NVIDIA seeks a Senior AI Security Researcher with 12+ years' experience to develop methods, tools, evaluations, and prototypes that reveal and mitigate failures in frontier AI models, agentic systems, and AI-enabled products. The role requires hands-on implementation in Python and modern ML tooling, collaboration with engineering and security teams, and translating research into practical mitigations and benchmarks.

Work on the open-source Triton compiler to design and implement compiler technology (using MLIR and Triton's Python DSL), optimize high-level kernels to efficient low-level GPU code, and hand-tune critical paths (inline PTX). Collaborate with hardware architects and the CUDA compiler team; experience tuning BLAS/deep-learning kernels, numerics/linear algebra, and ML compilers (TVM/MLIR) is a plus. Base salary range: 184,000 USD - 287,500 USD per year.

Lead the identification, prioritization and delivery of AI-forward technologies for network partners and the global organization, including classroom data tools, learning platforms and constituent feedback systems. Manage a small team (two solutions engineers and a UI/UX specialist), build a community of technology enthusiasts across the network, gather requirements, define success metrics, and coordinate implementation with internal teams and external partners. Role is 100% remote, three-year fixed-term, requires valid local work authorization, and requests application materials in English.

Capital One seeks a Sr Lead Software Engineer (Full Stack, AI) to develop AI-driven shopping solutions. Requires a bachelor’s degree and at least 6 years of software engineering experience, hands-on with languages and tools such as JavaScript, TypeScript, Python, Go, SQL, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Position is remote-eligible and Capital One may sponsor employment authorization.

NVIDIA seeks a Senior DL Algorithms Engineer to enable and optimize open LLM/Omni models (e.g., Nemotron, Cosmos) on NVIDIA's accelerated inference software stack. Responsibilities include contributing to open-source frameworks (TRT-LLM, vLLM, SGLang, FlashInfer), profiling and removing bottlenecks across the inference stack, benchmarking, and co-designing with partner teams. Requires 3+ years' experience, strong deep learning and inference background, GPU performance optimization, PyTorch or equivalent, and understanding of computer/GPU architecture.

Lead model development and MLOps for GenAI Security at Reddit: define problems, assemble and label datasets, build ETL and training pipelines, train and evaluate deep learning models (transformers, embeddings, sequence models), deploy and monitor production models, and partner with cross-functional teams. Requires 5+ years of production ML/deep learning experience and hands-on use of frameworks such as PyTorch or TensorFlow.

Role focuses on research, implementation, and validation of model and algorithm improvements for human-centric video generation and world models. Responsibilities include prototyping spatial multimodal and neural-rendering approaches, improving training and inference efficiency, defining training objectives for sim-to-real/real-to-sim generalization, building domain-specific benchmarks, and translating research into production-grade checkpoints and integrations. Requires PhD or equivalent, 8+ years applied research/industry experience, 3+ years designing/training generative models, and advanced proficiency in Python, PyTorch, C++, and CUDA.

Join GitHub's Copilot Agents organization to design, implement, and operate Blackbird—the platform's lexical and semantic code search engine. Responsibilities include building scalable, high-performance code search, integrating AI/ML features and agents, driving technical roadmap, participating in on-call rotations, and mentoring other engineers. Required experience ranges (minimum explicitly stated in posting is 3+ years in certain qualification paths); preferred experience includes web-scale search, systems programming (Rust), and AI/ML integration.

Work at the intersection of technical support, workflow automation, and applied AI to design and implement agentic AI systems, ticket triage, routing, knowledge retrieval, case summarization, and operational insights. Requires at least 3 years of relevant software, automation, or applied AI experience, strong Python and API skills, and experience building production internal tools; role is remote-first and lists a salary range of 125,000–170,000 USD per year.

Senior product-focused AI engineering role responsible for designing, developing, and operating AI-powered features that integrate and orchestrate multiple LLMs. Requires 5+ years of backend/full-stack experience, strong expertise with LLMs and AI model integration, production observability, Postgres/MySQL, Elasticsearch, and knowledge of AI privacy/security/compliance. Role is listed as remote for the United States; visa sponsorship for engineering/product roles is case-dependent per the posting.

