Systems Architect jobs at Apple

Do you have a passion for invention and want to develop solutions to resolve emerging technical challenges? Do you thrive pushing the limits of what's technically feasible. In this role, you'll help define and design solutions while working with many multi-functional teams to improve how multiple wireless systems interact! Our platform team is part of Apple's wireless SOC team. Our work requires a detailed understanding of 5G/LTE control plane, and/or Wifi control plane to develop new design flows. We'd like you to be a part of this exciting team! You will participate in a team that is defining architecture and firmware requirements for how different wireless systems need to respond to facilitate a flawless experience. This will involve collaborating with multiple Apple wireless teams to develop the technical solution end to end. YOUR DAILY WORK INCLUDES THE FOLLOWING TASKS - Architect key mitigations for Cellular and Wifi SoCs among others, to protect performance of other active systems. - Review/outline SoC mitigations for both FW/HW, for different chipsets and guide teams through the technical tradeoffs vs performance requirements to meet product needs. - Assist development teams in optimizing implementation to balance performance and memory management/complexity KPIs. MSEE or beyond is preferred. Define and specify wireless systems, procedures, and system architectures with a focus on UE chipset architecture for concurrency management between different radios/subsystems. Analyze and propose platform measures (HW/SW) to counter impacts of external systems while balancing performance KPIs. BS and 10+ years of relevant industry experience. 5+ years of experience and proven track record in specifying and implementing wireless platforms. Experience in leading multi-functional teams by technical expertise Understanding MAC, Layer1 control plane procedures for cellular and/or WIFI, BT technologies. Deep understanding of wireless communication platforms and product design constraints. Good knowledge of 3GPP standards (LTE, NR) and related procedures. Ability to present sophisticated technical topics to a multi-level audience. Proficient in technical English and programming skills, e.g., C++, Matlab.

Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different type of company that connects billions of people around the world, gives them ways to express what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.At Meta Reality Labs (FRL), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. We are looking for a Mechanical Engineer with experience developing and shipping consumer electronics (ideally wearables) while considering a broad range of business and hardware requirements including materials, manufacturability, form factor, ergonomics, and integration of technologies on softgoods substrates. We are specifically looking for a candidate with a history partnering with suppliers in Asia to create novel devices. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com. **Required Skills:** Wearable Display Systems Opto-ME Lead Responsibilities: 1. Work across the full product development cycle to drive mechanical component/subsystem designs from concept to production, including softgoods and sensor system development 2. Manage supplier strategy for prototypes and production of parts 3. Lead the resolution of design, prototyping and manufacturing issues during the development phase 4. Communicate and resolve manufacturing and prototyping challenges in concert with the full program schedule 5. Partner with a cross-functional team of engineers and researchers 6. Work with first and third party partners to advance TRL of component technology 7. Occasional domestic and international travel may be a requirement for this position **Minimum Qualifications:** Minimum Qualifications: 8. Bachelors in Mechanical Engineering or equivalent experience 9. 8 + years of experience developing high-volume consumer products with stringent SWAP-C constraints in such as wearables, mobile devices, or similar 10. 8 + years experience in 3D CAD modeling (NX or similar) 11. Experience working cross functionally to rapidly prototyping new concepts 12. Experience designing for CNC, injection molding, die cutting, lamination, softgoods development 13. Experience managing component vendors 14. Experience planning and executing DOEs **Preferred Qualifications:** Preferred Qualifications: 15. Experience working on mechanical design and productization of augmented reality (AR) or virtual reality (VR) display systems 16. Working knowledge of optical principles, including geometric optics, wave optics, optical components, adhesives, etc 17. Working knowledge of industry-standard optical design and testing tools, such as Zemax, CodeV, FRED, or similar 18. Hands-on experience with mechanical simulation tools, such as ANSYS or Abaqus, with working knowledge of material behaviors including polymers, adhesives, and brittle materials 19. Knowledge of image processing and optical-display metrics, such as MTF, contrast, luminance, uniformity etc 20. Familiar with data processing and analysis tools like Matlab, Python, VS Code, JMP, C++, etc 21. Experience working with offshore Contract Manufacturers in delivering consumer electronics products in mass production 22. Demonstrated communication and collaboration skills, with past experiences of working effectively with cross-functional teams and driving convergence 23. Experiences of establishing best practices across programs for the internal and external mechanical community, driving efficiency and product improvement **Public Compensation:** $170,000/year to $240,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Global People Operations team drives transformational employee experiences through innovative technology and strategic knowledge systems. Within People Ops, our HR Technology team operates as a strategic innovation hub, leveraging AI, advanced analytics, and cutting-edge content strategy to reshape how our organization learns, adapts, and scales.We're seeking an Information Architect who will design and lead transformational technology solutions that revolutionize how our global workforce accesses, creates, and leverages organizational knowledge. We're looking for someone with serious architecture chops who can design scalable, secure, and easy-to-maintain content and knowledge systems. This role will lead the implementation and deployment of AI and machine learning solutions to advance content intelligence and automate knowledge processes. They will leverage data from analytics, user research, and business metrics to inform technical decisions and guide future planning; as well as identifying emerging technologies and pilot innovative solutions that drive transformation and deliver impact at scale within a large enterprise environment. **Required Skills:** Information Architect Responsibilities: 1. Create and use AI to make content systems smarter, so content is automatically better, personalized, and delivered proactively 2. Build detailed content maps (taxonomies and ontologies) to power advanced natural language processing and conversational AI 3. Help build smart content APIs for smooth knowledge sharing across all platforms and new tech 4. Plan how our content systems will grow, using generative AI, smart search, and predictive analytics to stay ahead of what the company needs to know 5. Design connected knowledge systems that link HR tools with wider company intelligence platforms 6. Team up with product managers, UX researchers, and business stakeholders to turn big ideas into tech solutions and easy-to-understand knowledge systems 7. Lead game-changing projects that totally rethink how employees get help, using automation to deliver proactive information 8. Work with global HR program owners to find ways to use AI for content management and make knowledge systems even better 9. Set the tech rules for how content can be reused, how APIs should work, and how knowledge systems can share info across the org 10. Help make the People@ taxonomy smarter, turning it into AI-ready knowledge graphs that can power advanced analytics, automatic insights, and chat interfaces 11. Design knowledge systems that use AI tech like large language models, vector databases, and semantic understanding to give employees better experiences 12. Pioneer new ways to deliver knowledge, like voice interfaces, augmented reality overlays, and experiences that know what you need based on context 13. Analyze new content tech, AI, and knowledge management trends to shape long-term investments 14. Develop architecture strategies to get knowledge systems ready for changing business models, workforce needs, and rules 15. Research competitors to find the best content tech and knowledge management practices in the industry 16. Set up innovation systems for quickly trying out new knowledge technologies 17. Create intricate system integrations across content management platforms, HR systems, analytics tools, and AI services 18. Develop scalable solutions for content lifecycle management, version control, and knowledge quality through automated testing and AI validation 19. Use code-based tools (such as Jupyter notebooks) to create, run, and share documents containing live code, text, equations, and data visualizations, supporting rapid prototyping, analytics, and machine learning workflows 20. Partner with Engineering teams and leadership to deliver high-quality solutions that meet business needs and bring innovative disruption in ambiguous spaces **Minimum Qualifications:** Minimum Qualifications: 21. Bachelor's degree in a directly related field, or equivalent practical experience 22. 