Reliability Engineer (Data Center Infrastructure)

🏢 Summary: Senior Infrastructure Engineer role focused on building and operating secure, scalable AI infrastructure for US government projects across bare metal and classified cloud environments. The position involves Kubernetes-based infrastructure management, GPU cluster operations, observability, automation, and compliance-driven reliability engineering. This is an in-person role in Palo Alto or Washington, DC with up to 50% travel. 🗂️ Requirements: Active Top Secret (TS) security clearance, 5+ years of infrastructure or site reliability engineering experience, Experience building and maintaining scalable systems, Proficiency with Pulumi, Terraform, or Ansible, Deep knowledge of Kubernetes, CNI, CRI, and CSI, Experience with incident management and SLAs/SLOs, Strong communication and documentation skills, Ability to work in secure or government environments, Willingness to travel up to 50%, On-site availability in Palo Alto, CA or Washington, DC 📃 Skills: Kubernetes, CNI, CRI, CSI, Pulumi, Terraform, Ansible, GPU, Kyverno, ArgoCD, Go, IaC, Observability, SLA, SLO 🏢 Description: SpaceXAI'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 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. RESPONSIBILITIES: - Develop 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. BASIC QUALIFICATIONS: - Active 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 SKILLS AND EXPERIENCE: - Deep 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. 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 & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Media engineering role focused on building and optimizing large-scale video services integrated with advanced AI infrastructure for a platform serving hundreds of millions of users. The position involves rebuilding media processing and distribution pipelines using high-performance languages and improving video quality, streaming, and real-time communication systems at scale. Candidates should have strong distributed systems experience and deep expertise in modern media technologies. 🗂️ Requirements: 5+ years of experience, Proficiency in C++ or Go, Knowledge of WebRTC, LL-HLS, or video transcoding pipelines, Experience with scalable distributed systems, Strong media quality and performance optimization skills, Strong communication skills 📃 Skills: Go, C++, Rust, Java, Scala, Kubernetes, FoundationDB, ValKey, Envoy, S3, WebRTC, LL-HLS, H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, HDR, DRM 🏢 Description: SpaceXAI'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 media engineers who want to join us on a new project to deeply integrate xAI's advanced AI infrastructure into a platform used by around 600 million users every month. We're bringing xAI's technology stack and using it to transform the video product experience - video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to contribute in a major way while leveraging all of the powerful AI tools and talented colleagues at xAI. RESPONSIBILITIES: - Build the next generation of large-scale video services - Contribute to and rebuild core media processing and distribution pipelines in high-performance languages (Rust, C++ or Go) - Obsess over every millisecond and pixel, ensuring end-to-end media quality and performance at scale across a rich suite of products and user platforms BASIC QUALIFICATIONS: - At least 5 years of experience - Obsessed with media quality, performance, and product experience - Proficient in high performance C++ or Go - In-depth knowledge of either WebRTC or LL-HLS or video transcoding pipelines - Familiar with building and running scalable and resilient distributed systems PREFERRED SKILLS AND EXPERIENCE: - Go, C++, Rust, Java, Scala - Kubernetes, FoundationDB, ValKey, Envoy, S3 - H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, LL-HLS, HDR, DRM 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 & long-term disability insurance, life insurance, and various other discounts and perks. Equal opportunity employer. Recruitment Privacy Notice available.

