Systems Engineering Tutor

🏢 Summary: The role involves working as an AI Tutor specializing in Industrial/Systems Engineering, supporting the training of AI models through high-quality data labeling and task development. The position focuses on collaborating with technical teams, refining annotation tools, and contributing domain expertise to improve model performance in a fast-paced environment. It can be performed remotely with flexible hours depending on project needs. 🗂️ Requirements: Master's or PhD in Industrial or Systems Engineering or related field, Proficiency in written and spoken English, Ability to use software tools for data input and labeling, Ability to navigate databases and online information resources, Strong analytical skills, Ability to interpret and execute tasks based on detailed instructions, Legal eligibility to work without visa sponsorship, Access to Chromebook, MacOS 11+, or Windows 10+ device 📃 Skills: IndustrialEngineering, SystemsEngineering, DataAnnotation, DataLabeling, AI, Databases, TechnicalWriting, English, MacOS, Windows 🏢 Description: About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.ABOUT THE ROLE: xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. As an AI Tutor - Industrial/Systems Engineering specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. RESPONSIBILITIES: Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. BASIC QUALIFICATIONS: Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. PREFERRED SKILLS AND EXPERIENCE: Possess a PhD in Industrial or Systems Engineering. Substantial professional experience working on real-world problems in this domain. Possess experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as an industrial or systems engineer. LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Role focused on improving AI model training by curating high-quality code examples, evaluating and refining AI-generated code, and ensuring enterprise-grade performance and reliability. Involves hands-on software engineering to optimize scalability, efficiency, and quality standards across AI-driven coding solutions. Position can be remote with flexible engagement depending on project needs. 🗂️ Requirements: Professional experience building scalable high-performance applications, Deep expertise in at least one programming language, Strong proficiency with frameworks and libraries, Solid understanding of software design principles, Experience with performance optimization, Experience implementing security standards, Experience implementing accessibility standards, Strong debugging and profiling skills, Hands-on experience with testing frameworks, Experience with containerization technologies, Knowledge of backend systems and APIs, Knowledge of databases and authentication mechanisms 📃 Skills: Programming, Frameworks, Libraries, Scalability, Performance, Security, Accessibility, Debugging, Profiling, Testing, Docker, Containerization, APIs, Databases, Authentication, Analytics, Monitoring, Design 🏢 Description: About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.ABOUT THE ROLE: Contribute to AI model training initiatives by curating code examples, offering precise solutions, and providing meticulous corrections in specialized programming languages. Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks. BASIC QUALIFICATIONS: Professional software engineering experience building scalable, high-performance applications. Deep expertise in one or more programming languages. Strong proficiency in relevant frameworks and libraries. Solid understanding of software design principles, performance optimization, and best practices. Experience implementing quality standards, including accessibility, security, and reliability where applicable. Strong debugging and profiling skills using development tools and performance monitoring. Hands-on experience with testing frameworks and tools relevant to your domain. PREFERRED SKILLS AND EXPERIENCE: The ideal candidate for this role is adaptable, possesses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment. Experience integrating analytics, monitoring, and security best practices relevant to your technical domain. Experience with containerization technologies (e.g., Docker). Knowledge of complementary technologies (e.g., backend systems, APIs, databases, authentication) to enable effective cross-functional collaboration. LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $60/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Opportunity to contribute to AI model training by curating, evaluating, and refining code while ensuring high standards of scalability, performance, and reliability. The role involves improving AI-generated code and collaborating cross-functionally to deliver enterprise-grade coding solutions. Flexible remote work options are available, with compensation based on experience and location. 🗂️ Requirements: Professional experience building scalable, high-performance applications, Deep expertise in at least one programming language, Proficiency in relevant frameworks and libraries, Strong understanding of software design principles, Experience with performance optimization, Experience implementing accessibility, security, and reliability standards, Strong debugging and profiling skills, Hands-on experience with testing frameworks and tools, Legal eligibility to work without visa sponsorship, Access to Chromebook, MacOS 11+, or Windows 10+ device if using personal computer 📃 Skills: Programming, Frameworks, Libraries, Debugging, Profiling, Testing, Docker, APIs, Databases, Authentication, Analytics, Monitoring, Security 🏢 Description: ABOUT THE ROLE: Contribute to AI model training initiatives by curating code examples, offering precise solutions, and providing meticulous corrections in specialized programming languages. Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks. BASIC QUALIFICATIONS: Professional software engineering experience building scalable, high-performance applications. Deep expertise in one or more programming languages. Strong proficiency in relevant frameworks and libraries. Solid understanding of software design principles, performance optimization, and best practices. Experience implementing quality standards, including accessibility, security, and reliability where applicable. Strong debugging and profiling skills using development tools and performance monitoring. Hands-on experience with testing frameworks and tools relevant to your domain. PREFERRED SKILLS AND EXPERIENCE: The ideal candidate for this role is adaptable, possesses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment. Experience integrating analytics, monitoring, and security best practices relevant to your technical domain. Experience with containerization technologies (e.g., Docker). Knowledge of complementary technologies (e.g., backend systems, APIs, databases, authentication) to enable effective cross-functional collaboration. LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $60/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: This role involves working on the most critical product or technical challenges within a cutting-edge AI organization focused on building truth-seeking AI systems. The position requires direct, hands-on contribution to high-impact engineering problems in a fast-paced, meritocratic environment. Candidates will tackle core technical initiatives aligned with advancing AI capabilities. 🗂️ Requirements: Exceptional software engineering skills, Proven ability to solve complex technical problems, Hands-on experience in building and delivering software systems, Ability to work on high-priority product or technical challenges, Strong technical communication skills 📃 Skills: Software, Engineering, AI, Programming, Systems 🏢 Description: About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.ABOUT THE ROLE: You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: You believe truth-seeking AI is the most important and challenging problem. You take pride in your work and thrive in meritocratic environments. You are an exceptional software engineer. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Opportunity for an exceptional software engineer to tackle the most critical product or technical challenges within a high-impact AI environment. The role involves hands-on contribution to core systems and direct influence on cutting-edge AI development. 🗂️ Requirements: Exceptional software engineering ability, Proven experience building and delivering complex software systems, Ability to work on high-priority technical challenges, Hands-on development experience in production environments, Strong technical communication skills 📃 Skills: Programming, Algorithms, DataStructures, Systems, AI, Testing, Debugging 🏢 Description: About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.ABOUT THE ROLE: You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: You believe truth-seeking AI is the most important and challenging problem. You take pride in your work and thrive in meritocratic environments. You are an exceptional software engineer. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: This role involves working on the most critical product or technical challenges, contributing directly to the development of truth-seeking AI systems. The position is hands-on and impact-driven, with clear project ownership defined before the offer stage. It offers a highly competitive compensation package including equity and comprehensive benefits. 🗂️ Requirements: Strong belief in truth-seeking AI as a critical problem, Exceptional software engineering skills, Ability to thrive in meritocratic environments, High work ethic and strong prioritization skills, Strong communication skills, Ability to contribute hands-on to critical technical challenges 📃 Skills: Software, Engineering, AI 🏢 Description: ABOUT THE ROLE: You will work on the most critical product or technical challenge at any given time. You will get clarity on your first project before an offer. BASIC QUALIFICATIONS: You believe truth-seeking AI is the most important and challenging problem. You take pride in your work and thrive in meritocratic environments. You are an exceptional software engineer. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Fullstack/Web Engineer role focused on building and optimizing high-performance, real-time user-facing features for a large-scale social platform. The position emphasizes frontend excellence while contributing across the stack, including scalable backend systems and real-time analytics. You will own features end-to-end, driving architecture, performance, and reliability for globally deployed products. 