לוח משרות דרושים הייטק, לחיפוש זה נמצאו 4,440 משרות

We are seeking a Senior Full Stack Developer to join our Server Platform team and help develop the next generation of process control solutions for the semiconductor industry. Working closely with software, hardware, algorithm, and QA teams, you will deliver high-quality, scalable software using modern development practices and AI-powered tools such as GitHub Copilot.
Responsibilities:
Design and develop clean, maintainable C#/.NET components and services.
Integrate software workflows with hardware interfaces, algorithms and data services.
Use GitHub Copilot to accelerate implementation, refactoring, testing and debugging while taking ownership of code quality.
Write automated tests, participate in code reviews and resolve performance and reliability issues.
Deploy and troubleshoot containerized services on Kubernetes; use Python for tooling and automation.

The cyber & information security department is looking for a Security Solutions Architect to support our business and drive its growth.
As a Security Solutions Architect, you will play a pivotal role in information security department, contributing to the overall success of company. This position offers an exciting opportunity for individuals who are passionate about field and are eager to make a meaningful impact through responsibilities.
In this role, you will work closely with the IT, R&D, finance, and other departments in the company.
In this job you will have the opportunity to make big impact on the security level of the company.
Responsibilities
What will you be doing:
Develop and lead information security strategies by defining and implementing security policies, procedures, system hardening, incident response, disaster recovery, and addressing emerging cybersecurity threats and best practices.
Ensure secure project architectures by overseeing project and system designs to meet security requirements and integrating risk analysis.
Collaborate across teams by working with development, infrastructure, and security teams to resolve issues and implement improvements.
Act as a security design authority by reviewing, approving, and providing security sign‑off on solution architectures, including threat models, trust boundaries, and architecture decision records.
Participate in strategic meetings by engaging in project steering committees and regular discussions to drive security initiatives.
Conduct security reviews and risk assessments by assessing product features, technologies, and applications to meet security standards.
Plan and design security solutions by developing solutions to identify, protect, detect, respond, and recover from cyber threats.

We're looking for a Senior AI Engineer to design, build, and ship production-grade LLM agents that reason over workforce and skills data on top of Loomra's semantic layer. You won't just prototype - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily (Teams, Slack, Copilot), and iteration in front of enterprise customers. You'll work alongside product, data, and platform engineers to turn powerful capabilities into reliable, safe, and fast product experiences.
If you've built agents that actually made it to production - and you care as much about evaluation, guardrails, and reliability as you do about capability - we want to talk to you.
Responsibilities
Design and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Implement retrieval and RAG pipelines over structured and unstructured workforce data, grounded in our knowledge graph connecting people, jobs, and skills.
Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Build evaluation harnesses, guardrails, and safety/bias checks, and work within the governance engine so agents behave reliably, respect customer policies, and produce a full audit trail.
Ship agents in a model-agnostic way across providers (Anthropic, Google, IBM watsonx) and deploy them into Teams, Slack, and Copilot.
Optimize agents for latency, cost, and reliability at enterprise scale.
Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Partner closely with product, data, and platform teams to translate customer needs into agent capabilities.

We're looking for a smart and capable DevOps Engineer. You will be part of a small and agile team, working on well-built infrastructure, handling production workloads, building and maintaining infrastructure that supports continuous delivery. This job includes work across the devops stack, including agent development, CI/CD, networking, resource allocation, cloud architecture, security, developer experience, and more.
We work with enterprise customers, with the SLA and expectations that this dictates.
This position includes on-call shifts.
Our stack:
Kubernetes on AWS
Terraform and IAC
Github & Github Actions
Responsibilities
What will you DO:
Design and evolve our cloud multi-region architecture on AWS - networking, interconnects, IAM and high-availability topology - and express it entirely as code with Terraform, following GitOps as a first principle.
Build and own the CI/CD pipelines that plan, review, test and safely apply IaC changes - Policy-as-Code guardrails, drift detection and progressive rollout so infrastructure changes ship as confidently as application code.
Advance Platform-as-a-Product: build self-serve capabilities and paved paths so engineers can provision what they need
Strengthen our observability stack - metrics, logs, traces and alerting.
Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
Design and develop the next generation of AI agents to support higher pace and evolve the RnD productivity while maintaining security and engage the entire company to use AI for better solutions.