10+ years of progressive experience in enterprise content architecture, knowledge systems design, or HR technology solution development 23. 4+ years of hands-on experience developing complex taxonomies, ontologies, and knowledge architectures for AI/ML applications and large-scale systems 24. Experience implementing AI-enhanced content solutions, including machine learning classification, semantic search, or conversational AI systems 25. Experience with modern data technologies including vector databases, graph databases, knowledge graphs, and big data platforms 26. Advanced experience with content management platforms, GraphQL, metadata management, and structured content strategies 27. Demonstrated track record of leading global technical initiatives with cross-functional stakeholder collaboration and business impact delivery 28. Strategic thinking experience in technology roadmapping, competitive analysis, and innovation planning 29. Proficiency in agile methodologies and experience managing complex, ambiguous technical initiatives 30. Proven communication skills with experience influencing at all levels and drive organizational change 31. Experience with interactive developer environments to create, iterate and deliver solutions, in partnership with integrated agentic AI coding tools **Preferred Qualifications:** Preferred Qualifications: 32. Master's degree in Information Science, Computer Science, Library Science, or equivalent technical field 33. Advanced certifications in AI/ML, cloud architecture, or enterprise content management 34. Proficiency in programming languages such as Python, JavaScript, Go, or Java with experience in AI/ML frameworks 35. Background in conversational AI development, natural language processing, or generative AI implementations 36. Functional knowledge of HR domain expertise including benefits, compensation, payroll, and global regulatory compliance 37. Experience with enterprise integration platforms (MuleSoft, Workday, Salesforce) and advanced analytics tools 38. Track record of successful vendor partnerships for AI technology implementation and strategic technology consulting 39. Experience leading innovation initiatives in global technology environments 40. Understanding of AI ethics and responsible AI development in enterprise systems **Public Compensation:** $151,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Global People Operations team drives transformational employee experiences through innovative technology and strategic knowledge systems. Within People Ops, our HR Technology team operates as a strategic innovation hub, leveraging AI, advanced analytics, and cutting-edge content strategy to reshape how our organization learns, adapts, and scales.We're seeking an Information Architect who will design and lead transformational technology solutions that revolutionize how our global workforce accesses, creates, and leverages organizational knowledge. We're looking for someone with serious architecture chops who can design scalable, secure, and easy-to-maintain content and knowledge systems. This role will lead the implementation and deployment of AI and machine learning solutions to advance content intelligence and automate knowledge processes. They will leverage data from analytics, user research, and business metrics to inform technical decisions and guide future planning; as well as identifying emerging technologies and pilot innovative solutions that drive transformation and deliver impact at scale within a large enterprise environment. **Required Skills:** Information Architect Responsibilities: 1. Create and use AI to make content systems smarter, so content is automatically better, personalized, and delivered proactively 2. Build detailed content maps (taxonomies and ontologies) to power advanced natural language processing and conversational AI 3. Help build smart content APIs for smooth knowledge sharing across all platforms and new tech 4. Plan how our content systems will grow, using generative AI, smart search, and predictive analytics to stay ahead of what the company needs to know 5. Design connected knowledge systems that link HR tools with wider company intelligence platforms 6. Team up with product managers, UX researchers, and business stakeholders to turn big ideas into tech solutions and easy-to-understand knowledge systems 7. Lead game-changing projects that totally rethink how employees get help, using automation to deliver proactive information 8. Work with global HR program owners to find ways to use AI for content management and make knowledge systems even better 9. Set the tech rules for how content can be reused, how APIs should work, and how knowledge systems can share info across the org 10. Help make the People@ taxonomy smarter, turning it into AI-ready knowledge graphs that can power advanced analytics, automatic insights, and chat interfaces 11. Design knowledge systems that use AI tech like large language models, vector databases, and semantic understanding to give employees better experiences 12. Pioneer new ways to deliver knowledge, like voice interfaces, augmented reality overlays, and experiences that know what you need based on context 13. Analyze new content tech, AI, and knowledge management trends to shape long-term investments 14. Develop architecture strategies to get knowledge systems ready for changing business models, workforce needs, and rules 15. Research competitors to find the best content tech and knowledge management practices in the industry 16. Set up innovation systems for quickly trying out new knowledge technologies 17. Create intricate system integrations across content management platforms, HR systems, analytics tools, and AI services 18. Develop scalable solutions for content lifecycle management, version control, and knowledge quality through automated testing and AI validation 19. Use code-based tools (such as Jupyter notebooks) to create, run, and share documents containing live code, text, equations, and data visualizations, supporting rapid prototyping, analytics, and machine learning workflows 20. Partner with Engineering teams and leadership to deliver high-quality solutions that meet business needs and bring innovative disruption in ambiguous spaces **Minimum Qualifications:** Minimum Qualifications: 21. Bachelor's degree in a directly related field, or equivalent practical experience 22. 10+ years of progressive experience in enterprise content architecture, knowledge systems design, or HR technology solution development 23. 