Senior Member Technical Staff jobs at Intel - 384 jobs

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad - to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all - consumers, businesses, developers - so that everyone can realize its benefits. Join Microsoft's Copilot Education team in Mountain View, where you'll lead the charge in shaping the future of AI-powered education technology. As an Education Engineering Manager, you'll manage and grow high-performing teams in a fast-paced, consumer-focused environment, with a strong emphasis on launching impactful products to market. We're seeking leaders with people management experience, deep technical expertise across frontend and backend systems, and a proven track record in EdTech-especially those who thrive in both startup and large company settings. You'll drive the development of innovative, consumer-facing AI features such as study & learn modes and quiz generation, helping to set industry standards and deliver meaningful experiences to learners. Passion for education technology and hands-on leadership are essential, as is the ability to spot underlying issues and iterate quickly. This is a high-impact, high-visibility opportunity to grow a team, shape a new vertical, and make a lasting difference in a domain that values diverse experiences and cross-pollination of ideas. If you're energized by the chance to lead AI for education, work on products with real emotional resonance, and see EdTech as a calling-not just a career-this is the place for you. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities * Hire, manage, and lead a team of software engineers responsible for delivering high-performance. * Driving the development of innovative, consumer-facing AI features such as study & learn modes and quiz generation, helping to set industry standards and deliver meaningful experiences to learners. * Work on products with real emotional resonance. * Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world * Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination. * Embody our Culture and Values. Qualifications Required Qualifications * Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications * Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * 5+ years people management experience. * Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. * Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture. Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft AI operates one of the world's most advanced AI training infrastructures, featuring multi-gigawatt clusters spanning tens of thousands of high-performance GPUs, ultra-low-latency NVLink/NVSwitch networks, and innovative liquid-cooling systems. Our team is seeking a Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments. We work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Join us and help shape the future of personal computing. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Every day, we build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. **Responsibilities** + Design and develop next-generation hardware health monitoring and diagnostic frameworks for large GPU clusters (NVL16/NVL72/GB200+ scale). + Build predictive analytics pipelines leveraging telemetry, power, and thermal data to anticipate hardware degradation and systemic issues. + Collaborate with silicon, firmware, and datacenter engineers to identify root causes and remediate large-scale hardware anomalies. + Define system health KPIs (e.g., NIS/RIS, MTBF, failure domain analysis) and integrate them into real-time observability platforms. + Lead incident triage for high-impact GPU, network, and cooling issues across distributed clusters. + Drive automation in health management to reduce manual intervention to the top 5% of anomalies. + Partner with cross-functional teams to influence hardware design for reliability, thermal efficiency, and serviceability. **Qualifications** **Required Qualifications:** + Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience. **Preferred Qualifications:** + Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience. + Experience working with large-scale HPC or GPU systems (NVIDIA H100/GB200 or equivalent). + Deep understanding of GPU architecture, high-speed interconnects (NVLink, InfiniBand, RoCE), and large datacenter topologies. + Proficiency in hardware telemetry, diagnostics, or failure analysis tools. + Experience with exascale-class systems or cloud-scale AI clusters. + Familiarity with reliability modeling, machine learning-based anomaly detection, or predictive maintenance. + Contributions to large-scale infrastructure operations, supercomputing centers, or AI hardware design. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (**************************************************************

Microsoft AI is looking for a Member of Technical Staff, Developer Experience to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI. Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff, Developer Experience you will play a key role in strengthening the foundation of our machine learning development ecosystem. You'll be responsible for improving the CI/CD system that powers the entire training codebase, designing and building tools that streamline model training workflows, and enhancing our cloud infrastructure to ensure scalability, reliability, and efficiency. You'll also help host and optimize models for both inference and data generation use cases, enabling teams to iterate faster and deliver higher-quality results. As a key member of the core engineering team, you will contribute by introducing best practices that drive architectural improvements and shape the roadmap for critical software and hardware components. Your efforts will have a direct impact on achieving business objectives for a diverse user base and will help accelerate the next wave of AI-driven growth and innovation. Microsoft Superintelligence Team Microsoft Superintelligence Team's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence - ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society - advancing science, education, and global well-being. We're also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you're a brilliant, highly-ambitious and low ego individual, you'll fit right in - come and join us as we work on our next generation of models! Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities * Design, implement, and optimize CI/CD pipelines for large-scale ML training workloads. * Build developer tools and automation to simplify training and evaluation workflows. * Improve and maintain core infrastructure across multi-cloud environments. * Deploy and manage model hosting systems for inference and data generation. * Collaborate with cross-functional teams to drive best practices in reliability, testability, and performance. * Care deeply about conversational AI and its deployment. * Actively contribute to the development of AI models that are powering our innovative products. * Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. * Enjoy working in a fast-paced, design-driven, product development cycle. * Embody our Culture and Values. Qualifications Required Qualifications: * Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR equivalent experience. Preferred Qualifications: * Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR equivalent experience. