לוח משרות דרושים מהנדסים בתל אביב יפו, לחיפוש זה נמצאו 1,067 משרות

Required Senior AI Infrastructure Engineer
As a Senior AI Infrastructure Engineer, you'll lead the development and scaling of our machine learning training and AI infrastructure, enabling our AI and Research teams to build, train, and deploy cutting-edge AI solutions at scale. You'll collaborate across research, engineering, and business teams to create the foundations that power our AI innovation.
Youll Own:
Developing and evolving our machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling.
Designing and building scalable infrastructure that supports large-scale model training, experimentation with classic models and LLM, and validation.
Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency.
Youll Solve:
Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles.
Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably.
Youll Impact:
Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently.
Improve the scalability, reliability, and consistency of machine learning development across our AI organization.

We are looking for a highly analytical, deeply technical, and proactive Senior Salesforce and Business Applications Analyst to join our team. In this role, you will champion an AI-first approach, leveraging AI across every aspect of your work to optimize efficiency and drive innovation.
You will bridge the gap between business needs and technical execution, taking full ownership of complex systems and driving end-to-end processes. Your focus will be on supporting, enhancing, and automating our operations across various Gett business domains, including Sales, Service, and Marketing.
This hands-on role encompasses managing daily system maintenance, configuring systems, integrating AI-driven workflows, and overseeing projects from inception to completion.
Key Responsibilities:
End-to-End Project Management: Manage complex, cross-functional projects from initial ideation, through requirements gathering, to successful deployment and optimization.
Drive Innovation & Initiative: Act as a proactive change-agent. Identify business gaps, propose innovative solutions, and passionately push new initiatives forward to improve efficiency and performance.
System Ownership: Take full accountability and end-to-end ownership of the systems health, functionality, and alignment with business goals.
Mentorship & Leadership: Guide, mentor, and upskill junior team members, fostering a culture of continuous learning and professional excellence within the team.

Required Escalation Engineer
Description
We hava unified payments, payouts and fintech on one worldwide platform, and were assembling the worlds best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities are limitless.
We believe in straight talk, quick decisions, strong execution and elegant solutions. this is where hard work pays off and careers take off. Join us and lets build the future of fintech together.
As a Escalation Engineer you will be responsible for:
Serve as a focal point and source of knowledge for departments in the company and for our clients. Share the knowledge, by being a point of advice for the CS department and other internal teams, and work on keeping our KB up to date, including creating new articles.
Manage major and critical production outages - Take ownership, troubleshoot, diagnose, resolve technical issues, and prepare internal and external RCAs.
Work closely with business and engineering teams to ensure efficient issue resolution, maneuvering towards the most suitable solutions, and minimizing further escalations as much as possible.
Analyze production traffic and locate design gaps - deep-dive analysis of the transaction processing by our clients with our partners, identification of design gap (what is missing and what needs to be done), and analysis of top-tier client processing approval ratio.
Participate in the features development life cycle - starting from the design to the implementation method, and the handover to the relevant teams.
Maintain production quality - work closely with the engineering team to coordinate maintenance in production, provide risk analysis, and constantly enhance production quality.

Were looking for a Computer Vision Research Scientist to join our amazing growing team where each team member makes an impact.
Responsibilities:
Conduct research and development in computer vision and image processing
Design, implement, and integrate computer vision and machine learning algorithms and prototypes and assist in the transition into products and services
Interact with and support multiple research teams ranging from research scientists to engineers to manufacturing and retail
Work between multiple business units and sub business units including managing meeting flows, presenting data, building, and maintaining relationships.
integrate the latest high impact ML and AI technologies into our process.

