Latest platform engineer Jobs

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems, focusing on MLOps pipelines, distributed training, and inference performance across cloud and on-prem environments. Collaborate with internal teams and external customers to solve complex infrastructure challenges, particularly around LLMs and new hardware integration. Build open-source tools and reference architectures to scale AI workloads effectively.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems, focusing on MLOps pipelines, distributed training, and inference performance across NVIDIA's cloud platforms and open-source frameworks. Act as a technical advisor for internal and external customers, solving complex production issues and building scalable reference architectures. Work closely with infrastructure and framework teams to enhance AI workload capabilities on accelerated systems.

NVIDIA Germany PLN 292,500 – PLN 650,000 pa

Senior MLOps Engineer - DSX Enablement

This role involves building and deploying custom AI solutions on NVIDIA's NeoCloud and partner cloud platforms, with a focus on distributed training, inference optimization, and MLOps pipelines. The engineer will act as a technical advisor to both internal and external customers, diagnosing complex full-stack AI/ML system issues and contributing to open-source tools and reference architectures. Emphasis is placed on performance tuning, cross-team collaboration, and enabling cutting-edge AI workloads on NVIDIA hardware and software stacks.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior MLOps Engineer - DSX Enablement

Develop and optimize scalable MLOps pipelines and AI infrastructure on NVIDIA's NeoCloud and partner platforms, supporting large-scale training and inference workloads. Serve as a technical advisor to internal and external teams, diagnosing cross-stack performance issues and contributing to open-source tools and reference architectures. Focus on accelerating AI initiatives through deep systems expertise and collaboration with infrastructure and framework teams.

NVIDIA PLN 292,500 – PLN 650,000 pa

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated HPC and AI workloads for the energy sector, focusing on CUDA performance tuning for seismic processing, reservoir simulation, and power grid modeling. The engineer will work closely with customers and internal teams to profile, debug, and enhance multi-GPU and multi-node performance, delivering scalable solutions and reusable code. A strong background in low-level GPU optimization and HPC workflows is essential.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated energy simulation and AI workflows on NVIDIA platforms, with a focus on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune HPC applications, develop reusable code and benchmarks, and collaborate closely with customers and internal teams to deliver scalable multi-GPU and multi-node solutions. Work includes kernel optimization, memory management, and integration with AI-enhanced simulation pipelines.

NVIDIA Switzerland

On-site Permanent

Developer Technology Engineer, Energy

This role involves optimizing Energy simulation and AI workflows on NVIDIA's GPU platforms, focusing on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune HPC applications, develop reusable code and benchmarks, and collaborate with customers and internal teams to deliver scalable multi-GPU solutions. Work includes deep technical engagement on kernel optimization, memory hierarchy, and distributed computing patterns.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing high-performance computing and AI workflows for the energy sector on NVIDIA's GPU platforms. The engineer will profile and enhance CUDA performance for applications like seismic processing, reservoir simulation, and power grid modeling, working closely with customers and internal teams to deliver scalable, multi-GPU solutions. Responsibilities include developing reference code, debugging performance issues, and contributing to future product development through reusable libraries.

NVIDIA

Remote Permanent

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated HPC and AI workflows for energy applications such as seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune CUDA applications, develop reference implementations, and collaborate with customers and internal teams to deliver performance improvements on multi-GPU and multi-node systems. Work includes deep performance analysis, benchmarking, and contributing to future NVIDIA product development through reusable code and libraries.

NVIDIA

Remote Permanent

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and distributed inference. The engineer will deep-dive into complex distributed systems, develop automated testing frameworks, and optimize large-scale AI infrastructure. Collaboration with AI teams and upstream open-source communities is key to solving real-world AI workload challenges.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability for NVIDIA's DGX Cloud Kubernetes-based AI infrastructure. The engineer will diagnose complex distributed systems issues, develop automated testing frameworks, and optimize large-scale GPU-accelerated workloads from orchestration down to hardware. Collaboration with AI teams and open-source communities is key to advancing real-world AI deployment efficiency.

NVIDIA Germany PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities. Work includes optimizing AI infrastructure at scale and supporting continuous performance testing via CI/CD pipelines.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scale characterization for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will debug complex distributed systems, build monitoring tools, and optimize AI infrastructure at scale, working closely with AI researchers and open-source communities. The position emphasizes deep technical investigation, CI/CD integration, and contributions to large-scale AI workloads.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scale characterization for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will deep dive into distributed systems issues, develop automated testing frameworks, and collaborate with AI teams and open-source communities to optimize large-scale AI infrastructure. Key responsibilities include building monitoring tools, debugging ultra-large Kubernetes clusters, and contributing to CI/CD pipelines for continuous performance testing.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior Deep Learning Software Engineer, Inference

Design and optimize GPU-accelerated deep learning inference software for large-scale language and generative AI models. Develop and enhance high-performance frameworks like vLLM and SGLang, implementing cutting-edge algorithms and performance improvements across NVIDIA's GPU architectures. Collaborate with open-source communities and internal teams to optimize model serving pipelines using tools like CUDA, Triton, and CUTLASS.

NVIDIA PLN 221,250 – PLN 507,000 pa

Remote Permanent