4+ years of hands-on experience developing complex taxonomies, ontologies, and knowledge architectures for AI/ML applications and large-scale systems 24. Experience implementing AI-enhanced content solutions, including machine learning classification, semantic search, or conversational AI systems 25. Experience with modern data technologies including vector databases, graph databases, knowledge graphs, and big data platforms 26. Advanced experience with content management platforms, GraphQL, metadata management, and structured content strategies 27. Demonstrated track record of leading global technical initiatives with cross-functional stakeholder collaboration and business impact delivery 28. Strategic thinking experience in technology roadmapping, competitive analysis, and innovation planning 29. Proficiency in agile methodologies and experience managing complex, ambiguous technical initiatives 30. Proven communication skills with experience influencing at all levels and drive organizational change 31. Experience with interactive developer environments to create, iterate and deliver solutions, in partnership with integrated agentic AI coding tools **Preferred Qualifications:** Preferred Qualifications: 32. Master's degree in Information Science, Computer Science, Library Science, or equivalent technical field 33. Advanced certifications in AI/ML, cloud architecture, or enterprise content management 34. Proficiency in programming languages such as Python, JavaScript, Go, or Java with experience in AI/ML frameworks 35. Background in conversational AI development, natural language processing, or generative AI implementations 36. Functional knowledge of HR domain expertise including benefits, compensation, payroll, and global regulatory compliance 37. Experience with enterprise integration platforms (MuleSoft, Workday, Salesforce) and advanced analytics tools 38. Track record of successful vendor partnerships for AI technology implementation and strategic technology consulting 39. Experience leading innovation initiatives in global technology environments 40. Understanding of AI ethics and responsible AI development in enterprise systems **Public Compensation:** $151,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We're seeking an Information Architect who will build and implement cutting-edge technology solutions that power how our global workforce accesses and leverages organizational knowledge. We're looking for someone with hands-on development skills who can configure, deploy, and manage scalable content and knowledge systems. You will have direct experience implementing AI/ML solutions, especially for content intelligence and knowledge automation, and excels at turning strategic requirements into working technical solutions through prototyping, system integration, and iterative development. **Required Skills:** Information Architect Responsibilities: 1. Create and use AI to make content systems smarter, so content is automatically better, personalized, and delivered proactively 2. Build context rich information representation models to power NLP and LLMs with smart content 3. Help build APIs for smooth knowledge sharing across all platforms and new tech 4. Implement content system infrastructure using generative AI, semantic search engines, and predictive analytics models, building scalable technical solutions that anticipate organizational knowledge requirements 5. Build and deploy connected knowledge system integrations between HR platforms and enterprise intelligence systems using modern integration patterns and API development 6. Team up with product managers, engineers, and business stakeholders to build and deploy technical solutions, implementing user-friendly knowledge systems 7. Implement and deploy future thinking employee support systems using automated workflows, proactive information delivery mechanisms, and intelligent user interfaces 8. Work with global HR program owners to configure AI-powered content management solutions, implementing machine learning models and deploying enhanced knowledge system methods 9. Help make the People@ taxonomy smarter, turning it into AI-ready knowledge graphs that can power advanced analytics, automatic insights, and chat interfaces 10. Design and build knowledge systems that use AI tech like large language models, vector databases, and semantic understanding to give employees better experiences 11. Pioneer new ways to deliver knowledge, like voice interfaces, augmented reality overlays, and experiences that know what you need based on context 12. Research and implement industry best practices through direct technical development and system configuration 13. Develop architecture solutions that enable knowledge systems to adapt to changing business models and workforce needs 14. Maintain intricate system integrations across content management platforms, HR systems, analytics tools, and AI services 15. Use code-based tools (such as Jupyter notebooks) to create, run, and share documents containing live code, text, equations, and data visualizations, supporting rapid prototyping, analytics, and machine learning workflows 16. Leverage AI-enhanced coding interfaces for rapid iteration, prototyping, and solution delivery 17. Partner with engineering to build and deliver high-quality solutions that meet business needs and bring innovative disruption in ambiguous spaces **Minimum Qualifications:** Minimum Qualifications: 18. Bachelor's degree in a directly related field, or equivalent practical experience 19. 6+ years of progressive experience in enterprise content architecture, knowledge systems design, or HR technology solution development 20. 4+ years of hands-on experience developing complex taxonomies, ontologies, and knowledge architectures for AI/ML applications and large-scale systems 21. Experience implementing AI-enhanced content solutions, including machine learning classification, semantic search, or conversational AI systems 22. Experience with modern data technologies including vector databases, graph databases, knowledge graphs, and big data platforms 23. Advanced experience with content management platforms, GraphQL, metadata management, and structured content strategies 24. Demonstrated track record of leading global technical initiatives with cross-functional stakeholder collaboration and business impact delivery 25. Strategic thinking with experience in technology roadmapping, competitive analysis, and innovation planning 26. Proficiency in agile methodologies and experience managing complex, ambiguous technical initiatives 27. Demonstrated communication skills with proven experience to influence at all levels and drive organizational change **Preferred Qualifications:** Preferred Qualifications: 28. Master's degree in Information Science, Computer Science, Library Science, or equivalent technical field 29. Advanced certifications in AI/ML, cloud architecture, or enterprise content management 30. Familiarity with programming languages such as Python, JavaScript, Go, or Java with experience in AI/ML frameworks 31. Background in conversational AI development, natural language processing, or generative AI implementations 32. Practical experience in HR domains including benefits, compensation, payroll, and global regulatory compliance 33. Experience with enterprise integration platforms (MuleSoft, Workday, Salesforce) and advanced analytics tools 34. Track record of successful vendor partnerships for AI technology implementation and strategic technology consulting 35. Experience leading innovation initiatives in rapidly evolving, global technology environments 36. Understanding of AI ethics and responsible AI development in enterprise systems **Public Compensation:** $122,000/year to $177,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Global People Operations team drives transformational employee experiences through innovative technology and strategic knowledge systems. Within People Ops, our HR Technology team operates as a strategic innovation hub, leveraging AI, advanced analytics, and cutting-edge content strategy to reshape how our organization learns, adapts, and scales.We're seeking an Information Architect who will design and lead transformational technology solutions that revolutionize how our global workforce accesses, creates, and leverages organizational knowledge. We're looking for someone with serious architecture chops who can design scalable, secure, and easy-to-maintain content and knowledge systems. This role will lead the implementation and deployment of AI and machine learning solutions to advance content intelligence and automate knowledge processes. They will leverage data from analytics, user research, and business metrics to inform technical decisions and guide future planning; as well as identifying emerging technologies and pilot innovative solutions that drive transformation and deliver impact at scale within a large enterprise environment. **Required Skills:** Information Architect Responsibilities: 1. Create and use AI to make content systems smarter, so content is automatically better, personalized, and delivered proactively 2. Build detailed content maps (taxonomies and ontologies) to power advanced natural language processing and conversational AI 3. Help build smart content APIs for smooth knowledge sharing across all platforms and new tech 4. Plan how our content systems will grow, using generative AI, smart search, and predictive analytics to stay ahead of what the company needs to know 5. Design connected knowledge systems that link HR tools with wider company intelligence platforms 6. Team up with product managers, UX researchers, and business stakeholders to turn big ideas into tech solutions and easy-to-understand