Senior Solutions Architect in GitLab’s Solutions Architecture Center of Excellence acting as an AI subject matter expert. Responsibilities include AI-focused solution strategy, technical pre-sales (POV/POC), architecture design, workshops, integration guidance, influencing product direction with field feedback, and acting as the technical lead for strategic accounts. Candidates must be based in and have full-working rights in either Australia or Singapore.

Design, develop, and deploy ML and AI-powered features (including LLM-based/GenAI workflows) into production. Responsibilities include model development (classification, ranking, NLP, anomaly detection), feature engineering, data pipelines, model evaluation/monitoring, and collaborating with engineers and product teams. Candidates must be located in the DC/Maryland/Virginia (DMV) area and authorized to work in the United States.

Lead and scale the team building Help Center, social support, and agent knowledge experiences; set technical strategy for AI-assisted self-service, retrieval, generation, conversational and agentic resolution, routing and human handoff. Define architecture across search, knowledge retrieval, chat orchestration, CRM/ticketing integrations; establish evaluation, quality/safety/privacy safeguards, SLAs/SLOs, monitoring and incident response. Partner with Product, Design, CX Ops, Data, Compliance/Legal/Privacy/Security; hire and coach engineers. Requires production experience with LLM-powered systems (RAG, agentic workflows), distributed systems at scale, and experience with Kubernetes/Terraform/CI and data/messaging stacks. Base annual salary listed as ₹9,424,500 INR.

Lead and grow a team building kernels, runtime optimizations, and frameworks for LLM/VLM/VLA inference on NVIDIA GPUs and edge/enterprise platforms. Requires MS/PhD or equivalent, 7+ years software engineering experience including 3+ years of technical leadership, strong C++/Python skills, and experience with LLM inference and GPU/CUDA performance tuning. Posted base salary range: USD 184,000–356,500 (varies by level and location).

Owner of end-to-end AI compliance solutions: design and deploy agentic workflows (n8n, Claude API, Python, MCP), automate compliance use cases (alert prescreening, narrative generation, EDD, regulatory summarization), ensure auditability and regulatory compliance (GDPR, AML retention, sanctions), and transfer capability to Compliance teams. Requires 8+ years in compliance or RegTech with hands-on experience integrating systems via APIs and deploying production AI/automation solutions.

Twilio is hiring a Machine Learning Engineer to collaborate cross-functionally to translate product requirements into production ML services (streaming anomaly detection, recommendation systems, predictive models, LLM/agentic frameworks). The role requires 5+ years building, deploying, and operating ML/data systems, proficiency in Python, Java, SQL, experience with orchestration (Airflow/Kubeflow), cloud platforms and MLOps tooling, and responsibilities include monitoring, on-call incident response, and driving engineering and operational excellence.

Work on GPU IO and data storage features, developing advanced C++/CUDA libraries and optimizations across the IO stack, frameworks, and applications. Requires strong experience (7+ years) in C/C++/Rust/Python, Linux kernel internals, filesystems/object storage/databases, NVMe, cloud/virtualization/container technologies, and relevant computer architecture and algorithms background. BS/MS/PhD in CS or equivalent experience; salary range provided.

The Home Depot seeks a Manager, AI Platform Engineering to lead a team building and operating an enterprise Generative AI platform, focusing on multi-model orchestration, AI agents, secure production deployments, and cross-functional collaboration. Requires software engineering experience (minimum 5 years), strong knowledge of Java/OOP, CI/CD, containerization (Docker/Kubernetes), cloud platforms (Azure/GCP), and familiarity with security, privacy, and responsible AI practices. Role includes people leadership, delivery execution, support, and occasional travel (5–20%).

Technical lead responsible for architecting, building, and operating Kubernetes-native distributed inference hosting (prefill/decode disaggregation, KV-cache-aware routing, tiered caching, MoE support). Requires experience with LLM inference frameworks (vLLM, llm-d, Ray Serve, NVIDIA Dynamo), Go or Python, gRPC, observability and SLOs, performance optimization, and contributing to open-source inference projects.

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.

Join the AI team to perform applied research on problems related to home design and visual understanding. Work with raw and unstructured data (images, video, 3D point clouds, meshes, text), design and run experiments, train and evaluate ML/DL models, and implement prototypes/MVPs for production. Requires 4+ years in AI/ML research or applied machine learning and proficiency in Python and deep learning frameworks (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 to design and implement robust map-based localization solutions for autonomous driving, working with large real and synthetic datasets. The role requires strong C++ and CUDA skills, experience in computer vision/3D geometry, and familiarity with automotive quality and safety standards such as ISO26262 and MISRA.

Work on designing and optimizing kernels, extensible abstractions for LLM serving engines, JIT domain-specific compilers, and inference runtimes for NVIDIA hardware. Qualifications include a Master's (PhD preferred) or equivalent experience, 6+ years in ML/DL systems development, experience with frameworks such as PyTorch/JAX/TensorFlow/ONNX, and expertise in GPU kernel development and compilers. Base salary range listed as 184,000 USD - 287,500 USD per year.

Join NVIDIA to develop AI inference systems, including kernel implementations, code generators, and runtimes to accelerate LLMs and other AI workloads. Requires a Master's (or equivalent) preferred PhD, 6+ years of ML/DL systems development experience, and strong experience with Python, C/C++, CUDA, deep learning frameworks, and GPU kernel performance optimization. Base salary range: 184,000 USD - 287,500 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.

Work on GitLab Verify to improve performance, reliability, and usability for high-volume CI jobs; design and implement AI-powered agents and LLM-backed tooling integrated with the Duo Agent Platform; build instrumentation and observability; optimize database and job orchestration; and write secure, well-tested Ruby on Rails code while leading cross-functional technical work.

Own ML-driven product features end-to-end: identify opportunities, model, deploy, run experiments, and measure impact. Design and build scalable ML systems including data pipelines, training workflows, and production model serving; shape MLOps practices and explore generative AI/LLM use cases. Provide technical leadership and mentorship across the team.

Lead technical strategy and deep engagements for AI Factory networking at strategic customers, acting as principal-level authority for products such as BlueField and ConnectX and technologies including DOCA, RDMA, RoCE, and InfiniBand. Requires 15+ years of industry experience, strong low-level software skills in C/C++, system-level debugging, high-performance networking, and expertise in performance tuning, reliability, and production hardening.

Nearform is hiring a Senior Software Engineer focused on Python and AI to design and build AI-enabled applications. This is a full-time permanent role based in Ireland (visa sponsorship not available). The role involves working with clients across the UK and Europe (travel required and expenses covered). Salary starts from €75,000 plus bonus and benefits. Required skills include deep Python and AI framework experience, version control (Git), testing (unit/integration/e2e), databases, cloud environments, CI/CD and working in agile teams.