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Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers who value moving quickly. Product Manager Responsibilities: <ul><li>Plan, initiate, and manage information technology projects for web-based products and platforms.</li><li>Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.</li><li>Drive product development with teams of world-class engineers and designers, while maintaining team health.</li><li>Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.</li><li>Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.</li><li>Define and analyze metrics that inform the success of products. Identify and track key performance metrics.</li><li>Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.</li><li>Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.</li></ul>Minimum Qualifications: <ul><li>5+ years product management or related industry experience</li><li>Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:</li><li>Experience product management or product design</li><li>Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones</li><li>Experience delivering technical presentations</li><li>Experience analyzing complex, large-scale data sets and making decisions based on data</li><li>Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution</li><li>Technical experience with analytical tools, methodologies, and design</li><li>Displaying leadership, organizational and execution skills</li><li>Proven communication skills</li></ul>Preferred Qualifications: <ul><li>Experience identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.</li><li>Experience going through a full product life-cycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.</li><li>Proven to be enthusiastic and resilient in a constantly evolving environment in which the process is fluid and creative solutions are the norm</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. 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.

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Product Manager

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations. Software Engineer, Systems ML - SW/HW Co-design Responsibilities: <ul><li>Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta's products and experiences</li><li>Goal setting related to project impact, AI system design, and infrastructure/developer efficiency</li><li>Directly or influencing partners to deliver impact through deep, thorough data-driven analysis</li><li>Drive large efforts across multiple teams</li><li>Define use cases, and develop methodology & benchmarks to evaluate different approaches</li><li>Apply in depth knowledge of how the ML infra interacts with the other systems around it</li><li>Mentor other engineers / research scientists & improve the quality of engineering work in the broader team</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design</li><li>Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python</li></ul>Preferred Qualifications: <ul><li>Master/PhD degree in Computer Science, Computer Engineering</li><li>Experience with distributed systems or on-device algorithm development</li><li>Experience with recommendation and ranking models</li><li>Technical leadership experience</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. 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.

Software Engineer, Systems ML - SW/HW Co-design

The AR Products team at Meta is seeking a Technical Program Manager to lead technical program management across several concurrent work streams. In this role, you'll work closely with internal machine learning, software & hardware engineers, researchers, external partners, and vendors to help define requirements and deliverables, schedule and track project progress, coordinate with other internal teams, schedule shared resources, and manage partner relationships. To be successful, you will be eliminating barriers to your team's success, clearly communicating their work to all stakeholders and ensuring the big picture stays in focus while maintaining deep understanding of specific issues. Ideal candidates are adaptable and resilient, eager to attack unfamiliar problems with curiosity and tenacity, and able to use a light touch to help the team be more efficient. Technical Program Manager, AR Products Responsibilities: <ul><li>Lead cross-functionally to define schedule, requirements, resource plans, integration plans, prioritize initiatives, and proactively identify/address potential setbacks</li><li>Create processes that enable teams to move quickly and efficiently</li><li>Work with engineering, research, and partnership teams to deliver solutions in a fast-paced environment</li><li>Balance the business needs with technical constraints by building deep subject matter expertise for your area</li><li>Maintain the team's focus on strategy and goal-oriented results when tackling complex problems</li><li>Communicate program status, risks and mitigation plans on a regular cadence, including directly to leadership. Ensure project documents are complete, current and available for review by all parts of the organization</li></ul>Minimum Qualifications: <ul><li>4+ years of technical program management experience</li><li>Demonstrated experience in coordinating complex and ambiguous machine learning projects with a variety of stakeholders</li><li>Experience building and managing relationships across teams in the organization and with external vendors and partners</li><li>B.S. in Computer Science, EE or a related technical discipline, or equivalent experience</li></ul>Preferred Qualifications: <ul><li>Experience organizing complex and long term research or product road maps</li><li>Experience coordinating development of consumer applications</li><li>Knowledge in managing software resource usage such as performance, memory use, application size, etc.</li><li>Prior experience with building and shipping wearable products & running privacy initiatives</li><li>Experience working on user data collection efforts</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. 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.