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Empower Every Learner. Shape the Future of Education with Microsoft AI.Microsoft AI is building a new Education team within Consumer Copilot, and we're looking for a passionate Fullstack Education Engineer to help us revolutionize how people learn. Our mission is bold and inspiring: empower every learner and every educator on the planet to achieve more through the transformative power of Microsoft Copilot. This is a unique opportunity to join a brand-new product team at the forefront of AI innovation. You'll design, build, and scale personalized, intelligent, and delightful learning experiences and systems-from elegant web interfaces to secure, performant backend services powering AI-driven education features across iOS, Android, and web. We're seeking someone who brings technical excellence, product intuition, and genuine empathy-someone who thrives in fast-paced environments, collaborates deeply across disciplines, and is energized by building world-class consumer experiences that reach learners everywhere.Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities * Build outstanding consumer-grade web applications using modern JavaScript/TypeScript, React, CSS, Node.js, and related technologies. * Design, build, and maintain secure, reliable, and scalable backend APIs powering Copilot's education experiences across platforms. * Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences. * Use data insights to analyze user behavior, inform product decisions, and identify opportunities to unlock learner motivation, mastery, and delight. * Ship high-quality, well-tested, secure, and maintainable code across the full stack. * Find creative paths around ambiguity and roadblocks to ship value quickly and iteratively. * Thrive in a fast-paced, design-driven, product development environment with rapid experimentation and tight feedback loops. * Contribute to a team culture grounded in empathy, collaboration, inclusion, curiosity, and a growth mindset. Qualifications Required Qualifications * Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, JavaScript, TypeScript, React, CSS, Node,js, Additional or preferred qualifications * Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR equivalent experience. * Experience building fullstack applications from the ground up, including architecture and deployment. * Work in consumer-facing education products at scale * Working knowledge of web browsers, web protocols, UI/UX principles, application architecture, and performance profiling. * Experience designing or implementing backend APIs, distributed systems, or service architectures. * Demonstrated success driving growth outcomes-acquisition, engagement, retention-with concrete examples of features or systems you've built. * Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. * Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI. * Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad - to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all - consumers, businesses, developers - so that everyone can realize its benefits. Microsoft AI (MAI) is looking for a talented and experienced Machine Learning Engineer to join our Growth team and help shape the next generation of AI systems, specifically for our personal AI assistant, Copilot. This role focuses on optimizing user engagement, retention, and personalization with innovative AI solutions, with a strong preference for expertise in recommendation systems and feed algorithms. However, we also welcome candidates with broader machine learning experience and a passion for solving dynamic AI challenges. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities * Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. Candidates without direct experience in recommendations and ranking are still encouraged to apply if they possess exceptional technical skills in other areas of machine learning. * Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking. * Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms. * Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics. * Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers. * Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings. * Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership. * Embody our Culture and Values. Qualifications Required Qualifications * Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications * 3+ years of experience building and deploying ML models in production environments. * Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow). * Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS). * Experience with classification, recommendation, or personalization systems. * Experience using large language models (LLMs) for machine learning and AI applications. * Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention. * Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Expertise in personalization strategies and user behavior modeling. * Strong problem-solving skills and the ability to independently design solutions to complex challenges. * Excellent communication skills, with the ability to influence technical and non-technical audiences. * Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

As a Member of Technical Staff - Machine Learning, AI Safety, you will develop and implement cutting-edge safety methodologies and mitigations for products that are served to millions of users through Copilot every day. Users turn to Copilot for support in all types of endeavors, making it critical that we ensure our AI systems behave safely and align with organizational values. You may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques, implementing safety orchestration methods and mitigations, and training content classifiers to support the Copilot experience. We're looking for outstanding individuals with experience in machine learning or machine learning infrastructure who are also strong communicators and great teammates. The right candidate takes the initiative and enjoys building world-class, trustworthy AI experiences and products in a fast-paced environment. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities * Leverage expertise to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training. * Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. * Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. * Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters * Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. Qualifications Required Qualifications * Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR equivalent experience. Preferred Qualifications * Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR equivalent experience. * 1+ years' experience prompting and working with large language models. * 1+ years' experience writing production-quality Python code. * Experience and/or interest in the field of Responsible AI, AI Safety & Alignment or consumer product trust & safety * Experience in the field of Responsible AI, AI Safety & Alignment or consumer product trust & safety Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Help deliver one of the best foundational models in the world at Microsoft AI. At Microsoft AI, we are on a mission to train the world's most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI. We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who: * Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects * Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making * Have experience and/or in-depth understandings about large-scale distributed systems * Demonstrate an ability to work collaboratively in a fast-paced, innovative environment Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Microsoft Superintelligence Team Microsoft Superintelligence team's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence-ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society-advancing