לוח משרות דרושים מהנדסים, לחיפוש זה נמצאו 4,142 משרות

The Research and Development team is seeking a leading Applied Innovation Architect.
The team focuses on providing technological solutions to core challenges
through technological research and driving applied innovation to bridge the gap
between core needs and technological opportunities.

We are looking for an experienced engineer to work on systems that bring together many moving parts. Inertial sensors, visual sensors, wireless radios such as UWB, Bluetooth, and Wi-Fi, GNSS, and on-device processing all come together here, and much of what these systems do emerges from the interaction between those pieces rather than from any one of them alone. Understanding that interaction is most of the work, and it is what makes the problems here genuinely interesting.

The role has two sides, and we mean both of them equally. You will help decide how a system is put together: where functionality should live, how the components talk to each other, and what we trade away to get what we need. You will also be the one who builds it, writing production code, bringing up new hardware, and chasing down the failures that only appear on real devices. We have found that these two things belong together. The best designs come from people who have built the system, and the best implementations come from people who understand the whole of it.

Responsibilities
Help define the architecture of multi-component location systems spanning hardware, firmware, and software, and implement the interfaces that hold them together.
Write, review, and maintain production-quality code in C++, Objective-C, and Swift for systems that ship to our customers.
Design and implement how inertial, visual, and wireless sensing come together into a system that behaves as one.
Integrate and bring up new hardware and software components, working through the problems that only surface on real devices.
Weigh the tradeoffs between accuracy, latency, power, memory, and reliability, and bring partner teams along with your reasoning.
Debug complex issues across the full stack, where the root cause could sit anywhere from the sensor to the application.
Take new technologies from early prototype through evaluation and into production, fusing them with our existing capabilities.
Collaborate with silicon, hardware, firmware, and algorithms teams from first concept through shipping.
Build the tooling and instrumentation that let us characterize how a system really behaves, with data rather than intuition.
Participate in evaluating new signals and technologies as our platforms continue to evolve.

As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats.  

Responsibilities
As a Software Engineer you will:

Contribute to business-critical initiatives in our Security.

Requiring deep technical skills and the ability to quickly adapt to new areas.

Improve the end-to-end lifecycle of services.

Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.

Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.

Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Leverage AI and AI-assisted engineering tools (such as GitHub Copilot) in your day-to-day work to accelerate development, automate routine tasks, and improve code quality - while exploring opportunities to integrate AI capabilities into the services you build.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
This position represents Prompt Security, our comprehensive GenAI security platform, helping enterprise organizations safely and efficiently adopt GenAI. The company was recently acquired , the AI cybersecurity leader, to further advance its Generative AI and Agentic AI security strategy.
we are seeking a Sales Engineer to join our EMEA go-to-market team. You'll be navigating an exciting landscape where innovation is constant, and the ability to adapt and iterate quickly is not just an advantage-it's a necessity. In this role, you will be instrumental in driving technical pre-sales activities, helping customers understand and implement our GenAI security solutions across various use cases. We're looking for someone who thrives in fast-paced environments, someone eager to tackle new challenges and pivot with ease. This is more than a job; it's a journey into the future of cybersecurity, offering unparalleled opportunities for growth, learning, and impact.

As a Senior AI Engineer in the MSC IL AI Innovation team, you will lead the design, development, and productization of advanced AI solutions for our Specialized Clouds, with a strong focus on sovereign-first, secure, and responsible AI systems.

You will operate as a technical leader, owning end‑to‑end AI architecture and delivery, influencing platform direction, and mentoring engineers while working closely with architects, product managers, security, and operations teams. This role goes beyond implementation; you will shape how AI is built, governed, and scaled across sovereign and regulated cloud environments.


Responsibilities

Design and build AI agents that plan, use tools/APIs, manage state/memory, and reliably complete multi-step workflows.

Own AI features from design through production, including deployment, monitoring, and live‑site reliability, with an eval-first development lifecycle: define success criteria, build evaluation datasets and automated harnesses, and run human-in-the-loop reviews where needed.

Develop and maintain prompt, retrieval, and memory strategies (system prompts, few-shot examples, tool schemas, retrieval context) with proper versioning and evaluation coverage.

Debug AI behavior using prompt analysis, data inspection, and model/tool-call traces, and translate failure patterns into targeted improvements.

Establish and track AI quality metrics (e.g., accuracy, groundedness, relevance, hallucination rate) and integrate them into CI/CD release gates.

Optimize runtime performance and economics (token usage, inference cost, latency, caching, model selection/routing, batching) and implement monitoring and continuous improvement loops (online signals, drift detection, structured user feedback).

Partner with product, design, and domain stakeholders to define use cases, acceptance criteria, and rollout plans for AI features.

Live site responsibility.

