Work on a 0→1 engineering team building AI-powered agent systems that interact with internal systems to automate workflows and decision paths. Responsibilities include designing and implementing inference pipelines, architecting backend services that integrate with multiple internal APIs and data sources, prototyping and productionizing agent behaviors, and defining patterns for safe, observable, and controllable agent execution. Role requires 5+ years building and shipping production software with strong backend fundamentals and hands-on experience with AI/ML or LLM-based systems.

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.

Lead and develop a cross-functional engineering team that builds AI-native Growth Engine features, core growth infrastructure (website, user communications, martech) and tooling. Role combines hands-on backend development (production-grade code), technical guidance, people leadership, cross-functional collaboration with Product and Design, and use of AI tooling to improve team productivity. Familiarity with modern languages (TypeScript, Rust, Go, Python) and experience in distributed, remote-first environments expected.

Join Enterprise Transformation to own the technical layer of Kraken's AI platform: design integration surfaces and production runbooks; onboard connectors and authentication flows (OAuth, SSO, SCIM, Okta); implement tiered spend controls and data/model governance; build internal enablement tooling (agent scaffolding, prompt assets, evaluation harnesses); manage provisioning, vendor configs, and operational processes. The role requires hands-on software development (Python), experience with LLM/SaaS APIs, and operational discipline at enterprise scale.

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.

WhiteTech seeks an AI Architect to lead AI technology strategy and design production-ready AI and LLM-powered solutions integrated into fintech products. Responsibilities include architecting RAG and retrieval systems, AI agents, orchestration, prompt and model management, model evaluation and lifecycle, and security/compliance for regulated data. The role requires strong software architecture experience, cloud-native and distributed systems knowledge, and hands-on experience integrating commercial or open-source LLMs into production.

Senior Principal Architect in NVIDIA's Advanced Development team working on GPU Networking to optimize AI workloads. Responsibilities include leading vision, architecture, and proof-of-concept development across distributed AI, HPC, SDN, virtualization, storage and related data center technologies. Requires M.Sc. or Ph.D. (or equivalent), 8+ years industry experience in systems architecture or related fields, experience with virtualization, networking, storage, Windows and Linux drivers, and strong performance profiling and optimization skills.

NVIDIA is hiring a Senior Software Engineer to design and implement JAX core components, drive performance on NVIDIA products, and build tools for AI teams. Requires 6+ years relevant experience, strong C/C++ and Python skills, familiarity with ML frameworks (e.g., PyTorch, TensorFlow), and technical knowledge of CPU/GPU architectures, numeric libraries, and distributed training.