NVIDIA is hiring a Senior Quantum Applied Research Scientist to design and build real-time, physics-informed ML systems for quantum calibration and decoding. The role involves synthetic data generation, surrogate modeling, reinforcement/online learning for calibration policies, and GPU-accelerated implementations; a PhD is strongly preferred and 8+ years of relevant experience is required.

Join Coinbase's IT Operations (ESTO) to build and scale core AI infrastructure and internal AI products. Responsibilities include owning end-to-end delivery of production-grade distributed systems (serving infrastructure, data pipelines, deployment orchestration), designing APIs and developer tooling, partnering across teams to define platform contracts, and raising engineering standards. Role is remote-first for the USA with quarterly in-person working sessions.

Join the ESTO IT Operations team to build production-grade AI infrastructure and internal AI products. Responsibilities include owning end-to-end delivery of distributed systems (serving infrastructure, data pipelines, deployment orchestration), driving platform adoption via clean APIs and developer tooling, and ensuring reliability, observability, and security at scale. Requires 5+ years automating/supporting cloud (AWS) and network environments, hands-on IaC (Terraform/Ansible/Chef/Puppet/Salt), production Docker/Kubernetes experience, and proficiency in languages such as Python, Bash, Ruby, or Go. Quarterly in-person "surges" are expected.

Join Coinbase as a Staff Software Engineer in the EAA-CX organization to drive AI maturity and developer-experience across multiple engineering squads. Responsibilities include architecting and delivering large-scale distributed backend services (API design, microservices), improving reliability and observability (SLOs, incident response), evaluating build-vs-buy for tooling, and integrating agentic AI systems (LLM orchestration, RAG, HITL). Role requires 8+ years of experience and proficiency with cloud-native technologies (AWS, Kubernetes, Terraform), event-driven systems (Kafka/MQ), databases, security and compliance controls, and strong coding ability in Go and Python.

NVIDIA seeks a Senior AI/HPC Engineer / Solution Architect to deploy, manage, and maintain Linux-based AI/HPC infrastructure for customers. The role involves system and network design, cluster management, automation, troubleshooting, documentation and customer-facing support for large GPU clusters and AI workloads. Requires 5+ years of relevant deployment/support experience and strong Linux, networking, scheduler, and automation skills.

Work with founding and product engineering teams to prototype, develop, and operate Generative AI features and ML integrations (LLMs, fine-tuning, inference platforms) across backend and frontend. Requires 6+ years' experience and experience with MLOps, TypeScript/JavaScript and either Node.js or React; role includes on-call duties. Remote role for United States candidates; salary range $225,000–$265,000 USD/year.

Technical software engineering role within Data Science focused on building production multi-agent systems, AI-powered security chatbots, and applied LLM workflows for security operations (alert triage, summarization, automation). Role expects 8+ years of professional software engineering experience, 1–2 years hands-on applied AI building multi-agent/chatbot or tool-using agent systems, expertise in .NET/TypeScript/Python, familiarity with cloud AI services (AWS Bedrock preferred) and LLM SDKs, and strong emphasis on evaluation, reliability, and AI security practices.

Lead validation, tuning, benchmarking, and root-cause analysis of distributed LLM training and inference workloads across multi-GPU and multi-node NVIDIA GPU platforms. Requires 8+ years building software infrastructure for large-scale AI/HPC systems, deep experience with NCCL/CUDA, PyTorch and NVIDIA AI stacks, strong Python and C/C++ skills, and experience operating containerized cluster environments.

Role at NVIDIA on the perception team to design end-to-end perception solutions for autonomous vehicles (lane graphs, road boundaries, traffic elements) using deep learning. Responsibilities include applied research, working with large data and labeling teams, simulation/augmentation, and productizing models to meet safety, latency, and robustness requirements. Minimum experience varies by degree (PhD 4+, MS 6+, BS 8+).

