Lead architecture and governance for an enterprise AI platform including LLM gateways, model registry, sandbox provisioning, security automation, and MLOps/AgentOps. Architect agentic systems (LangChain/LangGraph/MCP), RAG and vector search, and implement AWS-native solutions (Bedrock, SageMaker, EKS, Lambda, etc.) while defining integrations with Salesforce and establishing security and compliance guardrails.

Technical lead for DRIVE Road Structure, Online Mapping, and Context Fusion, owning design and development of systems that integrate perception and mapping across diverse driving environments. Role requires driving real-time 3D model architecture, advancing mapless driving (BEV), improving scenario understanding (occupancy grids, occlusion reasoning), and collaborating with perception, planning, and platform teams.

Work as a hands-on technical leader building and shipping AI solutions that improve organizational flow and measurable business outcomes. Responsibilities include diagnosing business problems, designing and implementing integrations and AI systems (LLMs, RAG, agents), applying guardrails and evaluation frameworks, and partnering with stakeholders to track adoption and ROI. Role emphasizes systems thinking, production-quality engineering (Python/JS, APIs, CI/CD), and practical prompt/ML engineering.

NVIDIA internship for PhD students focusing on generative models, synthetic data creation, user simulation calibrated to real behaviors, reward modeling, and data-quality estimation for LLM pre-/post-training. Requires strong research background, Python and PyTorch experience, familiarity with HuggingFace/vLLM and distributed LLM training, and publications at top-tier venues. Hourly intern pay listed as $30–$94 USD.

NerdWallet is hiring a Security Software Engineer focused on AI and automation to design and implement AI-driven security tooling (RAG, LLM multi-agent systems, semantic search), automated code review, integrations (GitHub, Slack, Jira, Confluence), and secure backend services. Requires 3+ years of software or security engineering experience and strong proficiency with Python or Go, application security concepts, cloud and distributed systems (AWS, containers/Kubernetes/ECS), and experience building AI-powered systems while addressing AI-specific security risks.

The Senior AI Engineer will lead implementation of complex systems, influence architecture and modernization, mentor team members, and ensure operational reliability. Required skills include C#, .NET/.NET Core, React.js, TypeScript/JavaScript, SQL, APIs, cloud-native development, AI development tools, distributed systems, and CI/CD. Minimum 5 years of software engineering experience.

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.

NVIDIA seeks a Senior Applied Deep Learning Scientist to advance the Nemotron multimodal models. Responsibilities include pre- and post-training work across text, image, audio, and video, building large-scale data pipelines, multi-GPU training, and collaborating globally to deploy models into production. Requires M.Sc./Ph.D. or equivalent and 10+ years industry experience in computer vision and related areas, strong PyTorch/Python skills, Docker and Linux experience.

Responsible for designing, building, and optimizing real-time speech-to-text pipelines (streaming ASR, VAD, audio processing), improving transcription via context injection, developing LLM-powered post-processing, and creating voice-to-action systems that map natural language to structured workspace commands. Role includes evaluating and integrating ASR models (e.g., Whisper, AssemblyAI, Fireworks), optimizing for cost and latency, and exploring multimodal (screen+voice+text) assistant experiences across desktop, mobile, web, and browser extensions.

CrowdStrike seeks an Applied AI Developer (remote, USA) to build and maintain infrastructure and applications for a multi-agent AI ecosystem supporting HR workflows. Responsibilities include designing AI-powered browser and conversational interfaces, integrating LLM APIs, building shared infrastructure (AWS EC2, Airflow, CI/CD, Snowflake), collaborating with stakeholders and data scientists, and operating in an AI-assisted development environment. The role requests 5–7 years' relevant technical experience and proficiency in Python.

Seeking a Master's or PhD student to prototype agentic AI pipelines for quantum EDA, accelerate quantum calibration primitives, combine electromagnetic and quantum simulations to build device Hamiltonians, and curate data for digital twin and NVIDIA Ising workflows. Requires proficiency in Python and solid quantum computing fundamentals; exposure to electromagnetic simulation tools (e.g., Ansys HFSS) and experience with GPU-accelerated quantum software is a plus.

