Reliability Engineer (Data Center Infrastructure)

🏢 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: Engineering role focused on building and scaling a unified AI research platform for model training orchestration, evaluations, benchmarking, and experiment management. The position involves designing performant and user-friendly systems with strong product ownership and collaboration across research and engineering teams. Open to candidates from new graduate to senior level with strengths in frontend, backend, data, or AI systems. 🗂️ Requirements: Excellent prioritization skills, Outstanding communication skills, Strong product intuition, Ownership mindset, Strong quality and UX sensitivity, Proven technical excellence in frontend, backend, data, or agentic systems 📃 Skills: React, Frontend, Backend, APIs, Architecture, Data, UX, AI, ML 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. We are looking for exceptional engineers and builders with great taste, strong product sense, excellent prioritization, and outstanding communication skills. You will own and elevate our mission-critical research platform that directly accelerates frontier AI research work. Our team is contributing to Toolbox — a unified Research Platform for model training orchestration, evaluations, benchmarking, and experiment management. You will design, build, and ship delightful, performant, and scalable systems that researchers and engineers love to use every day. This role values product ownership, taste, and narrow specialization. We are open to all levels from new grads to senior engineers. Requirements - Excellent prioritization skills — ability to focus on high-impact work in a fast-moving environment - Outstanding communication skills — ability to articulate trade-offs, technical decisions, and product thinking to technical and non-technical stakeholders - Strong product intuition and ownership mindset - Strong taste and sensitivity for quality across frontend interfaces, backend APIs, data flows, and system architecture - Proven technical excellence in at least one area such as UX/frontend, backend, data, or agentic systems Bonus Points - Experience founding or joining a fast-growing early-stage startup - Familiarity with AI/ML workflows, annotation tools, or research platforms - Experience creating and maintaining component libraries, design systems, or internal tools - Background in UX design, product management, or related fields Interview Process - Coding 1 — Practical coding exercise (React component for frontend-focused candidates or general practical exercise) - Coding 2 — System design discussion focused on frontend architecture, backend architecture, or relevant technical domain - Coding 3 — Product and taste assessment covering user needs, roadmap creation, and prioritization - Meet the team and present an exceptional work/project SpaceXAI is an equal opportunity employer.

🏢 Summary: Senior Infrastructure Engineer role focused on building and operating secure, scalable AI infrastructure for US government projects across bare metal and classified cloud environments. The position involves Kubernetes-based infrastructure management, GPU cluster operations, observability, automation, and compliance-driven reliability engineering. This is an in-person role in Palo Alto or Washington, DC with up to 50% travel. 🗂️ Requirements: Active Top Secret (TS) security clearance, 5+ years of infrastructure or site reliability engineering experience, Experience building and maintaining scalable systems, Proficiency with Pulumi, Terraform, or Ansible, Deep knowledge of Kubernetes, CNI, CRI, and CSI, Experience with incident management and SLAs/SLOs, Strong communication and documentation skills, Ability to work in secure or government environments, Willingness to travel up to 50%, On-site availability in Palo Alto, CA or Washington, DC 📃 Skills: Kubernetes, CNI, CRI, CSI, Pulumi, Terraform, Ansible, GPU, Kyverno, ArgoCD, Go, IaC, Observability, SLA, SLO 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a highly skilled Senior Infrastructure Engineer to join our US Government Team, focused on designing, building, and operating secure, scalable infrastructure for critical government projects. In this role, you will develop and manage training and inference clusters, as well as highly reliable applications, across bare metal, classified cloud, and hybrid cloud architectures. You will leverage your expertise in Kubernetes and GPU hardware to deliver robust, secure systems that support large-scale AI workloads while meeting stringent federal compliance requirements. This role demands a passion for automation, observability, and ensuring system integrity in a fast-paced, high-security environment. RESPONSIBILITIES: - Develop and optimize software to provision and manage xAI's infrastructure across on-premise, virtual machine, and classified cloud environments, enabling efficient scaling for US government initiatives. - Enhance