science, education, and global well-being. We're also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you're a brilliant, highly-ambitious and low ego individual, you'll fit right in-come and join us as we work on our next generation of models! Responsibilities * Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations * Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack * Collaborate closely with teams on infrastructure, data, post-training, and multimodality * Embody our culture and values. Qualifications Required Qualifications * Bachelor's Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR equivalent experience. Preferred Qualifications * Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR equivalent experience. * Demonstrated experience in large-scale AI. * Passionate about conversational AI and its deployment. * Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. * Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. * Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Help build the world's most advanced multimodal dataset at Microsoft AI We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world's most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. The AI Data Infra team at Microsoft AI is responsible for building data infrastructure to help MAI teams to generate the biggest and best training dataset. Our work involves data pipelines, Spark, Ray, Vector Databases, and all other aspects of data infra. We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who: Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of expertise and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Microsoft Superintelligence Team Microsoft Superintelligence team's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence-ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society-advancing science, education, and global well-being. We're also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you're a brilliant, highly-ambitious and low ego individual, you'll fit right in-come and join us as we work on our next generation of models! Responsibilities Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). Own and maintain critical data infrastructures, including spark, ray, vector databases, and others. Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. Embody our culture and values. Qualifications Required Qualifications: * Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work * OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work * OR equivalent experience. Preferred Qualifications: * Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work * OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience * OR equivalent experience. Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad - to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all - consumers, businesses, developers - so that everyone can realize its benefits. Our Platform Infrastructure team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production. We're seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities * Design, develop, and maintain performant and secure AI Platform services that power Copilot. * Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services. * Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components. * Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. * Enjoy working in a fast-paced, design-driven, product development cycle. * Embody our Culture and Values. Qualifications Required Qualifications: * Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building services and products in languages such as Python, C#, C++, Rust, Java. * OR equivalent experience. * 4+ years' experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc. * 4+ years' experience in building and releasing production software at the platform level. * Solid knowledge of APIs, data flows, systems, and services. Preferred Qualifications: * Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments * Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. * Dedication to writing clean, maintainable, and well-documented code with a focus on reliability, security and ease of use. * Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers. * Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. * Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. * Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. * Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

As a Member of Technical Staff - Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from "What happened?" to "Why did it happen?" in minutes. You'll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We're looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities * Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation. * Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs. * Develop secure, compliant workflows for handling production logs and conversation data. * Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context. * Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces. * Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence. * Prototype and productionize ML models for anomaly detection and predictive insights. * Ensure compliance and security for data handling across telemetry, logs, and conversation datasets. * Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows. * Independently write efficient, readable, extensible code and model pipelines. * Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor. * Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks. Qualifications Required Qualifications: * Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR equivalent experience. Preferred Qualifications: * Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python * OR equivalent experience. * Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists. * Demonstrated interest in Responsible AI. #MicrosoftAI Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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: Do you want to help build the AI software that runs on top of the world's fastest supercomputers and most advanced data centers? At AMD, we are looking for passionate and talented Software Engineers to join our team. You will help develop cutting-edge technology that pushes the boundaries of performance and efficiency for the next generation of GPU accelerators. This is an opportunity to contribute to open-source AI software from AMD and the broader community, driving innovation and enhancing AI performance across data center GPUs. THE PERSON: You are a talented engineer who is passionate about advancing the frontiers of AI. You thrive in open-source environments, enjoy tackling complex technical challenges, and take pride in writing efficient, maintainable, and scalable software. You are collaborative, curious, and excited to contribute to the open-source repositories that power the next generation of AI workloads. KEY RESPONSIBILITIES: * Contribute to RAG, Ray, ROCm, Coding Agent, DGL, llama.cpp, verl, MegaBlocks, FlashInfer, Triton Inference Server, Taichi, and other merging open-source projects driving AI innovation. * Collaborate with leading partners and open-source communities to enable AI workloads and improve performance on data center GPUs. PREFERRED EXPERIENCE: * Experience with C++, Python, or similar programming languages. * Knowledge of AI training and inference. * Familiarity with GPU programming (CUDA, HIP, or OpenCL) and performance optimization techniques. ACADEMIC CREDENTIALS: Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. 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.

