Machining Engineer jobs at Amd - 112 jobs

What you do at AMD changes everything We care deeply about transforming lives with AMD technology to enrich our industry, our communities and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence, while being direct, humble, collaborative and inclusive of diverse perspectives. This is who we are at our best. One Company. One Team. AMD together we advance_ Product Development Engineer Role: Position includes test planning, test creation, characterization, data analysis, and silicon debug of DFT Scan/ ATPG tests in groundbreaking process technologies. Familiarity with DFT Scan, test development, optimization, and debug processes. The Candidate: Test Engineering is a cost, quality, and time-to-market driven team responsible for enabling the availability of microprocessors to our customers. We are looking for someone with pre-silicon abilities including understanding product features, developing characterization test plans, highlighting test coverage holes, and developing software and hardware infrastructure to execute those plans. This requires interaction with Design and Platform Engineering and allows for the opportunity to provide test improvement feedback for future designs. Post-silicon responsibilities include microprocessor debug & analysis and the execution of characterization plans. This may include silicon performance issues, yield issues, manufacturing processes, and device marginalities. The Engineer will work closely with Design & Platform Engineering to root cause issues that result from the debug, characterization, and margin analysis. The position also provides datasheets specifications and drive improvements in yield. Key Responsibilities: Test patterns & test flows development, debug, test and characterization Pre-Silicon Test planning & validation, Engagement with Design Post Silicon Bring up of Test patterns leading to optimization for mass production enablement Characterization and debug of new silicon designs and process technologies Optimization of test flows for increased quality and cost improvement Analysis of part failures leading to test improvement Analysis of characterization data across PVT Preferred Experience: Strong Leadership & communication skills including data presentation Java, Perl, C++ coding skills ATE test experience - Advantest V93K experience preferred. Unix and Windows proficiency Modern computer architecture knowledge JTAG knowledge Any one of SCAN, BIST, FUNC or HSIO pattern development and debug experience Academic Credentials: BS/MS EE or equivalent LOCATION: Austin, Tx #LI-WR1 Requisition Number: 187064 Country: United States State: Texas City: Austin Job Function: Product Engineering Benefits offered are described here. 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.

Description - HP is the world's leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives. We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works. At HP, the future is yours to create! The Digital Products team is responsible for the design, build, and deployment of world class AI enabled products and solutions that empower a future ready workforce, drive efficiencies via automation and support implementation of newer business operating models for HP's business. With a focus on Innovation, the group drives differentiation with architectural vision to consolidate, accelerate and simplify new technology adoption and deliver high value solutions that solve the pain points of all its stakeholders. Role Overview: We are seeking a Machine Learning Engineer to design, develop, and deploy AI/ML models that power innovative digital products. You will collaborate closely with AI Solutions Architects, Domain Solution Architects, Full Stack Engineers, and Product teams to ensure models are production-ready, scalable, and aligned with business objectives. Key Responsibilities: Design, implement, and optimize ML models for production systems, ensuring accuracy, efficiency, and scalability. Collaborate with Full Stack Engineers and AI Solutions Architects to integrate ML models into applications and platforms. Develop and maintain data pipelines and workflows to support training, testing, and deployment of ML models. Evaluate and implement state-of-the-art ML algorithms and frameworks suitable for domain-specific problems. Monitor, troubleshoot, and improve model performance in production. Work with Product Managers and Data Analysts to translate business requirements into ML solutions. Contribute to architecture discussions, best practices, and reusable ML frameworks across the organization. Stay up-to-date with emerging trends and technologies in AI and ML to bring innovation into production solutions. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. 3-7 years of experience in ML/AI engineering, including model development and deployment. Proficiency in Python, R, or similar languages, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, Azure, GCP) and ML deployment pipelines (MLOps). Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. Ability to work in cross-functional agile teams and communicate technical concepts effectively. Preferred: Experience in deploying ML models in production at scale. Familiarity with containerization (Docker/Kubernetes) and microservices for ML applications. Prior experience in product-focused or squad-based digital engineering teams. Knowledge of domain-specific applications of AI (healthcare, finance, retail, etc.). Why Join Us: You will play a key role in building intelligent, AI-driven products that solve real-world problems. This role offers the opportunity to collaborate across product, engineering, and design teams while working at the forefront of AI and machine learning innovation. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Pay and Benefits The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview ********************************* The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

