Pantera Capital

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 talented Software Engineer to join our X Money team, focused on building a revolutionary global payment network that will serve over 600 million users and rival the world's largest financial institutions. In this role, you will specialize in backend development, designing and optimizing robust microservices to ensure scalability, security, and reliability. You will support full stack efforts, collaborate with cross functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high scale financial products platform. This is an opportunity to work on greenfield projects in a fast paced, startup like environment, driving innovation at the intersection of AI and finance. RESPONSIBILITIES: Develop backend services, APIs, and data models to support high volume, multi user environments. Work with iOS, Android & Web client engineers to ship products. Design robust infrastructure and microservices for payments, transactions, growth, monetization, and engagement across platforms. Build and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real time analytics. Lead architecture, scalability, and reliability decisions for high concurrency, low latency systems. Uphold engineering excellence via testing, monitoring, deployment, and secure data handling. BASIC QUALIFICATIONS: Proficiency in distributed systems for high scale, low latency environments; languages like Rust, Go, Python & Java, and high volume streaming systems. 2+ years of experience working on large scale consumer applications. PREFERRED SKILLS AND EXPERIENCE: 5+ years of experience working on large scale consumer applications or early mid stage startup experience as a founding engineer, emphasizing rapid prototyping, user centric design, and AI solutions. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

A pioneering technology organization is seeking an exceptional Android engineer to join their high-impact team in London. The role demands proficiency in Kotlin and Jetpack Compose, with responsibilities for shaping cutting-edge mobile applications. Ideal candidates should demonstrate strong product sense, technical excellence, and experience in architecting large production apps. The position offers an attractive rewards package, including equity and comprehensive benefits.

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're seeking an exceptional Android engineer to join a small, high impact team dedicated to creating the world's most valuable AI application, judged by the impact it delivers to users. You'll shape cutting edge mobile experiences, blending technical mastery with a keen product sense to deliver brilliance that resonates with users. You will work on the most critical product or technical challenge at any given time. An ideal candidate meets at least the following requirements: Proficient in Kotlin, Jetpack Compose and reactive programming. Has a strong product sense and high craft bar. Builds intuitive and delightful user experiences. Experienced in architecting modern large production apps while embodying technical excellence. Strong sense of ownership and agency. Able to put on multiple hats and take responsibility for large areas. Able to optimize for performance, stability and reliability. Additionally, experience in any of the following may set you apart: A proven track record of shipping standout apps or features that demonstrate both technical excellence and exceptional product intuition. Deep expertise in the Android ecosystem and related development tools (Android Studio, Gradle, etc.). Rust for working with our backend components. Location You can work out of xAI's London, SF, Palo Alto or NY office. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of 2 technical interviews: Android coding assessment: Live coding to build a simple app using Jetpack Compose. Android hands on: Practical development session using starter code and external API. Meet and greet with the wider team. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, 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.

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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the team The Sandbox service team at xAI builds and maintains a secure, scalable system that gives our models safe, controlled access to computational environments. This infrastructure powers critical workloads across training and product, enabling models to run code, build software, interact with tools, and even control applications with user interfaces. We provision containers and virtual machines on large scale clusters, granting models interactive control over these remote environments. Our work spans the full stack: from orchestrating massive jobs and resource scheduling at the cluster level, to fine tuning filesystem performance on nodes. The Sandbox service enables Grok to safely run and test code in real time for user queries, and supports reinforcement learning in training, where models interactively explore tools ranging from compilers to productivity apps. About the role Expect deeply technical work in a fast moving environment. We prioritize speed and rapid iteration without compromising on reliability or performance. Ideal candidates have strong backgrounds in at least the following: Expert knowledge of Rust, C++ or Go Familiarity with Python Deep experience with either Linux or Windows systems (familiarity with both is a strong plus) Experience with virtualization and containerization technologies (e.g., cgroups, KVM, gVisor, QEMU) Solid knowledge of the networking stack Interview process After submitting your application, the team reviews your statement of exceptional work and CV. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

A leading technology company in Greater London is seeking a skilled engineer to tackle deep technical challenges in a dynamic setting. Ideal candidates will possess expertise in Rust, C++, or Go, with additional familiarity with Python and strong experience in either Linux or Windows systems. They will work on virtualization and containerization technologies while contributing to the reliability and performance of complex systems. The role offers a comprehensive rewards package, ensuring collaboration within a motivated team.