🏢 Summary: Recruiting Coordinator role in a fast-paced AI startup environment focused on coordinating interviews, managing candidate logistics, maintaining recruiting data, and improving hiring processes. The position requires strong organizational and communication skills, adaptability, and the ability to manage multiple priorities while ensuring a positive candidate experience. 🗂️ Requirements: Bachelor's degree or equivalent, Experience working in a fast-paced environment, Strong organizational and project management skills, Ability to manage multiple ongoing projects, Strong written and verbal communication skills, Ability to adapt to shifting priorities, Experience in recruiting or people operations, Availability to work overtime as needed, Eligibility to work under ITAR regulations 📃 Skills: Greenhouse, Recruiting, Scheduling, Coordination, Communication, Organization, Multitasking, ProjectManagement 🏢 Description: SpaceXAI'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 individuals with a knack for attention to detail, organization, and coordination. Our Recruiting Coordinators handle everything from scheduling interviews to tracking candidate data and ensuring that candidates have a lasting positive experience throughout the interview process. The ideal candidate has interest and may have experience working in a fast-paced, startup-like environment while wearing multiple hats to ensure our candidates have a positive experience at every stage of the recruiting process. Availability, flexibility, and adaptability are the keys to success in this role. RESPONSIBILITIES: - Play a crucial role within a fast-paced environment while working to coordinate and manage onsite and virtual candidate interviews - Schedule candidate interviews and handle any type of candidate logistics promptly and accurately - Represent and facilitate exceptional partnerships with all stakeholders, candidates, hiring managers, and interviewers to drive excellent customer service and consistent, high-quality work - Drive and participate in process improvement initiatives and other special projects - Ensure data integrity by updating candidate records in the applicant tracking system, Greenhouse - Evaluate and recommend recruitment strategies and solutions to make our processes more efficient BASIC QUALIFICATIONS: - Bachelor's degree or equivalent PREFERRED SKILLS OR QUALIFICATIONS: - Excellent organizational, project management, and multitasking abilities - Strong interpersonal and communication skills - Previous experience in a fast-paced environment - Ability to manage multiple on-going projects, be flexible to change, and adapt to shifting priorities - Team player with a high sense of urgency - Excellent written and oral communication skills - Prior experience in people operations or recruiting functions ADDITIONAL REQUIREMENTS: - Available to occasionally work overtime, as schedules vary with operational needs; flexibility is key COMPENSATION AND BENEFITS: - $80,000 - $100,000 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 & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a U.S. citizen or national, U.S. lawful permanent resident, Refugee, Asylee, or be eligible to obtain the required authorizations from the U.S. Department of State.

🏢 Summary: AI network software engineering role focused on building automation-first tools and services for large-scale GPU supercomputing network fabrics. The position involves developing scalable network management systems, implementing infrastructure-as-code practices, and improving deployment reliability for AI training and inference environments. 🗂️ Requirements: Deep experience collaborating with network engineers, Strong knowledge of network topologies, Strong knowledge of network protocols, Experience designing scalable and reliable software systems, Ability to orchestrate large-scale network devices, Experience with infrastructure-as-code practices, Strong communication skills, Ability to work hands-on in ambiguous environments 📃 Skills: Python, Go, TCP/IP, BGP, RDMA, IaC, Networking, Automation 🏢 Description: SpaceXAI'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 As part of the Network Software and Services for AI (nssAI) team at xAI, you'll build cutting-edge software, services, and frameworks to empower our Network Development Engineers. Working hands-on, you'll tackle all facets of network management—metric collection, configuration, zero-touch provisioning, monitoring, and auto-remediation—driving automation-first solutions for production and ancillary networks. Expect to develop extensible tools, streamline complex processes, and ensure rock-solid reliability to support AI-driven scientific discovery. Focus - Building software and tools with extensive metrics coverage for large GPU supercomputing network fabrics used for AI training and customer inference queries. - Implementing IaC best practices, enhancing deployment pipelines, and ensuring robust, secure service delivery across production environments. Preferred Skills and Experience - Deep experience collaborating with network engineers using extensive knowledge of network topologies and network protocols. - Expert knowledge and proven history designing scalable and reliable software systems from the ground up. - Ability to build and orchestrate tens of thousands of network devices efficiently. - Ability to thrive in ambiguity and create metrics that help prioritize team focus. Tech Stack - Python - Go - TCP/IP - BGP - RDMA Annual Salary Range - $150,000 - $250,000 base Benefits - Equity package - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Media engineering role focused on building and optimizing large-scale video services integrated with advanced AI infrastructure for a platform serving hundreds of millions of users. The position involves rebuilding media processing and distribution pipelines, improving video quality and performance, and working with scalable distributed systems using high-performance languages. 