🗂️ Requirements: 2+ years web development experience, Expertise in TypeScript, Expertise in Node.js, Expertise in React or modern web frameworks, Expertise in CSS/SASS, Experience with UI/UX design, Experience optimizing performance and security, Experience building scalable, high-concurrency systems, Backend development experience, Proficiency in Rust, Go, Java, Python, or Scala 📃 Skills: TypeScript, Node.js, React, CSS, SASS, Rust, Go, Java, Python, Scala, HTML, WebSockets, REST, GraphQL, SQL, NoSQL, Testing, CI/CD, Monitoring, Security 🏢 Description: About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role: We're looking for exceptional Fullstack / Web Engineers that can work across the stack but have a passion for frontend development and a keen eye for design. You'll architect and optimize user-facing features that power real-time conversations for millions worldwide. Dive into cutting-edge technologies and scalable backend systems, collaborating with top-tier talent to push the boundaries of web performance and innovation. You have the ability to thrive in a fast-paced environment, where you proactively tackle high-impact challenges that shape the future of social media—perfect for engineers passionate about crafting seamless, responsive experiences that drive global engagement and redefine digital interaction. Responsibilities: Own and drive features from inception and design to implementation and launch, being the web expert on your team. Build and maintain high-quality, performant products and features, leveraging the most modern and cutting edge web standards, technologies, frameworks, and AI tooling. Responsible for fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems. Uphold engineering excellence via testing, monitoring, deployment, and secure data handling. Drive technical/product decisions with teams and deploy global features to maximize user value. Basic Qualifications: 2+ years of web development experience. Expert in TypeScript, Node.js, and modern web frameworks (e.g., React). Expert in modern CSS/SASS Experience in high-quality UI and UX design Proven track record of optimizing applications for performance, security, and offline functionality. Preferred Skills and Experience: 5+ years of experience in a web frontend role, working on a large scale consumer app. Experience with backend development, proficiency in one or more of the following: Rust, Go, Java, Python, Scala. Compensation and Benefits: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: In-office Product Counsel role supporting AI product and engineering teams with legal guidance on AI, privacy, content regulation, advertising, and international expansion. The position involves cross-functional collaboration to advise on product development, regulatory compliance, and scalable legal processes in a fast-paced environment. Compensation includes equity, comprehensive benefits, and a salary range of $230,000–$275,000 USD. 🗂️ Requirements: 5+ years of legal experience in AI, privacy, consumer protection, or content regulation, JD degree, Bar admission or equivalent in good standing, Ability to provide legal guidance on AI and product-related matters, Strong written and verbal communication skills, Ability to work cross-functionally with engineering, policy, and business teams, In-office full-time availability, Eligibility to comply with U.S. ITAR regulations 📃 Skills: AI, Privacy, Copyright, Advertising, Compliance, Regulation, ConsumerProtection, DataProtection, Legal, ITAR 🏢 Description: ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role Product Counsel are key advisors to product and engineering teams and work cross-functionally across the organization. The role requires a deep understanding of products and business operations, and the ability to provide clear, practical legal advice in a fast-paced environment. Responsibilities - Provide legal advice to product and engineering teams focusing on AI, personalization, interests, creators, ads, and international expansion. - Support teams building AI models and engagement-focused products. - Partner with Legal and Public Policy leadership while understanding how products evolve under global laws. - Build scalable and effective legal review processes for strategic product initiatives. - Collaborate across Legal, Engineering, Safety, Policy, and Business Development teams. - Stay current on U.S. and international laws related to AI, privacy, intellectual property, content regulation, consumer protection, and advertising. Required Qualifications - 5+ years of legal experience in AI, privacy, consumer protection, or content regulation. - Exceptional communication skills with the ability to explain complex ideas clearly and effectively. - JD degree and bar admission or equivalent in good standing. Preferred Qualifications - Regulatory or in-house legal experience. - Solution-oriented and collaborative mindset. - Ability to work effectively in cross-functional teams. - Experience advising consumer platforms in the social media sector on personalization and data protection. Annual Salary Range $230,000 - $275,000 USD Benefits Base salary is one part of the total rewards package and includes equity, comprehensive medical, vision, and dental coverage, 401(k) retirement plan access, short- and long-term disability insurance, life insurance, and additional discounts and perks. ITAR Requirements Applicants must meet U.S. export regulation eligibility requirements, including U.S. citizenship, lawful permanent residency, refugee or asylee status, or eligibility to obtain required authorizations from the U.S. Department of State. xAI is an equal opportunity employer.