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're seeking an exceptional iOS engineer to join a small, high impact team dedicated to creating the world's most valuable AI application, judged by the impact it delivers to users. You'll shape cutting edge mobile experiences, blending technical mastery with product brilliance. An ideal candidate meets at least the following requirements: Expert in Swift, with deep knowledge of SwiftUI and UIKit. Proficient in performance optimization-memory, CPU, GPU-using low level tools to deliver blazing fast systems. Experienced in designing and shipping intuitive, pixel perfect mobile UIs that redefine how users interact with AI. Skilled in concurrency and reactive programming (Combine) for responsive, real time apps. Built high throughput integrations with APIs (REST, gRPC) or AI model outputs, ensuring seamless data flow. Capable of owning complex features end to end, from architecture to App Store deployment, with a focus on speed and scalability. Additionally, experience in any of the following may set you apart: Deep expertise in the Apple ecosystem and related development tools. Rust for working with our backend components. AVFoundation for real time audio processing. Track record of shipping standout apps or standout features within apps. What You'll Do Dream up and craft delightful, intuitive user experiences that redefine how people interact with AI on mobile. Obsess over every pixel, animation, and interaction, ensuring the experience feels magical and seamless. Build blazing fast, highly performant systems where every millisecond counts. Drive technical and product decisions, collaborating with AI researchers and engineers to deploy state of the art models globally. Who You Are Technically Exceptional: You possess deep expertise in iOS development, particularly with Swift. We seek individuals who operate at the highest levels of their craft. Efficient: You excel at delivering results swiftly, often in a fraction of the time others require. Speed is a core value at xAI-we must act decisively to succeed. Hardworking High Agency: You don't wait for direction-you take initiative and make things happen. Product Minded: You have a sharp product sense, with an ability to empathize with users, anticipate their needs, and translate that into features that delight and deliver value. Location You can work out of xAI's Palo Alto or San Francisco office. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of 3 technical interviews: Coding assessment in a language of your choice. Systems hands on: Demonstrate practical skills in a live problem solving session. Project deep dive: Present your past exceptional work to a small audience. Meet and greet with the wider team. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

A leading AI technology company is seeking an exceptional iOS engineer to join their high-impact team. The ideal candidate will have expertise in Swift and strong skills in performance optimization and UI design. You will craft intuitive mobile experiences that enhance user interaction with AI. This role offers a competitive salary, equity, and comprehensive benefits including health insurance and a 401(k) retirement plan. Join us to redefine mobile AI applications.

A leading AI organization in London seeks a Member of Technical Staff. This role involves building frameworks to enhance reasoning capabilities, developing distributed reinforcement learning systems, and creating environments for agents. The ideal candidate should have expertise in large-scale reinforcement learning, experience with distributed systems, and knowledge of state-of-the-art algorithms. The position requires in-person presence in London, with opportunities for remote work and involves a detailed interview process.

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 Position As a Member of Technical Staff, you will build frameworks to improve the reasoning capability, build distributed reinforcement learning systems, techniques for inference time compute (e.g. tree search and planning), and develop environments for agents. You will get exposure and will be expected to solve and take ownership of components across the entire stack. Tech Stack Python JAX Rust Focus Build robust and scalable distributed RL systems. Optimise frameworks to enable complex inference-time reasoning. Develop environments and harnesses for agents. Ideal Experiences Experienced with large-scale reinforcement learning systems. Designing and implementing distributed systems. Keeping up with state-of-the-art RL and inference time compute algorithms. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (phone interview) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Systems hands-on: Demonstrate practical skills in a live problem-solving session. Project deep-dive: Present your past exceptional work to a small audience. Meet and greet with the wider team. Location This position is in-person in London, UK. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates must be willing to attend late meetings at least once a week to coordinate with the rest of our team in Palo Alto. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a pension 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. Privacy Policy

Pantera Capital is seeking an AI Inference Engineer to enhance their team in London. In this role, you will develop APIs for AI inference, benchmark the inference stack, improve system reliability, and explore novel research for LLM optimizations. Ideal candidates should have experience with ML systems, deep learning frameworks like PyTorch, familiarity with LLM architectures, and understanding of GPU programming using CUDA. A competitive compensation package including equity options is offered.

