Asset Manager, Energy Storage

🏢 Summary: Full-time onsite Energy Storage Asset Manager role overseeing the performance, maintenance, and optimization of a large Tesla Megapack fleet supporting AI infrastructure in Memphis. The position focuses on real-time monitoring, service coordination, preventive maintenance, operational reliability, and collaboration with Tesla field teams in a mission-critical environment. Candidates should have experience with high-voltage energy infrastructure, asset management, and data-driven operational analysis. 🗂️ Requirements: Experience coordinating OEM field service teams, Vendor management in mission-critical environments, Maintenance planning for high-voltage energy infrastructure, Asset management experience, Regulatory compliance knowledge, Strong organizational skills, Strong communication skills, Ability to work onsite in industrial/data center environments, Availability for on-call, evening, and weekend support, Ability to pass background checks, Ability to lift 25+ pounds, Ability to work at heights 📃 Skills: Megapack, Tesla, Python, SQL, HVAC, Transformers, FireProtection, Electrical, AssetManagement, Maintenance, DataAnalysis, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Environmental Engineer role supporting large-scale AI infrastructure and supercomputing facilities with a focus on environmental compliance, permitting, audits, and resource optimization. The position involves managing environmental programs, hazardous waste, air and water permits, and collaborating with engineering and operations teams in a fast-paced expansion environment. This is an on-site role in Memphis with relocation support available. 🗂️ Requirements: Bachelor's degree in environmental engineering, environmental science, or related field, 2+ years of experience in environmental and regulatory compliance programs, Knowledge of federal and Tennessee environmental regulations, Experience with air permitting and emissions compliance, Experience with SWPPP, SPCC, and wastewater permitting, Ability to manage multiple projects in fast-paced environments, Strong written and verbal communication skills, Ability to obtain required background checks or site access credentials 📃 Skills: EPA, TDEC, SWPPP, SPCC, TRI, NSPS, TitleV, BMPs, Wastewater, Permitting, Compliance, Auditing, Emissions, Stormwater, Hazmat 🏢 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 Environmental Engineer will support the operations and continued expansion of xAI's large-scale AI infrastructure and supercomputing facilities in the Memphis area. This role is critical in ensuring environmental compliance while enabling rapid scaling of compute capacity to meet aggressive deployment timelines. The ideal candidate will serve as a subject matter expert to mitigate environmental risks, optimize resource use (especially water and energy), and maintain full regulatory compliance in a fast-paced, high-growth environment. RESPONSIBILITIES: - Develop, implement, and continuously improve environmental programs at xAI's Memphis-area facilities. - Maintain compliance with all applicable federal, state, and local regulations established by the EPA, TDEC (Tennessee Department of Environment and Conservation), Shelby County Health Department, and other relevant agencies. - Track, review, and interpret new and proposed environmental laws and regulations, providing clear guidance to leadership and engineering teams. - Perform regular environmental audits and inspections to ensure ongoing compliance. - Manage the hazardous materials and waste management program, including recordkeeping, tracking software, Tier II, TRI, and other required reporting. - Maintain site operational compliance plans, including Storm Water Pollution Prevention Plan (SWPPP), Spill Prevention, Control, and Countermeasures (SPCC), industrial wastewater discharge permits, and air emissions permits. - Support planning for facility expansions, new equipment installations, and modifications to ensure they meet all permitting and regulatory requirements. - Coordinate and manage environmental contractors for permitting, testing, monitoring, and reporting. Review and maintain all associated documentation. - Collaborate closely with engineering, construction, operations, and facilities teams across the site to integrate environmental considerations into design and daily operations. BASIC QUALIFICATIONS: - Bachelor's degree in environmental engineering, environmental science, or a related field. - 2+ years of experience in the design, development, and execution of environmental and regulatory compliance programs (internship and project experience count). PREFERRED SKILLS AND EXPERIENCE: - Bachelor's or Master's degree in Environmental Engineering or a closely related discipline. - Experience in dynamic, high-growth industrial or data center environments. - Strong knowledge of Tennessee and federal environmental regulations, particularly air permitting (including combustion turbines and stationary sources), water usage and wastewater, stormwater management, and hazardous waste. - Experience developing and maintaining air emissions permits, including New Source Performance Standards (NSPS) and Title V or synthetic minor permits. - Hands-on experience with SWPPPs, Best Management Practices (BMPs), industrial wastewater permitting, and SPCC plans. - Proficiency handling technical data, emissions calculations, and regulatory interpretation to deliver practical, actionable solutions. - Excellent written and verbal communication skills with the ability to influence cross-functional teams. - Demonstrated ability to manage multiple projects simultaneously in a high-pressure, fast-moving environment while driving continuous improvement. ADDITIONAL REQUIREMENTS: - This is an on-site position based in Memphis, TN. Relocation support is available for candidates not already local. - Position may occasionally require extended hours or weekend work during critical project phases or audits. - Ability to obtain and maintain any required background checks or site access credentials. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on designing, commissioning, and maintaining advanced facility and data center infrastructure with an emphasis on HVAC and fluid systems reliability. The position involves predictive maintenance, root-cause investigations, equipment optimization, and support for critical infrastructure operations in a high-performance engineering environment. 🗂️ Requirements: Bachelor's degree in engineering, 1+ years of experience with fluid system components, Experience with valves, Experience with pumps, Experience with compressors, Experience with heat exchangers, Experience with pressure transducers, Experience with temperature sensors, Hands-on experience with fluid handling systems, Experience with HVAC systems, Experience with data acquisition and test instrumentation, Experience with CAD software, Knowledge of GD&T, Ability to work independently, Strong communication skills 📃 Skills: HVAC, NX, CAD, GD&T, ASME, COPVs, Valves, Pumps, Compressors, Transducers, Thermocouples, RTDs, Relays, Instrumentation, DAQ 🏢 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 member of the facility operations team, you will design, build, and activate some of the world's most technically advanced facilities and data centers. You will be the subject-matter expert on the maintenance and reliability of critical infrastructure assets. You will have the opportunity to utilize your knowledge, experience, and creativity to develop novel solutions at the cutting edge of space technology. You will work with other facility engineers and internal customers to support these goals and have the opportunity to drive real global impact, ultimately leading to making life multiplanetary. RESPONSIBILITIES: - Responsible for owning and being the subject matter expert on fluid/HVAC components across the site. - Responsible for owning maintenance and reliability of critical infrastructure assets across campus. - Commission systems, validate nameplate performance, and implement predictive maintenance protocols to minimize downtime. - Equipment selection, sizing, and procurement support. - Drive root-cause investigations for any equipment failures and implement corrective actions across the site. BASIC QUALIFICATIONS: - Bachelor's degree in an engineering discipline. - 1+ years of professional experience working with various fluids components such as valves, pumps, COPVs, compressors, heat exchangers, pressure transducers, or temperature sensors. PREFERRED SKILLS AND EXPERIENCE: - Hands-on experience with fluid (liquid and/or gas) handling systems. - Experience using data acquisition equipment, as well as test instrumentation and control components: pressure transducers, thermocouples, resistance temperature detectors, relays. - Experience with HVAC systems and air ducting. - Experienced in NX or other CAD packages with a solid understanding and application of geometric dimensioning and tolerancing (GD&T) per ASME Y14.5-1994 and tolerance stack-up analysis. - Experience with structural analysis methods in order to optimize hardware to strength requirements as well as to evaluate for life and fracture. - Experience with pressurized structures and/or lightweight aerospace structures. - Ability to work independently. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on facility operations, critical infrastructure reliability, and advanced fluid/HVAC systems for technically advanced facilities and data centers. The position involves system commissioning, predictive maintenance, equipment optimization, and root-cause analysis in a high-performance engineering environment. 🗂️ Requirements: Bachelor's degree in engineering, 1+ years of experience with fluid components, Experience with valves, Experience with pumps, Experience with compressors, Experience with heat exchangers, Experience with pressure transducers, Experience with temperature sensors 📃 Skills: HVAC, CAD, NX, GD&T, ASME, COPVs, pumps, valves, compressors, thermocouples, relays, transducers, RTD, instrumentation, analysis 🏢 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 member of the facility operations team, you will design, build, and activate some of the world's most technically advanced facilities and data centers. You will be the subject-matter expert on the maintenance and reliability of critical infrastructure assets. You will have the opportunity to utilize your knowledge, experience, and creativity to develop novel solutions at the cutting edge of space technology. You will work with other facility engineers and internal customers to support these goals and have the opportunity to drive real global impact, ultimately leading to making life multiplanetary. RESPONSIBILITIES: Responsible for owning and being the subject matter expert on fluid/HVAC components across the site. Responsible for owning maintenance and reliability of critical infrastructure assets across campus. Commission systems, validate nameplate performance, and implement predictive maintenance protocols to minimize downtime. Equipment selection, sizing, and procurement support. Drive root-cause investigations for any equipment failures and implement corrective actions across the site. BASIC QUALIFICATIONS: Bachelor's degree in an engineering discipline. 