🏢 Summary: High-impact compute infrastructure role focused on building and optimizing massive GPU supercomputers for AI training and inference. The position involves low-level systems programming, GPU kernel optimization, Linux kernel internals, orchestration, and distributed infrastructure to improve scalability, reliability, and performance of AI workloads. 🗂️ Requirements: Deep systems programming experience in C/C++ or Rust, Experience with large-scale GPU clusters or distributed compute infrastructure, Hands-on GPU kernel optimization using CUTLASS, custom kernels, or Nsight, Knowledge of Linux kernel internals, scheduling, virtualization, or orchestration, Experience building high-performance AI training or inference infrastructure, Ability to optimize memory-bound and compute-bound workloads, Experience operating exabyte-scale storage systems 📃 Skills: CUDA, CUTLASS, Tensor, Nsight, Linux, KVM, Firecracker, Kubernetes, C++, Rust 🏢 Description: ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack — from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization — to make training and inference as fast, reliable, and scalable as possible. This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate training speed and overall AI progress. RESPONSIBILITIES: - Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads - Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance - Work on Linux kernel internals, scheduling, memory management, and resource isolation at cluster scale - Build custom container orchestration, virtualization layers (KVM, Firecracker, etc.), and distributed systems that go beyond standard Kubernetes - Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operations - Create and maintain infrastructure-as-code, automation, and tools that keep the entire supercomputer reliable and efficient - Collaborate closely with AI research teams to deliver production-grade performance and scalability PREFERRED SKILLS AND EXPERIENCE: - Deep low-level systems programming (C/C++ or Rust) - Experience building and operating high performance exabyte scale storage systems - Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale - Hands-on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling) - Experience with Linux kernel internals, scheduling, virtualization, or large-scale orchestration - Track record of building or running high-performance infrastructure for AI workloads (training or inference platforms) - Ability to reason from first principles and optimize for both memory-bound and compute-bound scenarios COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Equity package - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks xAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: High-impact compute infrastructure role focused on building and optimizing one of the world’s largest AI supercomputers for large-scale training and inference workloads. The position involves low-level GPU optimization, Linux kernel and virtualization work, distributed systems, and orchestration across massive GPU clusters. Engineers will collaborate closely with AI research teams to maximize performance, scalability, and reliability. 🗂️ Requirements: Deep systems programming experience in C/C++ or Rust, Experience with large-scale GPU clusters or distributed compute infrastructure, Hands-on GPU kernel optimization experience, Knowledge of Linux kernel internals, scheduling, virtualization, or orchestration, Experience building high-performance AI infrastructure for training or inference, Ability to optimize memory-bound and compute-bound workloads, Experience with exabyte-scale storage systems 📃 Skills: CUDA, CUTLASS, Tensor, Nsight, Linux, KVM, Firecracker, Kubernetes, C++, Rust, GPU, CUDA, GeMM, Attention 🏢 Description: ABOUT THE ROLE: We are building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack — from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization — to make training and inference as fast, reliable, and scalable as possible. This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate training speed and overall AI progress. RESPONSIBILITIES: - Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads - Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance - Work on Linux kernel internals, scheduling, memory management, and resource isolation at cluster scale - Build custom container orchestration, virtualization layers (KVM, Firecracker, etc.), and distributed systems that go beyond standard Kubernetes - Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operations - Create and maintain infrastructure-as-code, automation, and tools that keep the entire supercomputer reliable and efficient - Collaborate closely with AI research teams to deliver production-grade performance and scalability PREFERRED SKILLS AND EXPERIENCE: - Deep low-level systems programming (C/C++ or Rust) - Experience building and operating high performance exabyte scale storage systems - Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale - Hands-on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling) - Experience with Linux kernel internals, scheduling, virtualization, or large-scale orchestration - Track record of building or running high-performance infrastructure for AI workloads (training or inference platforms) - Ability to reason from first principles and optimize for both memory-bound and compute-bound scenarios COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary plus equity - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks xAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.