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) xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Location London Employment Type Full time Department AI We are looking for an AI Inference engineer to join our growing team. Our current stack is Python, Rust, C++, PyTorch, Triton, CUDA, Kubernetes. You will have the opportunity to work on large-scale deployment of machine learning models for real-time inference. Responsibilities Develop APIs for AI inference that will be used by both internal and external customers Benchmark and address bottlenecks throughout our inference stack Improve the reliability and observability of our systems and respond to system outages Explore novel research and implement LLM inference optimizations Qualifications Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX) Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.) Understanding of GPU architectures or experience with GPU kernel programming using CUDA Final offer amounts are determined by multiple factors, including, experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Perplexity is excited to announce the Internship Program for exceptional Master's or PhD students studying Computer Science or Engineering in the UK, enrolled in the academic year. This is an intensive program in which you will work directly with our AI Inference team. This program offers a unique opportunity to gain valuable experience in a rapidly growing AI startup. Outstanding performers might be offered a full time position at the end of the program. Our AI Inference team is responsible for running the models behind the Perplexity products. The team maintains the inference engine and deployments behind models ranging from single-node embeddings to distributed sparse Mixture-of-Experts models, maintaining large GPU clusters. With a keen focus on latency and throughput, the Inference team is responsible for the entire serving stack, from GPU kernels to networking and monitoring infrastructure. Responsibilities Work with the inference team to improve serving latency and throughput Bring up support for new models and state-of-the-art inference optimizations or quantization schemes Optimize inference across the entire stack, from GPU kernels to serving endpoints Qualifications Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc) Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems) Experience with ML frameworks (Torch, JAX) Experience with GPU programming (CUDA, Triton) Experience with High-Performance Computing (OpenMPI) Schedule Internship program: 13 weeks, full-time or part-time, in-person in London office (hybrid schedule: 3 days from the office, 2 days WFH) Interview Process Fill out the application on Perplexity website If selected, People Ops and technical interviews will be involved. Offer. We're impressed! We'd love to welcome you to our Internship program! Start. We have a desk waiting for you in our London office! FAQ Do you sponsor visas? Can I apply if I need a visa to work in the UK? Unfortunately we are unable to sponsor visas What if I'm on a student visa? You need to seek approval from your University (to determine if you are eligible to work full time or part time only) How many internship spots are there? We have spots for 2-3 interns in our 2026 class. Is housing provided? Unfortunately we cannot provide housing. Is health insurance provided? Unfortunately we cannot provide health insurance for interns. Full time employees receive full health insurance and benefits. How many full time offers are available at the end of the residency? There is no limit. All outstanding performers will be given a full time offer!

Location London Employment Type Full time Location Type Hybrid Department AI We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. Responsibilities Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads Manage and optimize Slurm-based HPC environments for distributed training of large language models Develop robust APIs and orchestration systems for both training pipelines and inference services Implement resource scheduling and job management systems across heterogeneous compute environments Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands Qualifications Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization Experience with deploying and managing distributed training systems at scale Deep understanding of container orchestration and distributed systems architecture High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) Experience managing GPU clusters and optimizing compute resource utilization Required Skills Expert-level Kubernetes administration and YAML configuration management Proficiency with Slurm job scheduling, resource management, and cluster configuration Python and C++ programming with focus on systems and infrastructure automation Hands-on experience with ML frameworks such as PyTorch in distributed training contexts Strong understanding of networking, storage, and compute resource management for ML workloads Experience developing APIs and managing distributed systems for both batch and real-time workloads Solid debugging and monitoring skills with expertise in observability tools for containerized environments Preferred Skills Experience with Kubernetes operators and custom controllers for ML workloads Advanced Slurm administration including multi-cluster federation and advanced scheduling policies Familiarity with GPU cluster management and CUDA optimization Experience with other ML frameworks like TensorFlow or distributed training libraries Background in HPC environments, parallel computing, and high-performance networking Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices Experience with container registries, image optimization, and multi-stage builds for ML workloads Required Experience Demonstrated experience managing large-scale Kubernetes deployments in production environments Proven track record with Slurm cluster administration and HPC workload management Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure Experience supporting both long-running training jobs and high-availability inference services Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

A leading financial technology firm in London is seeking an AI Infrastructure Engineer to join their team. The role involves designing and maintaining scalable Kubernetes clusters, optimizing Slurm-based HPC environments, and developing APIs for AI workloads. Candidates should have expertise in Kubernetes, experience with Slurm, and skills in Python and C++. The position offers a hybrid work model with a focus on cutting-edge AI technologies.