Technical Program Manager, AR Products

As a System Opto-Mechanical Prototyping Engineer at Meta, you will take a critical role in developing next generation AR systems. You will become part of a team translating new concepts through mechanical design and fast iterative prototyping into products. A wide range of approaches will be explored combining electrical, mechanical, optical, firmware, and software techniques. We want people who work well in teams, can brainstorm big ideas, work in new technology areas, are able to drive a concept into a prototype and then mature the design to high-volume consumer product solutions.We are looking for someone with a product mindset, who also is very comfortable working in a fast-pace rapid prototyping team, to join a new eye-tracking focused incubation team within our existing Display and Optics organization. While the role is focused on technology incubation for readiness into mass production, the ideal candidate will demonstrate prior mass-production experience and showcase their aptitude for developing to the standards required for launching a product. With this duality in role, it is important that the candidate can choose the right development methodology that is appropriate for the stage of development. I.E. when to be fast and loose and when to be diligent and rigorous.The candidate will be responsible for participating in developing new innovative approaches to solving complex design challenges that have direct impact on future AR products at Meta. The ideal candidate can demonstrate scrappiness and creativity when producing prototypes quickly to showcase an idea, or a particular solution. The ideal candidate needs to be aware of various rapid prototyping tools, such as 3D printing, and have the technical understanding of how to use them independently. You will work closely with product design engineers, display engineers, hardware engineers, process engineers, FEA simulation engineers, material scientists, project managers, validation engineers, product-operations, and international suppliers. Strong collaboration is necessary, and the ideal candidate will demonstrate their aptitude for bringing their diverse viewpoint to aid in the development of these innovative design approaches. We work at a fast pace with a group of highly self-motivated talents. The individual should demonstrate strong ability to continuously develop personal knowledge and expertise in new technology for AR display systems assembly, process design, manufacturing, and scalability. System Opto-Mechanical Prototyping Engineer Responsibilities: <ul><li>Drive rapid-prototyping efforts that will deliver multiple iterations of concepts in a short period of time</li><li>Own or contribute to the investigation and technology maturation of various eye-tracking design approaches</li><li>Drive end-to-end discussions on system assembly process down-selection, prototyping, equipment & tooling needs for high precision assembly meeting mechanical, optical and reliability requirements</li><li>Work closely with external equipment manufacturers, part suppliers, integrators to support technology deployment and product development</li><li>Support process validation studies and proof-of-concept builds</li><li>Apply engineering knowhow in the areas of optics, precision mechanism design & motion control</li><li>Document best practices, SOPs, and cost models by working closely with various cross functional teams</li><li>Drive FMEA, failure analysis, tolerance analysis, gauge R&R, and the GD&T activities supporting product scalability</li></ul>Minimum Qualifications: <ul><li>Mechanical background with proven working knowledge of high precision alignment process development of optical imaging, display or sensing assemblies, as well as prototyping skills, 3D CAD, experience designing and manufacturing consumer technology products</li><li>Prior experience with commercial eyeglass lens design and manufacturing techniques</li><li>Experience with Optomechanics</li><li>Experience working with international equipment vendors and international contract manufacturers</li><li>BS in Mechanical Engineering or equivalent experience</li></ul>Preferred Qualifications: <ul><li>Prior experience owning the design from concept to ship of optical-mechanical components, or equivalent</li><li>Prior experience with eye tracking</li><li>Knowledge of optical-display metrics, such as MTF, contrast, luminance, uniformity etc.</li><li>Experience with design and prototyping of head mounted optics systems</li><li>Knowledge of component/module mounting, interfaces, and adhesive bonding</li><li>Knowledge of structural and stress analysis and FEA</li><li>3+ years of experience designing and deploying high precision assembly tools and processes for optical/imaging devices</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. 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.