We are a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.
We are seeking a talented, self-driven, team-player, passionate Physicist to join our R&D team. In this role, you will develop and advance distributed fiber optic sensing technologies, combining theoretical modeling, simulations, fiber-optics systems design, and hands-on experimental work. You will tackle complex physical challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative solutions from concept to real-world deployment. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.
Hiring Manager:
Eyal Hollander
What Youll Do:

* Experimental and theoretical R&D work for the development of our next generation distributed fiber optic acoustic sensing (DAS) electro-optic interrogation systems.
* Gain unique end-to-end expertise across the full sensing system pipeline, spanning optical signal generation and propagation, coherent detection, DSP algorithms, and advanced data analysis.
* Experimental Work to prove new concepts, develop innovative solutions for new products, and support current generations.
* Develop software tools and simulations ( Python /MATLAB/ C ++) for laboratory experiments, field data analysis, signal processing, and system modeling.
* Collaborate with multidisciplinary R&D teams and projects.
* Communicate effectively with technical and non-technical colleagues.

a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are looking for a talented, self-driven, and hands-on DSP Researcher to join our Photonics R&D team. In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications. You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams. This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
 
What Youll Do:
* Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
* Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
* Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
* Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
* Develop simulations, models, and analysis tools using Python and/or C ++ for lab experiments, field data analysis, signal processing, and system -level performance evaluation.
* Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
* Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
* Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

We are a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.
We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join Photonics R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis. You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment. This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.
What Youll Do:
* Lead experimental and theoretical R&D efforts for the development of Prismas next-generation distributed fiber-optic acoustic sensing systems.
* Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
* Develop system -level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
* Build software tools and simulations in Python, C ++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
* Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
* Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
* Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
* Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
* Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.

As Chief Architect, you will lead cross-group technical efforts, head the Architect Guild, and lead the department's AI enablement and transformation efforts. You will serve as a technical consultant and see the large picture of Optibus technology stack and its architecture. Our technology stack is built to handle significant complexity, integrating advanced AI, Data Science, and algorithmic optimization with robust infrastructure - ranging from cloud-native K8s and Serverless deployments to specialized Mobile and Embedded systems

This is not a docs and slides position, were looking for an architect who wishes and can stay hands-on and be able to dive into multidisciplinary complex issues and independently solve them. You will work closely with R&D leads and engineers to ensure engineering best practices and excellence.

We are seeking a Senior AI Engineer to join our core product organization, where you will design, build, and scale next-generation AI systems powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). This role focuses on developing production-grade systems leveraging LLMs, advanced machine learning, and agent-based architectures.
You will join a team within our Cyber R&D organization-leading the companys core product portfolio- while driving AI innovation and establishing engineering best practices across the domain. The team focuses on building and optimizing large-scale AI systems, including LLM-based solutions and advanced multi-agent workflows, working closely with data scientists and researchers to bring ideas into production.
Responsibilities
Design, build, and own end-to-end AI solutions- from data collection and preprocessing to model training, evaluation, and production deployment.
Optimize systems for performance, scalability, and reliability in production environments.
Collaborate closely with product, design, and engineering teams to identify and deliver AI-driven capabilities that address real customer needs.
Stay up to date with emerging AI/ML technologies, frameworks, and best practices, and apply them where they create real impact.
Work across the stack, contributing to backend systems and data pipelines that support large-scale AI applications.
Troubleshoot and resolve complex system issues, including performance bottlenecks, race conditions, and memory-related challenges.
Approach problems with a strong analytical mindset, delivering robust solutions while contributing to a high-performing, collaborative team environment.