knowledge systems 7. Lead game-changing projects that totally rethink how employees get help, using automation to deliver proactive information 8. Work with global HR program owners to find ways to use AI for content management and make knowledge systems even better 9. Set the tech rules for how content can be reused, how APIs should work, and how knowledge systems can share info across the org 10. Help make the People@ taxonomy smarter, turning it into AI-ready knowledge graphs that can power advanced analytics, automatic insights, and chat interfaces 11. Design knowledge systems that use AI tech like large language models, vector databases, and semantic understanding to give employees better experiences 12. Pioneer new ways to deliver knowledge, like voice interfaces, augmented reality overlays, and experiences that know what you need based on context 13. Analyze new content tech, AI, and knowledge management trends to shape long-term investments 14. Develop architecture strategies to get knowledge systems ready for changing business models, workforce needs, and rules 15. Research competitors to find the best content tech and knowledge management practices in the industry 16. Set up innovation systems for quickly trying out new knowledge technologies 17. Create intricate system integrations across content management platforms, HR systems, analytics tools, and AI services 18. Develop scalable solutions for content lifecycle management, version control, and knowledge quality through automated testing and AI validation 19. Use code-based tools (such as Jupyter notebooks) to create, run, and share documents containing live code, text, equations, and data visualizations, supporting rapid prototyping, analytics, and machine learning workflows 20. Partner with Engineering teams and leadership to deliver high-quality solutions that meet business needs and bring innovative disruption in ambiguous spaces **Minimum Qualifications:** Minimum Qualifications: 21. Bachelor's degree in a directly related field, or equivalent practical experience 22. 10+ years of progressive experience in enterprise content architecture, knowledge systems design, or HR technology solution development 23. 4+ years of hands-on experience developing complex taxonomies, ontologies, and knowledge architectures for AI/ML applications and large-scale systems 24. Experience implementing AI-enhanced content solutions, including machine learning classification, semantic search, or conversational AI systems 25. Experience with modern data technologies including vector databases, graph databases, knowledge graphs, and big data platforms 26. Advanced experience with content management platforms, GraphQL, metadata management, and structured content strategies 27. Demonstrated track record of leading global technical initiatives with cross-functional stakeholder collaboration and business impact delivery 28. Strategic thinking experience in technology roadmapping, competitive analysis, and innovation planning 29. Proficiency in agile methodologies and experience managing complex, ambiguous technical initiatives 30. Proven communication skills with experience influencing at all levels and drive organizational change 31. Experience with interactive developer environments to create, iterate and deliver solutions, in partnership with integrated agentic AI coding tools **Preferred Qualifications:** Preferred Qualifications: 32. Master's degree in Information Science, Computer Science, Library Science, or equivalent technical field 33. Advanced certifications in AI/ML, cloud architecture, or enterprise content management 34. Proficiency in programming languages such as Python, JavaScript, Go, or Java with experience in AI/ML frameworks 35. Background in conversational AI development, natural language processing, or generative AI implementations 36. Functional knowledge of HR domain expertise including benefits, compensation, payroll, and global regulatory compliance 37. Experience with enterprise integration platforms (MuleSoft, Workday, Salesforce) and advanced analytics tools 38. Track record of successful vendor partnerships for AI technology implementation and strategic technology consulting 39. Experience leading innovation initiatives in global technology environments 40. Understanding of AI ethics and responsible AI development in enterprise systems **Public Compensation:** $151,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We're seeking an Information Architect who will build and implement cutting-edge technology solutions that power how our global workforce accesses and leverages organizational knowledge. We're looking for someone with hands-on development skills who can configure, deploy, and manage scalable content and knowledge systems. You will have direct experience implementing AI/ML solutions, especially for content intelligence and knowledge automation, and excels at turning strategic requirements into working technical solutions through prototyping, system integration, and iterative development. **Required Skills:** Information Architect Responsibilities: 1. Create and use AI to make content systems smarter, so content is automatically better, personalized, and delivered proactively 2. Build context rich information representation models to power NLP and LLMs with smart content 3. Help build APIs for smooth knowledge sharing across all platforms and new tech 4. Implement content system infrastructure using generative AI, semantic search engines, and predictive analytics models, building scalable technical solutions that anticipate organizational knowledge requirements 5. Build and deploy connected knowledge system integrations between HR platforms and enterprise intelligence systems using modern integration patterns and API development 6. Team up with product managers, engineers, and business stakeholders to build and deploy technical solutions, implementing user-friendly knowledge systems 7. Implement and deploy future thinking employee support systems using automated workflows, proactive information delivery mechanisms, and intelligent user interfaces 8. Work with global HR program owners to configure AI-powered content management solutions, implementing machine learning models and deploying enhanced knowledge system methods 9. Help make the People@ taxonomy smarter, turning it into AI-ready knowledge graphs that can power advanced analytics, automatic insights, and chat interfaces 10. Design and build knowledge systems that use AI tech like large language models, vector databases, and semantic understanding to give employees better experiences 11. Pioneer new ways to deliver knowledge, like voice interfaces, augmented reality overlays, and experiences that know what you need based on context 12. Research and implement industry best practices through direct technical development and system configuration 13. Develop architecture solutions that enable knowledge systems to adapt to changing business models and workforce needs 14. Maintain intricate system integrations across content management platforms, HR systems, analytics tools, and AI services 15. Use code-based tools (such as Jupyter notebooks) to create, run, and share documents containing live code, text, equations, and data visualizations, supporting rapid prototyping, analytics, and machine learning workflows 16. Leverage AI-enhanced coding interfaces for rapid iteration, prototyping, and solution delivery 17. Partner with engineering to build and deliver high-quality solutions that meet business needs and bring innovative disruption in ambiguous spaces **Minimum Qualifications:** Minimum Qualifications: 18. Bachelor's degree in a directly related field, or equivalent practical experience 19. 6+ years of progressive experience in enterprise content architecture, knowledge systems design, or HR technology solution development 20. 