לוח משרות דרושים הייטק AI

we are now looking for a tensorrt-llm software development engineer! our company is hiring software engineers for its tensorrt-llm team. academic and commercial groups around the world are using gpus to power a revolution in deep learning-powered ai, enabling breakthroughs in areas like llm, chatgpt and generative ai that have put DL at the iPhone moment for ai. join the team which is building the inferencing software which is foundational to product lines within our company and across the industry! the ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.
what you'll be doing:
craft and develop robust inference software that can be scaled to multiple platforms for functionality and performance
performance analysis, optimization, and tuning for large language models (llms)
conduct unit tests and performance tests for different stages of the inference pipeline.
closely follow academic developments in the field of artificial intelligence and feature update tensorrt-llm
write safe, scalable, modular, and high-quality ( C ++/ Python ) code for our core backend software for llm inference.
collaborate across the company to guide the direction of deep learning inference, working with software, research and product teams

in this role, you will manage a team of ai/ ml engineers, lead the innovation and development the different solutions, and collaborate with cross-company teams. we are looking for an experienced, hard working manager who can collaborate effectively and has a deep technical capabilities in both ai/ml and software development.
what you'll be doing:
manage a team of 6-8 engineers
formalize the team work methodologies, collaboration, etc.
provide technical leadership, mentorship, and guidance to foster team growth.
supervise and build ai best in class solutions, including data ingestion, rag, mcps, agents, self service, and more.
be a part of an experienced team with a great atmosphere.
collaborate with cross-functional teams to identify and implement ai opportunities

we are in search of a top-tier ai agents solution architect to work closely with hardware architects, Verification engineers, gpu performance experts, and software developers to develop end-to-end agent flows that drive significant enhancements in simulation analysis, Kernel optimization, and Developer efficiency.
what you'll be doing:
develop innovative ai flows to improve hardware and software through collaboration with various engineering roles.
facilitate co-creation workshops to transform sme rules of thumb into specific assignments, resources, cues, and guidelines. define success measures, evaluation data, and feedback loops for agents to make a measurable difference in nvidia's hw simulation analysis and gpu- Kernel optimization workflows.
rapidly prototype and thoughtfully productize; integrate with internal services, utilize gpu capabilities, remove bottlenecks, and deliver fitting solutions.
set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.
mentor and improve teams through insights in agent orchestration, prompting, rag, observability, crafting documentation and playbooks for teams.

you will work at the intersection of Machine Learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make ai-generated code reliable, high-quality, and trustworthy.
what you'll be doing:
design and build ai-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.
evaluate and select ml approaches for specific problems: when to use llm prompting vs. fine-tuning (qlora), classical ml (random forest, linear regression) vs. reinforcement learning, rag vs. structured extraction.
architect feedback and evaluation systems that measure and improve ai output quality over time.
review and refine ai solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.
lead proof-of-concept development to validate new ai/ml approaches for development tooling.
collaborate with the core team to define risk-based development levels and calibrate ai review depth per level.

our company has been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. its a unique legacy of innovation thats fueled by great technology-and amazing people.
today, were tapping into the unlimited potential of ai to define the next era of computing. an era in which our gpu acts as the brains of computers, robots, and self-driving cars that can understand the world. doing whats never been done before takes vision, innovation, and the worlds best talent. as an our employee, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. come join the team that is building ai platform for operating ai factories to make a lasting impact on resilient operations of ai clusters.
what will you be doing:
you will bring together and understand internal and external customer requirements to improve ai cluster resiliency and design aiops-based solutions that address these needs.
develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, Full-Stack ai cluster problems. we will bring to bear the findings for product improvements!
deliver compelling technical presentations and lead hands-on demos or training. you'll also handle evaluation deployments (poc/pov) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

