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Build and scale large vision-language foundation models for autonomous driving, using multimodal pre-training and reinforcement learning to improve scene understanding and autolabeling.
Summer 2027 internship in San Francisco for MS/PhD students to work as machine learning engineers at Waymo: fine-tuning large multi-task transformers over driving-log sequences in JAX/Flax on TPUs, building evaluation pipelines, and shipping production code. Hybrid onsite with pay of $70/hr (MS) to $85/hr (PhD).
Builds and operates the large-scale GPU compute and data infrastructure behind Gatik's autonomous trucking stack: Kubernetes clusters optimized for GPU workloads, distributed training support (Ray, PyTorch), sensor-data pipelines, MLOps/model serving, and observability. Onsite 5 days a week in Santa Clara, CA.
Builds and scales the AI infrastructure platform behind Gatik's autonomous trucking models: distributed multi-GPU training (PyTorch, Ray, H100/A100 clusters), MLOps lifecycle automation (MLflow, Argo, Kubernetes), AI-agent-driven ops, data pipelines, and observability. Onsite 5 days/week in Santa Clara, CA.
About Egen: Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and…
Research and build deep learning models for trading strategies using large-scale GPU clusters, collaborating with traders and engineers to deploy ML in finance.
A 10-week paid summer internship (June–August 2027) in San Jose where the intern trains and evaluates ML models, diagnoses training failures, and works on LLM/generative AI research using PyTorch or TensorFlow, iterating quickly with Claude-assisted workflows. Open to Master's/PhD students entering their final year; on-site 5 days per week.
Research engineer who designs the neural core of general-purpose industrial robots: vision-language-action models, action world models, and real-world reinforcement learning, plus the data loops that train them. Core stack is expert-level Python with PyTorch or JAX, with optional edge deployment on NVIDIA Jetson.
AI Infrastructure Engineer 5 days, Mon - Fri 8.30am to 5.30pm Salary: $5,000 to $7,000 Location: Kaki Bukit Operating Systems: Deep expertise in Linux systems administration, kernel tuning, and shell scripting…
Designs and maintains GPU clusters, Kubernetes, and high-speed networking/storage for AI/ML workloads, using Terraform, Ansible, and observability tools.
Senior MLOps/AI Infrastructure Engineer for a fast-growing Bay Area AI company (hired via recruiter SmartRecruitment.com, iGaming-focused). Day to day: build and scale distributed training infrastructure, low-latency LLM/multimodal model serving, ML CI/CD, and Kubernetes/cloud compute optimization. Remote role open to candidates in Brazil, Malta, or Taiwan.
Lead AI Engineer shaping AI capabilities for Altus Group's ARGUS commercial real estate platform — building LLM-powered apps, agentic workflows, and AI-driven analytics from concept to production. Remote-first from Toronto with ~1–2 in-office days per month; hands-on technical leadership role with $200k–$230k base.
Majestic Labs, a US-Israeli AI infrastructure startup building custom AI servers, is hiring a Technical Program Manager in Raanana to lead cross-functional engineering programs spanning compiler infrastructure, AI kernels, GPU runtime, hardware design, and ODM/manufacturing coordination — translating complex architecture into roadmaps and delivering servers at scale.
Senior architect at o9 Solutions in Bengaluru who designs and leads delivery of production AI systems for the company's enterprise planning platform — translating business problems into mathematical/statistical models and building deep learning and agentic AI systems. Core stack: expert Python, modern DL frameworks, distributed/GPU training, with Scala/Kotlin/Rust a plus.
Do you want to help the world build custom AI? We're hiring a Senior Forward Deployed Engineer to drive technical engagement with partners and customers across NVIDIA's open model portfolio, including NVIDIA…
Do you want to help the world build custom AI at scale? We’re hiring a founding Director to build and lead NVIDIA’s Forward Deployed Engineering organization for open models, including NVIDIA Nemotron and NVIDIA…
NVIDIA is hiring a software engineer for DGX Cloud AI infrastructure to bring up, benchmark, debug, and optimize large-scale distributed LLM training and inference workloads on multi-GPU, multi-node clusters. Day to day involves root-causing failures, building benchmark/automation tooling, and tuning performance with PyTorch, NeMo/Megatron, TensorRT-LLM, and CUDA.
Builds and deploys computer-vision ML pipelines for geospatial intelligence (GEOINT) data at Vantor — including synthetic data generation with generative AI, data engineering, and production model serving on cloud infrastructure with Kubernetes. Requires US citizenship and an active TS/SCI clearance; onsite in Herndon.
Senior SRE designing, operating, and debugging large-scale multi-provider GPU clusters used for distributed AI training and inference. Day-to-day spans GPU systems, high-speed networking (InfiniBand/RoCE/NVLink), Kubernetes/Slurm orchestration, Linux internals, automation, and GPU-specific observability, plus hands-on customer troubleshooting.
Builds and deploys learning-based manipulation systems for service robots: perception-to-action models, training data pipelines, sim-to-real workflows, and edge-optimized deployment so robots can reliably interact with physical environments. Core stack: PyTorch, Python, Isaac Sim/MuJoCo, ONNX/TensorRT.
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