NVIDIA Aerial framework and AODT with reference applications, pipelines and toolkits to inventing proof-of-concept demonstrations to drive customer adoption. Dynamically engage with internal developers, scientific researchers, data scientists, IT and senior leaders is an important part of the Solutions Architect role, and will provide exposure to a range of partners and concerns. What you will be doing: Develop, improve, and support software for 5G networks Base Band Unit using the Aerial framework. Develop, and support network digital twins using the AODT tool set. Participate in architecture, design, and code reviews and provide feedback to Aerial SDK partners/customers. Engage with customer field trials and technical teams. Be hands on at lab with test equipment's, remote radio units and UEs. Educate customers on new NVIDIA technologies and platforms, and their potential applications in signal processing, radio access networks, etc. Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing white papers, blogs, and articles. Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and embedded GPU architectures for advanced applications. What we need to see: Experience developing PHY/MAC layer or base band unit (BBU) software in C/C++. Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec point of view. Familiar with network digital twin technology. Ability to switch between high-level systems view and low-level detail view of complex wireless systems. Comfortable using wireless lab equipment such as signal generators, network analyzers, power meters, etc. Exposure to CUDA/GPU programming. MS or PhD in Engineering, Mathematics, Physics, Computer Science, Telecommunications, or equivalent experience required. 8+ years of related industry experience in software development, systems engineering. Understanding of telecommunications radio device design and implementation in a regulated industry. Expertise in the telecommunications domain. Ways to stand out from the crowd: Background with radio access network systems or device design, telecommunications regulatory compliance, and environmental critical design processes. Experience working with modern application deployment practices including but not limited to Docker/Containers and Kubernetes. Experience with modern Deep Learning software architecture and frameworks. CUDA programming and optimization experience. Experience with NVIDIA Aerial SDK Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 6, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Solution Architect Engineer! NVIDIA's deep learning platforms have already made a major impact on the field and is broadly used across leading academic institutions, start-ups, and industry, including the world's largest Internet companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Solution Architect role is for a specialist in system design, networking and leader to our customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the industry. NVIDIA is searching for an extraordinary SA with a focus on system design for AI computing. Your primary responsibilities will be the customer technical engagement for NVIDIA GPU products for computing systems targeted at a wide range of deployments from the datacenter to the edge. You will be working cross-functionally with our organizations as well as ensuring a positive experience for external customers. What you'll be doing: Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to secure design wins. Actively establish the technical relationship with our customer's engineers, management, and architects at focus accounts. Identify customer architectures and key product requirements in the CSP/OEM AI market. Provide onsite support to solve problems in hardware and software, and deep learning inference. Lead the support of the product through the design-in phase all the way to the product end of life. Create technical solutions such as hardware & software demos and example system designs. Provide technical and sales training to the direct sales team and channel partners. Establish strong relationships and communication channels with internal teams. What we need to see: BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). 8+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role. Capable of working in a constantly evolving environment without losing focus. Ability to multitask effectively in a dynamic environment. Expert analytical and problem-solving skills. Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects. Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering. Ways to stand out from the crowd: ARM and NVIDIA GPU development Hands-on troubleshooting of Ethernet physical layer issues, including signal integrity and link training failures. Embedded Linux System, APIs and similar embedded OS knowledge. Experience working with OEMs in the industrial, military, and ruggedized computing space. CPU and PCIe Architecture knowledge Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 9, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA! What You Will Be Doing: Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions Analyzing performance and power efficiency of AI inference workloads on Kubernetes Some travel to conferences and customers may be required (20%) What We Need To See: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) 8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow Strong fundamentals in programming, optimizations, and software design, especially in Python Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments Excellent knowledge of the theory and practice of LLM and DL inference Excellent presentation, communication and collaboration skills Ways To Stand Out From The Crowd: Prior experience with DL training at scale, deploying or optimizing DL inference in production Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM, Dynamo, TensorRT, TensorRT-LLM Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design Familiarity with parallel programming and distributed computing platforms Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 6, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is currently seeking a Solutions Architect for High-Performance Databases! Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the top tier edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Solution Architecture Team invites you to consider this opportunity. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, revolutionized parallel computing, and ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human imagination and intelligence; join our team today! What you will be doing: In this role, you will research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications. Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures. Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA Influence partners (industry and academia) to push the bounds of data processing with NVIDIA's full product line What we need to see: Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience. 8+ years of experience. Programming fluency in C/C++ with a deep understanding of algorithms and software design. Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc. In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem. Domain expertise in high performance databases, ETL, data analytics and/or vector database. Good communication and organization skills, with a logical approach to problem solving, and prioritization skills. Ways to stand out from the crowd: Experience optimizing/implementing database operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark). Background with optimizing vector database index build and/or search. Experience profiling and optimizing CUDA kernels. Background with compression, storage systems, networking, and distributed computer architectures. Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ML/DL libraries has been highly optimized leveraging GPUs. Many of today's applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes. Take a look at some of the open-source projects that NVIDIA employees have worked on: RAPIDS cu DF, NVIDIA nvcomp, NVIDIA Distributed join, NVIDIA cu Collections . NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 26, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Interested in architecting innovative AI GPU platforms for data center and edge deployments at the world's top Retail, CPG, and QSR companies? We are looking for a Senior Solution Architect for the Retail Industry team with domain specific knowledge and experience in assisting customers in architecting their next-generation environments for deploying NVIDIA technologies. From data center to edge, on embedded systems, in servers, or in the cloud, this role is the opportunity to design system architectures to assist customers in solving their complex, business use cases. We need a passionate, hard-working, and creative individual to help us pursue major opportunities in retail industry with specific focus on NVIDIA's Enterprise Platforms, GPUs, networking, and software stacks with Open Source platform solutions (MLOps, DevOps, K8s, containers). This role requires becoming a trusted technical advisor and leader to our customers who believe that accelerated computing, deep learning, advanced data science, and artificial intelligence is the new computing revolution. What you'll be doing: You will be part of our North America Retail Solution Architecture Team working to drive NVIDIA technology adoption and secure design wins at key Fortune 100 customers in both Data Center, Edge and Cloud Deployments. Driving adoption of NVIDIA's Accelerated Compute Platforms which use key technologies like virtualization, Kubernetes, Docker, and Run:AI with focus on growing our customer's DevOps and MLOps capabilities by using NVIDIA's modern architectures, solutions and blueprints to deploy world-class computing platforms. Leading customer proof-of-concepts (PoCs) of next-gen platforms for deploying Retail Industry solutions to key use-cases. Support the business development team through the sales process for GPU/Network hardware/software products. Owning the technical relationship and enabling customer in building innovative solutions based on NVIDIA technologies. Partnering with NVIDIA Engineering, Product, Sales teams for assistance in developing solutions and providing customer feedback to enable development and growth of NVIDIA's products What we need to see: BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience) 8+ years delivering Enterprise Accelerated Computing (HPC, Deep Learning, Machine Learning) computing infrastructure. Demonstrate detailed industry knowledge of Retail with background in modern datacenters for enterprise computing architectures- Storage, Compute, and Software stacks. Exposure to GPU technology and GenAI software architectures. Direct experience architecting, managing, and supporting shared compute infrastructure software Experience working with enterprise developers and academic research community supporting computer vision, data analytics, or Deep Learning deployments Enjoy collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing Effective verbal/written communication, and technical presentation skills Self-starter with a passion for growth and an enthusiasm for continuous learning and sharing findings across the team Ways to stand