Join Reddit's Agentic Ads Experience team to build AI-powered advertiser-facing systems (campaign assistants, creative generation, audience discovery, analytics, optimization). Role involves end-to-end product execution, architecting agentic/LLM workflows, building reliability and guardrails, defining measurement and evaluations, and cross-functional collaboration. Requires 5+ years as a software engineer and hands-on experience building generative AI applications.

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.

Cloudera seeks a Senior Data Scientist to design, develop, and deploy Generative AI and LLM-powered internal applications, copilots, and retrieval-enabled pipelines. The role requires strong Python/R and SQL skills, experience with production ML and evaluation frameworks, familiarity with modern ML and deployment frameworks (e.g., FastAPI, Streamlit, Gradio), and 5+ years of relevant experience. This position is remote from Costa Rica and is not eligible for immigration sponsorship.

Pindrop seeks a Research Scientist II to independently drive research on real-time video processing, face recognition, and video deepfake detection. Requires a PhD or equivalent experience, 3+ years in deep learning applied to computer vision, strong Python and ML framework skills (PyTorch/TensorFlow/Keras), and experience building reproducible research packages. Position is US-remote with a stated base pay range of $160,000–$185,000 USD per year.

AE Studio seeks an experienced Alignment Scientist/Engineer to perform near-full-time alignment R&D, working autonomously on ML research, experiments, and deployments. The role requires strong skills in Python, PyTorch, modern deep learning tooling, model training/evaluation, calling model APIs, and communicating technical work; experience in alignment or ML research is expected. The position is remote-first (US candidates noted) and the posted US salary range is $180,000 to $240,000 per year.

NVIDIA seeks an engineering manager to lead engineering activities for productizing deep learning models, including creating, optimizing, and deploying training and inference workloads. Role requires strong algorithms/DL background, programming, debugging, performance analysis, and 8+ years' experience (including 3+ years management). Position is based in Poland (remote/Warsaw) with travel to conferences/sites occasionally. Poland salary ranges are provided.

Hands-on technical leader reporting to the Director, Enterprise AI. Responsibilities include diagnosing business problems, mapping workflows, designing and shipping AI solutions quickly (prototypes to production), integrating with existing systems (APIs, orchestration tools, GitLab Duo Agent Platform), and measuring success with business and flow metrics. Strong engineering fundamentals, LLM/AI expertise, systems thinking, and experience with enterprise systems (e.g., Salesforce, Marketo, Zendesk) are emphasized. Role is remote with a U.S. salary range provided.

Lead technical collaborations with supercomputing centers and industry partners to develop hybrid quantum-classical applications; drive research in AI for quantum algorithms; manage execution of technical projects with QPU builders and strategic partners; publish research and represent NVIDIA at conferences; support customer adoption through strategic technical engagement. Requires PhD or equivalent, 9+ years working on quantum algorithms and applications, and demonstrated technical leadership.

Build and operate production Python services and AI-enabled systems to automate and scale security workflows (design review, threat modeling, vulnerability analysis). Work includes RAG/semantic search, multi-agent systems, code-review automation, pipelines for ingesting/indexing code and documents, observability and evaluation of AI systems, and integrations with GitHub/Slack/Jira/Confluence. Role is remote (based in the U.S.) and reports to the Security Automation Manager.

NerdWallet seeks a Software Engineer (AI & Automation) within Security to design and build AI-enabled workflows (RAG, multi-agent systems), automated code-review and vulnerability analysis tools, production Python services/APIs, scalable ingestion/indexing pipelines, and integrations with engineering tools (GitHub, Slack, Jira, Confluence). The role emphasizes production experience with LLM APIs/agents, distributed/cloud systems, observability, testing, and applying security controls to AI applications. Remote across Canada (except Quebec).

Mid-level software engineering role focused on implementing product features and services across backend and frontend, collaborating on technical design, contributing to CI/CD pipelines, testing, monitoring, and operational reliability. Requires 3+ years of professional experience, strong C#/.NET and API skills, familiarity with Docker and cloud platforms (Azure/AWS), and experience with AI development tools.