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description: Join our dynamic FPGA (Field Programmable Gate Array) Business Unit as a Technical Staff SOC Architecture Engineer. We are at the forefront of developing SOC FPGA compute platforms for a diverse range of low-power applications, including smart embedded vision, industrial IoT, access/gateways/aggregation networks, and compute platforms for aerospace and defense. As an SOC Architect, you will collaborate with a team of highly motivated architects and senior designers to define and deliver next-generation, power-optimized FPGA solutions. Key Responsibilities: * Lead technical diligence and perform trade-off analysis of product requirements during the Product Concept Phase, translating them into actionable Design Requirements for the Product Definition Phase. * Collaborate with Embedded Software teams to define optimal Hardware Abstraction Layer (HAL) and driver interfaces, ensuring seamless integration and performance. * Develop detailed microarchitectural specifications, ensuring accurate capture of design intent, identifying technical gaps, and proposing effective remedies. * Drive RTL implementation and partner with Logic Verification and ASIC Implementation teams through synthesis and DFT insertion. * Lead discussions with CPU and IP vendors to shape future features and requirements. * Develop and utilize techniques and tools for SOC benchmarking and bandwidth analysis, delivering optimized system solutions. * Work cross-functionally with Functional Verification, ASIC Implementation, and Embedded Software teams across multiple geographical locations. * Oversee all facets of interconnect to FPGA fabric, associated peripherals, and IO resources, extending beyond the SOC boundary. Requirements/Qualifications: Minimum Qualifications: * Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience. * 10-15 years of industry experience in SOC architecture and design. * Proven experience developing ARM M-Class or RISC-V Embedded SOC architectures. * Expertise in SOC advanced interconnect, AMBA, SOC peripherals, and DDR memory. * Proficiency in developing microarchitecture specifications, RTL design, and logic simulations. * Hands-on experience with Verilog, Cadence/Synopsys/Siemens simulation environments, synthesis, and DFT insertion EDA tools. * Strong scripting skills in CSH/BASH, PERL, or Python. * Demonstrated adaptability and flexibility in a fast-paced, evolving environment. * Excellent verbal and written communication skills, with the ability to convey complex technical concepts to cross-functional teams. * Proactive problem-solving attitude and a willingness to take initiative in addressing technical challenges. Preferred Qualifications: * Experience in SOC architecture performance analysis, tools, and simulators at various abstraction levels (Cycle Accurate, TLM, and/or Functional). * Familiarity with UVM and functional coverage methodology. * Experience with vector processing micro-architectures is a major plus. Travel Time: 0% - 25% Physical Attributes: Feeling, Hearing, Other, Seeing, Talking, Works Alone, Works Around Others Physical Requirements: 80% Sitting, 10% Walking, 10% Standing, Usual Business Hours Pay Range: We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below: Benefits of working at Microchip The annual base salary range for this position, which could be performed in California, is $88,000 - $232,000.* * Range is dependent on numerous factors including job location, skills and experience. Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. For more information on applicable equal employment regulations, please refer to the Know Your Rights: Workplace Discrimination is Illegal Poster. To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description: The candidate will join the rapidly growing Data Center Solutions (DCS) business unit at Microchip. DCS has a broad portfolio of products being broadly deployed today by the industry's cutting edge server/storage OEMs and hyperscale datacenters. Customers deploy DCS solutions into applications ranging from Big Data capacity storage to artificial intelligence and machine learning that are helping to shape the next digital age. Our product portfolio includes SAS/PCIe/NVMe/CXL products that connect, manage and secure the world's information, including Flash Controllers, High Performance Switches, RAID Controllers and Memory Controllers. Join a team where you can expand your skill set and drive key elements of the industry's technology leadership. Our Applications Engineering Team is responsible for working closely with the Product Development Teams, Product Validation Teams, Marketing Teams, and Sales Teams to enable our Tier 1 storage/data center customers to bring their solutions to market. We work with leading edge technology that gets deployed in data center, machine-learning/AI, and storage applications. We engage with customer engineering teams to assist in design wins, product ramp, and system production. We offer a challenging and dynamic working environment with opportunities to make substantial contributions toward the success of our business. Responsibilities: Lead and mentor 3-5 applications engineers: scope and schedule deliverables Work closely with hyperscale and Tier 1 storage customers in North America and worldwide to define requirements, manage deliverables and support platforms from initial bring-up to full production Support, manage, maintain collateral and hardware guides for processor based storage integrated circuits and reference designs Understand architectures and HW/SW designs in order to characterize customer related problems, providing both timely technical support and engineering feedback Develop customer level documentation and training material Work independently, and in a