Are you a builder at the frontier of Edge AI/ML, eager to apply your craft to high-impact, real-world problems? Do you thrive in ambiguous spaces where data, silicon, and algorithms intersect? Cirrus Venture Labs (CVL) may be the place for you. CVL is Cirrus Logic's newly formed technology accelerator, chartered to develop disruptive, scalable, and monetizable innovations that solve endemic industry problems. Our vision is to be a globally recognized innovation engine that repeatedly shapes and transforms semiconductor markets. We do so by embedding intelligence directly where signals originate in the physical world, across Voice, Sense, and Control domains, and pioneering ML-augmented signal processing. As a Principal ML Engineer, you will be a hands-on technical leader shaping CVL's machine learning programs. You will drive the development of ML models, frameworks, and prototyping pipelines, spanning data generation, curation, model engineering, and optimization for deployment on Edge and mixed-signal systems. Partnering closely with Innovation Managers, Architects, external ventures, and away-team contributors, you will turn ambitious hypotheses into validated prototypes that can be scaled into new product categories for Cirrus Logic. Responsibilites * Prototype Development: Lead rapid prototyping of ML models for edge intelligence across Voice, Sense, and Control domains, tightly integrated with Cirrus Logic's mixed-signal processing strengths. * Data & Model Engineering: Build datasets, design model architectures, and optimize performance, efficiency, and interpretability. Explore advanced approaches in ML-augmented signal processing, anomaly detection, and adaptive control. * System Integration: Collaborate with silicon, firmware, and systems teams to co-design ML architectures that operate efficiently on constrained hardware and embedded systems, balancing algorithmic accuracy with compute and power budgets. * Exploration & Research: Stay at the forefront of ML frameworks, foundation/SLM trends, and physical-world AI applications. Scout external IP, academic work, and startups to inform CVL's ML strategy. * Mentorship & Technical Leadership: Provide guidance and technical direction to away-team engineers and contributors across Cirrus Logic. Share best practices in ML model lifecycle, from experimentation to deployment. * Cross-Functional Collaboration: Work hand-in-hand with Innovation Managers, advisory teams, customers, and external partners to identify opportunities, define success criteria, and validate ML-enabled innovations in real-world scenarios. * Impact Assessment: Help define benchmarks, evaluation metrics, and pass/fail criteria that ensure ML prototypes address significant industry problems with clear paths to monetization. Required Skills and Qualifications * Educational Background: Master's or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on ML/AI. * Experience: 8+ years of hands-on experience developing and deploying ML systems on the Edge and within embedded platforms, including ownership of datasets, model development, and deployment pipelines. Proven experience implementing ML inference on resource-constrained systems such as microcontrollers, embedded SoCs, or custom silicon. * Architectural Expertise: Demonstrated experience with CNNs, RNNs (LSTM/GRU), and Transformer-based models, including custom architecture design and optimization for production. Experience tailoring these architectures for low-latency and low-power embedded inference. * Technical Depth: Strong understanding of representation learning, attention mechanisms, sequence-to-sequence modeling, and generative architectures. Ability to translate these methods into efficient implementations suited for real-time sensor, audio, or control workloads. * Optimization for Edge: Experience with quantization, pruning, knowledge distillation, mixed-precision training, and compiler-level optimizations to deploy models on CPUs, DSPs, NPUs, or hybrid SoC architectures. Familiarity with memory hierarchy tradeoffs, compute-offload, and bandwidth constraints in embedded ML. * Embedded & Firmware Integration: Proficiency in embedded software and firmware development (C/C++/Python) with experience integrating ML inference engines into real-time embedded stacks, RTOS environments, or bare-metal systems. Understanding of firmware pipelines, peripheral I/O, and signal-path integration for ML-augmented mixed-signal systems. * Data Engineering: Ability to design labeling strategies, synthetic data generation, and augmentation pipelines to support robust model development. Understanding of data acquisition and preprocessing directly from embedded sensors. * Systems Thinking: Proven track record of co-designing ML and firmware solutions alongside hardware teams, balancing algorithmic, architectural, and physical constraints. Familiarity with embedded ML frameworks and toolchains (e.g., TensorRT, ONNX Runtime, TVM, CoreML, TFLite, Glow, Edge Impulse). * Collaboration & Communication: Ability to translate complex ML concepts into actionable insights for cross-disciplinary teams of algorithm, firmware, and hardware engineers. Preferred Skills and Qualifications * Startup & Incubator Experience: Background in early-stage, high-ambiguity environments; experience contributing to incubation of new products or platforms. * Specialized ML Expertise: Experience in one or more of: generative models for voice, time-series/sequence modeling, anomaly detection for sensors, reinforcement learning for control systems. * Tooling: Familiarity with MLOps frameworks, data labeling pipelines, and distributed training. * External Engagement: Experience collaborating with startups, academic labs, or open-source communities. * Business Acumen: Ability to assess the business and monetization value of ML solutions in emerging markets. Join our team and help drive the next wave of foundational technologies that extend the capabilities of Cirrus Logic. If you're passionate about exploring uncharted technological frontiers and delivering disruptive innovations, we'd love to hear from you! Cirrus Logic is a leading supplier of low-power, high-precision mixed-signal processing solutions for mobile and consumer applications. The company has a robust portfolio of sophisticated low-power products including boosted amplifiers, smart codecs, camera controllers, haptic driver and sensing solutions, power conversion and control ICs, and fast-charging ICs. These solutions have innovative technology, software and associated algorithms incorporated. With a strong intellectual property portfolio and extensive mixed-signal expertise, Cirrus Logic is well-positioned to drive innovation and growth in the evolving markets for audio and high-performance mixed-signal processing technologies. Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law. #LI-CC1 #LI-Hybrid