4+ years of hands-on experience developing complex taxonomies, ontologies, and knowledge architectures for AI/ML applications and large-scale systems 21. Experience implementing AI-enhanced content solutions, including machine learning classification, semantic search, or conversational AI systems 22. Experience with modern data technologies including vector databases, graph databases, knowledge graphs, and big data platforms 23. Advanced experience with content management platforms, GraphQL, metadata management, and structured content strategies 24. Demonstrated track record of leading global technical initiatives with cross-functional stakeholder collaboration and business impact delivery 25. Strategic thinking with experience in technology roadmapping, competitive analysis, and innovation planning 26. Proficiency in agile methodologies and experience managing complex, ambiguous technical initiatives 27. Demonstrated communication skills with proven experience to influence at all levels and drive organizational change **Preferred Qualifications:** Preferred Qualifications: 28. Master's degree in Information Science, Computer Science, Library Science, or equivalent technical field 29. Advanced certifications in AI/ML, cloud architecture, or enterprise content management 30. Familiarity with programming languages such as Python, JavaScript, Go, or Java with experience in AI/ML frameworks 31. Background in conversational AI development, natural language processing, or generative AI implementations 32. Practical experience in HR domains including benefits, compensation, payroll, and global regulatory compliance 33. Experience with enterprise integration platforms (MuleSoft, Workday, Salesforce) and advanced analytics tools 34. Track record of successful vendor partnerships for AI technology implementation and strategic technology consulting 35. Experience leading innovation initiatives in rapidly evolving, global technology environments 36. Understanding of AI ethics and responsible AI development in enterprise systems **Public Compensation:** $122,000/year to $177,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We're seeking an Information Architect who will build and implement cutting-edge technology solutions that power how our global workforce accesses and leverages organizational knowledge. We're looking for someone with hands-on development skills who can configure, deploy, and manage scalable content and knowledge systems. You will have direct experience implementing AI/ML solutions, especially for content intelligence and knowledge automation, and excels at turning strategic requirements into working technical solutions through prototyping, system integration, and iterative development. **Required Skills:** Information Architect Responsibilities: 1. Create and use AI to make content systems smarter, so content is automatically better, personalized, and delivered proactively 2. Build context rich information representation models to power NLP and LLMs with smart content 3. Help build APIs for smooth knowledge sharing across all platforms and new tech 4. Implement content system infrastructure using generative AI, semantic search engines, and predictive analytics models, building scalable technical solutions that anticipate organizational knowledge requirements 5. Build and deploy connected knowledge system integrations between HR platforms and enterprise intelligence systems using modern integration patterns and API development 6. Team up with product managers, engineers, and business stakeholders to build and deploy technical solutions, implementing user-friendly knowledge systems 7. Implement and deploy future thinking employee support systems using automated workflows, proactive information delivery mechanisms, and intelligent user interfaces 8. Work with global HR program owners to configure AI-powered content management solutions, implementing machine learning models and deploying enhanced knowledge system methods 9. Help make the People@ taxonomy smarter, turning it into AI-ready knowledge graphs that can power advanced analytics, automatic insights, and chat interfaces 10. Design and build knowledge systems that use AI tech like large language models, vector databases, and semantic understanding to give employees better experiences 11. Pioneer new ways to deliver knowledge, like voice interfaces, augmented reality overlays, and experiences that know what you need based on context 12. Research and implement industry best practices through direct technical development and system configuration 13. Develop architecture solutions that enable knowledge systems to adapt to changing business models and workforce needs 14. Maintain intricate system integrations across content management platforms, HR systems, analytics tools, and AI services 15. Use code-based tools (such as Jupyter notebooks) to create, run, and share documents containing live code, text, equations, and data visualizations, supporting rapid prototyping, analytics, and machine learning workflows 16. Leverage AI-enhanced coding interfaces for rapid iteration, prototyping, and solution delivery 17. Partner with engineering to build and deliver high-quality solutions that meet business needs and bring innovative disruption in ambiguous spaces **Minimum Qualifications:** Minimum Qualifications: 18. Bachelor's degree in a directly related field, or equivalent practical experience 19. 6+ years of progressive experience in enterprise content architecture, knowledge systems design, or HR technology solution development 20. 4+ years of hands-on experience developing complex taxonomies, ontologies, and knowledge architectures for AI/ML applications and large-scale systems 21. Experience implementing AI-enhanced content solutions, including machine learning classification, semantic search, or conversational AI systems 22. Experience with modern data technologies including vector databases, graph databases, knowledge graphs, and big data platforms 23. Advanced experience with content management platforms, GraphQL, metadata management, and structured content strategies 24. Demonstrated track record of leading global technical initiatives with cross-functional stakeholder collaboration and business impact delivery 25. Strategic thinking with experience in technology roadmapping, competitive analysis, and innovation planning 26. Proficiency in agile methodologies and experience managing complex, ambiguous technical initiatives 27. Demonstrated communication skills with proven experience to influence at all levels and drive organizational change **Preferred Qualifications:** Preferred Qualifications: 28. Master's degree in Information Science, Computer Science, Library Science, or equivalent technical field 29. Advanced certifications in AI/ML, cloud architecture, or enterprise content management 30. Familiarity with programming languages such as Python, JavaScript, Go, or Java with experience in AI/ML frameworks 31. Background in conversational AI development, natural language processing, or generative AI implementations 32. Practical experience in HR domains including benefits, compensation, payroll, and global regulatory compliance 33. Experience with enterprise integration platforms (MuleSoft, Workday, Salesforce) and advanced analytics tools 34. Track record of successful vendor partnerships for AI technology implementation and strategic technology consulting 35. Experience leading innovation initiatives in rapidly evolving, global technology environments 36. Understanding of AI ethics and responsible AI development in enterprise systems **Public Compensation:** $122,000/year to $177,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Imagine what you could do here! At Apple, new ideas quickly become products, services, and customer experiences. Bring passion, diligence, and dedication to your job, and there's no limit to what you can accomplish. The people here have reinvented entire industries through Apple Hardware products. The same focus on innovation that goes into our products also shapes our practices, reinforcing our commitment to leave the world better than we found it. Join us to help deliver the next Apple product. Do you enjoy working on challenges that no one has solved yet? As part of our team, you will have the opportunity to craft products that will delight and inspire millions of Apple customers every day. We are seeking a highly motivated and detail-oriented Systems Engineer to contribute to the development of our Thermal Management system. The candidate will be responsible for developing and architecting thermal management systems ensuring efficient utilization of silicon capabilities and the software stack, to achieve the best possible user experience. 10+ years relevant industry experience. Knowledge of control systems and theory. Experience with the trade-offs between thermals, power and performance. Innovative and critical thinker with proven analytical skills and innate curiosity. Mathematical expertise in statistical methods and data processing and visualization. Desire to bring data-driven decision-making and analytics to improve our products. General understanding of hardware and software architecture of mobile systems. Understanding of version control principles and familiarity with Git. BS degree in Mechanical Engineering, Electrical Engineering, Computer Science or related field. Experience with Python, C/C++, Simulink or similar languages and tools.

