לוח משרות דרושים מהנדס מחשבים משרה מלאה, לחיפוש זה נמצאו 221 משרות

We are seeking an analytical and hands-on GNC & Simulation Engineer to pioneer the digital foundation of our interceptor platform. In this role, you will build the "digital twin" of our aerial vehicles from scratch, simulating system -level trade-offs before physical hardware is realized. You will design, implement, and validate flight control, navigation, and terminal guidance algorithms that enable small, high-speed assets to successfully intercept dynamic targets in challenging environments. Key Responsibilities system Trade Studies: Run algorithmic simulations to analyze system -level trade-offs to support systemic architectural decisions. GNC Algorithm Design: Design and implement robust algorithms terminal guidance laws (e.g., Proportional Navigation) for dynamic interceptions. Flight data Analysis: Post-process and analyze telemetry data from flight tests to validate, calibrate, and continuously improve the predictive accuracy of the simulation models.

As an Ethernet Validation Engineer, you'll own the validation strategy for high-speed Ethernet (400G/800G+) on our next-generation ASICs, ensuring they perform flawlessly before reaching millions of customers.

In this role you will set the validation strategy for HS-Ethernet, ensure the design worked well, and drive complex system debugs involving HW, FW and SW components. You will provide leadership, by driving the teams around you to raise the bar and deliver higher quality products on behalf of Amazon customers. You will set high standards for yourself and everyone you work with, and will be constantly looking for ways to improve the performance, quality, cost and reliability of AWS products and services. We are transforming an industry, and we are looking for individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities
- Own new products validation strategies for high-speed Ethernet interfaces and leading their execution.
- Support ongoing validation and integration of new products.
- Provide Annapurna Labs ASIC design, SW development, QA and architecture teams information and requirements from validation perspectives.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.

Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

In this role, as Senior Team Leader of the AI NPU Simulator, you will lead a Group developing a major part of AI simulation framework, in the core of our AI software offering. The AI NPU simulator enables the execution of state-of-the-art LLMs, Generative AI models, and neural networks with exceptional performance, impacting multiple hardware and software teams across the company.

You will drive the development of robust, scalable, and efficient simulation software, working closely with global Architecture, VLSI, and Software teams to shape next generation of AI solutions.

We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading software teams, and a track record of delivering complex, state-of-the-art products on time and with high quality. The ideal candidate is execution-driven, innovative, and passionate about building high-performing teams and cutting-edge AI technology.



Responsibilities

Manage and lead two teams (Development + Validation) .

Be accountable for the simulation lifecycle, including architecture, development, validation, and release.

Lead development of advanced simulation models for AI processors.

Own delivery of complex, multi-release roadmaps.

Ensure strong alignment between hardware design, compiler behavior, and simulation models.

Drive system-level correctness and performance accuracy.

Support system bring-up, debugging, and customer-facing activities when needed

We are looking for a CAD/Emulation Graduate Engineer to join our infrastructure team. This position is designed as an entry-level role for a recent graduate, providing hands-on experience with advanced VLSI CAD/Emulation and infrastructure



Key Responsibilities

Develop and maintain automation scripts for front-end Emulation and VLSI CAD flows and automation.

Support execution and releases of VLSI artifacts while marinating advanced CAD flows.

Assist in improving infrastructure efficiency and tool integration.

Work with version control systems and CI/CD pipelines for regression and build environments.

Own and rule top notch emulation methodologies and procedures.

Lead the development of Sensing SDK, a core software toolkit that integrates a broad set of computer vision, audio, and voice libraries, along with AI operators. The SDK is specifically designed and optimized for latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of sensing and AI platform.

Key Responsibilities:

Lead and mentor a team of software engineers developing Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

Join an agile team working on the most advanced wireless communication solutions, focused on the latest communication standards. You will define the architecture for future products and optimize modem solutions for hardware implementation.

Responsibilities:

Research and define architecture for advanced communication standards.

Define PHY System specifications and architecture for future solutions.

Define low-power architecture.

Work closely with the functional teams (Algorithm, HW/SW, RF, Validation, etc.), from early algorithm study to system validation.