**Introduction** At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. **Your role and responsibilities** Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Role Overview: Develop and train artificial intelligence tools to help automate processes for clients. Duties include designing and programming artificial intelligence systems, testing the machine learning tools and resolving issues with the algorithms and data to ensure the system works correctly. AI tools include chatbots, translations tools, predictive text and virtual assistants. Responsibilities: * AI Solution Design: Collaborate with cross-functional teams to design AI models and algorithms that solve business problems for clients. * Model Development: Build, train, and deploy machine learning models, natural language processing systems, and computer vision applications. * Client Engagement: Understand client requirements, present AI solutions, and work with clients to integrate AI technologies into their business processes. * Data Preprocessing: Clean, analyze, and prepare large datasets for machine learning and AI model training. * Implementation & Deployment: Implement AI solutions and ensure smooth deployment on cloud-based environments, ensuring scalability and performance optimization. * Cloud Management Strategies: Oversee and maintain a deep understanding of various services like AWS, Azure, and GCP. * Collaborative Problem Solving: Work with software development and IT teams to integrate AI models into production systems and ensure their continuous improvement. * AI Research & Innovation: Stay ahead of industry trends and emerging technologies in AI and data science, and leverage this knowledge to drive innovation within the organization * Documentation: Prepare detailed documentation for AI models, algorithms, and implementation processes to ensure knowledge transfer and scalability. Manage and enforce best practices for version control and collaboration tools, such as Github, Bitbucket, and Gitlab. As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity. This role can be performed from anywhere in the US. **Required technical and professional expertise** * Education: Bachelor's degree in Computer Science, Data Science, AI, or related field (Master's or Ph.D. is a plus). * Experience: * Minimum of 3-5 years of experience in AI engineering, machine learning, or related fields. * Experience working in a professional services or consulting environment is highly desirable. * Technical Skills: * Expert proficiency in Python, with experience in other programming languages highly valued. * Deep knowledge and practical implementation of advanced AI technologies, including Langchain, Vector Stores, etc. * Strong understanding of AI/ML algorithms (supervised/unsupervised learning, reinforcement learning). * Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. * Experience with data analytics and data engineering tools (SQL, Hadoop, Spark). * Proven experience in planning, developing, and implementing complex data pipelines. * Soft Skills: * Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders. * Ability to work in a fast-paced, client-facing environment with attention to detail. * Strong problem-solving skills and the ability to think creatively to solve client challenges. . **Preferred technical and professional experience** * Knowledge of industry-specific AI applications (e.g., healthcare, financial services, supply chain, retail/CPG). * Experience with natural language processing (NLP) and computer vision technologies. * Previous experience in an Agile or Scrum environment. 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, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. **Your role and responsibilities** Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Role Overview: Develop and train artificial intelligence tools to help automate processes for clients. Duties include designing and programming artificial intelligence systems, testing the machine learning tools and resolving issues with the algorithms and data to ensure the system works correctly. AI tools include chatbots, translations tools, predictive text and virtual assistants. Responsibilities: * AI Solution Design: Collaborate with cross-functional teams to design AI models and algorithms that solve business problems for clients. * Model Development: Build, train, and deploy machine learning models, natural language processing systems, and computer vision applications. * Client Engagement: Understand client requirements, present AI solutions, and work with clients to integrate AI technologies into their business processes. * Data Preprocessing: Clean, analyze, and prepare large datasets for machine learning and AI model training. * Implementation & Deployment: Implement AI solutions and ensure smooth deployment on cloud-based environments, ensuring scalability and performance optimization. * Cloud Management Strategies: Oversee and maintain a deep understanding of various services like AWS, Azure, and GCP. * Collaborative Problem Solving: Work with software development and IT teams to integrate AI models into production systems and ensure their continuous improvement. * AI Research & Innovation: Stay ahead of industry trends and emerging technologies in AI and data science, and leverage this knowledge to drive innovation within the organization * Documentation: Prepare detailed documentation for AI models, algorithms, and implementation processes to ensure knowledge transfer and scalability. Manage and enforce best practices for version control and collaboration tools, such as Github, Bitbucket, and Gitlab. As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity. This role can be performed from anywhere in the US. **Required technical and professional expertise** * Education: Bachelor's degree in Computer Science, Data Science, AI, or related field (Master's or Ph.D. is a plus). * Experience: * Minimum of 3-5 years of experience in AI engineering, machine learning, or related fields. * Experience working in a professional services or consulting environment is highly desirable. * Technical Skills: * Expert proficiency in Python, with experience in other programming languages highly valued. * Deep knowledge and practical implementation of advanced AI technologies, including Langchain, Vector Stores, etc. * Strong understanding of AI/ML algorithms (supervised/unsupervised learning, reinforcement learning). * Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. * Experience with data analytics and data engineering tools (SQL, Hadoop, Spark). * Proven experience in planning, developing, and implementing complex data pipelines. * Soft Skills: * Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders. * Ability to work in a fast-paced, client-facing environment with attention to detail. * Strong problem-solving skills and the ability to think creatively to solve client challenges. . **Preferred technical and professional experience** * Knowledge of industry-specific AI applications (e.g., healthcare, financial services, supply chain, retail/CPG). * Experience with natural language processing (NLP) and computer vision technologies. * Previous experience in an Agile or Scrum environment. 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.

NVIDIA is leading the industry in delivering accelerated computing in cloud and enterprise environments. 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 DGX Cloud strategy for utility computing. Specifically, the Infrastructure as a Service (IaaS) systems to deliver bare metal and virtualized accelerated computing hardware to users. You will define and drive the technical strategy across multiple datacenter environments (enterprise, sovereign, neocloud). Including defining and developing the control and data plane systems that enable utility computing (on-demand, scalable, metered) for accelerated computing hardware. You will work with NVIDIA leadership, cross-organizationally and cross-functionally, to establish the product definition, roadmap, and technical strategy to deliver utility accelerated computing at scale. What You'll Be Doing: Various Architectural Work: define and drive the technical implementation for DGX Cloud utility computing systems to deliver bare metal and virtualized accelerated computing. Collaborate on Cross Domain Disciplines: drive the technical strategy and integrations for shared memory, storage, and networking systems. Accelerate Integration: Guide the technical delivery across varied environments: enterprise, government/sovereign, high security/air-gapped, and private datacenters. Engage Stakeholders: Collaborate with customers, infrastructure providers, and partners to ensure NVIDIA's solutions set the industry standard for performance and availability. Full Software and System Lifecycle: From ideation to architecture, design, development, deployment, operations, and full lifecycle management, lead all technical aspects of planning and continuous evolution of a large technical scope. What We Need to See: 18+ overall years in technical roles with a focus on operating systems, virtualization, networking, storage, and cloud infrastructure. Defining the abstractions and building the systems to deliver secure, highly available, durable systems for IaaS. 7-10+ years of lead experience BS/MS or higher or equivalent experience in systems / software engineering, or related engineering fields Technical proficiency in multi-tenant datacenter and cloud-native architectures for bare metal and virtualization across compute, storage, and networking. Proven success delivering high-impact technically complex solutions that achieve high levels of transparency into resource utilization, performance, and operational insights. Technical Leadership: Ability to synthesize cross-functional 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 peers, partners, and working with high performance and accelerated computing customers. Ways to Stand Out from the Crowd: Application of Artificial Intelligence: Real world experience building the systems to support AI/ML workloads. Industry Expertise: Direct experience in designing, developing, delivering and operating secure, highly available, scaled out systems in enterprise and cloud environments. Engineering Enablement: Demonstrated history of creating scalable processes and extensible systems that facilitate cross-functional collaboration and operations at scale. Open Source Collaboration: Familiarity with open source ecosystems and projects in the infrastructure space (e.g. Linux, KVM). Ability to collaborate and influence in open source project governance to represent NVIDIA, customers, and partners interests in technical alignment and direction. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! 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.

