The Next Chapter W&S is hiring for work from home roles

The Next Chapter W&S

4 Remote Job Openings at The Next Chapter W&S

The Next Chapter W&S is hiring for remote High Performance Computing Engineer - Linux kernel

High Performance Computing Engineer - Linux kernel

The Next Chapter W&S · Full Time · a month ago
The Next Chapter W&S
🌎 Netherlands ⭐ 5-10 yrs exp 💼 Software Development
You will optimize large-scale GPU clusters and high-performance computing infrastructure to maximize computational throughput for AI workloads. The role involves a balance of operational troubleshooting and architectural design projects to maintain global HPC systems.
The Next Chapter W&S is hiring for remote Senior Performance & Infrastructure Engineer - HPC

Senior Performance & Infrastructure Engineer - HPC

The Next Chapter W&S · Full Time · a month ago
The Next Chapter W&S
🌎 Netherlands ⭐ 5-10 yrs exp 💼 Software Development
You will trace, profile, and optimize Linux kernel subsystems for massive GPU clusters and InfiniBand fabrics. Additionally, you will troubleshoot performance bottlenecks and integrate new hardware into the existing distributed infrastructure.
The Next Chapter W&S is hiring for remote Senior Linux Kernel Engineer - High-Performance Computing

Senior Linux Kernel Engineer - High-Performance Computing

The Next Chapter W&S · Full Time · a month ago
The Next Chapter W&S
🌎 Netherlands ⭐ 5-10 yrs exp 💼 Software Development
You will be responsible for tuning the performance of clusters and InfiniBand networks to ensure optimal operation in GPU-based environments. Additionally, you will analyze and troubleshoot root causes of infrastructure issues while integrating new hardware into the existing stack.
The Next Chapter W&S is hiring for remote Solutions Architect - AI / ML - Training & GPU infra

Solutions Architect - AI / ML - Training & GPU infra

The Next Chapter W&S · Full Time · a month ago
The Next Chapter W&S
🌎 Netherlands ⭐ 5-10 yrs exp 💼 Software Development
Design and validate production-grade distributed training and large-scale inference architectures on massive GPU clusters. Collaborate with customers to debug, optimize, and scale ML workloads while influencing product roadmaps based on real-world performance requirements.