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Xai Openings Jobs (NOW HIRING)

RadixArk

Visual Designer

Palo Alto, CA · On-site

Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team ...

SpaceXAI

IT Systems Engineer

Palo Alto, CA · On-site

Job Summary : xAI is focused on creating AI systems that aid humanity in its pursuit of knowledge ... Open Source. • Strong understanding of basic networking concepts. • Proficient with using ...

RadixArk

Visual Designer

Palo Alto, CA

Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team ...

SpaceXAI

Application Security Engineer

Palo Alto, CA · On-site

$69.25 - $92.50/hr

Job Summary : xAI is a technology-driven company focused on creating AI systems to aid humanity in ... to open-source security projects or tools • Experience in securing AI/ML models and data ...

Tzafon

Member of Technical Staff - Foundations

Zurich, MT · On-site

$200K - $500K/yr

Trained foundation models at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta, xAI, etc ... Contributions to open source ML infrastructure (PyTorch, JAX, vLLM, etc.) * Experience with ...

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How much do xai openings jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for xai openings in the United States is $48.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $60.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in an AI (Artificial Intelligence) job opening, and why are they important?

To thrive in an AI job opening, you generally need a solid background in computer science, mathematics, and statistics, often supported by a relevant degree and experience with machine learning algorithms. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and cloud platforms is typically required, as well as certifications in AI or data science. Critical thinking, problem-solving, and effective communication help individuals excel when translating complex technical concepts to stakeholders and collaborating in multidisciplinary teams. These skills are crucial for creating innovative AI solutions that address real-world problems and drive business value.

What are XAI openings?

XAI openings refer to job opportunities in the field of Explainable Artificial Intelligence (XAI). These positions typically focus on developing AI systems that are transparent, interpretable, and understandable by humans. Roles may include research scientists, machine learning engineers, or data scientists who specialize in creating algorithms and tools that help explain how AI models make decisions. XAI is important for building trust in AI systems and ensuring compliance with industry regulations. Candidates interested in XAI openings usually need a background in AI, machine learning, and a strong understanding of explainability methods.

What is the difference between Xai Openings vs Data Analyst?

AspectXai OpeningsData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI toolsBachelor's in Statistics, Mathematics, or related; proficiency in data analysis software
Work EnvironmentTech companies, AI startups, research labsCorporate offices, consulting firms, finance, healthcare
Employer & Industry UsagePrimarily in AI and machine learning sectorsAcross various industries including finance, marketing, healthcare

While Xai Openings focus on roles related to explainable AI and machine learning models, Data Analysts typically handle data interpretation and reporting across multiple industries. Both roles require analytical skills, but Xai Openings are more specialized in AI transparency and explainability.

What are some common challenges faced by professionals in XAI (Explainable Artificial Intelligence) roles, and how can they be addressed?

Professionals in XAI roles often encounter challenges balancing model accuracy with interpretability, as more transparent models can sometimes be less performant. Additionally, effectively communicating complex AI concepts to non-technical stakeholders is crucial and can be demanding. To address these challenges, XAI specialists frequently collaborate with data scientists, domain experts, and business teams, utilizing visualization tools and user-friendly explanations. Staying updated on the latest XAI frameworks and best practices also helps in overcoming technical hurdles and ensuring compliance with ethical standards.
What cities are hiring for Xai Openings jobs? Cities with the most Xai Openings job openings:
What states have the most Xai Openings jobs? States with the most job openings for Xai Openings jobs include:
What job categories do people searching Xai Openings jobs look for? The top searched job categories for Xai Openings jobs are:
Xai Openings jobs near you
Infographic showing various Xai Openings job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 68% Full Time, 23% Part Time, and 8% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $100,198 per year, or $48.2 per hour.

Member of Technical Staff - Inference

RadixArk

Palo Alto, CA • On-site

Full-time

Re-posted 20 days ago

Job description

About the Role

RadixArk is seeking a Member of Technical Staff - Inference to push the limits of large-scale AI inference.

You will work on the core systems that serve frontier models at scale, optimizing performance, latency, throughput, and cost across thousands of GPUs. This role sits at the intersection of systems engineering, ML infrastructure, and performance optimization.

Your work will directly shape how state-of-the-art models are deployed and experienced by users worldwide.

This is a deeply technical, high-impact role for engineers who enjoy working close to the hardware-software boundary and solving performance-critical problems at scale.

Requirements

  • 5+ years of experience in systems engineering, ML infrastructure, or performance-critical backend systems

  • Strong expertise in large-scale inference systems for LLMs or generative models

  • Deep understanding of GPU architecture and performance characteristics

  • Experience optimizing latency- and throughput-critical production systems

  • Strong knowledge of distributed systems and networking fundamentals

  • Proficiency in Python, Rust, C++, or Go for production systems

  • Experience profiling and optimizing compute-intensive workloads

  • Strong debugging skills across system layers (model, runtime, kernel, network)

Strong Plus

  • Experience with LLM serving stacks (SGLang, vLLM, TensorRT-LLM, etc.)

  • Open-source contributions in ML or systems infrastructure

  • Familiarity with CUDA, Triton, or custom kernel optimization

  • Experience with batching, KV-cache management, and scheduling strategies

  • Experience running inference at scale (1000+ GPUs)

  • Background in HPC or high-performance systems

Responsibilities

  • Design and build large-scale inference systems for frontier AI models

  • Optimize latency, throughput, and GPU utilization in production inference

  • Develop and improve model serving architectures and runtimes

  • Work on batching, scheduling, and memory management strategies

  • Collaborate with kernel, compiler, and systems teams on performance optimization

  • Debug performance bottlenecks across the stack

  • Drive reliability and scalability of inference infrastructure

  • Build tooling for observability, profiling, and performance analysis

  • Contribute to long-term inference architecture and strategy

About RadixArk

RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (30K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework). Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.

Compensation

We offer competitive compensation with equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.

Equal Opportunity

RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Apply