cross-functional team environment Travel within North America and internationally as needed to customer sites to debug systems for our market leading PCIe switch products Requirements/Qualifications: Bachelor's degree in EE, CS, or CE 10+ years of industry experience Strong technical leadership, teamwork, communication, and presentation skills Thorough knowledge of circuit theory and high speed signal fundamentals Strong debugging skills and experience with bench top equipment such as protocol analyzers/exercisers, logic analyzers, and oscilloscopes. Experience with board-level debug & bring-up Customer-facing experience Ability to effectively work with cross-functional teams and across multiple geographical locations Familiarity with storage networking concepts and protocols (PCIe, SAS and SATA, SCSI, 10/100/1000 Ethernet, TCP/IP) Desired Qualifications: Expertise in PCIe, NVMe, CXL, SAS, SATA Expertise in signal integrity, high speed SERDES architecture and support, spice or IBIS AMI simulation Strong system design skills Experience working with Marketing and Sales teams Project management experience Hardware, board level, and chip level development/debug skills Experience with RISC based embedded processors (MIPS preferred) Experience in the Storage Industry Travel Time: 0% - 25% Physical Attributes: Feeling, Hearing, Other, Seeing, Talking, Works Alone, Works Around Others Physical Requirements: 80% Sitting, 10% Walking, 10% Standing, Usual Business Hours Pay Range: We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below: Benefits of working at Microchip The annual base salary range for this position, which could be performed in California, is $90,000- $232,000.* *Range is dependent on numerous factors including job location, skills and experience. Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. For more information on applicable equal employment regulations, please refer to the Know Your Rights: Workplace Discrimination is Illegal Poster. To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description: Microchip Technology FPGA Business Unit is seeking a highly skilled and experienced System Power Architect to join our dynamic team. The successful candidate will be responsible for leading cross-functional teams to deliver high-performance IP integrations into our FPGA products, that meet market & customer requirements across a broad range of use cases & application spaces. This position is in the Silicon Architecture team of Microchip's FPGA Business Unit. Microchip is a major supplier of low-power, highly-reliable and highly-secure field-programmable gate arrays (FPGAs). Our FPGAs are used in a wide variety of use cases & applications, including embedded vision; digital signal processing; machine learning; industrial and medical equipment; satellites; and diverse defense applications. Microchip is also a pioneer in embedding RISC-V processors in FPGAs. The successful applicant will work as part of a core team to develop future FPGA device products and will collaborate with other engineering disciplines to model, develop, verify, and integrate power efficiency solutions to meet aggressive power, performance and area (PPA) goals. Key Responsibilities: Understand customer use cases and the role of power management architecture in overall system architecture. Lead cross-functional teams to analyze customer use cases & architect solutions to deliver high-performance, low power FPGA products that extend Microchip's power efficiency leadership. Develop pre-silicon power models and work with other architects to explore PPA trade-offs. Develop PDN models and architecture at system, package and chip levels. Collaborate with back-end implementation teams to define UPF/CPF (Unified Power Format / Common Power Format) specifications. Create product power architecture specifications that meet the power efficiency goals. Partner with CAD/EDA teams to integrate power analysis tools into the design flow. Work with firmware/software teams to define power management firmware, drivers, and runtime policies. Work with test, validation and characterization teams to define their respective plans. Work cross-functionally with other architects, designers, and back-end implementation teams. Requirements/Qualifications: Strong understanding of CMOS power consumption (dynamic, static/leakage, short-circuit) and advanced process node challenges (FinFET, GAA). Knowledge of state-of-the-art FPGA power features. Expertise in low-power design techniques: power gating, clock gating, retention, multi-voltage design, DVFS. Hands-on experience with UPF/CPF and EDA power analysis tools. Ability to analyze workloads and build power models at different abstraction levels (system, microarchitecture, RTL). Experience in technical leadership and people management will be an advantage. Proven ability to work cross-functionally with other architects, designers, and back-end implementation teams (in hardware, firmware, software). BS degree or higher in EE, CS, CE or other applicable disciplines. 10+ years of industrial experience. Travel Time: 0% - 25% Physical Attributes: Feeling, Hearing, Other, Seeing, Talking, Works Alone, Works Around Others Physical Requirements: 80% Sitting, 10% Walking, 10% Standing, Usual Business Hours Pay Range: We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below: Benefits of working at Microchip The annual base salary range for this position, which could be performed in California, is $90,000 - $232,000.* *Range is dependent on numerous factors including job location, skills and experience. Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. For more information on applicable equal employment regulations, please refer to the Know Your Rights: Workplace Discrimination is Illegal Poster. To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.