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your role and responsibilities Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Role Overview: Develop and train artificial intelligence tools to help automate processes for clients. Duties include designing and programming artificial intelligence systems, testing the machine learning tools and resolving issues with the algorithms and data to ensure the system works correctly. AI tools include chatbots, translations tools, predictive text and virtual assistants. Responsibilities: * AI Solution Design: Collaborate with cross-functional teams to design AI models and algorithms that solve business problems for clients. * Model Development: Build, train, and deploy machine learning models, natural language processing systems, and computer vision applications. * Client Engagement: Understand client requirements, present AI solutions, and work with clients to integrate AI technologies into their business processes. * Data Preprocessing: Clean, analyze, and prepare large datasets for machine learning and AI model training. * Implementation & Deployment: Implement AI solutions and ensure smooth deployment on cloud-based environments, ensuring scalability and performance optimization. * Cloud Management Strategies: Oversee and maintain a deep understanding of various services like AWS, Azure, and GCP. * Collaborative Problem Solving: Work with software development and IT teams to integrate AI models into production systems and ensure their continuous improvement. * AI Research & Innovation: Stay ahead of industry trends and emerging technologies in AI and data science, and leverage this knowledge to drive innovation within the organization * Documentation: Prepare detailed documentation for AI models, algorithms, and implementation processes to ensure knowledge transfer and scalability. Manage and enforce best practices for version control and collaboration tools, such as Github, Bitbucket, and Gitlab. As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity. This role can be performed from anywhere in the US. Required education Bachelor's Degree Required technical and professional expertise * Education: Bachelor's degree in Computer Science, Data Science, AI, or related field (Master's or Ph.D. is a plus). * Experience: * Minimum of 3-5 years of experience in AI engineering, machine learning, or related fields. * Experience working in a professional services or consulting environment is highly desirable. * Technical Skills: * Expert proficiency in Python, with experience in other programming languages highly valued. * Deep knowledge and practical implementation of advanced AI technologies, including Langchain, Vector Stores, etc. * Strong understanding of AI/ML algorithms (supervised/unsupervised learning, reinforcement learning). * Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. * Experience with data analytics and data engineering tools (SQL, Hadoop, Spark). * Proven experience in planning, developing, and implementing complex data pipelines. * Soft Skills: * Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders. * Ability to work in a fast-paced, client-facing environment with attention to detail. * Strong problem-solving skills and the ability to think creatively to solve client challenges. . Preferred technical and professional experience * Knowledge of industry-specific AI applications (e.g., healthcare, financial services, supply chain, retail/CPG). * Experience with natural language processing (NLP) and computer vision technologies. * Previous experience in an Agile or Scrum environment. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: * Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being * Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs * Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law * Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals * Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at ************** and on LinkedIn and Twitter (X). Staff Product Applications Engineer About the Role We are growing our applications engineering documentation team to enhance the customer experience through world-class technical content. As a Staff Applications Engineer, you will lead the creation and maintenance of high-impact documentation supporting integrated circuits (ICs), evaluation kits (EV Kits), FPGA platforms, and associated hardware/software interfaces. This role plays a critical part in early-stage product development and customer enablement, driving shift-left initiatives and accelerating time-to-success for our users. Key Responsibilities Develop, review, and maintain technical documentation in alignment with ADI's style and quality standards. Collaborate cross-functionally with design, software, applications, and product teams to produce documentation such as: Device specifications Hardware reference manuals (HRMs) User guides Application notes Data sheets FPGA Getting Started Guides Reference designs Translate complex engineering concepts into clear, concise, and customer-friendly content. Drive front-end documentation efforts including: Reviewing design specs and register file definitions Managing version control Leveraging automation and AI tools Standardizing, creating, and redrawing graphics Plan and track documentation deliverables to align with product launch timelines. Manage the documentation ticketing system and resolve issues raised by internal and external stakeholders. Validate documentation against actual hardware/software to ensure accuracy and usability. Provide direct customer support to secure design wins and sustain business, including: Debugging customer code and applications Supporting failure analysis and quality investigations Key Deliverables Preliminary and final IC datasheets IC hardware reference manuals Revision-based errata sheets EV Kit user guides and getting started documentation FPGA onboarding documentation Application notes bridging hardware and software Technical support content Confluence documentation standards (e.g., pin/register naming, graphics, reusable diagrams) Required Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field; 7+ years of relevant experience in product applications engineering, customer technical support, or related roles Strong writing, editing, and documentation production skills Excellent attention to detail and ability to manage multiple concurrent projects Effective communicator and collaborator across engineering and product teams Experience with embedded C programming Solid understanding of electrical, computer, and software engineering fundamentals Portfolio or writing samples required Preferred Qualifications Hands-on experience with embedded systems and code samples Familiarity with low-level/bare-metal microcontroller environments Experience debugging circuits and embedded software Proficiency with source control and workflow tools (e.g., Git, JIRA, Confluence) Ability to experiment with and document embedded systems Why You'll Love Working Here At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world. Your expertise will shape the future of technology, and you'll be supported by a culture that values continuous advancement and professional growth. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: ExperiencedRequired Travel: NoShift Type: 1st Shift/Days

