Jared Roesch
@roeschinc
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Distinguished Engineer @nvidia; working on Tile IR Prev. Co-founder @octoml. PhD @uwcse. Attempting to write about AI @ https://t.co/toFSukgrzM
Seattle, WA
Joined June 2011
I have been verbally sharing my perspective & insights on the AI market having worked in the space for 6 years now. Yet another person told me I should be writing more often. Stay tuned for more! https://t.co/XxeuG6mFdR
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Today we are releasing our first public beta of Nsight Python! The goal is to simplify the life of a Python developer by proving a pythonic way to analyze your kernel code! Check it out, provide feedback! Nsight Python — nsight-python
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🚀 I’m hiring across multiple levels — AI engineers, senior IC/leads, and interns — to join me at @nvidia . We’re building the next generation of high-performance, multimodal, and agentic AI systems across the full stack: models, kernels, compilers, and hardware. You don’t need
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Zed's VSCode fork. Coming April 1st, 2026.
Meet Google Antigravity, your new agentic development platform. An evolution of the IDE, it's built to help you: - Orchestrate agents operating at a higher, task-oriented level - Run parallel tasks with agents across workspaces - Build anything with Gemini 3 Pro.
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📢i'm re-sharing my popular #PhD application guide on applying for STEM PhD programs!💡this year's #application cycle is going to be more competitive than ever, so here's some completely FREE advice that has helped over 150k+ people over the past 6 years 😇 https://t.co/a9mALTLzHL
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“why yes just give us your model and our state-of-the-art compiler will automatically shard it across your cluster”
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Today we’re officially launching Bubble Lab. 🫧 🚀 We spent the last 4 months rebuilding the way developers automate. If you’ve ever wrestled with @n8n_io or similar tools: debugging silently breaking workflows, staring at black-box logs, or trying to ship fragile JSON configs
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Our team at @nvidia is looking for summer interns to work on challenging research problems in gaming, vision, and AI! Gaming Research: https://t.co/IDkBBr3Ufa Cross-Disciplinary Vision Science:
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1.1M tokens/sec on just one rack of GB300 GPUs in our Azure fleet. An industry record made possible by our longstanding co-innovation with NVIDIA and expertise of running AI at production scale! https://t.co/1qLvoS2z70
techcommunity.microsoft.com
Azure ND GB300 v6 Virtual Machines with NVIDIA GB300 NVL72 rack-scale systems achieve unprecedented performance of 1,100,000 tokens/s on Llama2 70B...
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It’s always funny what people hone in on, only 4 of these are “top” from a CS perspective 😂
OpenAI is absolutely hunting and grabbing its employees from the top universities: 1. Stanford — 422 2. UC Berkeley — 316 3. MIT — 230 4. Carnegie Mellon — 198 5. Harvard — 144 6. UCLA — 106 7. USC — 83 8. Columbia — 82 9. NYU — 81 10. Cornell — 79
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@kyliebytes crazy to hate millenials while wishing it were the literal year of the millenial
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📢Excited to introduce Apache TVM FFI, an open ABI and FFI for ML systems, enabling compilers, libraries, DSLs, and frameworks to naturally interop with each other. Ship one library across pytorch, jax, cupy etc and runnable across python, c++, rust https://t.co/m2gHJRreol
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🚀Excited to launch FlashInfer Bench. We believe AI has the potential to help build LLM systems . To accelerate the path, we need an open schema for critical workloads and an AI-driven virtuous circle. First-class integration with FlashInfer, SGLang and vLLM support👉
🤔 Can AI optimize the systems it runs on? 🚀 Introducing FlashInfer-Bench, a workflow that makes AI systems self-improving with agents: - Standardized signature for LLM serving kernels - Implement kernels with your preferred language - Benchmark them against real-world serving
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Headed to #OpenSourceAIWeek and #PyTorchCon? Our engineer, Anish Maddipoti highlights his top 5 must attend developer meetup and coding events: 1️⃣ Infra at scale with @dstackai & Lamda Labs 2️⃣ Happy hour trivia with @DeepInfra, @vllm_project, NVIDIA 3️⃣ Hands-on fine-tune with
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📢 The Fundamental Generative AI Research (GenAIR) team at NVIDIA is looking for outstanding candidates to join us as summer 2026 interns. Apply via: https://t.co/DARXlEpmUg Email: genair-openings@nvidia.com Group website: https://t.co/mWY7utKK1m 👇
research.nvidia.com
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All these takes are correct, students are missing that "using AI" is not "what it takes to build AI" the effortless vibe-coded app you built is running on a huge stack built by "useless theory" and deep engineering to make the huge software stacks, and chips that it all runs on.
This is not a particularly good take and is indicative of a fundamental misunderstanding of what a top-tier technical college education is suppose to offer. Preparing to understand modern AI as a Harvard or Stanford undergrad is not about learning "prompt engineering", vibe
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📣Hiring! Two opportunities 1. Research internship@MSR AI Interaction and Learning (Current PhD students) 2. Multiple positions in my lab @UTiSchool on LLM Personalization/Human-AI Alignment (Prospective PhD students) Details in thread below👇
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The Spatial Intelligence Lab at NVIDIA ( https://t.co/xbmEu7ZmQI) is looking for 2026 research interns! We do all kinds of cool work across graphics/vision, geometry, physics, & ML. Now is the time to apply & reach out! https://t.co/Fp7UL70wwf (not limited to Canada-only)
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I've never seen the Python community embrace any tool faster than they did with uv. uv is likely the best Python tool of the last few years. If you aren't using it yet, stop what you are doing and look into it. If you are already a user, check out the attached cheatsheet.
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