Fleetio is hiring a Senior Software Engineer for the Actionable Intelligence team to design, build, and iterate on AI-powered product experiences across Rails and React. The role requires 5+ years of Ruby on Rails and 5+ years of React/TypeScript experience, and involves front-end development (Vite, Storybook, Tailwind), backend Rails APIs, AI integrations (LLM APIs, prompts, evaluations), observability, and collaboration with Product, Design, Data, and Customer Success.

The Home Depot is hiring a Senior Data Scientist for pricing who will design and develop optimization and deep learning solutions to drive profitability and customer experience. Responsibilities include building algorithms and models on large datasets, leading data science projects, mentoring junior staff, collaborating with business partners, and presenting recommendations to leadership. Remote virtual employment available in many U.S. states. Minimum 5 years' experience; preferred 6+ years in business intelligence/analytics and familiarity with linear optimization tools (Gurobi), Python, SQL, forecasting, and predictive modeling. Travel typically <10%.

Design and build performance analysis tools and workflows for AI training and inference; integrate profiling infrastructure with AI frameworks; collaborate with performance engineers, hardware architects, and software teams; identify and automate detection/diagnosis of performance bottlenecks. Requires M.S./PhD or equivalent, 6+ years relevant experience, strong software development skills (Python, C++), and deep knowledge of AI workloads and frameworks. Base salary range listed (USD).

Role focused on offensive AI security: designing and executing red team assessments, innovating AI attack techniques, building scalable security tooling and automated evaluation pipelines, and partnering across AI Research, Engineering, Ethics, and Cybersecurity. Requires extensive hands-on experience securing AI/ML systems (including LLM vulnerabilities) and strong Python proficiency.

NVIDIA seeks a senior deep learning/CUDA engineer to design and implement CUDA features, runtime abstractions and tooling for scaling AI and HPC workloads across multi-GPU and multi-node systems. Requires 8+ years' experience, strong C++/Python/CUDA skills, familiarity with PyTorch/JAX/inference engines, performance benchmarking and distributed communication libraries (NCCL, MPI, UCX).

Role to research, prototype, and optimize deep learning systems at the intersection of high-level frameworks and low-level CUDA, including custom kernel development, distributed cluster-scale design, and profiling. Requires a BS/MS/PhD (or equivalent), 8+ years relevant experience, and proven skills in C++, Python, CUDA, kernel optimization, distributed computing, and deep learning (transformers). Base salary ranges provided (USD, annual).

CrowdStrike is hiring a Senior Automation / Cloud Software Engineer for the Falcon Complete AI Engineering Team. The role focuses on designing, building, and deploying distributed, fault-tolerant cloud ecosystems and AI-powered automation services (LLMs, prompt engineering, agentic frameworks). Responsibilities include backend microservices, data pipelines, CI/CD and GitOps for Kubernetes, and collaboration with SOC analysts. Base salary range for U.S. candidates: $140,000–$215,000 per year.

Applied agent engineering role focused on building tool-using AI systems (agents) into existing workflows. Responsibilities include designing and implementing agent infrastructure (MCP servers, stateful sub-agents, skills), integrating with systems like Slack, Jira, Salesforce, Okta, Workday, Google Workspace and AWS, setting safety and access standards, instrumentation, and collaborating with HR, Sales, Customer Success, and other functions. Requires 7+ years of engineering experience and experience shipping production systems at scale.

Udacity (an Accenture company) seeks external contractors to serve as technical mentors for Agentic AI content. Responsibilities include 1:1 video support, technical deep-dive sessions, and group Q&A. Requires 5+ years technical experience and hands-on knowledge of LLMs, prompt engineering, agent design (tooling, APIs, memory/state), RAG, multi-agent systems, and agent evaluation.