Join NVIDIA Research Singapore to research and design efficient generative AI and foundation models (LLMs, visual generation, robotics) optimized for NVIDIA GPUs. Responsibilities include publishing original research, collaborating with internal and external teams, mentoring interns, and transferring technology to product groups. Requires a PhD in CS or EE, ~4 years' experience, strong Python prototyping skills; C++ and CUDA and familiarity with PyTorch are a plus.

Remote senior-level Data Scientist position requiring 7+ years of experience to lead complex projects end-to-end, including ML deployment, NLP/LLM development, Bayesian campaign analysis, experiment design, and work with production data pipelines and columnar databases. Role emphasizes privacy-first data practices and occasional travel (~2x/year).

DataCamp is hiring a Principal AI Engineer to design and build the core AI tutoring system that delivers real-time, adaptive learning. Responsibilities include prompt architecture, agentic workflows, rigorous experimentation and evaluation, productionizing model interactions, integrating AI with platform and content systems, and ensuring quality through monitoring, testing, and guardrails. The role requires experience building LLM-based systems (1+ years), strong software engineering skills (Python, cloud, CI/CD), and the ability to translate pedagogical goals into technical solutions. Locations listed: Belgium, Portugal, United Kingdom, United States (also Dubai provided as a location).

Nearform is hiring a Senior Software Engineer (Python & AI) based in Canada for a permanent, full-time role. Responsibilities include designing and building Python applications, data storage solutions, performance optimisation, testing, CI/CD and collaborating with client teams. Candidates typically have at least 8 years commercial experience, deep Python and AI framework knowledge (including agentic frameworks), Git/version control experience, and professional English. The role requires travel to U.S. client sites; visa sponsorship is not available. Salary range advertised: 150,000 - 175,000 CAD plus bonus and benefits.

Calendly seeks a Senior Full Stack Engineer to build production-grade React and TypeScript user interfaces and design backend APIs and services (Node.js, Ruby on Rails or similar) working with PostgreSQL and microservices. Requires 7+ years experience, participation in on-call rotation, experience in 0-to-1 product environments, and authorization to work in the United States. Salary ranges (annual, USD) provided.

Planner 5D seeks an AI/Machine Learning Researcher to conduct applied research on problems related to home design using images, video, text and 3D data (point clouds, meshes). The role involves hypothesis generation, experiments, model training/evaluation, and building prototypes/MVPs for production. Requires 4+ years experience, strong math and CS background, proficiency in Python and ML libraries (NumPy/SciPy/Pandas) and experience with TensorFlow or PyTorch.

Apiphani is hiring a Senior Software Engineer to design and implement backend services and orchestration layers (Python, TypeScript) that integrate LLMs, vector databases, and agentic workflows for a production AI automation platform. Requires 6+ years backend experience, strong AWS knowledge (including Bedrock), familiarity with RAG and vector DBs, and hands-on CI/CD and observability experience. Listed base salary: $120,000—$160,000 USD per year.

Join NVIDIA as a Senior Localization Engineer working on map-enhanced autonomous driving: design and implement robust localization solutions using navigation and crowd-sourced maps, process large real and synthetic datasets, and write safe, high-performance real-time C++ code with CUDA. Role expects experience in computer vision, 3D geometry, mapping/localization and adherence to automotive safety/quality standards (MISRA, ISO26262). Degree-and-experience requirements: PhD+2 years, MS+4 years, or BS+6 years. Posted salary ranges provided by location and level (USD).

NVIDIA is hiring a Senior AI/HPC Engineer on the infrastructure Specialist team to deploy, manage and maintain AI/HPC GPU infrastructure in Linux environments. The role involves customer-facing architecture and implementation, cluster and network optimization (InfiniBand/Ethernet), scheduler and MPI/NCCL expertise, automation (Ansible/Salt/Puppet), Kubernetes, and documentation/knowledge transfer. Requires a related degree or equivalent and 5+ years of deployment/support experience.

Lead design and delivery of ML solutions (Generative AI, RAG, LLM fine-tuning, Graph ML) and high-performance microservices for real-time inference. Requires 5+ years software lifecycle experience, strong Python expertise, experience with Triton/TensorRT, containerization (Docker/Kubernetes), cloud platforms (AWS/Azure/GCP), and prior leadership/mentoring experience.

Join NVIDIA's AI networking acceleration team to develop a highly optimized, low-level inference framework that leverages GPU kernels, RDMA network cards, and hardware offloads. The role requires strong systems knowledge (computer architecture, operating systems, TCP/IP) and extensive experience in modern C++/C/Rust and Linux environments.

NVIDIA seeks a Lead Safety Architect to define and drive safety architecture and requirements for autonomous vehicles, deliver safety concepts and analysis, and improve safety metrics and tooling. Requires MS or equivalent experience, 12+ years in industry, systems and software development experience, and proven leadership of cross-functional efforts. Familiarity with ADAS/autonomous systems, sensor technologies, V&V, and functional safety standards is preferred. Base salary range: 224,000–356,500 USD per year.

Role requires developing system-level requirements and performance budgets for L3/L4 autonomous driving, defining test strategies and metrics, partnering with data, test engineering, and integration teams, and applying SOTIF/functional safety (ISO 21448/ISO 26262) practices. Candidates should have 8+ years in safety-critical systems engineering, strong software development skills (Python, C++, SQL), and experience with large-scale datasets, validation, and architectural trade-offs.

Responsible for designing, building, and operating AI-based features (including LLMs, agent-driven experiences, RAG, and prompt engineering) across frontend and backend stacks. Requires 5+ years of software engineering experience, strong TypeScript/JavaScript and backend skills (Node.js/Go/Java), experience shipping AI/ML integrations in production, and familiarity with observability and telemetry systems.

Work on analyzing deep learning networks and implementing compiler optimization algorithms for AI inference across NVIDIA GPUs. Collaborate with deep learning framework and GPU architecture teams; require 3+ years relevant experience, strong C/C++ and Python skills, and experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton).

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.