Apple's Ecosystem Products u0026 Technologies team is looking for a highly skilled and motivated product-focused Systems Architect with a passion for creating great user experiences and high quality products. Join a collaborative development team that plays a pivotal role in the development of products that seamlessly integrate with Apple's portfolio, encompassing Home, iPad, iPhone, Watch, Mac and Vision Pro. This ecosystem of products is unique for its tight integration between accessories and Apple devices that extends the Apple user experience. We are seeking a highly motivated, energetic Systems Architect to lead and drive system technical designs and roadmaps. You will oversee and analyze key system architectural and implementation trade-offs, such as power and performance in a thermally constrained system, analyzing hardware u0026 data flows, and driving requirements. This role requires that you have strong communication skills, listening/understanding, synthesizing, presenting options u0026 tradeoffs, all while being comfortable with working through ambiguities. In this position, you will: -Work with multi-discipline teams to design and launch new accessories and features into the market. -Decompose user facing features, experiences, and functions into associated enabling technologies. -Lay out available architectural options, analyze engineering trade-offs, and articulate recommendations to meet product goals. -Work cross-functionally to understand existing portfolio of technologies, derive capabilities u0026 cost functions, and construct an overall end-to-end product solution. -Drive cross-functional alignment through technical discussions, negotiations and executive reviews. -Define and author system level feature descriptions and detailed functional requirements. -Shepherd product features through idea/concept to execution. -Review, influence, and challenge architectural tradeoffs with data and innovative new ideas. Master's Degree in electrical or computer engineering or similar field 10 years product development experience in a matrix organization 3 years experience as a technical lead or engineering manager History of shipping interoperability and ecosystem features Proven expertise in SoC architecture, low-power design, HW/SW interfaces, bus protocols (USB, I2C, etc.), and wireless interfaces (Bluetooth/BLE, NFC and Wi-Fi) Working knowledge of HW/SW interaction, operating systems, estimation of compute workload, thermal, and power controls in modern SoCs Previous exposure to PCB technologies, signal integrity considerations, coex/desense mitigation Ability to think strategically, while driving tactical details Systems thinking mindset with attention to interface definitions and edge cases Experience working with teams of diverse technical backgrounds and quickly seeking and integrating their knowledge Bachelor's Degree in electrical or computer engineering or similar field 10 years interdisciplinary engineering expertise related to consumer electronics or embedded systems (firmware, hardware/electrical, and/or mechanical) 5 years developing high volume consumer products from concept to production as a system integrator Solid understanding of hardware/software interaction and mechanical constraints Ability to develop and maintain product-specific system-level requirements/specifications for hardware, software, and mechanical subsystems Ability to build relationships with cross-functional teams and exert effective influence Excellent written and oral communication skills, comfortable with speaking in the details while adept at up-leveling the messaging in front of executives and/or cross-functional partners

Here at Apple, we believe that the right blend of hardware, software, and curated experiences can transform a house into a home that serves and entertains its residents. This is your opportunity to join Apple's Home Hardware group and help build the future! We're seeking a highly motivated engineer with a passion for elegant design and deep electrical system architecture expertise to shape the hardware for our groundbreaking devices. You'll contribute innovative solutions from product concept to production, leveraging your problem-solving and hands-on hardware development skills. In this role, you will collaborate closely with a multi-disciplinary team to develop and integrate cutting-edge hardware systems for future Apple products. You will own critical aspects of the electrical architecture and implementation, ranging from schematic design and layout to bring-up, debug, and validation. Success in this role requires not just deep technical expertise, but also strong product intuition and a systems-level mindset. We're looking for someone who can dive into the details, yet consistently elevate conversations to ensure alignment with user experience and product vision. The ideal candidate is a proactive problem solver who thrives in ambiguity, brings clarity through structured and creative thinking, and isn't afraid to roll up their sleeves. They communicate with empathy and precision, tailoring messages to resonate across audiences and disciplines. A strong sense of ownership, a product-first mentality, and a collaborative spirit are essential. You should be someone who can identify opportunities others may miss, form compelling ideas, and drive them into action, whether that means hands-on technical work, thoughtful cross-functional alignment, or shaping the future direction of the product. Expertise in emerging sensing technologies and sensor design highly preferred. Ability to take a methodical and insightful approach to data analysis Passion for continuous learning and exploring new technologies is highly valued. BS in electrical engineering or computer engineering 8+ years of hands-on experience shepherding system designs from concept to mass production, proactively anticipating and addressing potential roadblocks Expertise in hardware design for embedded applications from SOC/MCU integration, power architecture (DC-DC, battery), and sensor definition / integration Understanding of compute architecture and peripheral IO functions (PCIe, USB, I2C, SPI, UART, SWD) Working knowledge of PCB/flex layout for optimizing for high speed SI and PDN Demonstrated ability to effectively bring-up, debug, and validate mixed-signal designs Understanding of imaging systems and image processing for ML applications

Imagine what you could do here. At Apple, new ideas have a way of becoming products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple! Do you want to impact billions of users by developing an extraordinary product with a prime focus on accuracy, understandability, and performance of the product? Dynamic, Inspiring people and Innovative technologies are the norm here. The Systems Performance Architecture team is seeking an outstanding Data Center Architect to contribute to the design and optimization of computer architectures specifically for Machine Learning and Artificial Intelligence applications. This position is a multi-disciplinary and multi-functional lead engineering role encompassing all aspects of computer system design with a focus on performance. The candidate will need the skills and experience to create complex system architectures, surprise and delight our customers, and advance our products' performance, size, power, thermal and cost goals. Our team is collaborative, creative and passionate about what we do and the value we add in future product designs. Come join us! As a Technical Specialist, the individual will negotiate and model Data Center infrastructure solution details from a computer architecture and performance perceptive. Collaborate and leverage domain expertise knowledge to provide guidance, and leadership to multi-functional engineering teams to integrate cluster network architectures into overall system architecture to ensure efficient data flow, impact product definitions, and meet scalability requirements. Contribute to the definition of rack and cluster capabilities, configurations, and scale out requirements to support the deployment of dense compute and specialty compute workloads and applications, including but not limited to the following: Pathfinding novel Data Center cluster and node architecture choices with a broad group of architects and system engineers, networking, technical leads, and HW/SW partners. Providing guidance in optimized network designs for large-scale AI/ML clusters considering factors like bandwidth, latency, and scalability. Influencing networking hardware and software components selection for the cluster, including switches, adapters, and protocols. Analyzing network traffic patterns and implementing strategies to improve data transfer speeds within the cluster for target topologies and choice configurations. Collaborating with mechanical, physical, electrical, thermal, power, networking, OS, SW, datacenter infrastructure stakeholders for performant scalable deployments. Exploring and champion new product-level features and workflows. Mentoring junior engineers to best practices and data-driven processes. Detailed knowledge of network protocols, expertise in Ethernet, Infiniband, RoCE, UE, UAL, or other relevant networking protocols. Has strong analytical, verbal, written, and communication skills. Ability to summarize and effectively communicate technical issues and actions to key partners and leadership teams Ability to comprehend the roles of HW/FW/SW layers and how they interact in system design. Ability to create, review and approve engineering requirement specification documents. Prior experience with data center and large-scale cluster systems is desired. Machine Learning experience is desired. Prior experience in performance modeling is desired. BS/MS in Computer Engineering or equivalent with 10+ years of relevant industry experience. Possesses functional experience in defining and deploying datacenter cluster networking architectures over highly dense mesh networks and interconnected nodes for AI/ML based workloads. Proven track record of deploying AI/ML experiences at scale in large-scale data centers; Has strong experience with deployment of modern ML architectures. Possesses strong technical breadth across several computer subsystem technologies, e.g., CPU, GPU, TPU, storage, memory, power delivery, power management, high speed networking, I/O, thermal management. Has core competence and subject matter expertise architecting complex system architectures for general purpose compute, or specialty compute (GPUs, TPUs) systems running datacenter workloads for AI/ML applications.

