Role involves performance characterization and root-cause analysis of multi-GPU and multi-node clusters, evaluating and implementing solutions in communication libraries (e.g., NCCL, UCX, NVSHMEM). Requires 3+ years in parallel programming and experience with communication runtimes, C/C++, Python, and HPC networking and tooling.

CrowdStrike seeks an Engineer III to develop and operate the NG-SIEM Global Serverless Platform control plane, focusing on scaling ingest/search for very large event volumes, high availability, automation and region-level integrations. Role is hybrid (in-office 2–3x/week) in Austin, TX. Candidates must be U.S. citizens or permanent residents. Base salary range: $140,000–$215,000 per year.

Role involves designing, building, and maintaining security products and infrastructure at cloud scale: real-time detection engines (Apache Flink, Kafka), high-throughput security APIs and microservices (Go, Node.js), streaming analytics, and Kubernetes-based security solutions. Requires experience with distributed systems, cloud platforms (AWS/GCP/Azure), infrastructure-as-code (Terraform/Helm/Chef), and familiarity with security tooling (SIEM, WAF, IDS/IPS).

Responsible for designing, building, and maintaining security products and infrastructure: real-time detection engines (Apache Flink, Kafka), high-performance APIs and microservices (Go, Node.js), Kubernetes-based security solutions, and petabyte-scale data pipelines. Requires 5+ years of software engineering experience, strong Go and JavaScript skills, deep distributed systems and Kubernetes knowledge, and cloud experience (AWS/GCP/Azure). Role is listed as hybrid.

Arize AI is hiring a Senior AI Product Engineer (Backend) to design and implement high-performance, scalable backend services (primarily in Go, plus Python, Java, TypeScript) for their ML/LLM observability platform. The role involves building APIs, analytics systems, OLAP work, and integrations with cloud and container orchestration platforms; 5+ years of backend experience is required. The position is remote-first with offices in New York City and the San Francisco Bay Area.

Arize AI is hiring a Senior Design Engineer to design, prototype, and ship product experiences for Arize Phoenix, including UI-driven and programmatic workflows, interactive visualizations (embeddings, traces, evaluations), and Agent Experience (AX) primitives. The role emphasizes frontend engineering (React, TypeScript), design sensibility, prototyping, accessibility, and contribution to open-source and async collaboration.

Work on Ramp's Dev API team to design, build, and operate multi-surface developer-facing APIs and autonomous tooling. Requires 5+ years of backend engineering experience, strong focus on developer experience, end-to-end ownership, and demonstrated hands-on use of AI coding agents. Role is based in New York, NY.

Datadog is hiring a Senior Software Engineer to solve scaling bottlenecks, deploy features with progressive rollout via feature flags, investigate and fix production issues, and design systems for higher traffic. Requires 6+ years experience, strong programming skills (Go, C, Python), system design for high scale, and experience or interest in applying AI coding tools and building AI backend systems. Familiarity with Redis, Cassandra, Kafka, observability (metrics, logs, tracing), and data pipelines is a plus.

DataCamp seeks a Principal AI Engineer to develop the core AI tutoring system that provides real-time, adaptive learning. Responsibilities include prompt architecture and agentic workflow design, rigorous experimentation and custom evaluation metrics, integrating AI with platform and content pipelines, productionizing model interactions, and ensuring quality, safety, and observability. Requires 1+ years building LLM-based systems, strong Python and software engineering fundamentals, and experience with cloud/production infrastructure and CI/CD.

NVIDIA seeks a Senior Deep Learning Performance Architect to develop GPU and system architectures, build power and performance models for AI inference, construct and evaluate deep learning algorithms, and collaborate across software, research, and product teams. Requires MS/PhD or equivalent, 5+ years' relevant experience, strong ML/math foundation, expert programming in C/C++/Python, and familiarity with GPU computing (CUDA) and HPC (MPI/OpenMP).

Build single-tenant and dedicated deployment options, private networking (VPC peering, static IPs), authorization services, BYOK/CMEK and data residency controls, and Terraform automation. Requires 4+ years in infrastructure/platform engineering, strong programming in Go/TypeScript/Python, production Kubernetes and cloud networking experience, and familiarity with auth/authorization and encryption fundamentals.

Join Replit Cloud to build and operate first‑party cloud services (databases, storage, hosting, publishing, env splitting, custom domains) and ship full‑stack features using TypeScript, React, Go, Postgres and Terraform. Role focuses on product and infrastructure development, architectural decisions, leveraging AI/agentic systems, and requires in‑office presence in Foster City, CA three days per week.

Senior technical leader reporting to the VP of Engineering for Replit Cloud. Responsible for driving major projects (0->1 and scaling primitives), mentoring senior engineers, and shipping full-stack infrastructure and product features using TypeScript, React, Postgres, Go, and Terraform. Requires 10+ years software experience and 3+ years in technical leadership.

Join Replit's new Enterprise team to design, build, and own full-stack features for enterprise customers (authentication, permissions, security, compliance, collaboration tools). Work with product, design, and AI engineers, ship production code using React, TypeScript, Node.js, GraphQL, and Postgres, and engage directly with customers to iterate on solutions.

Build and expand Replit's cloud infrastructure and platform offerings (launch cloud products, enable application deployment). Work with SRE to improve reliability, scalability, monitoring, and cost efficiency. Required experience with distributed systems and cloud technologies; preferred familiarity with GCP, serverless, and container orchestration. Tech stack includes Golang and Rust. Role requires participation in an on-call rotation.

NVIDIA is hiring a Senior Machine Learning Applications and Compiler Engineer for the LPX inference and compiler stack. The role involves building and maintaining compiler and runtime components, implementing mappings of large-scale inference workloads, extending NVIDIA software ecosystem, and collaborating with hardware teams. Required: MS/PhD or equivalent with 5 years' relevant experience, strong systems programming (C++/Rust), compiler/runtime experience (LLVM/MLIR), and familiarity with TensorFlow/PyTorch/ONNX.

Work on infrastructure software and tools to improve efficiency and resiliency for large-scale pre-training, post-training, and inference. Requires 8+ years building software infrastructure for large-scale AI systems, proficiency in Python/C/C++, experience with observability stacks (e.g., ELK, Prometheus, Loki), distributed systems, debugging/root-cause analysis, and familiarity with RDMA/NCCL/ucx/libfabrics and deep learning frameworks (PyTorch, TensorFlow, JAX, Ray).

Nearform seeks a Senior Software Engineer (Python & AI) based in the United States. The role involves designing and building Python applications, working with AI frameworks and LLM/agentic workflows, collaborating with clients and distributed teams, and using infrastructure such as Kubernetes, cloud platforms, CI/CD and version control. Candidates typically have at least 8 years' commercial experience. Visa sponsorship is not available; travel to U.S. client sites is required.

Principal engineering role to define and drive end-to-end software architecture for NVIDIA rack-scale systems (firmware, kernel drivers, OS, networking, fabrics, user-mode drivers, and manageability). Engage with component teams, vendors, and hyperscale customers; define requirements and roadmaps; mentor architects and make key technical decisions. Requires 15+ years' experience in system architecture and deep familiarity with networking protocols, accelerator system software, management standards (Redfish/IPMI), and platform security.

Work with NCCL, NVSHMEM and related technologies to integrate new communication features into AI frameworks (PyTorch, JAX, TRT-LLM, vLLM, SGLang), perform workload and performance analysis on multi‑GPU clusters, author fused compute-communication kernels, and influence communication library roadmaps. Requires 8+ years of software engineering and HPC/AI experience and proficiency with Python, C++, CUDA and performance tooling.