126 to 147 of 147 Google JAX Jobs

decisions Breadth across model architectures — transformers, diffusion, Mamba and others; the field hasn't converged and curiosity matters Fluency in Python and PyTorch or JAX Systems-level thinking: reasons from first principles, not from defaults Fully fluent in English — written and verbal, hard requirement Must be based in Europe ...

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced DriverTM—to improve access to mobility … generative models. Strong publication record or history of impactful project delivery in RL or related areas. Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow). Experience with large‐scale distributed training and data processing. Proven ability to lead complex and ambiguous technical projects from conception to completion. ...

better outcomes, 80% less admin work Raised a $30M Series A from top investors Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more … high level familiarity with the architecture and operation of large language models. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem‐solving and analytical skills, with a proactive approach ...

hackajob is partnering directly with BlackRock to hire for this role. About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefine what's possible ...

design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud ...

Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models … Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron Key job responsibilities This role will help lead the efforts in building distributed inference ...

problem-solving skills with the ability to work independently and collaboratively. Clear written and verbal communication skills. Familiarity with deep learning frameworks (TensorFlow, PyTorch, JAX) advantageous. Experience with optimisation, reinforcement learning, or LLMs a plus. Exposure to chip design or applied AI research desirable. Keywords: Research Engineer/Machine … Learning/AI/LLMs/Reinforcement Learning/Generative Models/Deep Learning/PyTorch/TensorFlow/JAX/Python/C++/Semiconductor/Chip Design/Optimisation/London/Cambourne/UK/Permanent If you are interested in this Research Engineer position, please ...

this for the Neuron based system is key. Key job responsibilities You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium … natural language processing PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Experience in computer architecture - Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. Amazon is an equal opportunity employer and does not discriminate on the basis ...

AI Research Engineer (PhD) MITO AI · United Kingdom (Remote) · Open to Europe AI Research Engineer (PhD) — Generative & Multimodal AI for Creative Production Location: Remote (UK) — open to Europe, especially Madrid | Experience Level: Mid-Senior (PhD ...

practical experience. 5 years of experience developing, training, and deploying diffusion models and generative video architectures. Experience writing custom GPU/TPU kernels (e.g., JAX or PyTorch) for model serving. Preferred qualifications: PhD in Computer Science, Machine Learning, AI, or a related quantitative field or equivalent practical experience. Experience … inference. Proven track record of deploying machine learning models to production at scale or publishing widely adopted open-source research. About the job At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas ...

AI ACCELERATOR Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right ...

Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and ...

vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Autonomy ML Infrastructure team is responsible for building & improving the core … profiling, and optimizing GPU ML compilers & runtimes. Proficient in Python and working experience with C++ and CUDA. Working experience deep learning frameworks (like PyTorch, Jax, Tensorflow, Keras). Proficient in Python and working experience with C++. You are passionate about accelerating the benefits of robotics for everyday life. ...

vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Autonomy ML Infrastructure team is responsible for building & improving the core … profiling, and optimizing GPU ML compilers & runtimes. Proficient in Python and working experience with C++ and CUDA. Working experience deep learning frameworks (like PyTorch, Jax, Tensorflow, Keras). Proficient in Python and working experience with C++. You are passionate about accelerating the benefits of robotics for everyday life. ...

make that hardware serve large AI models at rack scale by building and extending the runtime and serving stack that connects PyTorch and JAX down to the metal. This is a whole-stack systems role. You’ll work where the runtime, the network, and the accelerator meet, partnering closely … cache and memory management, and reliability across distributed failure domains at cluster scale. Fluency at the framework boundary , connecting accelerators to PyTorch/JAX and serving stacks without treating either as opaque. Whole-stack debugging: end-to-end and timeline tracing, workload replay, and reasoning from architectural constraints (SRAM ...

Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. ...

external partners. Preferred: Triton or Mojo for authoring custom GPU kernels - highly desired. CuTe DSL for Python-based kernel authoring on NVIDIA GPUs. JAX and its Pallas kernel language for authoring kernels on GPU/TPU. HIP/ROCm and AMD GPU experience. NCCL and collective-communication performance. Experience … with alternative accelerators such as Google TPUs and Meta's MTIA. Familiarity with kernel-authoring DSLs and nano-compilers such as KNYFE and its Block DSL. Experience with Kubernetes at production scale. Experience with SUNK (Slurm on Kubernetes)/Slurm for scheduling large GPU jobs. Experience running MLPerf submissions ...

external partners. Preferred: Triton or Mojo for authoring custom GPU kernels - highly desired. CuTe DSL for Python-based kernel authoring on NVIDIA GPUs. JAX and its Pallas kernel language for authoring kernels on GPU/TPU. HIP/ROCm and AMD GPU experience. NCCL and collective-communication performance. Experience … with alternative accelerators such as Google TPUs and Meta's MTIA. Familiarity with kernel-authoring DSLs and nano-compilers such as KNYFE and its Block DSL. Experience with Kubernetes at production scale. Experience with SUNK (Slurm on Kubernetes)/Slurm for scheduling large GPU jobs. Experience running MLPerf submissions ...

external partners. Preferred: Triton or Mojo for authoring custom GPU kernels - highly desired. CuTe DSL for Python-based kernel authoring on NVIDIA GPUs. JAX and its Pallas kernel language for authoring kernels on GPU/TPU. HIP/ROCm and AMD GPU experience. NCCL and collective-communication performance. Experience … with alternative accelerators such as Google TPUs and Meta's MTIA. Familiarity with kernel-authoring DSLs and nano-compilers such as KNYFE and its Block DSL. Experience with Kubernetes at production scale. Experience with SUNK (Slurm on Kubernetes)/Slurm for scheduling large GPU jobs. Experience running MLPerf submissions ...

runs. You Might Be a Good Fit If You Have Strong engineering experience in large-scale distributed training or HPC systems. Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops. Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar). Comfort debugging … closely with infra, research, and deployment teams. Nice to Have Experience with training LLMs or other large transformer architectures. Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.). Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches). Experience with data pipeline optimization, sharded ...

CoreWeave is The Essential Cloud for AITM. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI ...

Genesis-World works and is used Opinions about API design Bonus: experience with Drake, MuJoCo, Newton, Isaac, RaiSim, Jiminy, or Brax Bonus: PyTorch, Triton, JAX, or Numba Bonus: 3D tooling and interactive editors such as Maya, Blender, or Houdini Bonus: serialization formats such as USD, glTF, MJCF, or URDF … Soft Skills Community Communication Issue Triaging Industry Keywords Simulation Physics Solvers Robotics Interactive Editors 3D Tooling Tools & Technologies CUDA AMD Apple Metal PyTorch Triton JAX Numba Maya Blender Houdini #J-18808-Ljbffr ...