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 RoleWe are building AI-powered platforms for transformative applications in education. This work involves creating scalable, AI-driven systems with personalized interactions, adaptive features, content delivery, and analytics to deliver meaningful user experiences at scale.
We're looking for generalist fullstack engineers who thrive on owning significant parts of the system end-to-end: from intuitive user interfaces to robust backend services, data infrastructure, and deep AI integrations.
ResponsibilitiesBuild and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics.Develop backend services, APIs, and data models to support high-volume, multi-user environments.Integrate AI capabilities (tutoring, content generation, personalization) deeply into the platform.Design and implement database schemas and queries for tracking progress, engagement, and reporting.Collaborate on integrations with external systems and data sources to enable comprehensive workflows.Ensure the platform is performant, secure, reliable, and scalable for broad deployment.Work closely with product, design, AI, and domain experts to iterate rapidly based on user feedback and outcome data.Required QualificationsExperienced fullstack engineer comfortable owning features across the entire stack (frontend, backend, database).Strong generalist who can fluidly move between UI/UX implementation, API design, data modeling, and systems architecture.Proficient in modern web technologies (e.g., TypeScript/React/Next.js on the frontend; Python/FastAPI or similar on the backend).Solid experience with relational databases and designing schemas for complex domains.Good eye for UX design and strong attention to detail.Familiarity with large-scale user-facing applications or domain-specific platforms is a strong plus.Passionate about building products that create real-world impact.Excited to work in a fast-moving, high-impact environment with significant ownership.Willingness and ability to travel frequently to the customer site in El Salvador and/or work onsite as required by project needsFull professional fluency in English and Spanish (bilingual), with excellent verbal and written communication skills in both languagesTech StackPrimarily JavaScript/TypeScript and PythonFrontend: React, Next.jsBackend: FastAPI or DjangoDatabase: SQL, RedisInfrastructure: AWS/GCP, Docker, KubernetesOther: REST/GraphQL APIs, real-time features (WebSockets), analytics pipelinesInterview ProcessAfter submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of 2 technical interviews and 1 project deep-dive interview:
Practical coding assessment in a language of your choice.Systems design hands-on: Demonstrate practical skills in a live problem-solving session.Project deep-dive: Present and answer questions about exceptional work that you've done.Meet and greet with the wider team.Our goal is to finish the main process within one week. Final interviews will be conducted in person.
Annual Salary Range$180,000 - $440,000 USD
BenefitsBase 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.
Read LessxAI'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 RoleWe are seeking a highly skilled Senior Infrastructure Engineer to join our US Government Team, focused on designing, building, and operating secure, scalable infrastructure for critical government projects. In this role, you will develop and manage training and inference clusters, as well as highly reliable applications, across bare metal, classified cloud, and hybrid cloud architectures. You will leverage your expertise in Kubernetes and GPU hardware to deliver robust, secure systems that support large-scale AI workloads while meeting stringent federal compliance requirements. This role demands a passion for automation, observability, and ensuring system integrity in a fast-paced, high-security environment.