What you do at AMD changes everything We care deeply about transforming lives with AMD technology to enrich our industry, our communities and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence, while being direct, humble, collaborative and inclusive of diverse perspectives. This is who we are at our best. One Company. One Team. AMD together we advance_ The Primary Role of this position is: Working with a mentor, develop test programs for debugging, characterizing and production testing next-generation AMD processors. Work on Automated Test Equipment (ATE) platforms and System Level Test (SLT) platforms. Debug test infrastructure issues including test hardware, test software, and product-specific IP. Develop software tools and scripts that support Test process. Support overall compatibility, compliance, and test coverage of processors from product definition through product qualification and into high volume production by developing product specific test hardware, software and diagnostics. The test platforms and test infrastructure use various coding and scripting languages like Java, C++, C, Python, PERL, and Ruby to manipulate the device under test to ensure proper device functionality. Potential roles of a Product Development Co-op include: Develops and implements test programs/software to test and analyze AMD products. Develops test requirements and specifications. Develops software tools and scripts that support test process, program debug/audit, test time analysis etc. Performs logic and circuit design verification via software and hardware. Works with product engineering, characterization and platform debug teams to define and debug existing and new products. Debugs test infrastructure issues in hardware, software, device, or manufacturing flow domains. Support product improvement activities including driving cost reduction and yield improvement initiatives and resolving quality issues. Works on related projects and/or assignments as needed. Qualifications: Years of experience and education: Candidates will be enrolled in a Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering. Required Skills: Experience with Java, Python, or other high level software programming languages Courses in Computer Science, Software Engineering, Digital Logic, Circuit Theory Familiar with Linux or Unix Operating Systems and Shell manipulation Familiar with Microsoft standard apps (i.e. Office), Microsoft Windows Operating Systems Preferred Skills: Scripting language experience with Perl, Ruby, shell script, or similar Experience in the XP, AGILE, Scrum, and/or Kanban programming paradigms. Experience with revision control (SVN, GIT or similar) on a large software project Familiar with Markup Languages such as XML, JSON, YAML, etc. Requisition Number: 185061 Country: United States State: Texas City: Austin Job Function: Student/ Intern/ Temp Benefits offered are described here. 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 We care deeply about transforming lives with AMD technology to enrich our industry, our communities and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence, while being direct, humble, collaborative and inclusive of diverse perspectives. This is who we are at our best. One Company. One Team. AMD together we advance_ The Primary Role of this position is: Working with a mentor, develop test programs for debugging, characterizing and production testing next-generation AMD processors. Work on Automated Test Equipment (ATE) platforms and System Level Test (SLT) platforms. Debug test infrastructure issues including test hardware, test software, and product-specific IP. Develop software tools and scripts that support Test process. Support overall compatibility, compliance, and test coverage of processors from product definition through product qualification and into high volume production by developing product specific test hardware, software and diagnostics. The test platforms and test infrastructure use various coding and scripting languages like Java, C++, C, Python, PERL, and Ruby to manipulate the device under test to ensure proper device functionality. Potential roles of a Product Development Co-op include: Develops and implements test programs/software to test and analyze AMD products. Develops test requirements and specifications. Develops software tools and scripts that support test process, program debug/audit, test time analysis etc. Performs logic and circuit design verification via software and hardware. Works with product engineering, characterization and platform debug teams to define and debug existing and new products. Debugs test infrastructure issues in hardware, software, device, or manufacturing flow domains. Support product improvement activities including driving cost reduction and yield improvement initiatives and resolving quality issues. Works on related projects and/or assignments as needed. Qualifications: Years of experience and education: Candidates will be enrolled in a Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering. Required Skills: Experience with Java, Python, or other high level software programming languages Courses in Computer Science, Software Engineering, Digital Logic, Circuit Theory Familiar with Linux or Unix Operating Systems and Shell manipulation Familiar with Microsoft standard apps (i.e. Office), Microsoft Windows Operating Systems Preferred Skills: Scripting language experience with Perl, Ruby, shell script, or similar Experience in the XP, AGILE, Scrum, and/or Kanban programming paradigms. Experience with revision control (SVN, GIT or similar) on a large software project Familiar with Markup Languages such as XML, JSON, YAML, etc. Requisition Number: 185062 Country: United States State: Texas City: Austin Job Function: Student/ Intern/ Temp Benefits offered are described here. 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: You will play a pivotal role in driving initiatives that directly impact business outcomes and customer experience. This position goes beyond execution-it's about influencing strategy, fostering innovation, and collaborating with cross-functional teams to deliver measurable results. As part of a dynamic environment, you'll have the opportunity to grow your expertise, lead transformative projects, and make decisions that matter. Success in this role means not only meeting objectives but redefining what's possible. THE PERSON: You are a collaborative leader who thrives in dynamic, cross-functional environments. Your ability to communicate complex technical concepts clearly and effectively enables seamless alignment across teams. You demonstrate strong problem-solving skills, approaching challenges with creativity and resilience while maintaining a focus on delivering results. Adaptability and a proactive mindset allow you to navigate ambiguity and drive innovation. You foster trust and teamwork, mentor others with empathy, and inspire confidence through sound judgment and decisive action. KEY RESPONSIBILITIES * Define product OPNs, fuse maps, and speed binning strategies. * Develop and maintain scripts for AVFS analysis and distribution modeling. * Lead silicon debug and ATE characterization for new products. * Optimize test flows for yield, test time, and performance targets. * Analyze characterization data to improve yield and distribution. * Collaborate with Foundry and test teams to resolve yield issues. * Partner with design, platform, and manufacturing teams to ensure product readiness. * Mentor junior engineers and provide technical guidance. PREFERRED EXPERIENCE: * Experience in product development, silicon debug, or test engineering. * Semiconductor test methodologies (ATE, SLT). * Data analysis and scripting (Python, Perl). * Understanding of AVFS and power-performance correlation. * Experience with advanced CPU/GPU architectures. * Familiarity with power/performance modeling and distribution analysis. * Proven track record of process improvement and technical leadership. ACADEMIC QUALIFICATIONS: * Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field. #LI-BS1 #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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

