NVIDIA is hiring a Senior Software Engineer to build intuitive AI developer tools, implement application logic, APIs, and CLIs, and drive test automation and CI/release processes. Requires B.Sc or equivalent, strong Go experience, 8+ years building complex APIs/applications, and familiarity with container technologies (Docker/Podman). Experience with agentic development, inference engines, and Python is a plus. Salary range provided (USD 184,000–356,500/year across levels).

Join Coinbase's CX Intelligence team to design and deploy a unified orchestration layer for vendor and internal LLMs, build production-grade Python ML services, lead complex ML projects, and establish best practices. Requires 5+ years of ML/software engineering experience, proficiency with LLMs/generative AI, Python, and specialization in at least one domain (NLP, information retrieval, computer vision, or statistical modeling). Salary (base) listed in BRL.

Join Granicus as a senior software engineer operating in an AI-native development lifecycle: decompose work for coding agents, author evaluation suites, and perform rigorous, high-throughput reviews of agent-generated pull requests. The role requires strong engineering fundamentals, experience with eval-driven development and agent-directed delivery, and ownership of correctness, performance, security, and WCAG accessibility within a regulated (FedRAMP/NIST/SOC 2) context.

CrowdStrike seeks a Senior AI Growth Engineer to own the technical foundation of an agentic AI platform for marketing. Responsibilities include building integrations (Marketo, Workfront, CMS), orchestration for multi-agent pipelines, production UIs and tooling, CI/CD and reliability, analytics and evaluation frameworks, and custom AI agents. Requires 8+ years full‑stack experience with Python and modern JS/TS, production experience with LLM APIs and agentic systems, frontend experience (React), systems design, and integration experience. US base salary range: $160,000–$250,000/year.

CrowdStrike seeks an AI Research Scientist to build next-generation agentic systems for cybersecurity. Responsibilities include post-training of LLMs (supervised fine-tuning, RLHF/RLAIF, policy optimization), designing agent workflows (planning, tool calling, retrieval/memory), creating rigorous evals and benchmarks, optimizing inference, and collaborating with engineering teams to move prototypes toward production. Requires deep ML/LLM expertise, reinforcement-learning experience, PyTorch and GPU proficiency, and strong research engineering skills.

Role requires characterizing and benchmarking large-scale LLM training/inference on GPU/CPU clusters, focusing on networking and communication libraries (NCCL, RDMA, RoCE, MPI). Responsibilities include profiling, developing PyTorch trace-based tools, cross-team performance analysis, and defining test plans. Requires experience with CUDA, deep learning frameworks, containers, and extensive performance evaluation experience.

Senior engineering lead role responsible for architecting and building production-grade agentic AI solutions and LLM-powered workflows across GTM technology (Salesforce, Slack, third‑party apps). Requires 8+ years software engineering experience (3+ years in lead/principal role), strong Python and TypeScript skills, experience with agentic AI frameworks, RAG/semantic search, vector DBs, Salesforce development (Apex/LWC), cloud AI platforms (AWS Bedrock, Vertex AI), and CI/CD/DevOps practices. Salary range for U.S. candidates: $125,000–$180,000/year.

Responsible for deploying, scaling, and overseeing enterprise AI solutions across GTM systems (Salesforce, Slack, Marketo, CPQ, Snowflake). Requires 10+ years in enterprise technology and 3+ years hands-on designing/deploying LLM-powered solutions. Role includes defining integration patterns (LLM agents, RAG, orchestration), establishing AI deployment standards and governance, collaborating with product, engineering, and security teams, and guiding implementation and operationalization of intelligent workflows.

iFIT is hiring a Junior AI Engineer to design, build, and maintain AI-powered tools, automations, integrations, dashboards, and lightweight applications for the Commercial organization. The role supports Salesforce and other business systems, involves experimenting with LLMs and AI agents, and prefers 1–3 years of experience. Posted pay range: $60,000–$70,000 USD per year.

Lead and grow an AI engineering team (target 6–8 engineers) to design, prototype, and deliver agentic systems, internal copilots, and an internal AI platform (MCP gateway, runtimes, model access, evaluation). Requires hands-on experience with LLMs, agents, LLMOps, observability, cloud-native infrastructure, and prior engineering management experience; role reports to the Sr. Director of AI & Business Technology Engineering and partners with cross-functional leaders.

Drive architecture and delivery of core platform systems (LLM Gateway, AI Hub, agent runtime, knowledge bases), lead multi-quarter initiatives, implement AI FinOps, and build evaluation/observability tooling. Required: 5+ years software engineering experience building ML/AI infrastructure or distributed platform services, deep expertise in LLM orchestration, vector DBs, model serving, and fluency in Python and at least one systems language (Go, Rust, or C++). Remote-first role with quarterly in-person "surges."

Seeking a Senior Scientist to develop LLM-based synthetic data generation (text, code, structured, multimodal) and associated SDKs within the NVIDIA NeMo ecosystem; responsibilities include building scalable data pipelines, automated quality evaluation, contributing open-source code, collaborating with model teams, and publishing research. Requires PhD or equivalent and 3+ years research experience in synthetic data/generative or multimodal ML.

Lead research and engineering to build physics-informed synthetic data pipelines, surrogate models, RL/online learning-based calibration policies, and GPU-accelerated real-time AI systems for fault-tolerant quantum computing. Requires MS (PhD preferred) and 8+ years of experience in quantum systems and ML; role is US-based/remote with specified Santa Clara and Redmond locations.

Hands-on player‑coach role leading execution of the production photogrammetry pipeline (SfM, MVS, depth estimation, mesh reconstruction) and integrating newer 3D approaches (gaussian splats, foundation 3D models). Requires 7+ years in 3D computer vision/3D ML, production experience at scale, proficiency in C++ and modern ML frameworks, cloud/containerization experience, and experience driving AI/agentic development and observability for production systems.

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.

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.

Zip seeks a Group Product Manager, AI to define and drive strategy for AI products (including agent architectures, LLMs, prompt engineering, and evaluation) and deliver measurable business impact across consumer and merchant experiences. Role is remote-first for US-based employees with an option to work from the Manhattan office and requires ~10+ years in product management, including leadership experience.