out from the crowd: Experience architecting large-scale edge and compute clusters. Specialty skills in deploying large-scale GPU computing clusters to support AI workloads (Machine Learning, Deep Learning - Training and Inference) Experience with Containers, Kubernetes, or BCM for workload orchestration Knowledge of MLOps technologies such as Run:AI for large-scale deployments Able to think creatively to debug and solve complex problems Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 19, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to architect the future of agentic AI at scale. We Implement AI agents to transform employee productivity and accelerate business impact. As the AI Technical architect in Operations, you will design, evangelize, and implement the architectural foundations. You will guide the vision for codifying our decision logics, decision intelligence, AI agent design, build and deployment, orchestration, integration, security, and lifecycle management of AI agents, ensuring the AI Agents delivers value that are trusted, scalable, and innovative. This is a rare opportunity to define the AI agents for Supply Chain Operations inside one of the world's most advanced AI companies. If you thrive at the intersection of Systems architecture, AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI. What you will be doing: Define and architect AI agents for Supply Chain use cases, including frameworks for agent orchestration, multi-agent coordination, RAG, deployment, monitoring, and life cycle management. Be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade Agentic Supply Chain solutions Partner with Enterprise IT engineering, product, and research teams while evaluating LLMs, agentic frameworks, and NVIDIA's own NeMo technologies Ensure integration with enterprise IT and Operations data sources and Industry's best Agentic platforms with strong content security focus. Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions. Lead design reviews, develop technical documentation, and mentor engineers, data scientists and solution architects in principles of architecture and code development. Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents. Influence Supply Chain Operations adoption of the platform by partnering with stakeholders across IT, supply chain and serve as a reference adopter providing feedback to strengthen NVIDIA's ecosystem. What we need to see: Bachelor's degree in Computer Science or related field (or equivalent experience); Master's or PhD preferred. 12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering. Deep expertise in architecting large-scale distributed systems with a focus on reliability, performance, and security. Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks. Familiarity with large language models, RAG pipelines, orchestration frameworks (e.g., ReAct, LangChain, AutoGPT-like flows). Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services. Hands-on development of AI agents, frameworks, and tooling, including setting architectural and coding standards. Solid understanding of security, governance, and compliance for AI in enterprise contexts. Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships. Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences. Ways to stand out from the crowd: Hands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-prem environments. Prototyping skills in Python with ability to build proof-of-concept agent workflows. Experience with NVIDIA AI technologies such as NeMo, NeMo Guardrails, AIQ, or GPU-optimized inference stacks. Track record of publishing technical papers, architecture patterns, or thought leadership in AI systems. Knowledge of observability tools, telemetry dashboards, and evaluation frameworks for AI agent performance as well as experience solving real-world problems with AI in supply chain domain. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape the agentic AI at scale for NVIDIA's Supply Chain Operations, we want to hear from you. Apply today! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 19, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: Join our Data Center Platform Architecture Engineering team as a Lead Principal Power Architect, where you will influence the next generation of GPU platform power delivery. In this high-impact position, you will define end-to-end power architecture features with a focus on efficiency, scalability, and system-level performance. You will work closely with cross-functional partners across silicon, system, mechanical, and thermal engineering to bring innovative power architectures from concept to production. This team prioritizes continuous technical innovation, collaboration, and career development while delivering industry-leading technologies to market. THE PERSON: You are a strategic thinker with deep power electronics engineering expertise and a passion for solving complex architectural challenges. You excel in fast-paced, highly visible environments and bring a balanced mix of technical depth, analytical rigor, and cross-functional communication. You are proactive, detail-oriented, and skilled at driving clarity across ambiguous or complex technical problems. Your ability to model, prototype, debug, and influence system architecture makes you a key contributor to the platform's success. KEY RESPONSIBILITIES: * Architectural Definition & Modeling: Define and develop GPU end-to-end platform power delivery architecture features with emphasis on power efficiency. * Build advanced power and performance models to evaluate architectural and system-level trade-offs. * Technical Innovation: Drive innovation across architecture