the corporate genai lead drives accelerates and scales genai adoption across our company to deliver measurable business impact.
this role translates emerging ai capabilities into structured, secure and business driven, working cross-functionally with r&d, it, Cyber security, and corporate teams, leading vendor relations and evaluating new ai solutions.
the genai director will operate at the intersection of technology strategy and execution - aligning priorities, enabling use cases, and shaping the genai roadmap to support our sustainable growth. what will your job look like: identify and prioritize high-impact genai use cases across engineering and corporate functions, aligning initiatives with measurable business value
lead cross-functional initiatives from concept through pilot and scalable deployment, ensuring clear ownership and delivery milestones
define and evolve the genai platform and infrastructure roadmap to support secure, scalable, and cost-efficient adoption
partner with it, Cyber security, and engineering teams to ensure secure and compliant implementation.
evaluate external tools, lead the adoption lifecycle from poc to enterprise rollout, and drive data -driven build-or-buy decisions
track adoption, business impact, kpis, and roi across the genai portfolio, adjusting priorities as needed
lead the genai internal community, strengthen internal knowledge sharing, and ai standards responsibilities.

the road algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. our work leverages deep neural networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles. we are looking for an expert deep learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities. what will your job look like:
conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
lead exploratory investigations into new architectures, training strategies, and data utilization methods
join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
own projects end-to-end - from concept and experimentation to integration and scalable deployment

were currently seeking a senior Developer technology engineer, artificial intelligence. would you enjoy researching parallel algorithms to accelerate ai workloads on advanced computer architectures? do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like nvidia? if so, the Developer technology team invites you to consider this role. 
what you will be doing:
in this position, you will research and develop techniques to gpu accelerate workloads in deep learning, Machine Learning or other ai domains.
work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex ai and hpc algorithms to ensure optimal ai solutions on modern cpu and gpu architectures.
publish and/or present discovered optimization techniques in Developer blogs or relevant conferences to engage and educate the Developer community.
influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at nvidia.

we are seeking expert ai engineers who are passionate about advancing cybersecurity research to join our team. this is an opportunity to work on groundbreaking projects that involve ai to secure high-performance networking systems.
what you'll be doing:
research novel ai techniques to secure next-generation networks and apply them to existing nvidia products.
investigate and analyze network telemetry for indicators of vulnerabilities in secure environments.
collaborate with nvidia researchers to explore innovative ways to improve security in networking products.
contribute to projects that have potential real-world impact on nvidia's product portfolio.

we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
As AI capabilities accelerate across the bank, we need an engineer to design and enforce safe AI usage-protecting customer data, preserving model integrity, and meeting our regulatory obligations. You'll be the architect of guardrails, tooling, and policies that make AI both secure and useful for product and internal teams. This isn't about slowing things down; it's about building the trust layer that lets innovation move fast without breaking things.
Who You Are:
You're a security engineer who's excited about the AI wave-someone who sees GenAI and LLMs as fascinating puzzles to secure, not just threats to mitigate. You've spent 5+ years in Security Engineering, AppSec, or Cloud Security, and at least 1-2 of those years have been spent getting your hands dirty with AI/ML or data -intensive systems. You're equally comfortable dissecting a prompt injection attack as you are writing a Terraform module or shipping a Python library. You know your way around AWS and/or Azure, modern app stacks ( Python /TypeScript, REST/gRPC, containers/Kubernetes), and can translate security requirements into Developer -friendly tooling-not just PDF policies that gather dust. You communicate clearly in English and Hebrew, thrive in regulated environments, and understand that security in financial services means mapping controls to frameworks like FFIEC, SOC 2, and PCI DSS-and actually having the evidence to prove it.
What Youll Actually Be Doing:

* Design enterprise AI guardrails across Azure and AWS (e.g., Azure AI Studio/Azure OpenAI, Amazon Bedrock/SageMaker): content filtering, PII redaction, prompt/response validation, and policy enforcement services.
* Implement data minimization controls for GenAI/RAG workloads: context filtering, leastprivileged retrieval, document-level ACL enforcement, vector store hardening, and secure token/secret handling.
* Threat model AI systems (apps, agents, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/jailbreaks/ data exfiltration) and build mitigations.
* Build monitoring and telemetry: privacy-preserving prompt/response logging, sensitive- data detection, safety/eval dashboards, drift/abuse signals, and incident hooks into our SIEM.
* Integrate AI security into the SDLC: reusable libraries, pre-commit checks, CI/CD gates, policy-as-code, and secure-by-default reference architectures for product teams.
* Evaluate thirdparty AI vendors and internal apps: security reviews, data residency and retention requirements, SSO/SCIM integrations, DPA/TPRM inputs, and continuous control testing.
* Partner across Security, data, Privacy, and Engineering to map AI controls to FFIEC, SOC 2, and PCI DSS; document control evidence for audits.
* Lead/participate in AI redteaming: automated jailbreak/promptinjection tests, safety benchmarks, purpleteam exercises, and response playbooks for AI incidents.
* Enable the org with concise guidelines, examples, and training on safe AI development and usage.