ResponsibilitiesDevelop and optimize software to provision and manage xAI's infrastructure across on-premise, virtual machine, and classified cloud environments, enabling efficient scaling for US government initiatives.Enhance the reliability, performance, and cost-effectiveness of infrastructure to support large-scale AI and application workloads in secure, classified settings.Collaborate with xAI engineers to understand workload requirements and design tailored solutions that meet government-specific needs and compliance standards.Implement robust observability, monitoring, and security practices to ensure the integrity, availability, and confidentiality of critical systems, adhering to federal protocols.Manage storage infrastructure using Infrastructure-as-Code (IaC) tools such as Pulumi, Terraform, or Ansible, with a focus on secure data handling.Drive system reliability through incident management, postmortems, and the definition of clear SLAs and SLOs, while maintaining security and compliance.This is an in-person role based in Palo Alto, CA or Washington, DC, with up to 50% travel required.Required QualificationsActive Top Secret (TS) security clearance.5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer, or similar role, with a focus on building and maintaining reliable, scalable systems, preferably in secure or government environments.Proficiency in managing storage infrastructure with IaC tools such as Pulumi, Terraform, or Ansible.Deep understanding of the Kubernetes stack, including CNI, CRI, CSI, and related components.Demonstrated ability to improve system reliability through incident management, postmortems, and defining SLAs/SLOs.Excellent communication and documentation skills, with the ability to handle sensitive information concisely and accurately.Preferred QualificationsDeep familiarity with installing and using GPU hardware, including setting up drivers, debugging issues, and ensuring reliability.Experience with high-traffic web or mobile application workloads, including optimizing Kubernetes for large-scale deployments in classified or federal settings.Familiarity with chaos engineering, capacity planning, or similar practices for ensuring system resilience in government projects.Proficiency with tools such as Kyverno, ArgoCD, or Go programming for infrastructure automation.Strong sense of ownership, curiosity, and enthusiasm for tackling complex technical challenges in secure environments.Passion for problem-solving and a proactive drive to deliver impactful results while adhering to security protocols.Certifications in security-related fields (e.g., CISSP) or experience in secure federal environments.Interview ProcessAfter submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes:
Technical deep-dive: Discussing your infrastructure and secure systems experience.A hands-on challenge focused on designing or troubleshooting infrastructure for secure environments.A meet-and-greet with the wider team.Our goal is to complete the main interview process within one week.
Annual Salary Range$180,000 - $440,000 USD
BenefitsBase 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.
Read LessxAI'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 multimedia engineers and product thinkers who want to make Grok's realtime avatar products the best in the world.
What You'll Do
Make Grok's realtime avatar products fast, scalable, and reliable.Help push forward audio and gameplay research and deploy breakthrough innovations to millions of users.Obsess over every millisecond and byte, ensuring end-to-end quality and performance at scale across a rich suite of products and user platforms.Who You Are
Well-versed in low-latency systems and protocols like WebSocket and WebRTC.Expert in Python, and preferably proficient in Rust.Some iOS experience preferable.In-depth knowledge and experience building high performance media processing pipelines.Obsessed with media quality, performance, and product experience.Tech Stack
Python, Rust, WebSocket, WebRTCInterview Process
After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-30 minutes phone interview, during which a member of our team will ask technical questions. If you clear the phone interview, you will proceed to next steps:
Deep dive coding challengeMeet and greet with the wider teamOur goal is to complete the process within one week. All interviews will be conducted in person when applicable.
Location
The role is based in Palo Alto. Candidates are expected to be located near the Bay Area or open to relocation.
Annual Salary Range
$180,000 - $440,000 USD
BenefitsBase 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.