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: Test Engineering is a results-oriented team focused on cost, quality, and time-to-market to ensure microprocessors are delivered efficiently to customers. Pre-silicon responsibilities include comprehending product features, crafting characterization test plans, identifying gaps in test coverage, and developing both software and hardware infrastructures necessary for plan execution. This role demands close collaboration with Design and Platform Engineering teams and offers opportunities to provide feedback for future test enhancements. Post-silicon duties involve microprocessor debugging, analysis, and execution of characterization plans, addressing silicon performance, yield, manufacturing processes, and device marginalities. The Test Engineer will work closely with cross-functional teams to identify root causes from debug and margin analysis activities and contribute datasheet specifications while driving continuous improvements in yield. THE PERSON: This position requires accountability for the quality and timeliness of outcomes within assigned projects or processes. The ideal candidate demonstrates problem-solving abilities through standard engineering methodologies and exercises independent judgment in complex technical decisions. Responsibilities include design and equivalent tasks within defined project scopes, covering test planning, creation, characterization, data analysis, and silicon debug for advanced process technologies. Key duties include development and debugging of Automated Test Equipment (ATE) test patterns and flows, ensuring device testability and manufacturability from development through production phases and implementation of product improvement measures to reduce cost, increase yield, and resolve quality issues. KEY RESPONSIBILITIES: * Sound understanding of Computer Architecture, including pipelining, caching, x86 architecture, and PC organization * Proficiency in software programming (Python, Ruby, C++, Java, C, or C#); scripting languages (Perl, Ruby, shell script, etc.) * Experience with Lean, XP, AGILE, Scrum, or Kanban methodologies * Familiarity with version control systems (GIT, SVN, CVS, etc.) * Industry experience in processor test development, validation, and/or debugging * Academic background in Computer Science, Software Engineering, Digital Logic, and Circuit Theory * Experience with Linux/Unix and Microsoft Windows operating systems, as well as standard office applications * Strong collaborative capabilities and experience working with geographically diverse engineering teams PREFERRED EXPERIENCE: * Practical knowledge of silicon debug using ATE, including implementation of test specifications, pattern/vector development, and timing * Familiarity with Scan/ATPG methodologies, hardware compression, failure mechanisms, debug processes, and AC scan development * Experience with functional or cache resident testing * Understanding of modern SRAM cell operation, associated debug, test, and characterization; familiarity with Memory BIST engines * Background in analog/mixed-signal DFT for microprocessor architectures * Experience with Verigy 93K ATE platforms, including infrastructure and methodologies for connectivity-based testing * Strong communication and data presentation skills * Proficiency with diagnostic tools such as logic analyzers, voltmeters, oscilloscopes, and related equipment * Knowledge of JTAG IEEE 1149.1 specification and hardware description languages * Statistical analysis expertise for population means and outlier identification; Pareto analysis for debug processes * Relevant professional experience in any of the aforementioned areas is highly valued ACADEMIC CREDENTIALS: * B.S. or M.S. in Computer Engineering, Electrical Engineering, or a directly related field. LOCATION: Austin, TX This role is not eligible for Visa sponsorship. #LI-TW2 #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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

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: Test Engineering is a cost, quality, and time-to-market driven team responsible for enabling the availability of microprocessors to our customers. Pre-silicon responsibilities for the Test Engineer include understanding product features, developing characterization test plans, highlighting test coverage holes, and developing software and hardware infrastructure to execute those plans. This requires interaction with Design and Platform Engineering and allows for the opportunity to provide test enhancement feedback for future designs. Post-silicon responsibilities include microprocessor debug & analysis and the execution of characterization plans. This may include silicon performance issues, yield issues, manufacturing processes, and device marginalities. The Test Engineer will work closely with Design and Platform Engineering to root cause issues that result from the debug, characterization and margin analysis. The Test Engineer will also provide datasheet specifications and drive improvements in yield. KEY RESPONSIBILITIES: Position includes test planning, test creation, characterization, data analysis, and silicon debug of microprocessors in leading edge process technologies. Includes: * Development and debug of ATE test patterns and test flows * Ensuring device testability and manufacturability from development through production * Optimization of test flows for increased quality and cost improvement * Analysis of part failures leading to test flow improvement * Characterization and debug of new silicon designs and process technologies * Analysis of characterization data * PREFERRED EXPERIENCE: * Scan/ATPG Applicant should be familiar with scan hardware compressions, failure mechanisms and debug processes AC scan (at-speed) development, debug, test and characterization * Array Applicant should be familiar with modern SRAM cell operation. SRAM debug, characterization, test or design knowledge Memory BIST engine knowledge * Analog/Mixed Signal Applicant should be familiar with modern microprocessor architecture and analog DFT * Automated Test Equipment (ATE) platform Verigy 93K Applicant familiar with tester infrastructure including HW, SW, timing, levels, patterns Test methodologies for OpenShorts/BoundaryScan and other connectivity-based testing. * Strong communication skills including data presentation * Java, Perl, C++ coding skills * ATE test experience * Unix proficiency * Modern computer architecture knowledge * ATE test program knowledge * JTAG knowledge ACADEMIC CREDENTIALS: * BS/MS EE or equivalent LOCATION: Austin, TX This role is not eligible for Visa sponsorship. #LI-TW2 #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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