development, methodology enhancements, and cross-functional technical initiatives that advance platform capabilities. * Prototyping & Validation: Support the development of prototype proof-of-concepts. Analyze and resolve complex issues throughout the architectural and product development lifecycle. * System Debug: Lead debugging efforts during bring-up, validation, and production phases of SOC programs. * Cross-Functional Collaboration: Partner closely with System Architects, Silicon/ASIC Design, PCB Design, Mechanical Engineering, Thermal Engineering, and Validation teams to ensure alignment on power architecture goals and seamless integration. * Specification & Documentation: Develop clear system specifications, architecture documents, and implementation guidelines for engineering teams. PREFERRED EXPERIENCE: * Experience in GPU/CPU architecture with strong emphasis on power delivery and energy efficiency * Proficiency with high-power GPU/CPU architecture topologies (Buck, Boost, Buck-Boost, LLC, Full Bridge, Half-Bridge, etc.) * Strong understanding of modeling tools and methodologies (Simplis, Cadence, HSPICE) * Expertise in debug techniques and methodologies * Proficient with common lab equipment and hands-on board/platform-level debug, including delivery, sequencing, analysis, and optimization * Deep knowledge of system architecture, technical debug, and validation strategies * Experience with end-to-end power architecture definition in large-scale platforms * Familiarity with system-level co-design considerations (thermal management, mechanical constraints, signal integrity) * Strong analytical and problem-solving skills with exceptional attention to detail * Self-starter with the ability to independently drive initiatives to completion ACADEMIC CREDENTIALS: * Master's or Ph.D. in Electrical Engineering, with a focus on power electronics or power integrity (preferred) Location could also be in Austin, TX, Secaucus, NJ, Seattle or Bellevue, WA, or Longmont, CO This role is not eligible for visa sponsorship #LI-TL1 #HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

What you do at AMD changes everything At AMD, we push the boundaries of what is possible. We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies - building blocks for gaming, immersive platforms, and the data center. Developing great technology takes more than talent: it takes amazing people who understand collaboration, respect, and who will go the “extra mile” to achieve unthinkable results. It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world. If you have this type of passion, we invite you to take a look at the opportunities available to come join our team. Principal SoC Architect, Discrete GPU SoCs - 113062 The Role: AMD is looking for an outstanding technical contributor to help optimize performance of next-generation Discrete GPU SoCs. As a passionate and dedicated Performance Architect in the SOC Architecture Team, you will optimize SOC performance by identifying opportunities across all parts of system architecture, spanning the application and related frameworks, driver, GPU core, memory & I/O subsystems. You will use performance models for micro architecture trade-offs, collect and analyze performance profiling data and traces to isolate performance bottlenecks, and share the insights to help drive features into the next generation of GPUs. The ideal candidate is expected to be well informed on latest trends in GPU and CPU Systems, and be able to quickly ascertain, in a data-driven manner, how next generation GPUs and platforms should be engineered to support those needs. Key Responsibilities: SoC level Performance analysis for multiple SoCs in Discrete GPU product line. Has technical time horizon of generally 6 to 18 months. Explore and evaluate architectural design choices in Fabrics, Caches, and IPs in the SoC. Work closely with other HW and SW architects to understand the architecture, the workloads and to propose solutions to improve/enhance performance with given SoC/IP and markets. Architectural modeling (as needed), performance triage, deeper analysis, identifying bottlenecks and solutions for performance improvement. Proposing, communicating, and implementing solutions to issues. Participate in new workload definition and/or workload optimizations. Deep engagement with Performance modelling team for new features development, developing performance analysis plan in Architecture phase, analyzing results and model correlation. Work closely with Design and Performance Verification teams to set Performance KPIs, Performance Verification test plan reviews and triaging Performance issues identified by them. Work closely with Post-Si teams for correlation of Pre-Silicon models and assumptions, and support them for Performance validation issues. Position Requirements Exceptional foundation in systems architecture, cutting across CPU or GPU, memory, storage and I/O subsystems Experience in using Performance Modeling and Simulation Tools for CPUs, GPUs or SoC components at different abstraction levels (Functional, TLM or Cycle Accurate) Experience analyzing CPU, GPU or System-level Micro-Architectural features to identify performance bottlenecks within different workloads Experience with Performance monitoring tools such as Hardware performance counters and Visualization tools Excellent communication skills (verbal, written, and presentation) Exposure to GPU performance benchmarks and workloads are a plus Proficiency in Unix, C++, and Scripting languages such as Python is a plus More than 8 years relevant industry experience ACADEMIC CREDENTIALS: Bachelor, Master or PhD Degree, emphasis in Electrical or Computer Engineering, Computer Architecture, or Computer Science with SoC/IP performance studies. Requisition Number: 113062 Country: United States State: California City: Santa Clara Job Function: Design AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status. Please click here for more information.