Read LessxAI'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 RoleYou will work directly with our enterprise customers, owning the strategy and execution of Vision or Video Understanding integrations. You'll act as a specialized AI startup CTO, focusing on vision-driven technologies, leading high-stakes projects, and delivering measurable impact. If you excel at combining deep technical expertise with customer-focused innovation, particularly in the Vision domain, we'd love to hear from you. Your day-to-day work may include:
Designing and building end-to-end AI solutions, from understanding customer pain points to scoping product specs and deploying VLM-powered vision interfaces.Benchmarking vision models, writing evaluations, or analyzing performance to identify weaknesses in image recognition, object detection, or visual understanding.Improving model performance through system prompt tuning and fine-tuning VLMs.Working with multimodal teams to generate data for development efforts.Generating synthetic data or kicking off campaigns to generate human data with the help of our AI tutors.Analyzing vision request logs, image data, or video inputs to enhance system accuracy and user experience.Building internal tools to automate VLM workflows, such as image processing pipelines or real-time visual analysis.FocusDeep expertise in working with vision or video understanding models, delivering robust and scalable solutions.Ability to handle ambiguity, adapt to evolving requirements, and prioritize effectively in a fast-paced startup setting.Exceptional communication skills to clarify specific requirements with customers and drive projects to successful completion.Emphasis on designing, implementing, and maintaining efficient architectures, including image recognition, object detection, and real-time visual processing.Proficiency in managing complex codebases and optimizing vision data pipelines for high-throughput, low-latency performance.Define critical benchmarks for Vision or Video Understanding performance: Establish key performance benchmarks tailored to enterprise vision use cases, such as image classification accuracy, object detection precision, and real-time latency, reflecting customer data distributions.Initiate human data collection: Design and manage campaigns to acquire high-quality image and video data from diverse enterprise contexts, supporting model training and validation.Drive Vision model integration with enterprise partners: Collaborate with cross-functional teams to integrate Vision capabilities into enterprise workflows, enabling seamless adoption in areas like automated quality control, surveillance, and augmented reality.RequirementsAn ideal candidate meets at least the following:
Strong engineering background.Experience interfacing between technical and customer-facing teams.Excellent verbal and written communication skills in English.Ability to translate business and vision-specific product needs into technical solutions.Proven experience implementing VLM or machine learning products, including APIs, back-end, and front-end vision interfaces.Strong proficiency in Python and/or TypeScript.Solid understanding of HTTP protocol and real-time communication protocols (e.g., WebRTC for video streaming).Standout ExperiencesCandidates may distinguish themselves with:
Building evaluations for Vision capabilities, such as image recognition accuracy or robustness of object detection.Demonstrating expertise in machine learning fundamentals, including vision model evaluation, training, or fine-tuning.Deploying Vision models to production, optimizing for low-latency and high-reliability environments.Writing developer documentation or creating vision-specific SDKs.Working with large-scale image or video datasets, optimizing vision processing pipelines, or scaling systems for enterprise-grade workloads.Using infrastructure tools like Pulumi or Terraform for deploying Vision systems.Interview ProcessAfter submitting your application, our team reviews your CV and Statement of Exceptional Work. If selected, you'll be invited to a 15-minute technical phone interview where we'll discuss your background in VLMs/LLMs. Successful candidates proceed to the main process:
15 min Technical Screen2x 45 min Coding Interview (focused on Vision models or related challenges)The Statement of Exceptional Work is a critical factor in our evaluation.
We aim to complete the main process within one week. All applications are reviewed by our technical team, not recruiters. Interviews are conducted via Google Meet or in-person.
Annual Salary Range$180,000 - $440,000 USD
BenefitsBase 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.
Privacy Policy
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Read LessxAI'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.
Tech StackPython / RustPyTorch / JAXCUDA / CUTLASS / Triton / NCCLKubernetesSGLang: This team is actively working on one of the most popular open-source inference engines, SGLang. You have the opportunity to work on open-source projects. LocationThe role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation.
FocusOptimizing the latency and throughput of model inference.Building reliable and performant production serving systems to serve billions of users.Accelerating research on scaling test-time compute and rollout in reinforcement learning training.Model-hardware co-design for next-generation architecturesIdeal ExperiencesWorked on system optimizations for model serving, such as batching, caching, load balancing, and parallelism.Worked on low-level optimizations for inference, such as GPU kernels and code generation.Worked on algorithmic optimizations for inference, such as quantization, distillation, and speculative decoding, and low-precision numerics.Worked on large-scale inference engines or reinforcement learning frameworks.Worked on large-scale, high-concurrent production serving.Worked on testing, benchmarking, and reliability of inference services.Interview ProcessAfter submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:
Coding assessment in a language of your choice.Systems hands-on: Demonstrate practical skills in a live problem-solving session.Project deep-dive: Present your past exceptional work to a small audience.Meet and greet with the wider team.Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.
Annual Salary Range$180,000 - $440,000 USD
Benefits
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.
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