Why Youll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement - from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first
Next Step:
Hit Apply!

Were looking for a Creative AI Solutions Specialist to join our AI Lab - a cross-functional group driving innovation, experimentation, and advanced AI capabilities across .

This role sits at the intersection of creative technology, product, and applied AI. Youll work on cutting-edge LTX-2 workflows, prototype new capabilities, help bring AI solutions to market, and act as a domain expert supporting teams across the company - from Product and Design to Sales and Business Development.

Success in this role requires strong ownership, curiosity, technical depth, and a passion for pushing creative AI forward.

What you will be doing
Build AI-driven creative workflows, PoCs, and production-ready pipelines (with a strong focus on LTX-2)
Experiment with generative AI to unlock new creative capabilities and solve high-end production challenges
Create workflows and custom LoRAs to showcase capabilities to clients and design partners
Partner with Business Development and major studios, providing technical demos and pipeline integration guidance
Act as a trusted technical advisor for clients and internal teams
Collaborate with Product, Research, Design, and Creative teams to turn innovation into impactful features
Own the ideation and exploration of new creative and AI-driven capabilities, driving initiatives from concept and research to tangible prototypes and production impact

The team focuses on art direction, prompt architecture, and technical experimentation, bridging the gap between creative design and AI tool development inside LTX Studio platform.

Its responsibilities include feature development, testing generative models, building LLM-driven systems for visual generation, and defining visual presets, using the team creative background to bring out-of-the-box thinking and artistic perspective to technical features and innovation.

What you will be doing
Own visual quality and creative evaluation across image or video domains within LTX Studio
Lead AI Evaluation & AI Creation efforts - testing new generative models, benchmarking outputs, identifying strengths and limitations
Build POCs using AI coding tools and vibe coding methodologies
Translate innovation ideas into demos, workflows, and product features (0→1 ownership)
Develop and refine prompt engineering systems, including prompt enhancement logic and structured generation rules
Improve and iterate on existing product features related to visual generation
Collaborate closely with PMs, developers, researchers, and cross-functional teams
Participate in feature ideation and bring creative-first thinking into technical product discussions
Help define visual presets, output standards, and quality benchmarks
Continuously explore emerging tools, models, and techniques in the AI creator ecosystem

We are seeking a researcher to join the LTX Model Applications team, focusing on advancing and extending the capabilities of our LTX-Video models. You will design and explore new use cases, train novel ways to control the generation process, and push the boundaries of generative video technology. Your work will directly influence millions of users through our apps and contribute to the broader research and open-source communities, shaping the next generation of creative tools.

What you will be doing
Advance and extend the capabilities of our LTX-Video models through new controls, features, and use cases.
Design and implement machine learning models for video, image, and audio generation, as well as multimodal applications.
Conduct experiments, prototype concepts, and validate ideas to expand generative video technology.
Collaborate with engineers, designers, and product managers to translate research into impactful product features.
Regularly open-source code, models, and research insights, contributing to the academic and open-source communities.
Stay at the forefront of generative AI research in video, image, and audio, and bring relevant advances into our products.
Write high-quality, efficient code and maintain best practices in research workflows.
Mentor other researchers and lead collaborative projects.

The Model Evaluation team is the central nervous system of the LTX Foundation Model group. We don't just measure performance; we define what "good" looks like across a vast array of use cases. While we power the next generation of creative tools, LTX is also a foundational engine for simulation pipelines, game engines, synthetic data generation, architectural rendering, and digital avatars. We act as the critical bridge between raw research and industrial-grade reliability, building the benchmarks that ensure our models are world-class for both artists and engineers.

The Role
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.