

In this role, you will be responsible for:
Development of large-scale generative AI framework software development
Preparing data for machine learning models at scale.
Building inference interfaces for ML model consumption.
Enabling ML Ops for continuous delivery and automation of ML pipelines.
Developing solutions that can evolve into sustainable AI productization platforms.
Leading the creation of machine learning workflows and infrastructure necessary to build AI models and demonstrate solution feasibility.
*BSc/MSc/PhD student in Computer Science, Electrical Engineering, or similar field. MSc/PhD candidates are highly preferred.
* Ability to work at least 20 hours a week (one day from Petach Tikva offices), with studies expected to continue for at least 1.5 years.
* Practical programming experience in Python and ideally also C# is required.
*Experience with popular generative AI (e.g., AWS (Claude) or Azure (Open AI) Cognitive AI) services is highly desired.
* Solid understanding of machine learning techniques and applications.
* Proficiency in developing large-scale models using widely utilized AI frameworks (e.g., PyTorch, TensorFlow).
משרות נוספות שיכולות לעניין אותך

What you will be doing:
Build and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.
Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.
Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.
Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.
What we need to see:
PhD or Master's degree with equivalent experience.
8+ years of experience
Hands-on experience training LLMs/VLMs/VLAs from scratch, or a proven record as a top-tier ML engineer/researcher passionate about autonomous systems.
Strong programming skills in Python and proficiency with major deep learning frameworks. Basic familiarity with C++ for model deployment and integration in safety-critical systems.
Comprehensive grasp of current deep learning structures and improvement methods. Consistent track record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.
Ways to stand out from the crowd:
Experience developing and shipping LLM/VLM/VLA solutions for autonomous vehicles or general robotics products.
Publications, contributions to open-source projects, or victories in competitions connected to LLM/VLM/VLA systems.
Profound comprehension of behavior and motion planning in real-world autonomous vehicle (AV) applications.
Experience building and training large-scale datasets and models and/or training agents with reinforcement learning.

דאטה סיינטיסט שישתלב בצוות תיקוף מודלים בחטיבה לניהול הסיכונים - האחראי על בחינה והערכת מודלים אנליטיים וסטטיסטיים המשמשים את הבנק בתחומים מגוונים כגון: אשראי קמעונאי ועסקי, תמחור, שיווק, ציות ותחומים נוספים.
התפקיד כולל ביצוע בחינה, הערכה ואיתגור, שכולל לעתים גם פיתוח מקביל, של מודלים מתקדמים כולל ML, AI. (חיזוי, סיווג, זיהוי אנומליות ועוד).
התפקיד כולל הבנה עסקית של המודל, ניתוח מתודולוגיות, ביצוע בדיקות תיקוף עצמאיות, בניית מודלים, סיכום ותיעוד התיקוף והצגת ממצאים והמלצות בפני הנהלה בכירה, בהתאם להנחיות בנק ישראל ותקני Model Risk Management בינלאומיים.
בנוסף, תיקוף ובחינה של מודלי AI, יישום עולם הבינה המלאכותית והטמעת פתרונות AI בתחומים שונים בבנק.

What you’ll be doing:
Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL.
Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.
Create proof-of-concept to evaluate and drive such new technologies.
Work on impactful projects involving state-of-the-art high-performance computing software and hardware.
Designing and implementing services, runtime systems, and applications over SDK
Partner and collaborate with other forward-thinking team members and external researchers
What we need to see:
Hold a B.Sc. or M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university.
0-2 years of industry experience (or equivalent) in system programming or related fields.
Background in algorithm design, system programming, and computer architecture.
Strong programming and software development skills.
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Proven research track record.
Experience and passion for system architecture,CPU/GPU/Memory/Storage/Networking.
Stellar communication skills.
Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).

This role will cover Machine Identity Solutions in the UK and Irish market.
Please note that this is a hybrid role from Tuesday to Thursday based in our office in Barcelona.
Responsibilities:
Qualifications


What you’ll be doing:
Develop NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL
Develop novel HW architecture models and SDKs for them
Simulations ranging from specific components to complete data center environments
Designing and implementing services, runtime systems, and applications over SDK
Evaluate and optimize application performance
Partner and collaborate with other forward-thinking team members and external researchers
Participate and speak at conferences and events
Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components
What we need to see:
Student for BSc/MSc/PhD in Electrical Engineering, Computer, Science/Engineering,Math/Physics/Statisticsor a related field
Knowledge in networking, operating systems, accelerator programming, systems and AI training and inference
Track record of research excellence
Good communications skills
Please include your internship availability in your application

In this role, you will be responsible for:
Development of large-scale generative AI framework software development
Preparing data for machine learning models at scale.
Building inference interfaces for ML model consumption.
Enabling ML Ops for continuous delivery and automation of ML pipelines.
Developing solutions that can evolve into sustainable AI productization platforms.
Leading the creation of machine learning workflows and infrastructure necessary to build AI models and demonstrate solution feasibility.
*BSc/MSc/PhD student in Computer Science, Electrical Engineering, or similar field. MSc/PhD candidates are highly preferred.
* Ability to work at least 20 hours a week (one day from Petach Tikva offices), with studies expected to continue for at least 1.5 years.
* Practical programming experience in Python and ideally also C# is required.
*Experience with popular generative AI (e.g., AWS (Claude) or Azure (Open AI) Cognitive AI) services is highly desired.
* Solid understanding of machine learning techniques and applications.
* Proficiency in developing large-scale models using widely utilized AI frameworks (e.g., PyTorch, TensorFlow).
משרות נוספות שיכולות לעניין אותך