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The AMD Datacenter GPU team is seeking an experienced Director Solutions Architect to join our team focused on enabling large clusters for AI & HPC workloads. THE PERSON: The candidate will be a technical expert in datacenter infrastructure with deep knowledge of datacenter design, strong knowledge of compute (CPUs/GPUs), networking, and storage solutions, and experience partnering with customers to support RFP development. This role offers the opportunity to work at the cutting edge of AI & HPC infrastructure, solving complex technical challenges and helping customers implement transformative datacenter solutions at-scale. KEY RESPONSIBILITIES: * Lead customer technical discovery with data/ML, platform, and infrastructure stakeholders; map business goals to AI & HPC workloads and success metrics. * Assess current system state (GPUs/accelerators, storage, fabric, security) and identify gaps, risks, and define required POCs. * Shape reference architectures for large AI & HPC clusters (rack design, GPU topology, RoCE/InfiniBand, NVMe/parallel FS) aligned to customer constraints (power, cooling, space). * Create high-level design. * Partner with the business development and product teams to build ROI/TCO models. (CapEx/OpEx, $/token, $/inference) and craft the value story. * Support draft of technical sections of RFIs/RFPs; produce architecture diagrams, deployment plans, and implementation timelines. * Partner with program & engineering teams to define POC success criteria, test plans, and exit reports. * Collaborate with product management to foster product roadmap improvements. * Network design for high-throughput GPU clusters (scale-up / scale-out / OOB), cabling. * Storage architectures optimized for AI data pipelines. * Datacenter layout strategies / power /cooling. * Rack power delivery / mechanicals. PREFFERED EXPERIENCE: * Solid years of experience designing and implementing large-scale infrastructure solutions. * Strong understanding of datacenter networking and storage architectures. * Experience with GPU-accelerated computing environments. * Proven track record of creating technical documentation and reference architectures. * Excellent communication skills with the ability to explain complex technical concepts. * Experience working directly with customer technical teams. ACADEMIC CREDENTIALS: * Bachelor's degree or higher in Computer Science, Electrical Engineering or closely related field. LOCATION: * San Jose, CA #LI-EV1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE We are seeking a SoC Micro Architect to define and drive architecture for Adaptive SoC and FPGA platforms. This role focuses on hardware and software for configuration and control functions. You will work on Firmware and Hardware, develop SW-readable specifications, and create software models to enable seamless configuration and control across Adaptive SoCs. THE PERSON You are passionate about complex Adaptive SoC architecture and thrive in environments that require cross-domain expertise. You have deep technical knowledge in RTL , Firmware, and system-level modeling, combined with strong analytical skills. You excel at collaborating across hardware and software teams and can influence architecture decisions for next-generation adaptive silicon. KEY RESPONSIBILITIES * Define and develop Architecture for configuration and control functions across Adaptive SoC and FPGA platforms * Create SW-readable specifications for configuration/control features and ensure alignment with firmware and RTL implementation * Develop and maintain software models for system-level simulation and validation * Collaborate with hardware, firmware, and software teams to ensure cohesive integration * Drive performance, power, and area (PPA) optimization for configuration/control paths * Analyze trade-offs for scalability, reliability, and manufacturability across roadmap devices * Provide architectural guidance for boot/reset flows, power management, and system-level QoS * Influence strategies for security, safety, and lifecycle management in configuration/control domains PREFERRED EXPERIENCE * Strong background in SoC architecture including Processor Subsystems, FPGA, and AI/ML integration * Hands-on experience with firmware development, RTL design, and hardware/software co-design * RTL design experience specifically System Verilog * Expertise in creating SW-readable specifications and system-level models * Familiarity with AXI or similar on-chip protocols, low-power design techniques, and boot/reset flows * Proficiency in modeling and automation using Python, System-C, or similar languages * Firmware development for integration of embedded processor, C++ proficiency * Knowledge of design methodologies, advanced process technologies, and associated challenges * Proven track record in delivering architecture for adaptive SoCs, or similar complex platforms * ACADEMIC & EXPERIENCE REQUIREMENTS * BS/MS/PhD in Electrical or Computer Engineering LOCATION: San Jose, CA #LI-DW1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The Cloud Architect will be responsible for providing technical support to Engineering and Corporate organizations at AMD. This position will be required to support AMD's global cloud infrastructure in a dynamic, fast-paced environment. Furthermore, this person will be collaborating globally on efforts for