NVIDIA seeks a Senior Product Engineer based in Thailand (remote) to manage Interconnect products (AOC/transceivers), drive product yield and quality, implement change control and build management, and develop manufacturing partners. Requires 5+ years in product development, strong hardware and/or software engineering knowledge for optical products, experience with high-precision connectors/interconnects, advanced data analytics skills, and proficiency in written and spoken English. Travel to sites is required.

Lead technical owner for Webflow's deployment strategy and GitOps-based platform (ArgoCD, Argo Rollouts), responsible for CI/CD, progressive delivery (canary/blue-green/feature flags), environment management, observability, and reliability. Role includes building internal tooling, mentoring engineers, influencing cross-team architecture, and improving developer productivity. Permanent full-time, remote-first (Argentina); requires 7+ years in DevOps/SRE/Infrastructure roles and business-level English.

Work on the AppCore Stacks squad to design, build, and operate backend reconciliation and control-plane services that manage Grafana Cloud stacks (creation, configuration, migration, and operation). The role involves Go-based backend development, Kubernetes and cloud integrations, infrastructure-as-code tooling (Helm, Terraform, Jsonnet), incident response, and cross-team collaboration. UK compensation range: GBP 72,000–90,000.

Lead technical strategy and implementation for DGX Cloud cluster operations, including automation, GitOps, lifecycle management, validation, repair, upgrades, observability, SLOs, and incident response. Requires 15+ years building and operating large-scale distributed systems or cloud infrastructure, deep Kubernetes and Linux experience, and strong programming skills in Go or Python. Role involves mentoring engineers and influencing cross-functional platform, infrastructure, storage, networking, and security teams.

Work on securing large-scale Linux and AI cluster infrastructure including incident response, disaster recovery, system hardening, security controls, governance, and audit readiness. Requires strong C/C++ skills, Linux kernel hardening (SELinux/AppArmor), eBPF, experience securing large-scale Linux and HPC environments, and demonstrated incident response expertise. BS in a relevant field or equivalent and 8+ years of relevant experience.

Role to build and operate infrastructure that ingests clickstream, product interaction, and transactional data, handling millions of messages per second with single-second end-to-end latency. The position emphasizes ownership, distributed systems and system design experience, and familiarity with streaming technologies (examples: Kafka, Kinesis, Pulsar, Warpstream). Remote for North America; listed base salary $180,000–$400,000 USD/year.

Work on Hightouch’s Customer Studio as a product-minded backend engineer solving high-scale backend and distributed systems problems (data warehouse performance, query optimization, real-time audience syncing including CDC, analytics/experimentation, and generative AI). Role is senior-level and remote (North America). Salary range stated: $180,000–$400,000 USD per year.

Hightouch is hiring a senior product-minded backend engineer for its Control Plane team to work on backend and distributed systems problems including access control, change management, and data warehouse performance/cost optimization. The role is remote (North America); the listed salary range is $180,000–$400,000 USD/year. Responsibilities emphasize system architecture, scalability, reliability, and writing/engaging with product specs.

Lead engineering on Hightouch's streaming infrastructure that ingests clickstream and transactional events and powers real-time personalization. Responsibilities include architecting systems to preserve <1s end-to-end latency at >1,000,000 messages/sec, message deduplication, caching improvements, and enabling zero-downtime deployments while mentoring and leading other engineers.

Build and automate scalable performance analysis tools and integrations for AI training and inference, collaborate with performance engineers, hardware architects, and software teams, and identify/automate detection of performance bottlenecks. Requires M.S. or PhD (or equivalent), 6+ years' relevant experience, deep knowledge of AI workloads and frameworks, and strong software skills (Python, C++).

NVIDIA is hiring a Senior Compiler Engineer - AI to design and implement learning-based compiler optimization workflows and integrate LLM systems with compiler infrastructure. The role requires 8+ years of software engineering and AI/ML experience, strong knowledge of compilers, code generation, GPU architecture, hands-on LLVM/MLIR experience, and proficiency in Python and C/C++. Locations listed include US (Redmond, Santa Clara, Austin) and remote. Base salary range listed: 184,000 USD - 287,500 USD per year.

Lead a portfolio of technology projects and a team of developers for Capital One Shopping, building distributed microservices and full-stack systems. Requires a minimum of 6 years software engineering experience and experience with cloud platforms (AWS/GCP/Azure) and technologies such as JavaScript, Java, TypeScript, SQL, Python, Go, Docker, and Kubernetes. Position is remote eligible and Capital One may sponsor employment authorization.

Lead a portfolio of engineering projects and a team to build cloud-based, full stack systems for Capital One Shopping. Role requires experience with JavaScript/Java/TypeScript/Python/Go, RDBMS and NoSQL databases, containerization (Docker, Kubernetes), and AWS/GCP/Azure. Minimum 4 years software engineering experience; position is not open to candidates requiring visa sponsorship.

Role focuses on deep debugging and enhancement of cloud-native stacks for multi-rack, multi-tenant AI datacenters (Kubernetes internals, Slurm), prototyping features and testbeds (Helm/Ansible/Terraform), and collaborating with CSPs and internal teams to deliver production integrations. Requires 10+ years in distributed systems development and hands-on experience with GPUs, container orchestration, CI/CD, and observability tooling.

NVIDIA seeks a Principal Rack Scale Systems Infrastructure Engineer to design and guide development of control plane and infrastructure software for rack-scale products. Responsibilities include architecture of orchestration systems (Kubernetes-based), firmware and OS lifecycle management, networking fabrics (Ethernet, InfiniBand, RDMA), and collaboration with hardware teams and hyperscalers. Requires 15+ years experience and practical coding in Go, C++, or Rust.

NVIDIA is hiring a Senior Systems Software Engineer to develop features for GPU performance profiling tools (Nsight Compute). The role requires 8+ years of software engineering experience, strong C++ skills, knowledge of GPU hardware, and experience or interest in CUDA kernel programming and profiling. Responsibilities include designing features, collaborating with GPU hardware and compiler teams, and contributing to tools used by CUDA developers.

Role involves integrating new CUDA features and runtime abstractions into AI frameworks, performing workload and performance analysis, collaborating with researchers and architects, and developing runtime/tools for multi-GPU and multi-node deep learning workloads. Requires 8+ years industry experience, strong skills in CUDA, C++, Python, deep learning frameworks, distributed ML techniques, and performance profiling/benchmarking.

Work on research-oriented projects that bridge deep learning frameworks and low-level CUDA to optimize performance from single GPUs to cluster-scale supercomputers. Responsibilities include designing and optimizing custom CUDA kernels, architecting distributed compute systems, profiling hardware-software interactions, and collaborating with researchers and compiler/driver teams. Requires 8+ years experience and strong background in deep learning (transformers), systems programming, and GPU performance optimization.

Join GitHub's distributed Traffic Team to design, implement, and operate scalable, reliable traffic and load-balancing systems (including the GitHub Load Balancer). Responsibilities include architecture and technical leadership, coding (primarily Go and Ruby), mentoring, participating in on-call rotation, and improving DDoS/abuse protection and routing/rate-limiting at global scale. Requires several years of production software experience and experience building/supporting high-traffic cloud-native systems.

Ramp seeks a product-minded backend engineer to build infrastructure and services for AI-native marketing and growth products, including incentives, orchestration, APIs, data models, and long-running workflows. The role requires 5+ years of backend production engineering experience (strong proficiency in Python or another server-side language), experience owning services/APIs and event-driven or distributed workflows, and familiarity with governed systems involving permissions, policies, budgets, or financial actions. The position is based in New York, NY (HQ).