System Opto-Mechanical Prototyping Engineer

Meta is seeking a talented attorney to work on our privacy legal team to serve as a subject matter expert on a range of issues related to artificial intelligence. This role includes opportunities to advise Meta's product, business, and legal teams on emerging requirements around artificial intelligence. An ideal candidate for the role will have a solid understanding of core privacy principles and a strong grasp of online technologies. The candidate must be a clear communicator and be able to collaborate across functions, including Meta's product and business teams. You will join a collegial team of lawyers working in a fast-paced environment on exciting, cutting-edge products to identify, evaluate and address privacy risk in light of emerging laws, compliance obligations and policies. Lead Counsel, AI Privacy Responsibilities: <ul><li>Serve as a company expert on global privacy and AI-related laws and regulations</li><li>Intake, assess, and help execute plans for complying with new AI laws</li><li>Help respond to regulatory inquiries and investigations related to AI</li><li>Provide legal advice and day-to-day support to internal stakeholders</li></ul>Minimum Qualifications: <ul><li>J.D. degree (or foreign equivalent) and membership in at least one US state bar</li><li>5+ years of legal experience, including at a law firm and/or in-house experience with internet or technology companies (applicable litigation, regulatory, or product counseling will be considered)</li><li>Business judgment and client counseling experience</li><li>Experience with AI technologies and with global privacy and AI-related laws, regulations, and industry guidelines, especially including those relevant for social media, internet and technology companies</li></ul>Preferred Qualifications: <ul><li>Experience working on AI-powered products</li><li>Experience working proactively, independently and reliably under tight timeframes in a fast-paced environment</li><li>Experience collaborating in a multi-stakeholder environment, navigating complex issues, and driving high-impact projects</li><li>Experience managing complex projects</li><li>Experience demonstrating initiative in driving solutions cross-functionally</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. 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.

Lead Counsel, AI Privacy

Facebook is seeking exceptional candidates to join the Marketing Science team. In this role, you will be leading measurement strategy for one of the most important clients on the Meta platform. We're looking for people with strong analytical, quantitative programming and critical thinking skills as well as familiarity with large data sets and data manipulation tools. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with teams such as Sales, Product, Engineering, Creative Shop, Business Engineering, Product Marketing etc. The candidate should have a strong record at influencing and communicating effectively across multi-layer, multi-org stakeholders and working with individual contributors up to executive level leadership. Marketing Science Partner - Amazon Responsibilities: <ul><li>Manage a highly complex and technical driven client with multiple line of businesses</li><li>Engage with clients and both Meta and client's product and data science partners to measure true business value by building and operationalizing measurement strategies that highlights how the client can improve business outcomes by employing highly customized measurement techniques</li><li>Innovate and drive client, vertical, and industry adoption of preferred measurement methodologies, products, and approaches</li><li>Design tests to showcase the power of good measurement using client data and Meta technology tools</li><li>Conduct in-depth custom ad effectiveness studies and bespoke analyses to understand the relative impact of different marketing strategies across digital platforms and across media</li><li>Provide feedback to and collaborate with Product, Business Engineering and Partnership to identify opportunities for new features, products, and partnerships and drive client engagement around measurement innovation, including product alphas and beta</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in a directly related field, or equivalent practical experience.</li><li>8+ years experience in a directly related field such as data science, marketing science, and/or marketing analytics in media measurement space (6+ years with a Masters or 4+ years experience with a Ph.D)</li><li>Experience independently scoping and executing unprecedented, customized projects with clients and/or cross-functional stakeholders</li><li>Experience analyzing and manipulating data sets using R, Python, SQL and etc. and applying statistics where appropriate to understand patterns and provide insights</li><li>Experience communicating technical content to all types of audiences and influencing at senior levels</li><li>Experience with advertising measurement methods and technologies for direct response outcomes, including field experiments, experimental designs and etc.</li></ul>Preferred Qualifications: <ul><li>Advanced degree in a quantitative field such as engineering, analytics, statistics, or data science related fields</li><li>Experience in leading highly quantitative advanced analytical work</li><li>Demonstrated leadership experience at an industry level and with senior clients</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. 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.

