Role involves researching and developing techniques to GPU-accelerate deep learning, machine learning, and AI workloads; performing in-depth analysis and optimization of complex AI and HPC algorithms on CPU and GPU architectures; collaborating with industry and academic experts; publishing or presenting optimization techniques; and influencing hardware and software design. Requires an advanced degree (or equivalent), 8+ years' relevant experience, programming fluency in C/C++, expertise in parallel programming (CUDA, OpenACC, OpenMP, MPI, pthreads), low-level performance optimization, and CPU/GPU architecture knowledge.

Grafana Labs is hiring a Staff Backend Engineer to build the first production services for an AI-native context layer: ingestion, indexing, retrieval APIs, multi-tenant SaaS foundations, and agent-facing integrations. This is a remote role with a Germany base compensation range listed as EUR 109,709–131,651 per year.

Role to design, implement, tune and maintain large-scale HPC/AI clusters (monitoring, logging, alerting), manage job scheduling/orchestration (e.g., Slurm, K8s), develop CI/CD and automation tooling, and troubleshoot from bare metal to application. Requires 8+ years experience and knowledge of CPUs/GPUs, high-speed interconnects, Linux/Windows internals, storage solutions (Lustre, GPFS, Weka.io), networking protocols and virtualization/cloud platforms.

Senior-level software engineer responsible for owning technical design and delivery of multi-component AI systems across Mapbox teams. Responsibilities include building evaluation frameworks for non-deterministic systems, shipping LLM-backed features, developing data pipelines (ingestion, conflation, entity resolution, batch/streaming), instrumenting systems for reliability, and participating in on-call rotations. Geospatial and voice pipeline experience, API/SDK design, and MCP familiarity are listed as nice-to-have.

NVIDIA seeks a Senior AI Compute Engineer to work with customers, partners and internal teams to plan, deploy and support large AI factory systems. Responsibilities include Linux-based system administration, data center networking and monitoring, automation/scripting, troubleshooting hardware and software issues, creating handover documentation and knowledge transfers. Requires a bachelor’s degree or equivalent and 8+ years of data center support and deployment experience; excellent English communication skills. Kubernetes, NVIDIA/AI infrastructure experience and industry data center certifications are listed as desirable.

You will author merged PRs and build integrations (libraries, agent frameworks, MCP servers, automation platform connectors) so developers and AI agents can access SearchApi. Required: proven merged open-source contributions in repos you don't own, fluency with Ruby/Python/TypeScript and at least one agent/automation framework, and strong written English for docs and PRs.

Join a multidisciplinary team to design, develop, and optimize high-performance CPU and GPU-accelerated software libraries used in AI, data analytics, image processing, computer vision, and scientific simulation. Role requires developing scalable library software, performance tuning and benchmarking across architectures, collaborating with internal and external partners, and providing technical leadership. Preferred: MSc/PhD or equivalent experience and 5+ years developing and optimizing parallel numerical applications with GPU acceleration (CUDA).