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: This position is designed for an experienced engineer, who can quickly learn new skills and make an immediate impact. In this role, you will take ownership of clearly defined deliverables that directly contribute to the company's success. You will work in a fast-paced environment that values innovation and collaboration. THE PERSON: The ideal candidate is adaptable, analytical, and thrives in a fast-paced global environment. They combine strong problem-solving skills with the ability to influence and collaborate across teams and vendors. Success requires clear communication, a proactive mindset, and a passion for innovation, along with resilience and focus to manage competing priorities. KEY RESPONSIBILITIES: * Enable volume scan diagnosis across AMD's product portfolio to improve yield * Influence teams to apply diagnosis data for resolving yield issues * Lead critical debug and train coworkers on diagnostic tools * Collaborate with vendors to integrate new diagnosis features * Develop methods to enhance diagnosis quality and resolution * Build automated analytics to identify yield limiters using diagnosis data PREFERRED EXPERIENCE: * Experience with Design for Test, ATPG Scan, and/or BIST * Proficiency in scripting or software development (Perl, Python, C++) * Strong analytical skills to design complex experiments and derive actionable insights. * Excellent communication skills for technical discussions and management-level presentations * Passion for innovation and willingness to push the boundaries of current capabilities * High level of engagement and enthusiasm for driving success as part of a collaborative team LOCATION: Austin, TX This role is not eligible for visa sponsorship. #LI-AJ1 #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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

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 PERSON: This position requires accountability for the quality and timeliness of outcomes within assigned projects or processes. The ideal candidate demonstrates problem-solving abilities through standard engineering methodologies and exercises independent judgment in complex technical decisions. Responsibilities include design and equivalent tasks within defined project scopes, covering test planning, creation, characterization, data analysis, and silicon debug for advanced process technologies. KEY RESPONSIBILITIES: * Sound understanding of Computer Architecture, including pipelining, caching, x86 architecture, and PC organization * Proficiency in software programming (Python, Ruby, C++, Java, C, or C#); scripting languages (Perl, Ruby, shell script, etc.) * Experience with Lean, XP, AGILE, Scrum, or Kanban methodologies * Familiarity with version control systems (GIT, SVN, CVS, etc.) * Industry experience in processor test development, validation, and/or debugging * Academic background in Computer Science, Software Engineering, Digital Logic, and Circuit Theory * Experience with Linux/Unix and Microsoft Windows operating systems, as well as standard office applications * Strong collaborative capabilities and experience working with geographically diverse engineering teams PREFERRED EXPERIENCE: * Practical knowledge of silicon debug using ATE, including implementation of test specifications, pattern/vector development, and timing * Familiarity with Scan/ATPG methodologies, hardware compression, failure mechanisms, debug processes, and AC scan development * Experience with functional or cache resident testing * Understanding of modern SRAM cell operation, associated debug, test, and characterization; familiarity with Memory BIST engines * Background in analog/mixed-signal DFT for microprocessor architectures * Experience with Verigy 93K ATE platforms, including infrastructure and methodologies for connectivity-based testing * Strong communication and data presentation skills * Proficiency with diagnostic tools such as logic analyzers, voltmeters, oscilloscopes, and related equipment * Knowledge of JTAG IEEE 1149.1 specification and hardware description languages * Statistical analysis expertise for population means and outlier identification; Pareto analysis for debug processes * Relevant professional experience in any of the aforementioned areas is highly valued LOCATION: Austin, TX This role is not eligible for Visa sponsorship. #LI-TW2 #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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

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: As a Product Development engineer in the Q&R Modeling Team, you will collaborate with various Product Development Groups to ensure AMD's next-generation microprocessors deliver industry-leading Quality and Reliability. THE PERSON: A successful candidate is one who can perform in a role that requires strong analytical and technical communication skills; accountability for accuracy, reliability and completeness of assignment results critical to the project's success. KEY RESPONSIBILITIES: * Analyze large volumes of empirical test data to extract models and actionable insights for improving AMD Q&R. * Assess the Q&R impact of product design/test decisions and provide feedback for new features and/or improvements * Analyze customer failure issues, develop models to assess risks and propose mitigation strategies, both immediate, and long-term * Create systems for predicting quality and reliability for new products and assessing those predictions against actual field data for the purpose of improving future predictions. * Test pattern & test flow analysis from a quality perspective. PREFERRED EXPERIENCE: * Basic knowledge of semiconductor device physics * Solid understanding of statistics * Fluency in computer programming in languages such as Python * Experience creating mathematical models to describe real world phenomena, processes, and data sets * Experience working with databases and SQL ACADEMIC CREDENTIALS: * Bachelor's or Master's in physics, mathematics, electrical engineering or comparable disciplines LOCATION: Austin, TX This role is not eligible for visa sponsorship. #LI-TW2 #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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

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: As a member of the Technology and Product Engineering team, you will help lead AMD's efforts in secure device provisioning and silicon provenance. This role involves working across engineering, manufacturing, and customer teams to design and implement scalable security solutions that protect intellectual property, ensure device authenticity, and support traceability throughout the semiconductor lifecycle. You will contribute to the development of secure provisioning methodologies and collaborate with internal and external stakeholders to ensure AMD products meet evolving security and regulatory standards. THE PERSON: You are a collaborative and technically strong engineer with a passion for secure systems and supply chain integrity. You bring a system-level perspective, excellent communication skills, and a track record of working effectively across diverse teams. You are comfortable translating complex technical requirements into practical, scalable solutions and enjoy working in a fast-paced, cross-functional environment. KEY RESPONSIBILITIES: * Define and implement secure provisioning flows for AMD products. * Develop automated, high-volume secure provisioning methodologies. * Architect cryptographic solutions for authentication, encryption, and key management. * Drive silicon provenance initiatives: traceability, audit protocols, metadata. * Support customer engagements for secure provisioning and data transfer. * Contribute to roadmap planning and security standardization. * Ensure compliance with regulations and industry best practices. PREFERRED EXPERIENCE: * Good knowledge of cryptographic standards (AES, RSA, ECDSA) and post-quantum algorithms. * Familiarity with secure key storage (eFUSE, OTP) and provisioning flows. * Proven ability to lead cross-functional initiatives and communicate effectively. * Experience with device traceability, metadata (HBOM), and supply chain security. * Background in high-volume manufacturing and secure provisioning systems. ACADEMIC CREDENTIALS: * BS, MS or PhD in Electrical Engineering, Computer Engineering, or related field with proven experience in hardware security, cryptographic provisioning, or semiconductor manufacturing. LOCATION: Austin, Tx This role is not eligible for visa sponsorship. #LI-AJ1 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