1+ years of professional experience working with various fluids components such as valves, pumps, COPVs, compressors, heat exchangers, pressure transducers, or temperature sensors. PREFERRED SKILLS AND EXPERIENCE: Hands-on experience with fluid (liquid and/or gas) handling systems. Experience using data acquisition equipment, as well as test instrumentation and control components: pressure transducers, thermocouples, resistance temperature detectors, relays. Experience with HVAC systems and air ducting. Experienced in NX or other CAD packages with a solid understanding and application of geometric dimensioning and tolerancing (GD&T) per ASME Y14.5-1994 and tolerance stack-up analysis. Experience with structural analysis methods in order to optimize hardware to strength requirements as well as to evaluate for life and fracture. Experience with pressurized structures and/or lightweight aerospace structures. Ability to work independently. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 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: HR Business Partner role supporting engineering teams in a fast-paced AI organization, focused on employee relations, workforce analytics, organizational development, and HR operations. The position requires close collaboration with leaders and employees across the full employee lifecycle while managing HR programs and processes onsite in Palo Alto. 🗂️ Requirements: 3–5+ years of HR Generalist or HRBP experience, Experience in fast-paced, high-growth environments, Strong problem-solving and analytical skills, Excellent interpersonal and communication skills, Ability to support employee relations and performance management, Experience collaborating with managers and senior leaders, Ability to maintain confidentiality, Onsite availability in Palo Alto, CA, Ability to work extended hours and weekends when needed, Eligibility to work under ITAR regulations 📃 Skills: Workday, Greenhouse, UltiPro, Excel, PowerPoint, Word, Outlook 🏢 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 a hardcore engineering team. RESPONSIBILITIES: - Respond to employee inquiries, questions and complaints, and provide information, guidance and direction on employee relations issues, performance management, and other core HR functions - Operate as a key business partner to employees, managers, directors and senior leaders on workforce analytics, organizational optimization, leadership development, and other strategic initiatives - Work closely with the functional experts in HR (recruiting, training and development, compensation, and benefits) to ensure programs are optimized for the needs of your client groups and to shape company-wide programs - Counsel and assist employees and managers, guided by the Company's policies and relevant laws/regulations - Facilitate internal transfers, oversee and facilitate promotion opportunities, conduct exit interviews, and identify trends to support retention, career development and to minimize risk for the business - Work with managers and above to implement key HR recommendations and change efforts - Assist with the creation, documentation, and implementation of human resources policies, programs, and processes - Uphold standards of strict confidentiality with respect to all matters and documents - Maintain employee files and process HR transactions in Workday BASIC QUALIFICATIONS: - 3–5+ years of experience as an HR Generalist or HRBP, with exposure across other HR disciplines - Experience working in a fast-paced, high-growth, dynamic business environment - Strong problem-solving, critical thinking, and analytical skills - Excellent interpersonal, influencing, and communication skills, with the ability to build relationships and influence at all levels of the organization PREFERRED SKILLS AND EXPERIENCE: - Experience working in the tech industry/supporting engineering teams - Demonstrated success at building effective relationships - Ability to lead with a positive attitude and approach challenges head-on - Experience independently handling employee relations issues - Familiarity with Greenhouse, UltiPro, and/or Workday - Ability to use independent judgment to make decisions as well as organize and prioritize work - Demonstrated excellence thriving in a fast-paced environment - Experience with Microsoft Outlook, Word, Excel, and PowerPoint ADDITIONAL REQUIREMENTS: - This is not a remote or hybrid position and will require relocation if not already local to the Palo Alto, CA area - Position requires ability to work extended hours and weekends when needed COMPENSATION AND BENEFITS: - $115,000 - $140,000 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: - Applicant must be a U.S. citizen, national, lawful permanent resident, refugee, asylee, or eligible to obtain required authorizations from the U.S. Department of State. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Senior Software Engineer role focused on building automation and observability solutions to enhance reliability across multi-data center AI infrastructure. The position combines strong programming skills with hands-on data center and Linux systems expertise to minimize downtime and optimize performance. It involves developing scalable services, improving monitoring and incident response, and collaborating across infrastructure and facility teams. 