various IT activities related to the AMD Engineering AI/GPU - Compute Environment, in accordance with AMD Worldwide IT strategies and objectives. THE PERSON: You're a highly motivated team player with a strong development background, problem solving mentality, excellent communication skills, ability to prioritize tasks along with willingness to learn and adapt. Excellent teamwork skills and capable of working independently. KEY RESPONSIBILITIES: * Design, develop, deploy, monitor, maintain, and evolve cloud-native resources, tools, services, reusable modules (infrastructure-as-code-practices) and frameworks to secure and automate provisioning of cloud infrastructure that empowers our users across Azure, AWS, GCP. * Provide customers with standards and best practices on how to deploy and consume cloud-based services. * Proactively seek opportunities to improve operational efficiency of teams and usage of cloud services. * Contribute to a strong team-culture and an atmosphere of cross-functional teamwork. * Work with internal customers in managing incident tickets to achieve operational excellence. * Work with global teams to provide support and complete IT projects. * Create secure hybrid deployments of virtual machines, and PaaS solutions in Azure, AWS, GCP. * Work with Project teams to understand and accommodate application architecture and the App's specific requirements for Azure, AWS, and GCP. * Collaborate with other engineers and stakeholders to share knowledge and build expertise for IaaS, PaaS, and Saas deployment. * Collaborate with onshore and offshore resources. * Implementing and automating security controls, governance processes, and compliance validation by closely partnering with the Security Team to incorporate respective requirements and best practices to keep our Cloud Env safe and secure. * Applies experience in migrating on-premises applications and workloads to Azure, AWS, GCP using cloud technologies and providing support. * Drives identity (IAM), access, and configuration management for cloud native tools. * Responsible for the Recovery and Continuity process for cloud environments. PREFERRED EXPERIENCE: Cloud Systems Engineer general experience of various CSPs fundamentals with: * Terraform, YAML, Jenkins, GitHub actions. * Python, Golang, Shell, Java/J2EE, NodeJS, ReactJS, HTML5, PyTorch * Able to build and support a full CI/CD pipeline to support consistent code deployment. * Preferred understanding of AI framework * Managing GPU clusters optimizing GPU-based services/tools/software * Experience with Container technologies (GKE, EKS, ECS, Docker, Kubernetes) is desirable. * Understanding CHANGE Management/Release Process * Strong analytical and problem-solving skills. * Strong understanding of Agile/Scrum methodologies. * Strong written and verbal communication skills. Ability to effectively communicate technical issues and solutions to peers and external vendors. * Strong active listening and consensus-building skills and passionate about learning and sharing knowledge with others. * Infrastructure automation like Ansible, Terraform, or Cloud Formation, Deployment Mgr., and Resource Mgr. * Designing, developing, and implementing solutions that improve efficiency and reduce costs through Kubernetes/containers, virtualization, functions, and automation. * Experiences in building and managing complex cloud environments in Azure, AWS, GCP including security measures for encryption, authorization, and protocols. * Monitoring system performance, conducting capacity planning, identifying trends, and providing recommendations to improve service levels via automation. * Working closely with software development teams to troubleshoot and resolve issues. * Understand cloud networking (VPCs), Load balancers, WAFs and CDNs * Experience deploying, managing, administering, and migrating Infrastructure platforms in a Hybrid environment. * Strong understanding of different deployment resource types and when to deploy each type (IaaS, PaaS, SaaS). * Experience with Cloud native monitoring tools and also Nagios, ELK stack, Kibana/Prometheus. * Proactive and empathetic mindset - you love to roll up your sleeves to fix problems for our customers. * Ability to juggle multiple projects and priorities and re-prioritize as necessary to align with current business. * Strong organizational ability. ACADEMIC CREDENTIALS: * Bachelor's degree in Computer Science, Engineering, or a related field. LOCATION: San Jose, CA #LI-MF2 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

This role serves as a primary technical interface between CEG, Go-To-Market, and our customers, translating complex system-level requirements into winning custom silicon and ASIC solutions. Will work closely with key custom silicon and ASIC customers to develop and drive end-to-end product solutions that both delight the customer and drive business growth. Includes providing proof of concept solutions for proposing design alternatives that meet performance, power, area, timing, and thermal requirements. Review, challenge, and influence cross functional teams, roadmaps, and technology. Will drive technology benchmarking and key metrics to drive pre-silicon modeling for accuracy and best in class proposals that incorporate unit cost and PPA optimizations. Combines deep technical expertise with customer relationship management to drive revenue growth across wireless, networking, data center, and AI market segments. Key Responsibilities * Serve as primary technical point of contact for strategic customers * Conduct technical discovery sessions to understand customer system-level requirements * Analyze customer use cases across AI, wireless, networking, and