Marketing Science Partner - Amazon

The Generative AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of LLMs, particularly focusing on massive-scale datasets. As a technical leader of our team, you will play a critical role in building our series of LLama models. This year we published and released LLama2 open for research and commercial use, and launched Meta AI in our chat apps and on Ray-Ban Meta Smart Glasses. We're currently training our next-gen model Llama 3, and we're building massive compute infrastructure to support our future roadmap. In addition to supporting the entire LLM ecosystem publicly with the LLama series, Meta AI is building an assistant that is social, more capable, more personal, and more ubiquitous. Research Scientist Manager, Generative AI - LLama Responsibilities: <ul><li>Deliver massive-scale datasets for training the next generation of LLama models</li><li>Drive execution of NLP developing datasets end-to-end, including sourcing, curation, quality filtering, measurement, synthetic data, experiment design, across all sources of knowledge, and more</li><li>Grow a team of domain experts within Language Data Foundation of Generative AI</li><li>Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects</li><li>Remain up-to-date on ongoing research and software development activities in the team, help work through technical challenges, and be involved in design decisions</li><li>Remain deeply involved in the research community, both understanding trends, and setting them</li></ul>Minimum Qualifications: <ul><li>5+ years of hands on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development</li><li>Experience and track of recording in landing large research and/or product impacts in a fast-paced environment</li><li>3+ years of hands on supporting and leading teams of research scientists and software engineers</li><li>Proven technical vision in where the field of generative AI will go</li><li>Experience in developing large-scale AI datasets, models, and/or services</li><li>Experience with cross functional collaboration with product and platform teams, as well as non-engineering functions</li><li>Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management</li></ul>Preferred Qualifications: <ul><li>PhD in deep learning, artificial intelligence, and/or related technical field</li><li>Experience building massive-scale datasets to train NLP and/or multimodal models</li><li>Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.</li><li>Experience and knowledge of large-scale data platforms such as Spark, Hive, etc.</li><li>Experience and knowledge of working with LLM frameworks like LangChain</li><li>Experience and knowledge of training LLMs, fine-tuning on datasets, especially LLaMa</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. 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.

Research Scientist Manager, Generative AI - LLama

The Reality Labs team at Meta enables people around the world to come together and connect through world-class Augmented and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, AR/VR is committed to driving the state-of-the-art forward through relentless innovation. Our teams explore, develop, and deliver new cutting-edge technologies that serve as the foundation of current and future AR/VR products. As an Embedded Software Engineer within Reality Labs, you will develop the software behind some of our flagship AR and VR products, the prototyping platforms that make these products possible, or foster our scientific explorations. You will collaborate with highly diverse teams, threading together newly developed technologies to create intuitive experiences that enhance people's experience of the world around them. Ultimately, we are improving AR/VR experiences through effective utilization of hardware resources i.e. optimization of code (app to system), balancing software across various hardware blocks, as well as designing features to enable higher utilization of hardware. Software Engineer - OS Frameworks (Technical Leadership) Responsibilities: <ul><li>Drive the organization's goal towards building tools, system architecture, prototypes, frameworks and infrastructure for any of the following: operating systems, kernel development, low level debugging, system profiling, sensor/data management, AOSP, performance profiling, that will impact VR and AR product lines.</li><li>Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency.</li><li>Lead and set direction for how Meta Reality Labs develops its capabilities for teams to deliver best-in-class experiences for current and future products.</li><li>Collaborate with cross-functional teams of partners, product managers and engineers in areas like computer vision, machine learning, graphics, hardware and firmware to understand requirements and enhance existing solutions.</li><li>Write clean readable code, debug complex problems that span systems.</li><li>Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the Reality Labs roadmap.</li><li>Partner & collaborate with organizational leaders to help improve the level of performance of the team & organization.</li></ul>Minimum Qualifications: <ul><li>10+ years experience in developing Embedded engineering solutions within a resource constrained environment.</li><li>10+ years of programming experience using C or C++ for day-to-day software development.</li><li>Experience leading consumer-based projects with industry-wide impact.</li><li>Experience with cross-functional partnerships, working across functions to drive solutions.</li><li>Experience in mentoring/influencing senior engineers across organizations.</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Master's degree or PhD in Engineering, Computer Science, or a related technical field.</li><li>Experience with AOSP, Android internals, Frameworks services, HAL or Native libraries, Android SDK, Android NDK, Android JNI, Android IPC mechanisms, Linux OS development.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. 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.

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