Environmental Health & Safety Engineer

🏢 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: 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 onsite employment counsel role focused on ensuring compliance with U.S. employment laws, advising HR and leadership on labor and benefits matters, and managing employment-related policies, audits, and training. The position requires extensive employment law experience, bar admission, and collaboration across teams in a fast-paced environment. 🗂️ Requirements: JD from an ABA accredited school, 10+ years of employment law experience, Admitted to the bar in at least one U.S. state, Experience with employment law compliance, Experience with OFCCP compliance evaluations or AAP preparation, Experience with California employment law, Strong legal training and counseling skills, Ability to work onsite in Palo Alto, CA, Willingness to travel up to 10%, Ability to work extended hours and weekends as needed 📃 Skills: OFCCP, AAP, Payroll, HR, Benefits, Compliance, EmploymentLaw, CaliforniaLaw, Training, Auditing 🏢 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. RESPONSIBILITIES: - Responsible for xAI's compliance program for state and federal employment laws, such as meal period and rest breaks, bonus and benefits, timekeeping and payroll, discrimination, and harassment - Work closely with HR and other organizations to develop policies and procedures on employment matters affecting the Company, including accommodations, leaves of absence, onboarding, and drug and alcohol program - Conduct regular audits of xAI's compliance program, policies, and procedures and work closely with cross-functional teams to develop and track implementation of corrective actions - Provide legal counsel on employment separation matters, job classifications, background checks, and recruiting - Draft training, comment on training, and provide select training to people leaders - Responsible for OFCCP compliance reports and similar filings - Advise Benefits on compliance with relevant law, and review and provide comments on contracts for company benefits - Monitor labor, employment, and benefits law developments and advise HR and management of recommended changes - Own drafting and updating Employee Handbook - Manage other projects as required or assigned BASIC QUALIFICATIONS: - JD from an ABA accredited school - 10+ years of employment law experience PREFERRED SKILLS AND EXPERIENCE: - Excellent academic record at top tier law school - Relevant experience with a major law firm or corporation - Experience with AAP preparation and/or OFCCP compliance evaluations - Experience counseling clients with significant domestic manufacturing operations - Experience counseling clients with significant international operations - Experience with California employment law - Demonstrated skill in providing legal training to business team members (both course development and presentation) - Ability to communicate in a clear, concise manner - Capacity to focus on diverse projects with rapidly changing priorities - Solution-oriented thinking and communication - Strong problem-solving skills ADDITIONAL REQUIREMENTS: - Must be willing to travel up to 10% of the time - Must be admitted to the bar, in good standing, in at least one U.S. State - This position is based in Palo Alto, CA and requires being onsite - remote work not considered - Must be able to work extended hours and weekends as needed COMPENSATION AND BENEFITS: - $176,000 - $264,000 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: Full-time Health and Safety Professional role supporting utility, industrial, municipal, and infrastructure clients through field assessments, compliance reviews, safety program development, and training delivery. The position requires strong OSHA and utility safety knowledge, regular travel, and the ability to manage client-facing safety consulting projects independently. 🗂️ Requirements: 5+ years of experience in health and safety, EHS consulting, utility operations, industrial safety, construction safety, or related field, Strong knowledge of OSHA regulations, Experience developing written safety programs and technical documentation, Experience delivering safety training and presentations, Ability to work independently with limited supervision, Strong communication, organization, and technical writing skills, Willingness and ability to travel regularly, Ability to support field and office-based work environments, Utility industry experience preferred, Knowledge of electrical safety standards and utility field operations 📃 Skills: OSHA, NFPA70E, NESC, LockoutTagout, ArcFlash, EHS, Safety, Compliance, Auditing, Training, RiskAssessment, TechnicalWriting 🏢 Description: Do you like working with different project teams in a fast-paced environment? Are you interested in joining an organization focused on making a positive impact? We are currently seeking a full-time Health and Safety Professional for one of our Nashville, TN, Pensacola, FL, Titusville, FL, Jacksonville, FL, or Tampa, FL offices. This is an excellent opportunity to get involved in a variety of projects for a diverse range of clients across the globe. We are looking for a health and safety professional who is technically strong, client-focused, and comfortable working in both field and office settings. This role is well-suited for someone who can evaluate workplace hazards, interpret regulatory requirements, write clear technical documents, develop training materials, and deliver practical recommendations that clients can implement. Travel is a required part of this position. The ideal candidate is comfortable supporting clients