the reliability, performance, and cost-effectiveness of infrastructure to support large-scale AI and application workloads in secure, classified settings. - Collaborate with xAI engineers to understand workload requirements and design tailored solutions that meet government-specific needs and compliance standards. - Implement robust observability, monitoring, and security practices to ensure the integrity, availability, and confidentiality of critical systems, adhering to federal protocols. - Manage storage infrastructure using Infrastructure-as-Code (IaC) tools such as Pulumi, Terraform, or Ansible, with a focus on secure data handling. - Drive system reliability through incident management, postmortems, and the definition of clear SLAs and SLOs, while maintaining security and compliance. - This is an in-person role based in Palo Alto, CA or Washington, DC, with up to 50% travel required. BASIC QUALIFICATIONS: - Active Top Secret (TS) security clearance. - 5+ years of experience as an Infrastructure Engineer, Site Reliability Engineer, or similar role, with a focus on building and maintaining reliable, scalable systems, preferably in secure or government environments. - Proficiency in managing storage infrastructure with IaC tools such as Pulumi, Terraform, or Ansible. - Deep understanding of the Kubernetes stack, including CNI, CRI, CSI, and related components. - Demonstrated ability to improve system reliability through incident management, postmortems, and defining SLAs/SLOs. - Excellent communication and documentation skills, with the ability to handle sensitive information concisely and accurately. PREFERRED SKILLS AND EXPERIENCE: - Deep familiarity with installing and using GPU hardware, including setting up drivers, debugging issues, and ensuring reliability. - Experience with high-traffic web or mobile application workloads, including optimizing Kubernetes for large-scale deployments in classified or federal settings. - Familiarity with chaos engineering, capacity planning, or similar practices for ensuring system resilience in government projects. - Proficiency with tools such as Kyverno, ArgoCD, or Go programming for infrastructure automation. - Strong sense of ownership, curiosity, and enthusiasm for tackling complex technical challenges in secure environments. - Passion for problem-solving and a proactive drive to deliver impactful results while adhering to security protocols. - Certifications in security-related fields (e.g., CISSP) or experience in secure federal environments. COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Media engineering role focused on building and optimizing large-scale video services integrated with advanced AI infrastructure for a platform serving hundreds of millions of users. The position involves rebuilding media processing and distribution pipelines using high-performance languages and improving video quality, streaming, and real-time communication systems at scale. Candidates should have strong distributed systems experience and deep expertise in modern media technologies. 🗂️ Requirements: 5+ years of experience, Proficiency in C++ or Go, Knowledge of WebRTC, LL-HLS, or video transcoding pipelines, Experience with scalable distributed systems, Strong media quality and performance optimization skills, Strong communication skills 📃 Skills: Go, C++, Rust, Java, Scala, Kubernetes, FoundationDB, ValKey, Envoy, S3, WebRTC, LL-HLS, H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, HDR, DRM 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We're looking for exceptional media engineers who want to join us on a new project to deeply integrate xAI's advanced AI infrastructure into a platform used by around 600 million users every month. We're bringing xAI's technology stack and using it to transform the video product experience - video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to contribute in a major way while leveraging all of the powerful AI tools and talented colleagues at xAI. RESPONSIBILITIES: - Build the next generation of large-scale video services - Contribute to and rebuild core media processing and distribution pipelines in high-performance languages (Rust, C++ or Go) - Obsess over every millisecond and pixel, ensuring end-to-end media quality and performance at scale across a rich suite of products and user platforms BASIC QUALIFICATIONS: - At least 5 years of experience - Obsessed with media quality, performance, and product experience - Proficient in high performance C++ or Go - In-depth knowledge of either WebRTC or LL-HLS or video transcoding pipelines - Familiar with building and running scalable and resilient distributed systems PREFERRED SKILLS AND EXPERIENCE: - Go, C++, Rust, Java, Scala - Kubernetes, FoundationDB, ValKey, Envoy, S3 - H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, LL-HLS, HDR, DRM COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Equal opportunity employer. Recruitment Privacy Notice available.