🗂️ Requirements: 5+ years of experience, Proficiency in C++ or Go, Experience with WebRTC, LL-HLS, or video transcoding pipelines, Experience building scalable distributed systems, Strong focus on media quality and performance, Strong communication skills 📃 Skills: Go, C++, Rust, Java, Scala, Kubernetes, FoundationDB, ValKey, Envoy, S3, WebRTC, LL-HLS, H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, HDR, DRM 🏢 Description: SpaceXAI'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 media engineers who want to join us on a new project to deeply integrate xAI's advanced AI infrastructure into a platform used by around 600 million users every month. We're bringing xAI's technology stack and using it to transform the video product experience - video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to contribute in a major way while leveraging all of the powerful AI tools and talented colleagues at xAI. RESPONSIBILITIES: - Build the next generation of large-scale video services - Contribute to and rebuild core media processing and distribution pipelines in high-performance languages (Rust, C++ or Go) - Obsess over every millisecond and pixel, ensuring end-to-end media quality and performance at scale across a rich suite of products and user platforms BASIC QUALIFICATIONS: - At least 5 years of experience - Obsessed with media quality, performance, and product experience - Proficient in high performance C++ or Go - In-depth knowledge of either WebRTC or LL-HLS or video transcoding pipelines - Familiar with building and running scalable and resilient distributed systems PREFERRED SKILLS AND EXPERIENCE: - Go, C++, Rust, Java, Scala - Kubernetes, FoundationDB, ValKey, Envoy, S3 - H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, LL-HLS, HDR, DRM COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Applied Engineer role focused on building and scaling recommendation systems, ranking algorithms, and AI-driven search technologies for products serving hundreds of millions of users. The position involves developing machine learning infrastructure, real-time experimentation, and large-scale deep learning applications using modern AI frameworks and data systems. 🗂️ Requirements: Knowledge of Kafka, Clickhouse, and Spark, Experience implementing recommender systems at industrial scale, Experience with deep learning applications at industrial scale, Proficiency in JAX or PyTorch, Ability to design scalable machine learning systems, Strong communication skills, Hands-on engineering approach 📃 Skills: Kafka, Clickhouse, Spark, JAX, PyTorch, CUDA, Python, AI, ML 🏢 Description: SpaceXAI'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 seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with an engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You'll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences. RESPONSIBILITIES: - Designing and architecting recommendation algorithms across various product surfaces - Leverage all of xAI's infra and AI stacks to dramatically enhance the user experience - Write data pipelines and training jobs that continuously learn from product data - Iterate and improve the algorithm by gathering user feedback in real time through experimentation - Ensuring scalability and efficiency of machine learning systems BASIC QUALIFICATIONS: - Knowledge of data infrastructure like Kafka, Clickhouse, and Spark - Experienced in implementing recommender systems and/or deep learning applications at industrial scale - Skilled in one or more DL software frameworks such as JAX or PyTorch - Exceptional candidates may be experienced in writing CUDA kernels COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is one part of the total rewards package and includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, and additional discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on developing and optimizing reinforcement learning training infrastructure for large-scale workloads, from experimentation to production systems. The position involves improving scalability, observability, and end-to-end training performance in distributed environments. 🗂️ Requirements: Experience with large-scale distributed systems, Ability to debug and optimize system efficiency, Problem-solving across all levels of the stack, Proficiency in Python, Proficiency in Jax, Rust, or C++, Strong communication skills 📃 Skills: Python, Jax, Rust, C++, RL, LLM 🏢 Description: SpaceXAI'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: The RL infrastructure team is looking for an engineer to help develop our RL training framework. RESPONSIBILITIES: - Design and implement the systems backing all RL workloads, from small scale ablations to production training runs - Profile, debug, and optimize end-to-end training performance - Improve scalability and observability of the RL stack BASIC QUALIFICATIONS: - Experience building, debugging, and optimizing efficiency of large-scale distributed systems - Comfortable diving into unfamiliar areas and solving problems at all levels of the stack - Proficiency in Python, Jax, Rust, and/or C++ PREFERRED SKILLS AND EXPERIENCE: - Experience with large scale LLM training infrastructure - Strong knowledge of reinforcement learning techniques - Experience with RL numerics 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 SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: HR Business Partner role supporting technical and non-technical teams in a fast-paced AI organization, focused on talent strategy, organizational design, employee relations, and performance management. The position involves partnering with leadership on hiring, compensation, employee development, and people analytics. Offers competitive compensation, equity, and comprehensive benefits. 