Full-Time
High-Performance Networking Engineer
Supercomputing
Confirmed live in the last 24 hours
xAI
1,001-5,000 employees
AI tools for research and information retrieval
Compensation Overview
$180k - $440k/yr
Senior, Expert
Palo Alto, CA, USA + 1 more
More locations: San Francisco, CA, USA
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- Hands-on experience with NVIDIA RDMA technologies (e.g., GPUDirect RDMA, RoCE, InfiniBand) in HPC or AI supercomputing environments.
- Proficiency in programming with Rust, C, or C++ for low-level networking and system optimization.
- Familiarity with NVIDIA’s networking stack, including Mellanox drivers, libraries (e.g., libibverbs), and tools (e.g., NVPeerMemory).
- Experience optimizing distributed systems with MPI, NCCL, or similar frameworks for GPU-accelerated workloads.
- Knowledge of Kubernetes networking and integrating RDMA into containerized environments.
- Develop and tune RDMA-based communication systems leveraging NVIDIA GPUs and Mellanox NICs (InfiniBand, RoCE) for ultra-fast data transfer between nodes.
- Implement and optimize GPUDirect RDMA to enable direct memory access between GPUs and network interfaces, minimizing CPU overhead.
- Integrate RDMA solutions with Kubernetes-based workloads, ensuring seamless operation across distributed compute and storage systems.
- Collaborate with AI researchers and infrastructure teams to accelerate data pipelines and collective communications using NCCL and MPI.
- Troubleshoot and resolve performance bottlenecks in high-throughput, low-latency networking environments.
- Bonus: Background in AI/ML training workflows and their networking demands (e.g., large-scale parameter synchronization).
x.ai develops AI tools to assist in research and information retrieval, with its main product being Grok. Grok is designed to answer a variety of questions, including unconventional ones, providing real-time knowledge that other AI systems may not handle. This makes it particularly useful for researchers, academics, and professionals who need quick access to relevant information. Unlike competitors, Grok stands out for its ability to suggest questions and provide nuanced answers, making it a versatile research assistant. The company aims to enhance productivity and innovation by continuously improving Grok based on user feedback, and it generates revenue through subscription fees and licensing agreements.
Company Size
1,001-5,000
Company Stage
Series C
Total Funding
$12.1B
Headquarters
Burlingame, California
Founded
2023
Simplify's Take
What believers are saying
- Integration with X's data enhances AI personalization and user engagement.
- Grok-3-Mini-Fast-Beta offers cost-effective solutions for real-time applications.
- API access for Grok 3 facilitates broader adoption and integration.
What critics are saying
- Privacy concerns from X acquisition could lead to regulatory scrutiny.
- Meta's Llama 4 models increase competition with potentially lower-cost AI solutions.
- OpenAI's O3 and O4-Mini models may overshadow xAI's offerings.
What makes xAI unique
- Grok provides real-time knowledge and answers unconventional questions, unlike typical AI systems.
- xAI focuses on scientific discovery, setting it apart from general AI companies.
- Grok's ability to evolve with user input enhances its adaptability and relevance.
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Benefits
Health Insurance
Remote Work Options
Growth & Insights and Company News
6 month growth
↓ -4%1 year growth
↑ 1%2 year growth
↑ 39%Elon Musk's AI company, XAI, has acquired the social media platform X (formerly Twitter) for $33 billion. This move aims to integrate X's vast user data with XAI's AI capabilities to enhance personalization and engagement. However, the acquisition raises significant privacy concerns due to potential data misuse. The integration is seen as a step towards developing Artificial General Intelligence (AGI), leveraging X's 600 million monthly active users for AI model training.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreOpenAI launched two groundbreaking AI models today that can reason with images and use tools independently, representing what experts call a step change in artificial intelligence capabilities.The San Francisco-based company introduced o3 and o4-mini, the latest in its “o-series” of reasoning models, which it claims are its most intelligent and capable models to date. These systems can integrate images directly into their reasoning process, search the web, run code, analyze files, and even generate images within a single task flow.“There are some models that feel like a qualitative step into the future. GPT-4 was one of those. Today is also going to be one of those days,” said Greg Brockman, OpenAI’s president, during a press conference announcing the release. “These are the first models where top scientists tell us they produce legitimately good and useful novel ideas.”How OpenAI’s new models ‘think with images’ to transform visual problem-solvingThe most striking feature of these new models is their ability to “think with images” — not just see them, but manipulate and reason about them as part of their problem-solving process.“They don’t just see an image — they think with it,” OpenAI said in a statement sent to VentureBeat
xAI has introduced Grok-3-Mini-Fast-Beta, a streamlined version of the renowned Grok-3 model.
Elon Musk's AI company xAI has recently launched a new AI model like GPT-3.
Meta’s latest open-source AI models are a shot across the bow to the more expensive closed models from OpenAI, Google, Anthropic and others. But it’s good news for businesses because they could potentially lower the cost of deploying artificial intelligence (AI), according to experts. The social media giant has released two models from its Llama [] The post Meta’s Llama 4 Models Are Bad for Rivals but Good for Enterprises, Experts Say appeared first on PYMNTS.com.