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As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.

Key Responsibilities
Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.

As a key member of our best-in-class CAD Group, you will be part of building innovative designs. We will apply your hands-on experience in power EM/IR analysis to develop, define and refine the methodologies and flows for gate-level, as well as transistor level designs. Major tasks will include functional static / dynamic IR analysis, scan mode IVD analysis, package and interposer model handling, 3DIC and multi die analysis, power EM analysis, SigEM, power switch modeling, design abstract and reuse for EM/IR purposes, IP / SoC level EMIR sign-off / ECO, and much more. Are you ready to join some of the world's leading engineers, and help us deliver the next generation of ground-breaking our products?

In this highly visible role, your primary responsibilities will include:
- Development of custom EM/IR solutions that scale with accuracy and capacity challenges.
- Streamline and automate EM/IR flow with ownership of the entire flow.
- Support and collaborate with design groups (Physical-design and integration, Circuit-design / Power / Package & System / Technology) on their EM/IR requirements for various post-layout flows.
- Work side by side with EDA vendors and foundries for tool qualification, debug, and enhancement.

abra is hiring a .NET Web Developer The role involves developing and maintaining large-scale web applications using ASP.NET and VB.NET, creating responsive user interfaces with HTML, CSS, JavaScript, and various front-end frameworks (such as Angular), integrating APIs and third-party services, and collaborating with Product Managers, UI/UX Designers, and QA teams to deliver reliable and stable solutions. Full-time position, Sunday–Thursday, based in Tirat Carmel.

abra Microsoft Solutions is seeking a Junior ERP Implementer to join our team! Responsibilities
* Lead and support end-to-end ERP implementation projects
* Conduct system training and workshops for end users
* Gather and document business requirements
* Perform system testing and support user acceptance testing (UAT)
* Provide user support during and after go-live
* Collaborate with cross-functional teams to ensure successful system adoption