********************************************************************************************************************************************** **Please select Microchip Recruiter as your source** Are you looking for a unique opportunity to be a part of something great? Want to join a 20,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology, Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description Microchip Technology FPGA Business group is seeking a highly skilled and experienced System Interconnect Architect to join our dynamic team. The successful candidate will be responsible for leading cross-functional teams to deliver high-performance IP integrations into our FPGA products, that meet market & customer requirements across a broad range of application spaces. This position is in the Silicon Architecture team of Microchip's FPGA Division. Microchip is a major supplier of low-power and highly-reliable field-programmable gate arrays (FPGAs). Our FPGAs are used in a wide variety of applications, including embedded vision; digital signal processing; machine learning; industrial and medical equipment; and satellites. Microchip is also a pioneer in embedding RISC-V processors in FPGAs. The successful applicant will work as part a core team to develop future FPGA device products and will collaborate with other engineering disciplines to model, develop, verify, and integrate System Interconnect components such as IO, hard IP blocks, hard & soft IP solutions, that interoperate with overall configuration and security features to deliver performant FPGA products. Key Responsibilities: Lead cross-functional teams to deliver high-performance IP integrations into Microchip FPGA products Work on ASIC & FPGA IP development, integration, and deployment for System Interconnect such as PCIe, CXL, DDR, NOC, High Speed Serial Transceivers, High Performance Parallel IO interfaces Understand customer use models and the role of IP in overall system architecture Work cross-functionally with other architects, designers, and back-end implementation teams Lead and manage other engineers in the team Qualifications MS or higher in EE, CS, CE or other applicable disciplines 12+ years of relevant experience Proven experience in ASIC & FPGA IP development, integration, and deployment, including all stages of development from Synthesis, constraint management, place & route, floor planning, timing closure, CDC/RDC Knowledge and experience with system-level performance modeling in TLM/SystemC/Other will be an advantage Experience in technical leadership and people management will be an advantage Proven ability to work cross-functionally with other architects, designers, and back-end implementation teams Knowledge and experience with Synopsys & Cadence ASIC flows Scripting for EDA in Perl, Python, Tcl will be an advantage Additional Information Travel Time: 0% - 25% Physical Attributes: Feeling, Handling, Hearing, Other, Seeing, Supervises Others, Talking, Works Alone, Works Around Others Physical Requirements: 10% walking, 10% standing, 80% sitting; 100% in doors; Usual business hours Pay Range: We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below: Benefits of working at Microchip The annual base salary range for this position, which could be performed in California, is $88,000 - $232,000.* *Range is dependent on numerous factors including job location, skills and experience. Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description: Join our dynamic FPGA (Field Programmable Gate Array) Business Unit as a Technical Staff SOC Architecture Engineer. We are at the forefront of developing SOC FPGA compute platforms for a diverse range of low-power applications, including smart embedded vision, industrial IoT, access/gateways/aggregation networks, and compute platforms for aerospace and defense. As an SOC Architect, you will collaborate with a team of highly motivated architects and senior designers to define and deliver next-generation, power-optimized FPGA solutions. Key Responsibilities: Lead technical diligence and perform trade-off analysis of product requirements during the Product Concept Phase, translating them into actionable Design Requirements for the Product Definition Phase. Collaborate with Embedded Software teams to define optimal Hardware Abstraction Layer (HAL) and driver interfaces, ensuring seamless integration and performance. Develop detailed microarchitectural specifications, ensuring accurate capture of design intent, identifying technical gaps, and proposing effective remedies. Drive RTL implementation and partner with Logic Verification and ASIC Implementation teams through synthesis and DFT insertion. Lead discussions with CPU and IP vendors to shape future features and requirements. Develop and utilize techniques and tools for SOC benchmarking and bandwidth analysis, delivering optimized system solutions. Work cross-functionally with Functional Verification, ASIC Implementation, and Embedded Software teams across multiple geographical locations. Oversee all facets of interconnect to FPGA fabric, associated peripherals, and IO resources, extending beyond the SOC boundary. Requirements/Qualifications: Minimum Qualifications: Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 10-15 years of industry experience in SOC architecture and design. Proven experience developing ARM M-Class or RISC-V Embedded SOC architectures. Expertise in SOC advanced interconnect, AMBA, SOC peripherals, and DDR memory. Proficiency in developing microarchitecture specifications, RTL design, and logic simulations. Hands-on experience with Verilog, Cadence/Synopsys/Siemens simulation environments, synthesis, and DFT insertion EDA tools. Strong scripting skills in CSH/BASH, PERL, or Python. Demonstrated adaptability and flexibility in a fast-paced, evolving environment. