Role requires working with EDA/CAD developers and semiconductor customers to accelerate EDA and manufacturing workflows using NVIDIA GPUs and software (e.g., cuLitho, CUDA). Requires 4+ years in semiconductor design/EDA/manufacturing or AI/ML applied to these domains, experience with Python/C/C++, AI frameworks (PyTorch/TensorFlow), and familiarity with HPC, containers, and distributed GPU systems. Master's/PhD or equivalent experience preferred.

Docker seeks a Staff Software Engineer for the Cloud Sandboxes team to build scalable, reliable, and secure infrastructure powering agentic cloud workloads. The role focuses on microVM orchestration, workload scheduling, control plane and API development, observability, CI/CD, and operating multi-tenant distributed systems; it requires 10+ years of backend/cloud engineering experience and strong proficiency in Go and/or Java.

Hands-on senior engineer responsible for architecting and owning core capabilities of ActiveCampaign's internal AI agent platform: deployment patterns, shared services, integrations, observability, and reliability. Works cross-functionally to move agent solutions to production and defines technical patterns and standards. Requires 5+ years of relevant engineering experience and practical experience with AI-powered applications or LLM workflows.

Design and ship customer-facing AI experiences end-to-end (React UI through APIs and data contracts). Build BI-quality, data-dense interfaces for agentic analysis, FP&A, and month-end close; own complex client-side state and rendering; partner on API and backend design; use AI coding models and agentic development workflows.

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.

Lead technical design and deployment of AI/ML solutions for NVIDIA GeForce NOW, including real-time diagnostics, LLM chatbot, forecasting, constraint-optimized capacity allocation, anomaly detection, retention modeling and large-scale production analytics. Requires extensive software and data science experience and hands-on experience with tools such as Python, Spark, Databricks, MLflow, Kubernetes and related MLOps technologies.

Coinbase is hiring an IC4 Machine Learning Engineer (remote - India) to build and improve an orchestration layer coordinating vendor and internal LLMs and human participants. The role requires 2+ years of professional ML/software engineering experience, strong Python skills, hands-on experience with LLMs/deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. Responsibilities include designing and shipping production-grade ML services, system design, and ensuring security and compliance.

Lead and implement vector search features and enhancements in Elasticsearch (including work related to Lucene and vector similarity algorithms such as HNSW and IVF). Contribute code, fix bugs, design algorithms and data structures, collaborate with a globally distributed engineering team and the open-source community. Role is Java-heavy and focused on search relevance and performance. Reported typical starting salary range: €80,400–€127,200 EUR per year.

You will author merged PRs and build integrations (libraries, agent frameworks, MCP servers, automation platform connectors) so developers and AI agents can access SearchApi. Required: proven merged open-source contributions in repos you don't own, fluency with Ruby/Python/TypeScript and at least one agent/automation framework, and strong written English for docs and PRs.

Role focuses on building and productionising GenAI solutions that leverage LLMs (e.g., GPT series), prompt engineering and prompt chains, model and prompt evaluation, retrieval-augmented generation architectures (vector DBs, embeddings, document chunking), data extraction (e.g., PDFs), and continuous performance monitoring. Requires applying software engineering best practices including CI/CD, testing, ETL/data pipelines, load testing and MLOps to ensure reliability in production.

Own end-to-end development of multi-agent AI systems, integrations between LLMs and business systems (BigQuery, CRMs, Slack, email), and scalable serverless/containerized backend services on GCP. Define automation platform architecture, implement observability and governance, partner with RevOps/Marketing/SDR teams to deliver self-service workflows, and drive production reliability and cost/latency mitigations. Requires deep backend and LLM-in-production experience.

Grafana Labs seeks a Staff Engineer (AI & Automation) to own AI agent infrastructure and an automation platform for Marketing Operations. Responsibilities include designing and operating multi-agent architectures, integrating LLMs with internal and third-party systems (BigQuery, CRMs, Slack), building serverless/containerized services on GCP, and establishing observability, governance, and self-service workflows. Requires 8+ years software engineering experience and 2+ years applying LLMs in production. Base compensation range in Canada: CAD 164,490–197,389.

Twilio seeks a Machine Learning Engineer to design, implement, and operate end-to-end ML solutions for Conversation Intelligence. The role involves building data pipelines, training and validating models, deploying inference services at scale, instrumenting telemetry, and participating in on-call rotations. Required: 2+ years relevant experience, proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX), and familiarity with NLP libraries and cloud infrastructure.

The Senior AI Security Engineer secures LLM-enabled applications, RAG systems, inference pipelines, and agentic workflows by performing threat modeling, security reviews, vulnerability analysis, and AI-focused red team testing. The role builds security automation and evaluation harnesses, drives mitigations with engineering teams, and serves as an AI security incident SME. Requires 5+ years relevant experience and proficiency with Python, modern AI stacks, and at least one major cloud platform.

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.

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 technical lead responsible for designing and delivering agentic AI solutions across GTM systems (Salesforce, Slack, third-party apps). Key responsibilities include building LLM-powered workflows, autonomous/multi-agent systems, RAG/semantic search pipelines, vector retrieval, Salesforce integrations (Apex, LWC, Platform Events, Agentforce), CI/CD and observability, and enforcing security-first AI engineering practices. Requires production experience with Agentic AI frameworks (e.g., Langchain, LangGraph, Semantic Kernel), cloud AI platforms (AWS Bedrock, Vertex AI), vector DBs, and 8+ years of software engineering with 3+ years in a lead/principal role.

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.