Required: Telecom Systems Engineer to lead the engineering, integration, and operation of Voice Switching, Cellular, Data Systems & telecommunications
Areas of Responsibility:
Plan the implementation and Execution of product configuration / integration work of complex systems.
Managing the integration process and collaborating with peers whenever necessary
Life cycle management & SW upgrades
Managing and assisting with projects
Ability to manage multiple tasks with changing priorities
Writing and maintaining related documentation
Troubleshooting.

we are looking for a Staff Endpoint Software Engineer, Prompt.
As a Staff Backend Software Engineer, youll build the lightweight security components that power our Generative AI Security platform. This includes developing core sensors and enforcement mechanisms that operate across diverse environments-from endpoints and browsers to production workloads-enabling real-time, adaptive security. Youll collaborate with expert engineers, tackle high-impact security challenges, and expand your expertise in AI security, helping to shape the next generation of protection at scale.

As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats.  

Responsibilities
As a Software Engineer you will:

Contribute to business-critical initiatives in our Security.

Requiring deep technical skills and the ability to quickly adapt to new areas.

Improve the end-to-end lifecycle of services.

Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.

Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.

Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Leverage AI and AI-assisted engineering tools (such as GitHub Copilot) in your day-to-day work to accelerate development, automate routine tasks, and improve code quality - while exploring opportunities to integrate AI capabilities into the services you build.

We are looking for a skilled Malware Reverse Engineer to join our group. In this role, you'll analyze emerging cyber threats, dissect sophisticated malware families, and transform your technical findings into actionable insights.

Serve as the main technical integrator between engineering disciplines, including Hardware, Embedded Software, Full-stack Software, Algorithms, RF, and other relevant domains.
Lead system-level definition and architecture of complex multidisciplinary products and features and translate product and operational needs into clear system requirements.
Drive cross-disciplinarity technical decisions, architectural trade-offs, and resolution of system-level issues.
Ensure consistency between system requirements, detailed design, implementation, integration, and verification.
Identify technical risks, gaps, interfaces, and dependencies and drive them toward resolution.
Lead system integration, troubleshooting, verification, and validation activities.

In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across Meta's product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence

In this role, you will operate as a company-level expert in product analytics, partnering with Product, Engineering, and cross-functional leadership to translate complex, large-scale behavioral data into actionable insights that shape the experiences of billions of people worldwide. You will lead the design of rigorous analytical frameworks, advance forecasting and predictive modeling capabilities, and influence the highest-priority product investments through data-driven storytelling and strategic recommendations.
Data Scientist, Product Analytics Responsibilities
Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals accurately reflect user and business value
Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
Communicate complex analytical findings to diverse audiences including product leadership and executives through concise, compelling data narratives and presentations
Contribute to functional data science strategy by proactively identifying methodological gaps, championing analytical best practices, and setting goals across teams
Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling, elevating the overall quality and rigor of the team's work
Collaborate with Data Engineering and Research partners to improve data infrastructure, eliminate bias in data collection, and ensure analytical outputs accurately represent the populations of interest

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Technical Support Engineer, you will be tasked with being a key contributor: analyzing complex customer issues, driving our cross-organizational projects, building tools that will help improve productivity, driving innovation, and more. We are seeking someone with a proven track record on a variety of platforms, focusing on Mac, Linux, K8s, cloud, mobile and AI.

ELECTRICAL ENGINEERING STUDENT (RF AND COMMUNICATION SYSTEMS)
Operating complex technological systems in operational activities
Managing the technological operation in operational activities
Operating and maintaining technological systems in the SIGINT field
Testing, installing, training, implementing, and maintaining the aforementioned systems
Accompanying cellular projects and managing the operational aspect of the project
Planning and conducting experiments with technological systems in the SIGINT field.

DRS RADA is a global pioneer in radar systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are seeking an RMA Planner to join our Project Management team in the Production Department. The role focuses on planning and tracking RMA activities, coordinating across teams, and ensuring that production work progresses according to project plans and timelines. Key Responsibilities
* Translate project work plans into production tasks in coordination with the Project Manager.
* Open and update production work orders, and support material readiness by verifying that assemblers have the required materials, work orders, and labels.
* Manage and track service calls according to project requirements.
* Schedule work in the weekly kitting plan and verify that all required materials are ready for the following week’s work plan.
* Monitor production progress and work order status, ensuring that projects and radar systems move between workstations at the required pace.
* Plan and coordinate shared project resources, including production cells and ovens, in collaboration with relevant teams.
* Identify and promptly escalate bottlenecks, delays, and blocked items to the Project Manager.
* Manage and update product trees, including disassembly and assembly processes, in coordination with relevant stakeholders.
* Track on-time delivery (OTD): daily and weekly tracking for RMA projects, as well as monthly tracking of departmental work plans in collaboration with the Production Planning Manager.
* Over time, the role may expand to include responsibility for RMA support equipment.
* Prepare the weekly kitting plan and ensure that the required materials are available and ready for the following week’s work plan.
* Track adherence to work plans and weekly OTD targets.
* Effectively manage work orders and service calls, identifying gaps and delays early.