🗂️ Requirements: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related field (or equivalent experience), 3+ years experience in SRE, Infrastructure, DevOps, or Systems Engineering in large-scale production environments, Strong production experience in Python, Solid Linux systems administration and kernel-level knowledge, Experience with containerization and orchestration (Docker, Kubernetes or similar), Experience implementing observability solutions (metrics, logging, tracing, monitoring, alerting), Understanding of networking fundamentals (TCP/IP, routing, DNS, redundancy), Experience troubleshooting distributed systems, hardware and network issues, Experience with on-call rotations and incident response practices (SLAs, error budgets), Ability to collaborate with cross-functional technical teams 📃 Skills: Python, Rust, Linux, Kubernetes, Docker, Prometheus, Grafana, TCP/IP, DNS, Scripting, Automation, Observability, Monitoring, Tracing, Networking 🏢 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 seeking a highly skilled Sr. Software Engineer to join our team in managing and enhancing reliability across a multi-data center environment. This role focuses on automating processes, building and implementing robust observability solutions, and ensuring seamless operations for mission-critical AI infrastructure. The ideal candidate will combine strong coding abilities with hands-on data center experience to build scalable reliability services, optimize system performance, and minimize downtime—including close partnership with facility operations to address physical infrastructure impacts. In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data center realities. By prioritizing automation and observability, team members in this role can reduce mean time to recovery (MTTR) by up to 50% through proactive monitoring and automated remediation. The primary objective of this team is to mitigate downtime and minimize impact to end-users from both scheduled and unscheduled maintenance, as well as events affecting onsite data centers. This is achieved through proactive automation, robust observability, and integrated software-physical reliability strategies. RESPONSIBILITIES: - Design, develop, and deploy scalable code and services (primarily in Python and Rust) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning. - Implement and maintain observability tools and practices, such as metrics collection, logging, tracing, and dashboards, to provide real-time insights into system health across multiple data centers. - Collaborate with cross-functional teams to identify reliability bottlenecks and automate solutions for fault tolerance, disaster recovery, capacity planning, and physical/environmental risk mitigation. - Troubleshoot and resolve complex issues in data center environments, including hardware failures, environmental anomalies, software bugs, and network-related problems, while adhering to reliability principles like error budgets and SLAs. - Optimize Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration, and scripting for automation. - Understand network topologies and concepts in large-scale, multi-data center environments to troubleshoot connectivity, routing, redundancy, and performance issues. - Participate in on-call rotations, post-incident reviews (blameless postmortems), and continuous improvement initiatives. - Mentor junior team members and document processes to foster a culture of automation and knowledge sharing. BASIC QUALIFICATIONS: - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience). - 3+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering in large-scale, distributed, or production environments. - Strong programming skills with proven production experience in Python; experience with Rust or another systems-level language (e.g., Go, C++) is essential. - Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments. - Practical knowledge of containerization and orchestration technologies, such as Docker and Kubernetes. - Experience implementing observability solutions, including metrics, logging, tracing, monitoring tools, alerting, and dashboards. - Familiarity with troubleshooting complex issues in distributed systems, including software bugs, hardware failures, network problems, and environmental factors. - Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments. - Experience participating in on-call rotations, incident response, post-incident reviews, and reliability practices such as error budgets or SLAs. - Ability to collaborate effectively with cross-functional teams. PREFERRED SKILLS AND EXPERIENCE: - 5+ years of experience in SRE or infrastructure roles in hyperscale, cloud, or AI/ML training environments with multi-data center setups. - Hands-on experience operating or scaling Kubernetes clusters at large scale, including automation for provisioning and high availability. - Proficiency in Rust for systems programming and performance-critical components. - Experience integrating software reliability tools with physical data center infrastructure (power, cooling, environmental monitoring). - Experience building automated remediation, fault tolerance, disaster recovery, capacity planning, or predictive failure detection systems. - Background in optimizing Linux-based systems for AI workloads, GPU clusters, or high-throughput compute environments. - Experience with bare-metal provisioning, data center interconnects, or hybrid/multi-site failover mechanisms. - Mentoring experience and strong documentation skills. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 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: Data Engineer / AI Engineer role focused on building scalable data pipelines, improving training data quality, and supporting AI model development through statistical analysis and production-grade systems. The position involves collaborating with ML and software teams to optimize data acquisition, processing, and evaluation for large-scale neural network training. 🗂️ Requirements: Bachelor's degree in Computer Science, Data Science, Physics, Mathematics, or STEM field, 1+ years of data or software engineering experience, Experience implementing or analyzing language models or neural networks, Strong Python programming skills, Experience with production data pipelines, Knowledge of machine learning and statistical analysis, Familiarity with large-scale datasets and distributed systems, Ability to work in fast-paced, evolving technical environments 📃 Skills: Python, Kubernetes, Parquet, MachineLearning, NeuralNetworks, Analytics, DataEngineering, Statistics, Clustering, Forecasting, AnomalyDetection 🏢 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: At xAI, we are building AI systems that push the frontier of human knowledge and scientific discovery. High-quality data is fundamental to every stage of that mission. Our Data team is responsible for ensuring that the models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This includes partnering closely with acquisition teams to identify where valuable data can be sourced, determining what data is needed to improve model performance, and building the production pipelines and systems that transform raw inputs into high-quality training data at scale. We work at the intersection of data, infrastructure, and machine learning to ensure our models train effectively and reliably. As a Data Engineer / AI Engineer on xAI's Data team, you will be responsible for developing the systems, processes, and production code that power data acquisition, preparation, quality evaluation, and delivery for model training. You will work closely with acquisition teams, ML engineers, and software engineers to identify data needs, build scalable data pipelines, and continuously improve the quality of the data that shapes model behavior. The ideal candidate combines strong software engineering fundamentals and excellent coding practices with deep intuition for statistics, neural networks, and how data quality influences training outcomes. RESPONSIBILITIES: - Analyze the performance and impact of data used throughout the model training lifecycle - Investigate anomalous model behavior and rigorously identify the data issues that drive poor downstream performance - Design, build, and improve the data cleaning, transformation, and quality-control steps required to produce high-quality training data - Research, evaluate, and develop frontier methods for improving data quality and effectiveness in AI model development - Apply statistical techniques and empirical analysis to make informed, data-driven decisions about dataset quality and model outcomes - Partner across teams to identify where data needs exist and define the highest-impact opportunities for new data acquisition and improvement - Build and maintain production-grade data pipelines, tooling, and software systems that ingest, process, validate, and deliver data for training - Develop metrics, evaluation frameworks, and monitoring systems to assess how data quality influences model behavior at scale - Fuse data from multiple sources into reliable, usable datasets for research and production model training - Create shared datasets, tooling, and internal data products that enable other teams to analyze, debug, and improve model performance BASIC QUALIFICATIONS: - Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline - 1+ years of data/software engineering experience (internship experience is applicable) - Experience in implementing or analyzing language models or neural networks PREFERRED SKILLS AND EXPERIENCE: - Professional experience in analytics, data science, machine learning, or data engineering - Experience building and operating production data pipelines for neural network or large-scale machine learning workloads - Strong experience with Python and the broader ecosystem of libraries and tools used in modern machine learning and data development - Experience working with Parquet or similar columnar storage formats in large-scale data systems - Familiarity with Kubernetes and distributed production environments - Experience developing predictive models and machine learning pipelines, including clustering, forecasting, anomaly detection, or related techniques - Experience working with very large-scale datasets, including terabyte- to petabyte-scale data systems - Strong statistical intuition and the ability to use quantitative analysis to guide technical and product decisions - Ability to operate effectively in a dynamic environment with evolving priorities, changing requirements, and fast-moving technical challenges - Demonstrated ability to take ownership of ambiguous problems, drive projects independently, and develop new expertise where needed COMPENSATION AND BENEFITS: - $150,000 - $210,000 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. 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🏢 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.