Do you love working on state-of-the-art technologies? Are you a forward-thinker and love solving technological and architectural challenges? At Apple, our Platform Architecture team features a collaborative and hands-on environment that cultivates engineering excellence, creativity, and innovation. Join this team, and you'll collaborate with engineers across Apple to develop algorithms and architectures that help build the flawless technology experiences we're known for worldwide! In this highly visible role, you will lead the architecture of SoC display subsystem, including memory fabric interface, data pipe flow controls, memory compression, display interfaces, etc. The ideal candidate will be responsible for all aspects of SoC display subsystem architecture: - Work closely with SoC and fabric architects, software, and system engineers to architect SoC display subsystem - Architect display subsystems, including display pipe control, memory, and interfaces - Provide detailed architectural guidance at all levels of design throughout the design process from concept through production - Make recommendations on key design tradeoffs across architecture and performance - Author and maintain the display subsystem architecture specifications 20+ years of relevant industry experience in signal/image processing MS or PhD degree Understanding of SoC display sub-system architecture, interface, performance and energy tradeoffs Understanding of display or image technology Expertise in memory subsystem, memory interface, and DMA Architectural modeling ability Communication skills with cross-functional teams BS degree Experience in chip architecture, display subsystem architecture and/or design SoC display subsystem architecture and micro-architecture knowledge

At Apple, we believe new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you interested to work on the forefront of Battery Management Systems? In this role you will develop future BMS technologies with a hardworking team of engineers in a highly reciprocal and multi-functional environment. The BMS team spans across all battery-based Apple products and is looking for engineers with multi-disciplinary technology experience with strong leadership skills. The architecture group within the Battery Management System (BMS) organization is a critical and collaborative team that bridges across all cross functional teams to understand product needs to translate them into requirements for the BMS domain teams. The engagement spans across short term objectives for upcoming products as well as collaborating with the entire team to establish and pursue the long term BMS roadmap covering hardware, firmware, and algorithms. -Work with cross functional team to establish BMS goals and requirements -Enable successful delivery of BMS systems for new Apple products -Lead the definition of next generation of BMS silicon chipsets -Guide the BMS domain teams in developing efficient and scalable solutions -Engage with multi-disciplinary architects to align on next generation objectives and BMS roadmap -Lead the team to develop an architecture decomposition with justified trade-offs between technology options -Tackle challenging trade-offs and analyze comparative options with quantitative value proposition assessments -This role involves minimal travel. u003c 5% travel 10+ years of relevent industry experience. Proven experience of developing battery management solutions using latest embedded controllers and mixed signal peripherals. Experience with customer interfacing engagement to understand their system, requirements, and problems to define a system level solution. Experience in demonstrating leadership in collaborative environments with multiple internal and external technology partners. Experienced in developing engineering requirement specification for BMS systems and the functional decomposition into BMS HW, FW, SW, IC solutions. Experienced in working with silicon teams to drive BMS hardware requirements/specifications, architecture/feature trade-offs and design compliance. Familiar with battery management algorithms and their interaction with HW, FW, application platform systems, and manufacturing practices. Familiarity with detailed workings of different battery chemistries and their limitations. BS degree. Experience in a battery, systems, or related architecture role.

The Sensing Architecture team is a multi-disciplinary team that develops state-of-the-art technologies and sensor modules across Apple's product portfolio, including iPhone, iPad, Apple Watch, AirPods, and more. We architect sensing systems that allow valuable user interactions with Apple products while enabling system and display roadmaps. We are looking for a resourceful engineer and architect to develop next-generation sensing HW systems on Apple's innovative devices. You will be responsible for architecting the end-to-end sensing system - including sensor, ASIC requirements, back-end algorithms and calibration needs. You will be delivering an architecture package backed by extensive modeling and simulations that allows the HW teams to execute and build robust, power- and area-optimized sensing systems at scale. As an architect, you will help the HW teams accelerate progress by adding clarity to ambiguous design spaces, independently converging technical issues, and aligning efforts across teams. M.S. / Ph.D. with relevant project or coursework experience designing sensing systems Deep understanding of electrical engineering, transducer physics, and system engineering Experience in modeling complex multi-physics and electrical systems Block level circuit simulation experience Signal processing techniques, both analog and digital Basics of linear algebra, probability, and statistics Proficiency in MATLAB or equivalent packages Experience in leveraging AIML technologies to create scripts and frameworks for enhanced efficiency Software architecture best practices for complicated tool flows Excellent communication, teamwork, and leadership skills B.S. and a minimum of 10 years relevant industry experience Degree in one of these fields: Electrical Engineering, Applied Physics, Mathematics, Mechanical Engineering .