🗂️ Requirements: 4+ years experience as HR generalist or HRBP, Experience in fast-paced high-growth environments, Experience supporting technical teams, Strong problem-solving and analytical skills, Excellent interpersonal and influencing skills, Ability to build relationships across organizational levels, Experience partnering on global HR issues, Excellent verbal and written communication skills, Organizational consulting skills 📃 Skills: HRBP, HR, Analytics, Compensation, Benefits, Recruitment, Onboarding, Reporting, OrganizationalDesign, PerformanceManagement 🏢 Description: SpaceXAI'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: The HR Business Partner team is a key partner in helping scale the organization and support its talented employees. We work closely with senior leaders and their teams with the full lifecycle of an employee from onboarding, career development, recognition, performance management, org design and more. We help steer important decisions, and operate with urgency in ensuring that all of our teams are able to perform at their very best. In this role you will support both Technical and Non-Technical teams. RESPONSIBILITIES: - Strategize with managers on talent from recruitment strategy and skill needs, to employee relations, rewards and recognition, and employee morale and satisfaction. - Regularly track people data and identify trends and patterns on hiring, attrition, employee feedback, and compensation. - Partner with compensation and benefits teams in administering and evaluating our rewards programs, and ensuring employees are educated and familiar with our offerings. Identify areas we can continue to enhance and improve. - Provide partnership in organizational design through re-orgs, management changes, leveling & titles, and data & reporting. - Give critical and direct feedback to managers on areas of opportunity so they can continue to grow and lead at a high level. Understand their organizations and products, to better help influence your recommendations and guidance. BASIC QUALIFICATIONS: - 4+ years as an HR generalist/HRBP with exposure/experience across other fields within HR or related discipline. - Experience working in a fast-paced, high growth, dynamic business environment; experience in the tech industry and supporting technical teams highly desired. - Strong problem-solving, critical/analytical thinking abilities. - Outstanding interpersonal and influencing skills; demonstrated ability to develop relationships and influence at multiple levels within the organization. - Demonstrated ability to partner with team members outside of the US on global issues. - Excellent communication (verbal and written) skills and organizational consulting skills. PREFERRED SKILLS AND EXPERIENCE: - Motivated by complexity and challenges. - Comfortable in ambiguity and able to make sound decisions. - High energy and adaptable in fast-paced environments. - Strong learning agility and understanding of people dynamics, business models, and talent processes. COMPENSATION AND BENEFITS: - $110,000 - $140,000 USD. - Equity package. - Medical, vision, and dental coverage. - 401(k) retirement plan. - Short and long-term disability insurance. - Life insurance. - Additional discounts and perks. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a U.S. citizen or national, lawful permanent resident, refugee, asylee, or eligible to obtain required authorization from the U.S. Department of State. SpaceXAI is an equal opportunity employer.

🏢 Summary: Data Engineer role focused on building and operating large-scale realtime and batch data platforms that process billions of events daily. The position involves developing distributed data pipelines, analytics infrastructure, and internal data products while collaborating across product, AI, and business teams. Candidates should have strong experience in distributed systems, data processing frameworks, and backend programming languages. 🗂️ Requirements: 3+ years of professional software engineering experience, Experience in data engineering or distributed systems, Hands-on expertise in Python, Rust, Scala, Go or Java, Knowledge of Spark, Knowledge of Kafka, Knowledge of Flink, Knowledge of SQL, Experience with RDBMS and NoSQL storage systems, Experience solving large-scale engineering problems, Ability to translate product requirements into engineering implementation plans, Strong cross-functional communication skills 📃 Skills: Python, Rust, Scala, Go, Java, Spark, Kafka, Flink, SQL, BigQuery, Trino, Clickhouse, Scalding, RDBMS, NoSQL 🏢 Description: SpaceXAI'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: As a Data Engineer in X product engineering team, you will play a key role in providing comprehensive data solutions that own or serve a wide range of stakeholders, including our end-users and internal teams such as Product engineering, Algorithm, Legal, Finance and Sales. Our work utilizes AI, distributed computing and hybrid storage technologies, but extends beyond purely data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base. RESPONSIBILITIES: You'll help build and operate a distributed data platform that powers hundreds of realtime and batch pipelines processing billions of events per day. The team runs like an internal startup — we own problems end to end, from raw event streams to the datasets, tooling, and metrics that product, growth, safety, and business teams depend on daily. In this role you will: - Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions. - Create shared datasets, fact tables, and internal data products that let other teams analyze, debug, and improve product performance. - Prototype and build tooling that automates and accelerates internal data workflows — backfills, dashboards, report generation, and self-serve access to data. - Own data correctness end to end: validate with output invariants, denominator reconciliation, and independent recomputation, and lead root-cause investigations when key metrics move unexpectedly. - Move fluidly across query engines and frameworks (e.g., BigQuery, Trino, Clickhouse for analytics; Flink, Kafka, Spark/Scalding for streaming and batch), choosing the right tool and adapting quickly to new infrastructure and environments. - Partner across product and business teams to surface where data gaps exist and prioritize the highest-impact opportunities for new data acquisition and improvement. - Iterate quickly on feedback, shipping the smallest useful increment with a strong bias toward efficient, accurate, and reliable solutions. BASIC QUALIFICATIONS: - 3+ years of professional software engineering experience, ideally in data engineering or distributed systems. - Hands-on expertise in Python, Rust, Scala, Go or Java, and data pipeline