We are looking for a highly driven and experienced AI Engineer Team Leader to manage and mentor a core team of engineers while remaining 50% hands-on. In this critical role, you will lead the development of our enterprise Agentic AI platform, blending deep technical expertise in AI agent development with strong engineering leadership.
As a Team Leader, you will drive the technical agenda, plan sprints, and collaborate closely with Product Managers and cross-functional partners to turn powerful capabilities into reliable, safe, and fast product experiences. You must thrive in a high-pressure, dynamic startup environment characterized by a fast pace and frequent pivots, ensuring your team remains focused, agile, and aligned with business goals while executing at the highest level.
You won't just manage - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily, and iteration in front of enterprise customers.
Responsibilities
Team Leadership & Management (50%): Manage, mentor, and grow a team of AI and software engineers. Oversee task allocation, sprint planning, and daily agile ceremonies.
Hands-On Engineering (50%): Actively code, design, and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Technical Strategy & Architecture: Drive the technical agenda, architecture decisions, and best practices for developing scalable, LLM-driven applications grounded in our knowledge graph.
System Integration: Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Production Excellence: Build evaluation harnesses, guardrails, and safety/bias checks. Optimize agents for latency, cost, and reliability at enterprise scale. Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Cross-Functional Collaboration: Work intimately with Product Management, Data, and Design teams to translate customer needs into agent capabilities, define roadmaps, and prioritize tasks.
Agility & Execution: Lead the team through frequent pivots and rapid development cycles, ensuring high-quality delivery under pressure in a fast-paced startup environment.

we are the AI-native platform powering the era of Agentic HR. Powered by Loomra, our context engine is purpose-built for the workforce. our company lets you build any Agentic HR agent that operates in the flow of work across Slack, Microsoft Teams, Copilot, and Google Chat. Talent Redeployment, internal mobility, skills intelligence, workforce redesign, and whatever comes next.
Trusted by leading global enterprises, our company serves over 1.5 million employees across 30+ Fortune 500 companies, unlocking more than 4.8 million strategic work hours. We help organizations harness AI to unlock agility, productivity, and growth, empowering them to achieve true ROI and drive exponential productivity.
About the Role
We are seeking an experienced and passionate Senior Software Engineer to join our core engineering team. In this role, you will design, build, and scale high-performance backend services that power our enterprise Agentic AI platform. You will tackle complex technical challenges, architect robust systems, and work on cutting-edge features that seamlessly integrate AI agents into enterprise workflows.
As a Senior Software Engineer at our company, you will collaborate closely with product managers, and cross-functional engineering teams. You will take full ownership of end-to-end feature delivery from initial system design and API definition to production monitoring and optimization - ensuring our platform maintains top-tier reliability, security, and execution velocity.
Responsibilities
Design, architect, and maintain highly scalable, high-throughput backend services and distributed systems.
Take end-to-end ownership of features and projects, driving them from technical design through to deployment and monitoring.
Build and optimize core APIs and integration layers.
Write clean, testable, and maintainable code, adhering to software engineering best practices (CI/CD, code reviews, automated testing).
Drive architectural decisions, lead technical design discussions, and advocate for system performance and scalability improvements.
Troubleshoot and resolve complex production issues, ensuring high system availability and low latency.
Mentor and guide junior and mid-level software engineers, driving engineering excellence across the team.

Own the technical integrations that connect us with retailers systems, making sure data flows are smooth, secure, and ready for scale.

Responsibilities
Manage data integrations with POS, ERP, and other systems.
Define and document technical requirements for new onboardings.
Work with APIs, SFTP, and database connections.
Troubleshoot and resolve integration issues with engineering.
Collaborate with retailers IT teams during setup.

At our company, we work every single day to craft products that enrich peoples lives. Do you love working on challenges that no one has solved yet? Do you like changing the game? We have an opportunity for an exceptionally talented Design Verification Engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of our customers every single day.

The position is relevant to all our sites: Herzliya, Haifa and Jerusalem

In this role, you'll participate in the architecture of next-generation PHY, conduct RTL implementation of the micro-architecture, and participate in clearly defining specification, testing, and verification of the PHY design.
Work in collaboration with CAD, PD teams to implement RTL design into GDS, run various design verification flows and provide guidelines to other designers, and participate in establishing CAD and design methodologies for correct-by-construction designs

We are looking for a DevOps Engineer to own and scale the infrastructure behind our AI systems.