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to cross-functional teams. Proactive problem-solving attitude and a willingness to take initiative in addressing technical challenges. Preferred Qualifications: Experience in SOC architecture performance analysis, tools, and simulators at various abstraction levels (Cycle Accurate, TLM, and/or Functional). Familiarity with UVM and functional coverage methodology. Experience with vector processing micro-architectures is a major plus. Travel Time: 0% - 25% Physical Attributes: Feeling, Hearing, Other, Seeing, Talking, Works Alone, Works Around Others Physical Requirements: 80% Sitting, 10% Walking, 10% Standing, Usual Business Hours Pay Range: We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below: Benefits of working at Microchip The annual base salary range for this position, which could be performed in California, is $88,000 - $232,000.* *Range is dependent on numerous factors including job location, skills and experience. Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. For more information on applicable equal employment regulations, please refer to the Know Your Rights: Workplace Discrimination is Illegal Poster. To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.

********************************************************************************************************************************************** **Please select Microchip Recruiter as your source** Are you looking for a unique opportunity to be a part of something great? Want to join a 20,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology, Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description Microchip Technology FPGA Business group is seeking a highly skilled and experienced System Interconnect Architect to join our dynamic team. The successful candidate will be responsible for leading cross-functional teams to deliver high-performance IP integrations into our FPGA products, that meet market & customer requirements across a broad range of application spaces. This position is in the Silicon Architecture team of Microchip's FPGA Division. Microchip is a major supplier of low-power and highly-reliable field-programmable gate arrays (FPGAs). Our FPGAs are used in a wide variety of applications, including embedded vision; digital signal processing; machine learning; industrial and medical equipment; and satellites. Microchip is also a pioneer in embedding RISC-V processors in FPGAs. The successful applicant will work as part a core team to develop future FPGA device products and will collaborate with other engineering disciplines to model, develop, verify, and integrate System Interconnect components such as IO, hard IP blocks, hard & soft IP solutions, that interoperate with overall configuration and security features to deliver performant FPGA products. Key Responsibilities: Lead cross-functional teams to deliver high-performance IP integrations into Microchip FPGA products Work on ASIC & FPGA IP development, integration, and deployment for System Interconnect such as PCIe, CXL, DDR, NOC, High Speed Serial Transceivers, High Performance Parallel IO interfaces Understand customer use models and the role of IP in overall system architecture Work cross-functionally with other architects, designers, and back-end implementation teams Lead and manage other engineers in the team Qualifications MS or higher in EE, CS, CE or other applicable disciplines 12+ years of relevant experience Proven experience in ASIC & FPGA IP development, integration, and deployment, including all stages of development from Synthesis, constraint management, place & route, floor planning, timing closure, CDC/RDC Knowledge and experience with system-level performance modeling in TLM/SystemC/Other will be an advantage Experience in technical leadership and people management will be an advantage Proven ability to work cross-functionally with other architects, designers, and back-end implementation teams Knowledge and experience with Synopsys & Cadence ASIC flows Scripting for EDA in Perl, Python, Tcl will be an advantage Additional Information Travel Time: 0% - 25% Physical Attributes: Feeling, Handling, Hearing, Other, Seeing, Supervises Others, Talking, Works Alone, Works Around Others Physical Requirements: 10% walking, 10% standing, 80% sitting; 100% in doors; Usual business hours Pay Range: We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below: Benefits of working at Microchip The annual base salary range for this position, which could be performed in California, is $88,000 - $232,000.