tooling and distributed systems. - Knowledge of realtime and batch data processing tools such as Spark, Kafka, Flink, SQL and various storage systems in RDBMS and NoSQL. - Experience solving large scale problems and building new systems for future quality improvements. - Proven ability to interpret product requirements into engineering implementation plans. - Effective communication skills across AI, product, marketing, sales, and engineering teams. COMPENSATION AND BENEFITS: - $125,000 - $400,000 USD base salary - Equity package - Comprehensive medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Full-time onsite Energy Storage Asset Manager role focused on operating, maintaining, and optimizing a large-scale Tesla Megapack energy storage fleet supporting AI infrastructure in Memphis. The position involves real-time performance monitoring, coordination with Tesla Field Service, maintenance oversight, data analysis, and ensuring reliability and safety of mission-critical power systems. Candidates should have experience with high-voltage energy infrastructure, vendor coordination, and operational support in industrial or data center environments. 🗂️ Requirements: Experience coordinating OEM field service teams, Experience managing vendor relationships, Experience with maintenance planning for high-voltage energy infrastructure, Experience with asset management, Knowledge of regulatory compliance for energy infrastructure, Strong organizational skills, Strong communication skills, Ability to work onsite in an industrial or data center environment, Availability for evenings, weekends, and on-call support, Ability to lift 25+ pounds and work at heights, Background check eligibility 📃 Skills: Megapack, Tesla, Python, SQL, HVAC, Transformers, Electrical, FireProtection, AssetManagement, DataAnalysis, Firmware, Compliance 🏢 Description: SpaceXAI'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 seeking a highly organized and technically skilled Energy Storage Asset Manager to own the performance, reliability, and maintenance of our Megapack energy storage fleet supporting xAI's AI infrastructure in Memphis. You will serve as the primary owner of day-to-day operations, service coordination with Tesla, and long-term asset optimization for one of the largest and most critical battery deployments powering AI training. This is a full-time, onsite role based in Memphis, Tennessee. RESPONSIBILITIES: - Monitor the health and performance of the existing Megapack fleet in real time, tracking key metrics such as availability, energy throughput, efficiency, temperature, alarms, and state of health. - Create and manage Tesla service tickets for technical issues, providing detailed logs, data, and documentation to enable fast and effective resolution. - Act as the primary point of contact and liaison with Tesla Field Service technicians, offering onsite coordination to remove blockers, support efficient execution, and ensure high-quality, timely completion of work. - Escalate critical or complex issues to Tesla support engineering or management when necessary, while actively driving resolution and minimizing downtime. - Help control and optimize Megapack operations to best support xAI's power demands and AI infrastructure requirements. - Own all maintenance activities for Megapack transformers, including identifying manufacturer-recommended schedules, coordinating with transformer manufacturers and contractors, and overseeing execution of preventive and corrective maintenance. - Lead the design and placement of O&M infrastructure (access platforms, cooling, electrical tie-ins, fire protection, etc.) to ensure long-term serviceability and reliability. - Schedule, coordinate, and oversee all preventive maintenance, firmware updates, and corrective repairs performed by Tesla. - Perform site inspections, quality assurance checks, and post-maintenance validation to ensure work meets xAI standards and safety requirements. - Analyze performance data to identify trends, degradation patterns, and optimization opportunities; collaborate with Tesla and internal xAI teams on improvements. - Maintain comprehensive records of maintenance activities, service reports, downtime events, spare parts usage, and key performance metrics. - Support the commissioning of new Megapack deployments and their integration with xAI facilities. - Ensure full compliance with all safety protocols, Tesla procedures, manufacturer guidelines, and local regulations. - Participate in root-cause analysis for incidents and contribute to continuous improvement of Megapack operations and maintenance strategies. - Provide on-call support for urgent operational and maintenance issues as required. BASIC QUALIFICATIONS: - Proven track record coordinating with OEM field service teams and managing vendor relationships in a mission-critical environment. - Experience with maintenance planning, asset management, and regulatory compliance for high-voltage energy infrastructure. - Excellent organizational and communication skills with the ability to drive issues to resolution under time pressure. - Comfortable working onsite in an industrial/data center environment. PREFERRED SKILLS AND EXPERIENCE: - Direct experience with Tesla Megapack deployment, operations, and service processes. - Background in data center power infrastructure or hyperscale energy management. - Familiarity with transformer maintenance, high-voltage electrical systems, and fire protection standards. - Data analysis skills (Python, SQL, or similar) for performance trending and optimization. - Knowledge of local Memphis-area regulations and utility requirements. - Previous experience in 24/7 operational environments with on-call responsibilities. ADDITIONAL REQUIREMENTS: - Position is subject to pre-employment and annual post-employment background checks. - Comfortable working in an environment requiring exposure to noise and industrial conditions. - Available to work evenings, weekends, and provide on-call support as needed for urgent operational issues. - Ability to lift 25+ pounds and work at heights when performing site inspections. 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