Participate in integration and testing of wireless system solutions, spanning embedded SW, HW and radio.

Support customers engagement and product deployment.

We're seeking a Sr. Director, Platform to lead our software platform group - a team of ~45 engineers distributed across Israel, India, Ukraine, and the UK. This is a hands-on leadership role combining people management with technical direction, driving a cloud-native Kubernetes-based platform that powers RAN deployments globally.
You'll report to the VP of RANOps R&D and play a critical role in shaping how we build and scale our platform software.
Key Responsibilities:
Lead and develop a multi-regional engineering organization (~45 engineers) across 5 teams and 4 countries and multiple time zones
Drive technical strategy for the cell-site software platform, built on Kubernetes (EKSA/SUSE) in cloud-native architecture
Champion cross-team collaboration within the broader R&D organization
Spearhead adoption of AI-assisted development tools and workflows to accelerate engineering productivity
Improve system debuggability and observability across complex, distributed deployments
Lead modernization efforts for legacy codebases while maintaining production stability
Define and formalize team-level KPIs aligned with SAFe practices
Enhance CI/CD pipelines and automation to improve delivery velocity and quality
Balance real-time constraints, resource management, and networking requirements inherent to RAN software

We are looking for a hands-on Senior RAN Systems Engineer to lead technical evaluations and Proof-of-Concept activities across our RAN R&D organization.
You will take complex engineering questions and turn them into structured, reproducible evaluations that support clear technical decisions. You will define the scope and success criteria, analyze the relevant evidence, run the required lab, simulation, automation, or data-analysis workflows, and present clear conclusions and recommendations.
Your work will directly influence engineering priorities and help teams reach faster, better-supported technical decisions.
This is a senior individual-contributor role combining strong RAN knowledge, hands-on investigation, structured problem-solving, and end-to-end technical ownership.
What you will do:
Own selected RAN POCs and technical evaluations from initial definition through a clear, evidence-based conclusion.
Define the scope, evaluation approach, success criteria, required evidence, and execution plan.
Analyze logs, traces, configurations, software builds, test results, ticket history, and relevant lab or field data.
Run evaluations using lab environments, simulations, automation frameworks, dashboards, and other engineering tools.
Develop practical Python or shell scripts for data preparation, validation, and repeatable analysis.
Reproduce key findings, identify missing evidence, and clearly communicate assumptions, limitations, and recommendations.
Work with Development, QA, System Integration, Lab, Release, Field, and Radio teams to close technical and data gaps.
Convert recurring manual activities into reusable scripts, templates, checklists, and working practices.

we are looking for a hands-on wireless systems engineer to lead the development of a multi-RAT digital twin for our Open RAN solution. The digital twin will execute production RAN software-beginning with scheduler and MAC behavior-in a closed loop with PHY, channel, UE, traffic, and network models. It will allow engineering teams to design, evaluate, and compare features for LTE, 5G NR, and 2G without requiring a dedicated physical radio setup for every development cycle.
This is a senior individual-contributor role at the intersection of wireless systems, simulation, production software, and AI/ML. You will evolve an existing LTE end-to-end simulator into a scalable engineering platform for feature development, regression testing, performance optimization, and evidence-based pre-validation. Initial use cases include MAC scheduler and link-adaptation improvements, power control, mobility and interference scenarios, and neural-network-assisted channel estimation.
The successful candidate will understand that a useful digital twin must be both fast and trustworthy. You will define multiple fidelity levels-from rapid surrogate models to full PHY processing-and establish repeatable methods for calibrating the twin against lab or field reference data. The goal is to reduce dependence on continuous lab access while maintaining clear, measurable confidence in the simulation results.