🏢 Summary: Recruiting Coordinator role in a fast-paced AI startup environment focused on coordinating interviews, managing candidate logistics, maintaining recruiting data, and improving hiring processes. The position requires strong organizational and communication skills, adaptability, and the ability to manage multiple priorities while ensuring a positive candidate experience. 🗂️ Requirements: Bachelor's degree or equivalent, Experience working in a fast-paced environment, Strong organizational and project management skills, Ability to manage multiple ongoing projects, Strong written and verbal communication skills, Ability to adapt to shifting priorities, Experience in recruiting or people operations, Availability to work overtime as needed, Eligibility to work under ITAR regulations 📃 Skills: Greenhouse, Recruiting, Scheduling, Coordination, Communication, Organization, Multitasking, ProjectManagement 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We're looking for individuals with a knack for attention to detail, organization, and coordination. Our Recruiting Coordinators handle everything from scheduling interviews to tracking candidate data and ensuring that candidates have a lasting positive experience throughout the interview process. The ideal candidate has interest and may have experience working in a fast-paced, startup-like environment while wearing multiple hats to ensure our candidates have a positive experience at every stage of the recruiting process. Availability, flexibility, and adaptability are the keys to success in this role. RESPONSIBILITIES: - Play a crucial role within a fast-paced environment while working to coordinate and manage onsite and virtual candidate interviews - Schedule candidate interviews and handle any type of candidate logistics promptly and accurately - Represent and facilitate exceptional partnerships with all stakeholders, candidates, hiring managers, and interviewers to drive excellent customer service and consistent, high-quality work - Drive and participate in process improvement initiatives and other special projects - Ensure data integrity by updating candidate records in the applicant tracking system, Greenhouse - Evaluate and recommend recruitment strategies and solutions to make our processes more efficient BASIC QUALIFICATIONS: - Bachelor's degree or equivalent PREFERRED SKILLS OR QUALIFICATIONS: - Excellent organizational, project management, and multitasking abilities - Strong interpersonal and communication skills - Previous experience in a fast-paced environment - Ability to manage multiple on-going projects, be flexible to change, and adapt to shifting priorities - Team player with a high sense of urgency - Excellent written and oral communication skills - Prior experience in people operations or recruiting functions ADDITIONAL REQUIREMENTS: - Available to occasionally work overtime, as schedules vary with operational needs; flexibility is key COMPENSATION AND BENEFITS: - $80,000 - $100,000 USD - Base salary is just one part of the total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a U.S. citizen or national, U.S. lawful permanent resident, Refugee, Asylee, or be eligible to obtain the required authorizations from the U.S. Department of State.

🏢 Summary: AI network software engineering role focused on building automation-first tools and services for large-scale GPU supercomputing network fabrics. The position involves developing scalable network management systems, implementing infrastructure-as-code practices, and improving deployment reliability for AI training and inference environments. 🗂️ Requirements: Deep experience collaborating with network engineers, Strong knowledge of network topologies, Strong knowledge of network protocols, Experience designing scalable and reliable software systems, Ability to orchestrate large-scale network devices, Experience with infrastructure-as-code practices, Strong communication skills, Ability to work hands-on in ambiguous environments 📃 Skills: Python, Go, TCP/IP, BGP, RDMA, IaC, Networking, Automation 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As part of the Network Software and Services for AI (nssAI) team at xAI, you'll build cutting-edge software, services, and frameworks to empower our Network Development Engineers. Working hands-on, you'll tackle all facets of network management—metric collection, configuration, zero-touch provisioning, monitoring, and auto-remediation—driving automation-first solutions for production and ancillary networks. Expect to develop extensible tools, streamline complex processes, and ensure rock-solid reliability to support AI-driven scientific discovery. Focus - Building software and tools with extensive metrics coverage for large GPU supercomputing network fabrics used for AI training and customer inference queries. - Implementing IaC best practices, enhancing deployment pipelines, and ensuring robust, secure service delivery across production environments. Preferred Skills and Experience - Deep experience collaborating with network engineers using extensive knowledge of network topologies and network protocols. - Expert knowledge and proven history designing scalable and reliable software systems from the ground up. - Ability to build and orchestrate tens of thousands of network devices efficiently. - Ability to thrive in ambiguity and create metrics that help prioritize team focus. Tech Stack - Python - Go - TCP/IP - BGP - RDMA Annual Salary Range - $150,000 - $250,000 base Benefits - Equity package - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Media engineering role focused on building and optimizing large-scale video services integrated with advanced AI infrastructure for a platform serving hundreds of millions of users. The position involves rebuilding media processing and distribution pipelines, improving video quality and performance, and working with scalable distributed systems using high-performance languages. 