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: Lead and support team efforts to qualify and produce next-generation AMD microprocessors as a Product Development Engineer. The role may include projects related to Data Analysis, Product Definition anywhere within the New Product Development (NPI) / Production life cycle. Product engineers cover a range of topics to ensure overall compatibility, compliance, and test coverage of microprocessors, from initial silicon bring-up through high-volume manufacturing. This particular role focuses on Data Analysis, Yield Improvement, and ATE Test Point Optimization/Validation needs across our team. THE PERSON: A successful candidate is one who can drive technical decisions independently, has accountability for accuracy, reliability and completeness of assignment results critical to the project's success. This role allows the opportunity to influence technical decisions that have a significant impact on multiple products or the product line. KEY RESPONSIBILITIES: * Integrating and releasing continuous improvements to quality, efficiency, or test. * Supporting all aspects of new product bring-up, including characterization of product and test point margin analysis as appropriate. * Debugging issues, weak points, or potential improvements related to test, yield, and power/performance requirements. * Leading and supporting multi-disciplinary teams involving Design, Diagnostics, Foundry Technology, Supply Chain, and/or other engineering teams to resolve issues related to the product. * Continuously improving methods and tools the team requires to generate results. PREFERRED SKILLS: * Prior coursework or direct experience related to Computer Science, Software Engineering, Digital Logic, Circuit Theory, and/or Computer Architecture. * Programming or scripting: Python, C, Java, Ruby, SQL, or shell scripting preferred * Clear understanding of statistical analysis and Pareto-based analysis * Familiarity with building a computer with required components (MB/cards/etc.) * Proficiency in MS Office / Windows OS or similar * Willingness to work hands-on driving AMD technology * Strong communication skills and ability to work with geographically-dispersed teams overseas * Familiarity with statistical analysis & data acquisition tools such as JMP, Snowflake. * Familiarity with ATE Test area equipment and methodology. * Familiarity with ML basic concepts and coding expertise to prototype tool development to drive innovation. ACADEMIC CREDENTIALS: * Targeted candidates will have a B.S. in Engineering (BS and/or advanced degree in EE/EECS/Computer Engineering preferred) LOCATION: Austin, TX This role is not eligible for Visa sponsorship. #LI-TW2 #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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

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 a global product reliability team that drives product qualifications for new CPU, APU, GPU, Adaptive SoCs and FPGA. This position is a highly visible role within the AMD engineering Design for Reliability team, responsible for defining and implementing reliability methodologies, developing predictive models, and influencing design practices to ensure robust product performance across operating voltages, temperatures, and process window. The engineer will possess technical authority in a fast paced, dynamic environment that requires decision making at strategic and tactical levels. THE PERSON: * The position provides influence that mandates strong analytical and technical skills. * Demonstrated success working in Design for Reliability Engineering, with strong familiarity in analog, mixed-signal, and SoC semiconductor reliability. KEY RESPONSIBILITIES: * This role spans the full reliability development cycle, from pre-silicon design assessments and physics-based modeling through post-silicon validation and lifetime performance analysis. * Lead pre-silicon reliability analysis for analog, mixed-signal, and SoC circuits, focusing on mechanisms such EM, TDDB, HCI, BTI, ESD, and parametric shifts. * Develop physics-of-failure-based lifetime and reliability models (Weibull, lognormal, exponential) that derive key reliability metrics including FIT, DPPM, AFR. * Lead cross-disciplinary reviews with design, process, and reliability, to solve reliability constraints through technical insight, data analysis. * Collaborate with design teams to implement design-for-reliability (DFR) guidelines and aging-aware simulation methodologies. * Leverage models to establish design constraints and lifetime projections. * Collaborate with post-silicon reliability teams to characterize products through Wafer Level Stress, Burn-In, HTOL, device parametric guardband, and post-silicon screening strategies. * Drive understanding of Intrinsic and Extrinsic Silicon reliability mechanisms, Design-Process interactions, and acceleration models. * Correlate pre-silicon modeling outputs with post-silicon measurements to refine lifetime projections and improve predictive accuracy. * Enhance internal reliability modeling infrastructure to automate data collection, lifetime prediction, and statistical reliability analysis. * Communicate across design, technology, test, and product teams to influence system-level reliability performance. PREFERRED EXPERIENCE: * Experience in semiconductor reliability and design engineering, with a focus on analog/mixed-signal or SoC devices. * Strong proficiency in statistical reliability analysis tools, JMP, MATLAB, or Python-based modeling frameworks. * Experience in stress modeling, lifetime extrapolation, and acceleration modeling for EM/TDDB/BTI, semiconductor degradation mechanisms methodology. * Knowledge of reliability characterization, qualification methods, and failure analysis workflows. * Demonstrated ability to correlate pre-silicon predictions with post-silicon data and tune modeling assumptions accordingly. * Familiarity with semiconductor process technologies, transistor-level simulations, and device physics fundamentals. * Strong data interpretation skills and ability to communicate complex datasets clearly across functional boundaries. * Understanding of Silicon Photonics reliability, test and manufacturing methods, a plus. * Understanding of advanced silicon and 3D-stacked/CoWoS packaging reliability, a plus. * Understanding of Silicon Failure Analysis methods and interpreting FA results, a plus. * Understanding of Soft Error Rate (SER), Single Event Latch-up (SEL) assessment methods, a plus. ACADEMIC CREDENTIALS: * BS/MS or PhD in Electrical Engineering, Physics, Materials Science or equivalent. * Additional coursework or certification in reliability engineering, statistical modeling, or design-for-reliability (DFR), plus. LOCATION: Austin, TX #LI-DD3 This role is not eligible for visa sponsorship. 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.