לוח משרות דרושים מהנדסים עבודה היברידית, לחיפוש זה נמצאו 193 משרות

As a Software Engineer, you will be working in a dynamic and Agile engineering team based in Givat Shmuel in Israel. You will actively participate in the architectural design, software development, and ongoing maintenance of our platform services responsible for digital signature engines. This position will demand critical thinking skills and the ability to work in agile environments. The ability to take smart and educated risks is essential to the success of this position. This role requires close collaboration with Product, TechOps, Compliance, and Customer Support teams. This position requires great teamwork skills to help your colleagues perform better in their jobs. You will collaborate with remote teams in a multicultural environment across different geographies. You may be required to participate in and/or present on technical subjects at internal events. This position has no management responsibilities and requires an on-call rotation. This role in particular will be at the forefront of our global expansion efforts as the team is focused on helping our company open in new markets!

This position is an individual contributor and reports to the Senior Manager of Engineering.

Responsibility

Be open-minded, forward-thinking, and passionate about great software!

Architect and design components

Solve problems at scale and build fault-tolerant systems

Develop high-quality, ship-ready code that is covered by a full test suite

Enhance quality by identifying new test cases and devising efficient, scalable testing processes

Ensure design and architecture are extensible across multiple projects and conduct technical design reviews

Share and adopt the best performance and availability practices for one or more functional areas

Design and develop user interfaces and core functionalities to allow internal and third-party developers to integrate applications with our company more easily

Work with Product Management, Designer, UX Research, and other developers to understand and convert marketing requirements into design requirements and provide estimates for development

Stay updated with the latest development trends and share your findings with the team

Work as part of a cross-country development team to drive design, implementation, testing, and release of products

We are seeking an LLM Engineer to join our innovative team and contribute to the advancement of our security copilot. As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities.

What youll do:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings.
Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform.
Explore and implement novel applications of AI to enhance our automation capabilities and user experience.

As a Backend Team Lead, you will lead a team of talented and experienced engineers. You'll take ownership of a significant part of the platform, driving technical architecture and product delivery. You'll enable security teams to deploy AI security agents that autonomously manage detection, hunting, containment, and response workflows.

This role combines technical leadership with active contribution: you'll mentor your team, drive engineering excellence, and shape technical direction, tooling, and workflows to support high-scale product growth.

Your responsibilities
Lead, mentor, and grow a high-performing engineering team focused on quality and rapid delivery.
Define and evolve the technical vision and roadmap for your team.
Own end-to-end delivery of business features from concept through production, partnering with Product to ensure successful outcomes.
Drive your team to business impact, working with product and the field.

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.

The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team to bridge the gap between cutting-edge hardware and world-class open-source software. This is a high-impact role at the intersection of Hybrid Cloud and AI. You will lead the design and productization of next-generation AI solutions, focusing on the deep integration of software stack with Nvidias hardware acceleration technologies.
This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers, product teams, Nvidia engineers, and lighthouse customers.
You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to innovative AI and cloud offering . This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development.
What You Will Do:
Architect and lead the implementation of new features and joined solutions for AI & Cloud with Nvidia cutting edge technologies: GPU, DPU and more.
Explore deep code integration into various products, ensuring optimal integration between the portfolio, hardware accelerators and partners.
Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.
Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to partners and customers.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.
Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

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.

Required Senior AI-Native Software Engineer
Role summary:
You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.
As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.
Location:
Hybrid - Herzliya, Israel
Full-time
What you'll do:
Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
Use AI as your primary development tool, achieving in a day what used to take a team a week
Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
Own production readiness monitoring, alerting, and observability go in on day one
Contribute to shaping team practices, tooling, and engineering standards across the pod
Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.

Create and modify CAD models for parts/assemblies supporting design iteration. Run structural simulations (static, dynamic, vibration, fatigue, nonlinear). Drive simulation-based improvements in weight, cost, reliability. Collaborate with mechanical, thermal, electrical and system engineers. Build and validate high-fidelity models (materials, contacts, boundary conditions). Correlate simulation with TEST data and refine models/designs. Support product development from concept through prototyping, DVT/PVT and production. Apply DFM/DFA. Produce drawings, GD T and release documentation.

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)

Were growing and looking to hire a Backend Software Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.

As a Backend Software Engineer, you will be a key contributor to the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, you will help build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will tackle complex networking challenges, identity management, and high-availability systems where security and performance are equally paramount.

Responsibilities
As a Backend Software Engineer, your impact will be:
Drive Technical Ownership: Design, develop, and maintain robust secure access features, ensuring seamless integration between IT and OT networks with a security-first mindset.
Architectural Evolution: Implement and optimize scalable, high-performance gateway and proxy architectures that support global enterprise scales.
Cross-Functional Collaboration: Partner with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities.
Maintain Code Excellence: Promote best practices in code quality, security protocols, and system resilience across the company's code infrastructure.

You are a Software Data Engineer with deep experience building data-intensive systems, not a traditional ETL or BI-focused Data Engineer. In this role, you will design and build production-grade data services, platforms, and pipelines that power DIH and our AI-driven products. You will combine strong software engineering fundamentals with modern data engineering practices, with a focus on clean architecture, reliability, scalability, observability, and testing.

As a Software Data Engineer, Data Platform, you will:
Build and evolve Python-based services and pipelines that ingest raw industrial events, store them reliably, and expose clean, well-modeled tables and APIs for downstream consumers, including Digital Twin, Smart Canvas, AI agents, and analytics.
Design systems that handle duplicates, invalid data, late-arriving events, and reprocessing in a principled, incremental, and reproducible manner.
Collaborate with platform, machine learning, and product teams across Israel and globally to transform complex data challenges into robust, observable, and scalable software solutions.

We are looking for a MLOps Engineer with strong production engineering experience building and operating scalable ML and AI systems.

This is a software-first MLOps platform role focused on production reliability, ML lifecycle management, large-scale training infrastructure, operational AI systems, and reusable platform capabilities.

You will help build and scale the production platform behind our Industrial AI Workforce, enabling teams across the company to develop, evaluate, deploy, and operate ML and AI systems consistently and safely.

A Day In Your Life
Design and evolve production MLOps capabilities across the full ML lifecycle including datasets, features, models, evaluations, deployments, monitoring, retraining, and feedback signals.
Build systems for experiment tracking, artifact management, reproducibility, versioning, lineage, promotion workflows, and production readiness.
Develop reusable platform tooling, golden paths, and engineering standards that improve consistency and delivery velocity across teams.
Build operational infrastructure for LLM and agentic systems including prompts, tools, traces, evaluations, observability, safety boundaries, and production monitoring.
Design evaluation and monitoring frameworks for AI systems including answer quality, latency, grounding, reliability, and operational regressions.
Build and optimize large-scale training pipelines supporting heterogeneous data sources and scalable compute patterns.
Write clean, modular, production-grade Python services and platform libraries.
Drive engineering quality through automated testing, CI/CD, observability, deployment standards, and operational best practices.

You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.

A Day In Your Life
Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
Build production-grade GenAI services, APIs, and backend infrastructure.
Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope.
Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems.
Improve latency, reliability, fallback behavior, cost efficiency, and production readiness.
Work on customer-facing AI experiences, including conversational and proactive agentic product flows.
Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.