Join NVIDIA's Architecture Modeling group to model GPU architectures and baseboard components, develop and validate functional and performance simulation models, and build testing infrastructure. Requires 5+ years' experience, strong C/C++ and scripting skills (Python/Perl), familiarity with SystemC/TLM, and experience with ML frameworks such as PyTorch and TensorFlow.

Role responsible for improving ML training and inference efficiency across GPU clusters by debugging and optimizing software and infrastructure, building tools and frameworks to detect bottlenecks, collaborating with researchers across domains (LLMs, robotics, autonomous vehicles, video), and working with technologies such as CUDA, NCCL, Nsight, distributed training, cloud platforms, and fast distributed storage.

Udacity (an Accenture company) seeks an independent-contractor AI Mentor to guide managers and executives through business-focused AI coursework and projects. The role requires 5+ years in AI/ML/Data Science or AI product roles, direct production deployment experience, familiarity with generative AI (LLMs, RAG), agentic systems, model evaluation, and working with business stakeholders. Mentors provide practical, applied guidance, facilitate group sessions, and adapt explanations to varied technical fluency.

Work on the core AI tutor: design prompt architectures and agentic workflows, run rigorous experimentation with custom evaluation metrics, integrate AI into platform and content pipelines, prototype and productionize model interactions, and ensure safety, observability, and quality. Requires production software engineering (Python), experience building LLM-based systems (1+ years), and collaboration with educators and product teams.

Join Invicti's AI team to design and build agentic AppSec solutions, including multi-agent systems, RAG and memory pipelines, MCP integrations, and prompt engineering. Requires 5+ years of production software development, strong Python skills, experience with LLM-powered apps/RAG/agentic AI, and knowledge of distributed systems, API design, and cloud-native architectures. Role involves cross-team collaboration, productization, and ownership from design to production.

Work as a senior fullstack engineer on Arize's AI observability platform, writing maintainable, scalable code primarily in TypeScript and React with opportunities in Python and Go. Responsibilities include API and domain model design, building reusable React components, researching and implementing visualization and dimensionality reduction algorithms in distributed environments, collaborating with product/design/customers, and contributing to architecture, code reviews, and documentation. Requires 5+ years frontend experience. Salary range listed: $125,000–$225,000/year.

Role on the Backend Engineering team to design, build, and maintain scalable analytics and backend services for an ML/LLM observability platform. Responsibilities include developing APIs, working with OLAP and distributed systems, integrating collection and monitoring tools, and contributing to open-source components. Requires 5+ years of backend experience and strong proficiency in languages such as Go, Python, Java, or TypeScript.

NVIDIA is hiring a Senior AI Systems Engineer to create and integrate AI agents and machine-learning models (e.g., RL, LLM-based agents) to improve efficiency and quality of VLSI design flows. Requires 6+ years building AI-driven software systems, strong Python skills, and experience with ML frameworks (PyTorch, TensorFlow).

Design and evaluate GPU and system architectures to improve AI inference performance and efficiency. Build power and performance models of the AI inference stack, implement and test deep learning algorithms, and collaborate across software, research, and product teams. Requires MS or PhD (or equivalent), 5+ years relevant experience, strong math foundation in ML/DL, expert programming in C/C++/Python, and familiarity with GPU computing (CUDA) and HPC (MPI/OpenMP).

Replit is hiring a New Grad Software Engineer (2027) to build full-stack product features, AI-powered coding agents, and cloud infrastructure supporting real-time collaboration at scale. Requires a CS-related degree (2027), strong programming skills (JavaScript/TypeScript, Python, Go, or Rust), experience with React and Node.js, and willingness to work hybrid from the Foster City, CA office (in-office Monday, Wednesday, Friday).

Nearform seeks a Senior Forward Deployed Engineer based in the United States to design, build, and deploy scalable agentic platforms and LLM-powered agents that integrate with enterprise systems. The role focuses on Python-based development, LLM orchestration (e.g., LangGraph, CrewAI, AutoGen), multi-agent systems, RAG pipelines, and Kubernetes-based deployments, and involves travel to U.S. client sites. Candidates must be authorized to work in the U.S. without sponsorship.

Nearform is hiring a Senior Software Engineer to design and build Python applications and AI-enabled solutions. Role requires ~8+ years' commercial experience, deep Python and AI/LLM knowledge, experience with Kubernetes, cloud, databases, CI/CD, testing, Git, and agile delivery. Position is full-time, permanent, based in the United States (authorized to work without sponsorship), involves travel to U.S. client sites, and offers a salary range of $150,000–$180,000 plus bonus and benefits.

Lead architecture and implementation of Agentic AI systems and a reusable primitives and orchestration platform to automate high-volume customer support and compliance processes. Drive technical strategy for moving LLM-based applications to production (grounding, hallucination reduction, reliability), partner with product/compliance/operations, and mentor senior engineers. Remote-first role based in the USA; quarterly in-person working sessions expected. Salary range (base): $253,895 — $298,700 USD per year.

Work on integrating and optimizing communication libraries (NCCL, NVSHMEM, GPUDirect) into AI frameworks (PyTorch, JAX, TRT-LLM, vLLM, SGLang). Responsibilities include workload analysis, performance benchmarking on multi-GPU clusters, compiler and kernel work, and designing fault-tolerant, elastic solutions for large-scale AI workloads.

Lead hands-on design and prototyping of AI Agent applications (data flow, orchestration, prompts) and work with engineering, UX, and application PMs to deliver production solutions that accelerate clinical trials, regulatory submissions, or pharmacovigilance. Requires 5+ years in enterprise software product management/engineering/consulting with at least 2 years focused on AI/ML, plus Python and experience with AI frameworks, model integration, and prompt engineering.

Ramp's Applied AI team seeks a full-stack engineer to ship end-to-end AI projects and build infrastructure for production LLM inference and fine-tuning. Work includes AI Agents, RAG, structured extraction (jsonformer), internal tools for customer-facing teams, and scaling AI solutions across the platform.

Researches and develops techniques to accelerate deep learning, machine learning, and AI workloads on modern CPU and GPU architectures. Works with developers and researchers to analyze and optimize complex algorithms, publish findings, and influence hardware and software design. Requires a Masters (or equivalent) and 8+ years of relevant experience with C/C++, CUDA and parallel programming frameworks.

NVIDIA seeks a Senior Math Libraries Engineer to scope, design, and implement GPU-accelerated numerical dense linear algebra software (kernel generation, JIT, fusions). Requires 8+ years' experience, strong C++ and HPC skills, and experience with GPU/parallel programming (CUDA, MPI, OpenMP, etc.). Role is based in the US with hybrid/remote options; stated base salary ranges from $184,000–$287,500 (Level 4) and $224,000–$356,500 (Level 5).

Responsible for designing and implementing new communication technologies, building proofs‑of‑concept, conducting experiments, and using simulation and quantitative modeling to evaluate performance at large GPU cluster scales. Requires expertise in C/C++, parallel programming models and communication runtimes, Linux, system and network architecture, and experience with GPUs, high‑performance networks, and deep learning/HPC workloads.

Lead design and implementation of the MCP Gateway and related services, collaborate with Product/Design/Security, mentor engineers, and participate in on-call rotation. Requires 10+ years of backend engineering experience building production-grade distributed systems, strong cloud and security expertise, and fluency in Go or other modern systems languages.