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.

Mercari Group offers a Software Engineer internship for candidates eligible to join as new graduates in Oct 2027 or Apr 2028. Internship is based in Japan (remote or Roppongi office), typically 2–3 months with a requirement of 20+ hours/week. Multiple engineering tracks are available (backend, frontend, mobile, ML, platform, SRE, data, security). Visa support, travel/accommodation arrangements are provided for overseas candidates. Application deadline: August 31, 2026.

Udacity (an Accenture company) seeks experienced AI practitioners to mentor and deliver structured live sessions (10–200 participants) on AI fundamentals, GenAI/LLMs, RAG, practical AI use cases, and enterprise adoption. Role requires 3+ years in AI/ML, data science, or applied AI, experience presenting or teaching, and strong English communication. Mentors work independently and set their own schedules.

Work on implementing and optimizing language and multimodal model inference in NVIDIA Inference Microservices and TRT-LLM. Requires 5+ years experience, strong deep learning and inference background, performance profiling/optimization (especially GPU), and proficiency in C++ and PyTorch.

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.

Join Invicti's AI team to design and implement autonomous agent systems and LLM-powered features focused on agentic pentesting and AppSec. Work spans agent architectures, memory/RAG systems, MCP integrations with security and developer tools, prompt chains, and full-stack ownership from design through production. Required: 5+ years shipping production software, strong Python, experience with LLM apps/RAG/agentic AI, distributed systems, API design, and cloud-native architectures.

Join Reddit's AI Engineering team to own post-training and evaluation science for Reddit-native foundational LLMs. Responsibilities include defining the internal "Reddit Benchmark," ensuring statistical rigor and reliability of evaluations, designing model-as-a-judge methodologies, setting SFT/post-training recipes, driving synthetic data strategy, and partnering with Safety Engineering. Requires 6+ years ML experience (or PhD+4), deep expertise in evaluation reliability, and strong engineering fluency in Python, PyTorch, distributed training, and eval-harness tooling.

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.

Nearform seeks a Senior Software Engineer (Python & AI) for a full-time permanent UK-based role. Responsibilities include designing and building Python and AI applications, data storage design, performance optimization, and collaborating with clients and distributed teams. The role requires strong Python and AI framework experience, Git/version control, testing, CI/CD, cloud and database experience, and professional English. Salary starts from £75,000 plus bonus and benefits; visa sponsorship is not available. Travel to client sites in the UK and Europe is required.

Lead technical direction for LLM inference optimization (Kimchi), improving throughput, lowering latency, and maximizing KV cache efficiency across GPU SKUs and distributed topologies. Requires 5+ years building ML systems/inference or training infrastructure, strong Python, hands-on experience with vLLM/SGLang/TensorRT-LLM, quantization fluency, distributed systems knowledge, and a measurement-first approach. Remote-first role available in multiple European countries.

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.

Work on extending TensorRT with autoregressive model serving features (speculative decoding, LoRA, MoE, KV cache), implement compiler and runtime optimizations for transformer models, develop CUDA kernels and operators, and profile/optimize inference across embedded and automotive environments. Requires 4+ years' software development experience and strong C++, transformer, and CUDA expertise.

Lead development of LLM observability features at Datadog, designing and scaling systems for tracing, model evaluation, drift detection, and debugging inference pipelines. Role expects strong experience with distributed systems and scalable backend architectures, hands-on experience building LLM/GenAI applications, and familiarity with observability tools.

DataCamp seeks a Principal AI Engineer to develop the core AI tutoring system that provides real-time, adaptive learning. Responsibilities include prompt architecture and agentic workflow design, rigorous experimentation and custom evaluation metrics, integrating AI with platform and content pipelines, productionizing model interactions, and ensuring quality, safety, and observability. Requires 1+ years building LLM-based systems, strong Python and software engineering fundamentals, and experience with cloud/production infrastructure and CI/CD.

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).

Role involves building high-performance compiler and runtime components to map large-scale neural network inference workloads to NVIDIA platforms. Requires hands-on experience with compiler/runtime development (LLVM/MLIR), systems-level programming (C++/Rust), deep learning frameworks (TensorFlow/PyTorch/ONNX), and performance profiling/optimization. Minimum 5 years relevant experience and MS/PhD or equivalent experience.

Work on high-performance runtime and compiler components for NVIDIA's LPX inference stack: map large-scale inference workloads to hardware, extend integrations with the software ecosystem, and benchmark/profile to drive performance. Requires MS/PhD or equivalent with 5+ years' relevant experience, strong systems programming (C++ and/or Rust), compiler/runtime experience (IR, optimization passes, codegen), familiarity with LLVM/MLIR, and experience with TensorFlow/PyTorch and ONNX.

Design, build, and maintain AI infrastructure software and tools for large-scale pre-training, post-training, and inference. Responsibilities include improving efficiency and resiliency, co-designing APIs with resiliency stacks, defining reliability metrics, and performing root-cause analysis from application to hardware. Requires 8+ years experience, proficiency in Python and C/C++, experience with observability platforms (ELK, Prometheus, Loki), distributed systems, AI training/inference infrastructure and strong debugging skills.

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.

Work on design and training of generative, imitation, and reinforcement learning models to improve planning and reasoning for autonomous driving; build, pre-train, and fine-tune LLM/VLM/VLA systems for real-world deployment; explore data generation strategies; collaborate to deploy production-grade, safety-critical ML integrated with vehicle firmware. Requires strong Python and C++ skills, experience with deep learning frameworks, and demonstrated deployment of ML at scale. Education/experience: PhD +4 years or MS (or equivalent) +6 years in a related technical field.