Required Senior AI Platform Engineer - Sovereign AI Engineering
The Dream Job
It starts with you - an engineer driven to build the agentic AI platform that turns LLMs into reliable, production-grade capabilities. You care about clean APIs, well-defined service boundaries, and systems that teams can build on with confidence. We are AI-first across the board - every team builds and operates agents. You'll architect and ship the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation pipelines, tool-calling infrastructure, and retrieval systems. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments.
If you want to make a meaningful impact, join our mission and build the agentic AI platform that drives Sovereign AI products - this role is for you.
Responsibilities
Design and build agentic systems - single and multi-agent workflows with planning, memory, context engineering, and tool use - for both internal automation and product-facing autonomous capabilities operating over long time horizons.
Build and operate the AI platform layer - LLM gateways, prompt management, structured output handling, tool-calling infrastructure, and cost/latency optimization - deployed on Kubernetes, consumed by every team for their agentic work.
Own the agent framework layer - orchestration primitives, execution environments, state management, and sandboxed tool execution - giving every team the building blocks to create and operate their own agents.
Build evaluation infrastructure that gives teams confidence in agent behavior - automated LLM and agent evals for quality, correctness, safety, latency, cost, and regressions, including human-in-the-loop oversight for mission-critical workflows.
Productionize and harden backend services (APIs, gRPC, async workers) that integrate LLMs - with proper error handling, retries, circuit breakers, and high-availability patterns.
Own RAG pipelines and retrieval systems - indexing, chunking, embedding, vector database management, filtering, and relevance tuning for production retrieval.
Optimize performance and cost across the AI stack - model routing, caching, batching, and inference cost management.
Ship shared tooling - libraries, SDKs, agent templates, and documentation - while working closely with ML Platform, Data Platform, DevOps, and other teams across the Applied AI Engineering group. Own architecture, documentation, and operations end-to-end.

We are looking for a talented Developer Support Engineer (suitable for a Student Position) to join our team to help us support our growing global customer-base.

RESPONSIBILITIES:
Investigate & Resolve technical issues escalated from support agents.
Identify the root cause for issues.
Analyze system logs and dashboards to streamline troubleshooting.
Develop scripts for debugging and automating.
Reproduce customer scenarios for resolving relevant bugs/features.
Maintain and improve a knowledge base of known issues and solutions.
The position includes liaising with CS, QA, Delivery and Sales teams.

we are looking for a Senior Solutions Architect.
In this position, you will be a key member in the pre-sales process, working directly with global startup customers and cross-functioning with account managers to develop AWS solutions for the customers.
📍 Work location: hybrid from Tel-Aviv.
Key Responsibilities:
Meet with customers, understand their business challenges, and design AWS solutions that address them, covering architecture, cost-efficiency, scalability, and security through Statements of Work (SOW)
Analyze existing customer AWS architectures and propose improvement roadmaps
Collaborate cross-team with different departments to ensure solutions are designed according to AWS best practices
Build thought leadership in the cloud community by contributing to blogs, workshops, webinars, conferences, and more, representing Automat-it as a trusted voice in the ecosystem
Travel both locally (to meet with customers, partners, and attend local events) and abroad (at least once a quarter)

We are looking for an experienced Senior Technical Services Engineer to join our dynamic team based in Israel. You will play a critical role in ensuring the smooth operation of our technical infrastructure and product flows. Your responsibilities will include providing tier 3 technical support for escalated issues, taking charge of building monitors, maintaining continuous vigilance over the production environment, and taking the lead in coordinating incident response efforts across different departments.

A day in the life and how youll make an impact:
Lead cross-functional efforts to identify, analyze, and address intricate technical challenges, fostering seamless collaboration between various support teams and engineering units. Additionally, assume responsibility for addressing complex support tickets and ensuring adherence to stringent SLAs, all while maintaining a commitment to meeting service level objectives.
Lead cross-functional efforts to tackle complex technical challenges, ensure smooth collaboration between support and engineering teams, handle complex support tickets, and meet SLAs.
Continuously monitor diverse processes across our systems, proactively identifying potential issues before they escalate. Additionally, engage in thorough research of issues arising from these monitoring activities and collaborate closely with the R&D team to develop effective resolutions. Simultaneously, contribute to ongoing improvements to our monitoring systems to elevate their efficacy and reliability.
Monitor system processes to spot potential issues early, research problems, collaborate with R&D for solutions, and enhance our monitoring systems.
Take an active role in incident management efforts while also contributing to continuous improvements in R&D processes. Diligently track key metrics and maintain proactive oversight to ensure sustained optimization.
Develop monitoring tools and drive process improvement initiatives to ensure smooth system operations and enhanced operational efficiency.

We're looking for a Senior Full Stack Engineer to join our team!

A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like React, Node.js, AWS, and scalable databases to build a unique experience in B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.