🗂️ Requirements: 5+ years of experience, Proficiency in C++ or Go, Experience with WebRTC, LL-HLS, or video transcoding pipelines, Experience building scalable distributed systems, Strong focus on media quality and performance, Strong communication skills 📃 Skills: Go, C++, Rust, Java, Scala, Kubernetes, FoundationDB, ValKey, Envoy, S3, WebRTC, LL-HLS, H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, HDR, DRM 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We're looking for exceptional media engineers who want to join us on a new project to deeply integrate xAI's advanced AI infrastructure into a platform used by around 600 million users every month. We're bringing xAI's technology stack and using it to transform the video product experience - video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to contribute in a major way while leveraging all of the powerful AI tools and talented colleagues at xAI. RESPONSIBILITIES: - Build the next generation of large-scale video services - Contribute to and rebuild core media processing and distribution pipelines in high-performance languages (Rust, C++ or Go) - Obsess over every millisecond and pixel, ensuring end-to-end media quality and performance at scale across a rich suite of products and user platforms BASIC QUALIFICATIONS: - At least 5 years of experience - Obsessed with media quality, performance, and product experience - Proficient in high performance C++ or Go - In-depth knowledge of either WebRTC or LL-HLS or video transcoding pipelines - Familiar with building and running scalable and resilient distributed systems PREFERRED SKILLS AND EXPERIENCE: - Go, C++, Rust, Java, Scala - Kubernetes, FoundationDB, ValKey, Envoy, S3 - H.264, H.265, AV1, MP4, CMAF, VMAF, RTP, RTMP, LL-HLS, HDR, DRM COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Applied Engineer role focused on building and scaling recommendation systems, ranking algorithms, and AI-driven search technologies for products serving hundreds of millions of users. The position involves developing machine learning infrastructure, real-time experimentation, and large-scale deep learning applications using modern AI frameworks and data systems. 🗂️ Requirements: Knowledge of Kafka, Clickhouse, and Spark, Experience implementing recommender systems at industrial scale, Experience with deep learning applications at industrial scale, Proficiency in JAX or PyTorch, Ability to design scalable machine learning systems, Strong communication skills, Hands-on engineering approach 📃 Skills: Kafka, Clickhouse, Spark, JAX, PyTorch, CUDA, Python, AI, ML 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We're seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with an engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You'll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences. RESPONSIBILITIES: - Designing and architecting recommendation algorithms across various product surfaces - Leverage all of xAI's infra and AI stacks to dramatically enhance the user experience - Write data pipelines and training jobs that continuously learn from product data - Iterate and improve the algorithm by gathering user feedback in real time through experimentation - Ensuring scalability and efficiency of machine learning systems BASIC QUALIFICATIONS: - Knowledge of data infrastructure like Kafka, Clickhouse, and Spark - Experienced in implementing recommender systems and/or deep learning applications at industrial scale - Skilled in one or more DL software frameworks such as JAX or PyTorch - Exceptional candidates may be experienced in writing CUDA kernels COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Base salary is one part of the total rewards package and includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, and additional discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Engineering role focused on developing and optimizing reinforcement learning training infrastructure for large-scale workloads, from experimentation to production systems. The position involves improving scalability, observability, and end-to-end training performance in distributed environments. 🗂️ Requirements: Experience with large-scale distributed systems, Ability to debug and optimize system efficiency, Problem-solving across all levels of the stack, Proficiency in Python, Proficiency in Jax, Rust, or C++, Strong communication skills 📃 Skills: Python, Jax, Rust, C++, RL, LLM 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The RL infrastructure team is looking for an engineer to help develop our RL training framework. RESPONSIBILITIES: - Design and implement the systems backing all RL workloads, from small scale ablations to production training runs - Profile, debug, and optimize end-to-end training performance - Improve scalability and observability of the RL stack BASIC QUALIFICATIONS: - Experience building, debugging, and optimizing efficiency of large-scale distributed systems - Comfortable diving into unfamiliar areas and solving problems at all levels of the stack - Proficiency in Python, Jax, Rust, and/or C++ PREFERRED SKILLS AND EXPERIENCE: - Experience with large scale LLM training infrastructure - Strong knowledge of reinforcement learning techniques - Experience with RL numerics COMPENSATION AND BENEFITS: - $180,000 - $440,000 USD - Equity package - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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