Required Staff GPU Verification Engineer
Join our GPU Hardware Verification team in Raanana, Israel, and help shape the future of the world's most widely deployed GPU architecture - Mali. As a Staff Hardware Verification Engineer, you will play a key technical role in verifying advanced GPU components and subsystems, working alongside architects, designers and verification engineers to deliver high-quality, industry-leading graphics technology. You'll contribute to complex verification environments, solve challenging technical problems and help drive continuous improvements to our verification methodologies and flows.
Responsibilities:
Develop and execute verification plans for advanced GPU components and subsystems.
Develop and maintain AI tools, agents, and skills to support our engineering teams and workflows.
Build, maintain and enhance robust verification environments using SystemVerilog and UVM.
Apply coverage-driven, constrained-random and, where appropriate, formal verification techniques to achieve comprehensive functional coverage.
Debug complex functional issues and work closely with Design and Architecture teams to identify and resolve root causes.
Contribute to block-level and system-level verification, including environment integration and regression analysis.
Improve verification methodologies, automation, scripting and continuous integration flows to increase quality and efficiency.
Participate in verification reviews and support verification sign-off activities.
Share technical knowledge and collaborate with colleagues across the wider GPU engineering organisation.

we are the global innovator and leading solutions provider of end-to-end wireless connectivity, specializing in transport, access, and AI-powered managed & professional services. Through our commitment to excellence, we empower customers to elevate operational efficiency and enrich the quality of experience for their end users.
Our customers include service providers, utilities, public safety organizations, government agencies, energy companies, and more, who rely on our wireless expertise and cutting-edge solutions for 5G & 4G broadband wireless connectivity, mission-critical services, and an array of applications that harness our ultra-high reliability and speed. our company solutions are deployed by more than 600 service providers, as well as more than 1,600 private network owners, in more than 130 countries.
Through our innovative, end-to-end solutions, covering hardware, software, and managed & professional services, we enable our customers to embrace the future of wireless technology with confidence, shaping the next generation of connectivity and service delivery.
our company delivers extremely reliable, fast to deploy, high-capacity wireless solutions for a wide range of communication network use cases, optimized to lower TCO through minimal use of spectrum, power, real estate, and labor resources - driving simple, quick, and cost-effective network modernization and positioning our company as a leading solutions provider for the connectivity everywhere era.
System Verification & Validation Testing Engineer (V&V) - Drive end-to-end validation of complex systems and cutting-edge features. Functional and performance validation for next-gen wireless communication systems.
5G Wireless Backhaul Testing - Test and validate wireless 5G backhaul systems connecting broadband sites to the core network delivering high-speed connectivity
Codeless Automation - Design, run, and analyze automated test suites using codeless platforms to accelerate feature validation and reduce manual effort.
Failure Analysis & Debug Leadership - Lead investigations into system failures and performance issues using data-driven techniques and AI-assisted diagnostics.
Test Scenario Design & Execution - Define and execute comprehensive test plans to ensure robust functionality, scalability, and real-world resilience.
System Bring-Up & Test Setup Ownership - Build, configure, and maintain advanced test environments from the ground up
Contribute to system validating that redefines efficiency through IoT, AI integration, and advanced communication protocols.
Hybrid - 4 days onsite, 1 day remote
By joining our team, you will become a key player in our System Verification & Validation (V&V) group - where innovation meets execution.
We test the systems that power tomorrows networks: smart, wireless, and built for scale.
Also, you will enrich your experience and become a technical professional in the field of testing high-end telecommunication technology.I-POST.

We are looking for a Senior DSP Software Engineer who will lead design and implementation of our innovative signal processing algorithms on the industry cutting-edge target platform, consisting of embedded cores, DSPs, and dedicated accelerators.

What will you do:
Perform analysis, design, implementation and validation of innovative MIMO imaging radar algorithms for next generation ADAS and autonomous
vehicles on our target platform.
Participate in SW architecture design and perform signal processing algorithm porting & optimization.
Address real-time constraints in a challenging memory/compute bound framework.
Be part of a goal-oriented workgroup and dynamic research & development environment.
Work in close collaboration with CTO and SW architecture team.

We are looking for a Systems Engineer to take ownership of complex multidisciplinary systems from early definition through integration, validation, and field deployment.
In this role, you will bridge hardware, software, algorithms, sensing, and mechanical engineering, ensuring that every part of the system works together to deliver reliable performance in real-world environments. This is a hands-on position that combines technical depth with a broad system perspective, where you will work closely with a small, experienced team to solve challenging engineering problems and drive innovative