Deep Learning jobs in Israel

What you'll be doing:

• Research, invent, and implement groundbreaking algorithms for LLM inference to advance the state of the art in both low-latency and high-throughput scenarios.
• Translate research into practical software solutions that directly impact NVIDIA's products and customers.
• Collaborate with internal research, engineering, and product teams across the globe to drive the development of sophisticated inference technologies.
• Analyze the performance of new algorithms on NVIDIA’s latest hardware, identifying bottlenecks and opportunities for algorithmic optimizations.
• Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

What we need to see:

• MSc/PhD in Computer Science, Electrical Engineering, or a closely related field.
• At least 3 years of proven experience in deep learning research or applied research.
• At least one publication in a top-tier AI/ML conference (e.g., NeurIPS, ICLR, ICML).
• Deep understanding of LLM architectures coupled with hands-on experience in training large-scale models.
• Excellent programming skills, particularly in Python and deep learning frameworks like PyTorch, and experience with software engineering best practices.
• A strong problem-solving mentality and a proactive demeanor, driven by the ambition to deliver solutions with real-world impact.

Ways to stand out from the crowd:

• Hands-on research experience in LLM inference optimization algorithms such as speculative decoding or parallelization strategies.
• Proven experience with High-Performance Computing (HPC) environments, including training or running inference on large-scale GPU clusters (tens to hundreds of GPUs).
• Deep familiarity and experience with popular LLM inference systems (e.g., vLLM, TensorRT-LLM).
• Experience from a world-class industrial research group or a top-tier institution.

What You’ll Be Doing:

• Build high-quality training videos, incorporating filming, animation, editing, and post-production with Adobe Suite and Camtasia.

• Compose and develop interactive courseware using Articulate Storyline, Rise, and AI-powered authoring tools.

• Continuously explore and implement AI-driven tools to streamline training production and boost content impact

• Create visually engaging presentations that enhance clarity and learner engagement.

• Collaborate with SMEs to develop quizzes, assessments, and certification exams.

• Lead your own workflow, set priorities, and ensure timely delivery of learning materials.

What We Need to See:

• Bachelor’s degree in Instructional Design, Learning Technologies, or a related field; or in Animation, Graphic Design, Motion Graphics, Computer Science, or a related technical or creative discipline or or equivalent experience

• 8+ years of experience in instructional design or video-based learning content development

• Demonstrated expertise in video production, including recording, animation, and editing

• Strong visual design skills, with hands-on experience using Adobe Premiere, After Effects, Illustrator, and Photoshop

• Experience working with e-learning tools such as Camtasia, Articulate Storyline, and Captivate

• Ability to quickly learn and apply AI-powered authoring and automation tools in content creation

• Strong analytical and creative thinking skills, with the ability to make technical topics approachable through engaging visual storytelling

• Excellent communication, collaboration, and time management skills

Ways to Stand Out from the Crowd:

• A video-focused portfolio showcasing diverse training content such as animated explainers, technical demos, and AI-generated media

• Proven experience using AI-powered authoring and production tools (e.g., Synthesia, VEED, ElevenLabs, Pictory, D-ID) to create engaging learning experiences

• Familiarity with AI-based video workflows, including automated voiceovers, animation, or editing

• Advanced skills in motion graphics and video creation, especially using Adobe After Effects

• Experience developing content for technical subject areas, such as networking, AI, or cloud infrastructure

We’re building a new core group of engineers in TLV to drive innovation in compiler technology and systems-level ML software. As a Machine Learning Compiler Engineer, you’ll help shape the direction of the team from the ground up and work on:Designing and optimizing compiler features for high-performance ML workloadsSolving complex challenges in areas like graph optimization, code generation, and hardware-software co-designAs part of the Backend Compiler Team, you’ll contribute to projects involving instruction scheduling, memory management, parallelism, graph partitioning, ISA design, and new hardware bring-up.Key job responsibilities
Solve challenging technical problems, often ones not solved before, at every layer of the stack.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.Considering the technical requirements of this role, and to ensure fair and equal candidate consideration, we are conducting full interview loops. If you meet the basic qualifications, and the team is interested in moving forward, we will be in touch to coordinate your interviews.*Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Why AWS
*Work/Life Balance
*Inclusive Team Culture
*Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- B.S. or M.S. in computer science or related field
- Proficiency with 1 or more of the following programming languages: C++ (preferred), Python
- 3+ years of non-internship professional software development experience
- 3+ years of experience developing compiler optimization, graph-theory, hardware bring-up, FPGA placement and routing algorithms, or hardware resource management

The Product:
AWS Machine Learning accelerators are at the forefront of cloud innovation and power some of the most advanced Generative AI applications on AWS. Our custom silicon – including the Inferentia chip for ML inference and the Trainium chip for ML training – delivers industry-leading performance and cost efficiency at scale. These are powered by the AWS Neuron Software Development Kit (SDK), which includes a deep learning compiler, runtime, and native integration with popular ML frameworks like PyTorch, TensorFlow, and MXNet.
Key job responsibilities
The Team:
You:
As a Senior Machine Learning Compiler Engineer in Tel Aviv, you’ll lead the development of cutting-edge compiler technologies, optimize large-scale ML workloads, and bring new hardware to life. You’ll have the opportunity to influence architecture, mentor other engineers, collaborate with AWS services teams, and work on projects that span the full product lifecycle – from pre-silicon design to production.A background in ML, compilers, or AI accelerators is a plus – but above all, we're looking for passionate engineers eager to innovate at scale.A day in the life
As a Sr. Machine Learning Compiler Engineer on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.*Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Why AWS
*Work/Life Balance
*Inclusive Team Culture
*Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team

- Bachelor's degree in computer science or equivalent