The Sensing Architecture team is a multi-disciplinary team that develops state-of-the-art technologies and sensor modules across Apple's product portfolio, including iPhone, iPad, Apple Watch, AirPods, and more. We architect sensing systems that allow valuable user interactions with Apple products while enabling system and display roadmaps. We are looking for a resourceful engineer and architect to develop next-generation sensing HW systems on Apple's innovative devices. You will be responsible for architecting the end-to-end sensing system - including sensor, ASIC requirements, back-end algorithms and calibration needs. You will be delivering an architecture package backed by extensive modeling and simulations that allows the HW teams to execute and build robust, power- and area-optimized sensing systems at scale. As an architect, you will help the HW teams accelerate progress by adding clarity to ambiguous design spaces, independently converging technical issues, and aligning efforts across teams. M.S. / Ph.D. with relevant project or coursework experience designing sensing systems Deep understanding of electrical engineering, transducer physics, and system engineering Experience in modeling complex multi-physics and electrical systems Block level circuit simulation experience Signal processing techniques, both analog and digital Basics of linear algebra, probability, and statistics Proficiency in MATLAB or equivalent packages Experience in leveraging AIML technologies to create scripts and frameworks for enhanced efficiency Software architecture best practices for complicated tool flows Excellent communication, teamwork, and leadership skills B.S. and a minimum of 3 years relevant industry experience Degree in one of these fields: Electrical Engineering, Applied Physics, Mathematics, Mechanical Engineering .

Imagine what you could do here. At Apple, new ideas have a way of becoming products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple! Do you want to impact billions of users by developing an extraordinary product with a prime focus on accuracy, understandability, and performance of the product? Dynamic, Inspiring people and Innovative technologies are the norm here. The System Performance Architecture team is responsible for all aspects of performance spanning hardware (CPU, GPU, DRAM, storage), software (OS, drivers, applications), and other system characteristics (thermals, power, acoustics). This spans performance modeling, guiding architecture tradeoffs, performance verification, performance debug, and workload characterization. Our team is collaborative, creative and passionate about what we do and the value we add in future product designs. Come join us! We have an outstanding opportunity for a Datacenter performance architect to contribute to the design and optimization of computer architectures specifically for Machine Learning and Artificial Intelligence applications. This position is a multi-disciplinary and multi-functional engineering role encompassing all aspects of computer system design with a focus on performance simulation. The candidate will need the skills and experience to create complex system architectures, surprise and delight our customers, and advance our productsʼ performance, size, power, thermal and cost goals. Machine Learning experience is desired Expertise in software development is preferred Strong coding skills Prior experience with data center and large-scale cluster systems is desired Strong communication skills At least 5 years of industry experience Knowledge and experience in computer architecture and systems Experience in performance modeling and simulation Experience developing tools in C++ and Python

We are searching for an innovative and experienced Analog Mixed-Signal (AMS) Validation Systems lead to head the development and execution of validation infrastructure for AMS IPs. This important position involves leading our HW and SW infrastructure teams to design and implement modular hardware (HW) and software (SW) modules and develop standardized validation framework and interfaces. This manager will work closely with validation teams to improve efficiency, enhance automation, standardize test flows, and improve data pipeline and analytics across AMS labs. This is an opportunity to work in a dynamic environment with endless learning opportunities at Apple. As a member of our team, you will have the rare and rewarding opportunity to work on upcoming products that will delight and inspire millions of Apple's customers every day. This role involves working closely with different cross functional teams within Apple as well as vendors. Occasional travels maybe needed. * Oversee the design, deployment, and management of hardware and software test systems and interfaces for efficient test execution, supporting bench and system validations. Implement best practices to perform QA on the system. - Collaborate with internal and external teams to define, evaluate, and improve validation toolchains. - Architect and maintain validation data management and directory structures for data analysis and extraction - Create and maintain visualization tools tailored to needs of IP validation team, and implement iterative features for effective data exploration and analysis - Launch data analytics framework and identify key performance indicators by collaborating with various design and validation teams. - Identify opportunities for modularization and standardization to improve the validation pipeline. Collaborate with cross-functional teams to develop and implement software interfaces to seamlessly transition pre-silicon verification flows to post silicon. - Follow security measures to safeguard sensitive data and ensure compliance - Foster collaborative and innovative work culture within the team as well as when working with cross-functional teams. The ideal candidate will have the following qualifications: 8+ years of experience in leading, managing and developing validation hardware and software systems to support the validation of AMS or SOC IPs, including automated and modular scalable lab setups and remote testing frameworks. Deep understanding of both HW and SW needs for the validation of various AMS IPs from on chip to in the system Hands-on experience with lab equipment (e.g. oscilloscope, signal analyzers, BERT) Strong programming and scripting skills (e.g., Python, C/C++, MATLAB, LabVIEW, JMP, etc.) for automation and data analysis. Knowledge of data processing, visualization, and analysis tools (e.g. Jupyter, Pandas, Tableau), and expertise in initiating and implementing data analytics processes Knowledge of semiconductor technologies, IC design architectures and principals, as well as familiarity with industry EDA tools and simulation setups. Understanding of machine learning techniques for validation data analytics is a plus. Strong technical leadership, effective communication, and collaboration skills. Excellent problem solving and analytical skills with a structured approach to issue resolution. Meticulous organizational skills. PhD is preferred Master's degree or equivalent in EE/CS is required plus 8+ years industry experience.

Want to build the machine learning platform that engineers rely on to develop next-generation Apple Intelligence products and services? As a machine learning engineer on our team, you will create platforms and tools to enable performant, scalable ML workload for Apple's AI-driven experiences. Join our team of highly skilled, impact-focused engineers! This role also includes opportunities to open source your work and publish at top ML conferences. We're searching for strong machine learning engineers to help build next-generation platform for training deep learning models at scale. You'll be part of a team of distributed systems and machine learning experts, focusing on reliability, scalability and performance of ML related workloads including model training, inference and data processing. We're looking for candidates with polished coding skills as well as passion for distributed systems and machine learning. In exchange, we offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities-all at one of the best companies in the world. Design and develop components for our centralized, scalable ML platform. Push the limits of existing solutions for large-scale ML workloads. Develop novel techniques to circumvent the limitations of these solutions. Deploy your techniques on high-impact tasks from our partners across the company building new Apple Intelligence products and services. We encourage publishing novel work at top ML conferences and releasing contributions as open source. Experience working with public cloud vendors such as AWS, GCP, Azure. Experience developing model parallel and data parallel training solutions and other training optimizations Familiarity with recent developments in foundation model architectures for language and multimodal Publication record at ML conferences such as MLSys, NeurIPS, etc. Advance degree in the area of Computer Science or equivalent, or a related Experience building large-scale deep learning infrastructure or platforms for distributed model training Experience with large-scale AI training infra components, such as accelerators, network fabrics, CUDA, NCCL, RDMA Strong programming skills in Python or Go Understanding of data structures, software design principles, and algorithms Experience building large-scale distributed systems with tools such as Kubernetes, Kafka, Prometheus, etc. Experience with deep learning frameworks, such as PyTorch, or JAX With minimum of 7+ years of industry experience Bachelors degree in the area of Computer Science or equivalent, or a related domain