* *Range is dependent on numerous factors including job location, skills and experience. Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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_ Principal AI Software Engineer THE ROLE: In this team you will be building the technology used to accelerate the latest AI models addressing the areas such as vision models, speech recognition, working with the leading engineers in AMD's CPU, GPU and Adaptable Compute teams THE PERSON: In this role you will be leading development activities and writing some of the key components of the software involved in AI/ML frameworks such as PyTorch, TensorFlow, TVM, MLIR. You are someone that has insight into performance optimizations. KEY RESPONSIBILITIES: Develop the latest algorithms, software, and architectures for AI acceleration. In this role you will be a technology leader and provide expertise to help AMD build the best AI acceleration solutions in the industry. PREFERRED EXPERIENCE: Knowledge of AI frameworks like TensorFlow, PyTorch, TVM, MLIR Understanding of AI application stacks including OpenCV, OpenCL, OpenVX, etc. Expertise with Deep Neural network architectures like CNN, RNN, Transformer Knowledge of Acceleration platforms like GPU, TPU, APU, FPGAs. Years Experience in Software Development Years in Machine Learning ACADEMIC CREDENTIALS: M.S. or Ph.D LOCATION: San Jose, Ca. #LI-JT1 Requisition Number: 153131 Country: United States State: California City: San Jose Job Function: Design 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.

Join Us in Shaping the Future At Intel, we are building the next generation of software innovation through the one API software stack, a unified programming model designed to unlock the full potential of heterogeneous computing. Our team is at the forefront of enabling developers worldwide to harness CPUs, GPUs, and accelerators with cutting-edge tools, libraries, and compilers. By joining us, you'll contribute to an open ecosystem that drives performance, scalability, and portability across diverse architectures-empowering breakthroughs in AI, HPC, and beyond. If you're passionate about transforming how the world computes and want to work on technology that truly matters, this is your opportunity to make an impact. The Team The Intel Compiler Engineering Team is a high performing team responsible for the creation of the industry-leading Intel C/C++/DPC++ and Fortran Compilers, and is a leader in LLVM.org, the basis of our compiler products. We are continually pushing the boundaries of compiler technology in support of providing maximally useful and performant compilers for all of Intel's processor platforms, both CPU and GPUs. Position Overview We're hiring a Senior Compiler Architect to own the runtime architecture for Intel's open‑source compiler stack (CPU + GPU/accelerators). You will set technical direction, design and evolve language runtimes, and lead delivery of new features that enable portable, high‑performance offload. You'll drive upstream collaboration with LLVM.org, SYCL, and OpenMP, lead development of novel optimization techniques for accelerated workloads. You will define how our runtime integrates with the broader ecosystem, and ensure rock‑solid performance, reliability, and developer experience from silicon to software. This role is perfect for individuals who thrive on deep systems work, community leadership, and measurable impact on AI and HPC workloads. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences. Required Qualifications: * BS with 8+ OR MS with 6+ OR PhD with 4+ years of experience with a degree in Computer Science or related field with focus on compiler development tools. * 5+ years of hands-on compiler development experience with a demonstrated history of technical contributions to LLVM.org (commit history, patches, reviews). * 5+ years of experience with accelerated computing and parallel programming models working with GPU architecture. * 5+ years of experience in compiler or application performance tuning to achieve optimal runtime and application throughput. Preferred Qualifications: * Hardware knowledge: understanding of modern CPU, GPU, and accelerator architecture. * Ability to analyze and optimize language runtimes, scheduling, and memory models to achieve industry leading runtime and application performance across heterogeneous architectures (CPU, GPU, and accelerators). * Expert-level C/C++ with deep understanding of systems programming. * Patents or significant technical innovations in compiler technology. * Demonstrated cross-industry collaboration on language standards and specifications. Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, California, Santa Clara Additional Locations: US, Arizona, Phoenix, US, California, Folsom, US, Massachusetts, Beaver Brook, US, Oregon, Hillsboro, US, Texas, Austin Business group: The Software and AI (SAI) Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits: We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: ********************************************************************************** Annual Salary Range for jobs which could be performed in the US: $169,820.00-322,070.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.