What you'll do
Own cluster reliability, availability, monitoring, alerting, capacity planning, and incident response.

Configure, maintain, and troubleshoot GPU servers, networking equipment, switches, InfiniBand fabrics, storage, and related infrastructure.

Deploy, maintain, and improve infrastructure around Slurm, Kubernetes, and GPU workload orchestration.

Manage and improve our cloud environment, including compute, networking, storage, IAM, security groups, cost visibility, and production infrastructure.

Build, maintain, and improve CI/CD pipelines.

Work closely with engineers to understand infrastructure bottlenecks and improve development, training, inference, and deployment velocity.

Contribute to security best practices across cloud, network, CI/CD, access control, secrets management, and production systems.

We seek a Marketing Manager to drive the strategy for assigned product portfolios within the Dimensional Metrology Division.
As part of this role, you will hold accountability for identifying future market opportunities, customer technology trends, competitive dynamics, and portfolio gaps, while building a clear 3-5-year roadmap aligned with the divisions portfolio strategy.
In this role, you will own the Product Life Cycle through Gate 2, ensuring that new product opportunities are supported by a strong market opportunity, clear customer value proposition, and robust business case before transitioning to Product Customer Management.
You will work closely with strategic customers, CTO, Advanced Technology, R&D, Product Customer Management, and the Business Group to connect market needs with future technology and product development.
Responsibilities
What will you be doing:
Develop and maintain the strategy and 3-5-year roadmap for assigned product portfolios, aligned with the divisions portfolio strategy.
Build relationships with strategic customers to understand future technology roadmaps, emerging applications, and evolving customer needs.
Monitor customer technology challenges, market dynamics, competitive positioning, and emerging technologies to identify new business opportunities, threats, and portfolio gaps.
Develop business cases, TAM, SAM, and WFE analyses, market assessments, and recommendations that support portfolio investment decisions.
Own the Market Requirements Document, including product positioning, value proposition, pricing strategy, and market segmentation.
Partner with CTO, Advanced Technology, R&D, Product Customer Management, and the Business Group to align market needs with future technology and product development.
Present market analyses, business cases, and portfolio recommendations to support product and investment decisions.
Translate market and customer insights into clear priorities that help shape future product opportunities.

We are looking for a Deep Learning Engineer to help design, implement, optimize, and scale the training and inference systems behind our models.

What you'll do
Collaborate with cross-functional teams to bring research breakthroughs into production environments.

Build tools, abstractions, and infrastructure that make model training, evaluation, and deployment faster and more reliable.

Analyze and overcome performance and scalability challenges in large-scale distributed training.

Debug complex issues across the full ML stack: data loading, model code, distributed execution, GPU utilization, memory usage, networking, checkpointing, and serving.

Work with modern training and inference frameworks such as Megatron, TorchTitan, PyTorch, and vLLM.

We are seeking talented, creative and disciplined engineers to join the best-in-class team that plays a significant part in the development of new silicon for our eco-systems by engaging in a dynamic, highly collaborative environment with the focus on the following goals.

Deep understanding of components/modules within wireless communication systems and the corresponding calibration and impairment reduction techniques - Develop methods/algorithms to alleviate hardware induced impairments by calibration, cancellation and other applicable techniques - PHY firmware architecture and design, including calibrations, real-time processing flows, collaboration with RF hardware, microcode, and MAC layer.

Develop highly efficient designs delivering outstanding performance, optimizing power and memory footprints while meeting hard-realtime latency requirements.

Debug real-time systems with limited visibility, working hands-on with development boards and lab equipment.

Collaborate with Radio, MAC, and Systems engineering teams to architect, define and implement innovative algorithms, calibrations, and protocols.

Support pre-silicon validation efforts, including simulation, emulation, and FPGA prototyping.

Develop SoC test and calibration capabilities for chip, module, and product factories.

Support post-silicon bringup, validation, performance characterization, system integration and debugging. - Repeatedly measure and optimize results using various test harnesses - Automate calibration and verification processes