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Showing 151-160 of 160 jobs

Software Engineer
Oculus VR
Active - posted 28 days ago

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Active - posted 28 days ago

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Dragonfly
Active - posted 28 days ago

Software Engineer, App Runtime
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Active - posted 28 days ago

GPU Systems (NVIDIA) Software Engineer
Edera
Active - posted 28 days ago

Senior / Staff Software Engineer (Database)
Materialize
Active - posted 28 days ago

Senior Backend Engineer - Autonomous Agents, Starfleet
xAI
Active - posted 28 days ago

Senior Software Engineer, Profiling
Sentry
Active - posted 29 days ago

Sr Software Engineer Embedded
NRG Energy
Stale - posted 31 days ago

Senior Software Engineer, Simulation Tooling
Zipline
Stale - posted 31 days ago

RDMA Engineer - Supercomputing
xAI
Active - posted 3 days ago
Job Description
Key Responsibilities:
RDMA Engineers on xAI’s Supercomputing team design and optimize low-latency, high-bandwidth networking solutions using NVIDIA’s RDMA-capable technologies to support some of the world’s largest GPU supercomputing clusters. These clusters drive AI training and inference workloads, demanding cutting-edge performance and scalability.
- 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.
Ideal Experience:
- 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.
- Bonus: Background in AI/ML training workflows and their networking demands (e.g., large-scale parameter synchronization).
Tech Stack:
- NVIDIA GPUs and Mellanox networking (InfiniBand, RoCE)
- RDMA protocols (e.g., GPUDirect RDMA, RoCEv2)
- Kubernetes
- Rust and C/C++
- MPI (Message Passing Interface) and NCCL (NVIDIA Collective Communications Library)
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 and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.