Build and operate scalable AI platform services for deployment, orchestration, serving, and lifecycle management of LLMs; integrate multiple LLM providers; develop backend APIs and infrastructure for monitoring, logging, and automated evaluation; apply LLMs to product features; and drive best practices for AI privacy, security, compliance, scalability, and cost efficiency. Role requires deep experience in backend engineering, distributed systems, cloud-native technologies, MLOps, and applied LLM work.

Build and maintain a backend AI platform to create, orchestrate, and evaluate multi-agent systems. Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Cohere), use orchestration frameworks like LangGraph, develop evaluation frameworks, address AI privacy and data protection, and integrate search capabilities while collaborating with cross-functional teams.

ClickUp seeks a Senior AI Engineer to lead development of user-facing AI features, integrating and orchestrating multiple LLMs, ensuring production reliability, scalability, observability, and addressing AI privacy/security/compliance. Requires 5+ years' backend and/or full-stack engineering experience, strong experience with LLMs, Python/JavaScript/TypeScript, Postgres/MySQL, Elasticsearch, and mentoring/cross-functional collaboration.

Seeking a Senior AI Engineer to design and implement scalable AI platform services (model serving, orchestration, lifecycle management), integrate multiple LLM providers, build backend APIs, and apply LLMs to deliver user-facing features. Requires experience with cloud-native technologies (Kubernetes, Docker, AWS/GCP/Azure), MLOps, distributed systems, programming in Python/Go/TypeScript, and addressing AI privacy and security.

Join the AI Platform team to design, develop, and maintain a backend platform that enables users to create and manage intelligent agents and their interactions. Work includes integrating multiple LLMs (e.g., OpenAI, Anthropic, Cohere), using orchestration frameworks like LangGraph, building evaluation frameworks, addressing AI privacy and data protection scenarios, and integrating search capabilities. The role emphasizes scalability, multi-agent coordination, and collaboration with cross-functional teams.

Join Arize AI as a DevSecOps Engineer to design guardrails for agentic AI, secure TypeScript/Node.js codebases, integrate SAST/DAST/SCA/secret and IaC scanning into CI workflows, threat-model LLM and agent features, and lead incident response. Requires 4+ years in DevSecOps/application/platform security and practical experience with TypeScript, cloud infrastructure, containers, Kubernetes, and CI/IaC tooling.

Senior technical leader within the Enterprise Data Warehouse (EDW) responsible for architecture, platform modernization, and hands-on backend data engineering. Preferred experience includes BigQuery, advanced SQL, Python, semantic layers (AtScale preferred), CI/CD and orchestration (Jenkins, Airflow), performance tuning, and enterprise data modeling. Minimum 3 years' experience. Pay range listed for certain residents: $120,000–$190,000 (USD/year).

Sonatype seeks a Staff Software Engineer to own architecture and delivery of agentic-first subsystems in Nexus Repository Manager. The role emphasizes designing and running long-running multi-agent workflows, shaping agentic engineering practices, ensuring performance, reliability, and supply-chain security (SBOM, SCA, provenance, signing, vulnerability analysis), and mentoring senior engineers. Requires 7+ years of professional software development experience and strong experience with Java, cloud platforms (AWS/Azure/GCP), and large-scale distributed systems.

G2i is hiring a Staff/Principal-level engineer to evaluate the quality of interactions with coding agents (e.g., OpenAI Codex, Claude Code, Cursor). This is a contract, part-time role (~10–20 hours/week) paying $100–$200 per hour, focused on judging usefulness, high-level correctness, engineering judgment, and quality of explanations rather than writing production code. Start is ASAP with duration through early May and a take-home evaluation plus interview process.

Lead Granicus' internal AI transformation: build and scale a centralized, secure AI platform (LLMs, retrieval, agents, orchestration), establish governance/security/observability, integrate with enterprise systems, drive adoption with embedded consulting teams, and measure operational impact. Requires 10+ years software engineering experience and experience leading engineering or platform teams.