at various locations, adapting to changing schedules, and occasionally working outside standard business hours based on client needs. Utility experience is strongly preferred, including experience with electric, water, wastewater, gas, power generation, transmission, distribution, or contractors supporting utility operations. Experience with electrical safety topics such as NFPA 70E, NESC, lockout/tagout, energized work, arc flash, or utility field operations is highly desirable. DUTIES/RESPONSIBILITIES In this role, you will: - Supporting health and safety projects for utility, industrial, municipal, and infrastructure clients. - Conducting field assessments, audits, gap analyses, hazard assessments, and compliance reviews. - Developing, reviewing, and updating written health and safety programs, policies, procedures, technical reports, and client deliverables. - Preparing presentations, training materials, handouts, and other client-facing resources. - Delivering health and safety training to employees, supervisors, contractors, and leadership teams. - Interpreting OSHA requirements and other applicable standards and translating them into practical work practices. - Supporting risk assessments, corrective action development, and implementation planning. - Collaborating directly with clients to understand operational needs, constraints, and safety challenges. - Managing assigned tasks independently, including organizing workload, meeting deadlines, and communicating project status. - Traveling to client sites as required includes overnight travel and occasional schedule flexibility based on client operations. SKILLS/EXPERIENCE Minimum Skills and Requirements: - 5+ years of experience in health and safety, EHS consulting, utility operations, industrial safety, construction safety, or a related field. - Strong working knowledge of OSHA regulations and practical safety program implementation. - Experience developing written safety programs, procedures, training content, reports, or similar technical documents. - Comfort presenting information and delivering training to groups with varying levels of safety knowledge. - Ability to work independently with limited day-to-day supervision. - Effective communication, organization, and technical writing skills. - Willingness and ability to travel regularly to support client projects. - Ability to build strong client relationships and provide practical, professional guidance. Why Join EnSafe? Employee-Owned Advantage - 100% employee-owned with an ESOP since 1997. - Company growth is tied to shared employee rewards. Commitment to Growth and Wellness - Support for personalized career development and mentorship. - Employee wellness initiatives and health tracking tools. Purpose-Driven Work - Opportunity to work on impactful environmental, health, and safety consulting projects. - Strong focus on technical credibility and community impact. Safety as a Value, Not Just a Service - Safety-focused workplace culture emphasizing employee well-being and compliance. A Culture of Freedom & Ownership - Flexible and entrepreneurial work environment. - Encouragement to take initiative and shape career growth. Challenging, Creative Work - Fast-paced and dynamic projects across environmental consulting, health and safety, engineering, and technology. - Opportunities for creativity, innovation, and problem-solving. At EnSafe, candidates are encouraged to apply even if they do not meet every qualification listed in the job description. EnSafe is committed to equal employment opportunity for all qualified candidates.

🏢 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: Engineering role focused on building and owning a high-throughput, low-latency API and backend infrastructure for large-scale model inference. The position involves designing and operating reliable, horizontally scalable distributed systems that serve billions of tokens per minute. You will develop and maintain model serving, routing, SDKs, and observability within a production-grade environment. 🗂️ Requirements: Expert knowledge of Rust or C++, Experience building and maintaining horizontally scalable distributed systems, Experience designing reliable high-availability production infrastructure, Knowledge of observability and reliability best practices, Experience operating PostgreSQL, Clickhouse, or MongoDB 📃 Skills: Rust, C++, Go, PostgreSQL, Clickhouse, MongoDB, gRPC, Docker, Kubernetes, TensorRT, vLLM, SGLang, REST, SDK 🏢 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: As an ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. Most of our backend infrastructure is written in Rust. So familiarity with a compiled language such as C++, Rust, or Go is highly beneficial. RESPONSIBILITIES: Build the xAI API that serves our models to developers worldwide Own the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling BASIC QUALIFICATIONS: Expert knowledge of either Rust or C++ Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems Knowledge of service observability and reliability best practices Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB PREFERRED SKILLS AND EXPERIENCE: Experience with LLM inference engines and serving frameworks (e.g., SGLang, TensorRT, vLLM) Experience designing or building with agent SDKs and agent orchestration frameworks Experience with Docker, Kubernetes, and containerized applications Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping) COMPENSATION AND BENEFITS $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: 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. For details on data processing, view the Recruitment Privacy Notice.