data center applications * Translate business requirements into technical specifications and solution architectures * Design and propose comprehensive silicon solutions that meet customer performance, power, and cost targets * Package integrated solutions spanning AI accelerators to radio frequency applications * Develop compelling technical proposals and presentations for customer engagements * Collaborate with sales teams to create winning competitive positioning * Provide expertise in System-on-Chip (SoC) design methodologies and best practices * Guide technology node selection based on performance, power, and cost optimization * Conduct technology node benchmarking and competitive analysis * Lead cross-functional design teams through solution development lifecycle * Drive project deliverables, timelines, and milestone tracking * Coordinate IP selection and integration requirements with internal and external teams * Ensure alignment between customer expectations and engineering capabilities * Drive design reviews and technical risk mitigation strategies Required Skills/Experience * Experience in multiple domains of SoC design - backend, frontend, test, and packaging. * Experience in leading edge technology nodes * Strong understanding of design trade-offs - PPA, Cost, Technology Node, IP requirements * Excellent communication and presentation skills Preferred Skills/Experience * Experience with AI/ML accelerator architectures and requirements * Experience leading high performance teams * Project management experience * Previous experience in foundry and/or ASIC vendor environments Qualifications: * Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or related field * 10+ Years of relevant experience in semiconductor SoC design Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Texas, Austin Additional Locations: US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara, US, Oregon, Hillsboro Business group: Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society. 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 This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter. Benefits: We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: ********************************************************************************** Annual Salary Range for jobs which could be performed in the US: $247,810.00-349,850.00 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.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. AI /ML CPU System Validation Architect THE ROLE: The AI/ML CPU System Validation Architect will build sophisticated, scalable frameworks by employing advanced AI/ML technologies that will accelerate CPU system level silicon validation and debug. Exposure begins at the architecture level, working with pre-silicon teams to maximize pre-silicon coverage, post-silicon bring-up and enablement, and engagement through production and working with customer-facing teams for best adoption. You will work in a dynamic environment, directly with the product, tools, motherboards, and BIOS/OS. As a key contributor to the success of AMD's server & client roadmaps, you will be part of a high performing team driving the delivery of high quality, industry leading processors to market. The CPU platform validation team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. THE PERSON: The AMD CPU platform validation team is looking for a dynamic, energetic AI/ML CPU Validation Architect to join our growing team focused on the silicon validation of AMD's family of Zen CPU's. KEY RESPONSIBILITIES: * Lead the charge at AMD evaluating, implementing, and deployment of AI/ML solutions in a post-silicon environment to accelerate CPU debug and bug hunting * Build and maintain ML pipelines using frameworks such as PyTorch, TensorFlow, or scikit-learn for anomaly detection, failure classification, and root cause analysis * Develop and refine NLP models using transformer models, tokenization libraries(NLTK, spa Cy, etc.) to meet CPU post-silicon validation use cases and requirements * Utilize machine learning techniques to analyze and interpret data * Implement and deploy Microservices/ML Pipelines on Linux/Windows Platforms * Solutions are delivered via a fully automated CI/CD Pipeline * Work closely with CPU post-silicon validation engineers to understand their requirements and develop AI/ML solutions that meet their needs, balancing technical feasibility with business objectives. PREFERRED EXPERIENCE: * 8+ yrs of experience in software product development with at least 4 yrs of relevant technical expertise in designing & developing AI/ML solutions, including experience with deep learning, NLP, and time-series analysis * Strong Python programming skills with experience in ML frameworks (PyTorch, TensorFlow, scikit-learn) and data processing libraries (pandas, NumPy) * Hands-on experience developing AI/ML models in real-world environments and integrating AI/ML using cloud-native or hybrid technologies into applications. * Experience with SQL and NoSQL databases, vector databases, and working with large-scale structured and unstructured datasets * Post-silicon validation and/or system level debug * Laboratory experience with post-si platforms * Developing validation testplans * x86 instruction set experience is a plus * Good written and oral communication skills * Strong analytical/problem solving skills, ability to learn quickly, and pronounced attention to detail. * Self-motivated, a good team player ACADEMIC CREDENTIALS: * BS/MS/PhD in Electrical or Computer Engineering with multiple years of relevant experience LOCATION: Folsom, CA Austin, TX #LI-LM1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.