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As a Sales Engineer at our company, you will act as the technical expert and trusted advisor throughout the sales cycle. Youll partner closely with Sales, Product, and Engineering to demonstrate our companys value, translate customer needs into technical solutions, and help close strategic deals.
Responsibilities:
Partner with Account Executives throughout the full sales cycle, from discovery to close
Lead technical discovery calls to understand customer environments, challenges, and requirements
Deliver compelling product demos and presentations tailored to customer use cases
Design and explain technical solutions that align with customer needs and business goals
Answer technical questions, handle objections, and support RFPs / security questionnaires
Act as the voice of the customer, providing feedback to Product and Engineering teams
Support proof of concepts (POCs) and trials, ensuring successful evaluations
Stay up to date on our companys product, roadmap, and competitive landscape.

As a Technical Account Manager (TAM) at our company, you will serve as a trusted technical advisor to our customers, helping them successfully adopt and maximize the value of our companys platform. Youll work closely with customers and partner with Sales, Product, and Engineering to solve technical challenges and ensure long-term customer success.
Responsibilities:
Own the technical relationship with customers from onboarding through ongoing adoption and expansion.
Guide customers through implementation, integration, and best practices.
Troubleshoot technical issues and coordinate with Engineering and Product to drive resolution.
Proactively identify risks, technical gaps, and opportunities to increase customer value.
Serve as the voice of the customer internally, translating feedback and needs into actionable insights.
Build strong relationships with both technical stakeholders and key decision-makers.

The AI VLSI department develops top notch NPU that 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 facing amazing PPAA challenges of the edge market.
In this role, as VLSI Team Leader in the AI VLSI department, you will lead a team of engineers developing cutting edge VLSI products such as - DSP, HW accelerators and AI Processors for the edge market, with full responsibility on the Front-End Design.
You will drive the development of robust, scalable, and efficient VLSI design, working closely with global Architecture, hardware simulator and Software teams to shape our companys next generation of AI solutions.
We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading VLSI Front-End Design engineers, and a track record of delivering complex, state-of-the-art products on time and in production ready quality.
The ideal candidate is execution-driven, innovative, and passionate about building high-performing team and cutting-edge AI technology.
Responsibilities
Manage and lead a team of Front-End Design engineers.
Be accountable for the teams development lifecycle, including architecture, development, validation, and release, focusing on meeting PPAA targets.
Lead development of advanced VLSI IPs for AI processors, DSP and HW accelerators while continuing pushing the VLSI design methodologies, procedures, sign off and AI tools assimilation to its next level.
Support system bring-up, debugging, and customer-facing activities when needed.

In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate our companys AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various companys processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network.
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing our company customers to run most advanced AI networks efficiently on our company NPU software simulation.

In this role, as Embedded Software Team Leader, you will lead a team owning a key part of our company's NPU AI software stack, a complex, multi-layered system spanning the Host (SDK, runtime, APIs, and UMD/KMD drivers) and the NPU IP (embedded firmware). This stack is at the heart of the company AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. Reporting to the AI Software SDK Senior Team Leader, you will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.
Responsibilities:
Lead and manage the Embedded Software engineering team, ensuring high performance and productivity.
Own the design, development, and implementation of your component within our company's NPU AI software stack, aligned with the AI Software SDK group's technical strategy, architecture, and roadmap and its automated CI and release process.
Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members.
Ensure project timelines and deliverables are met.
Conduct performance reviews and support professional development of team members.
Collaborate globally with architects, HW teams, NPU teams, and other developer teams.

In this role, you will design, optimize and develop features in the simulator.
Simulators are used daily by our architecture, algorithms, system, VLSI and QA teams - and by our company customers running the most advanced AI networks on our processors.
The development language is C/C++ (OOP) on Linux and Windows platforms.
Responsibilities:
Design and develop simulation software for our companys NPU and DSP platforms within an agile, top-notch software organization.
Perform in-depth analysis and optimization of simulator performance and accuracy across multiple our company processor architectures.
Dive into a large existing codebase to debug and deliver clever solutions to complex software challenges.
Interact and engage with architecture, algorithms, system, VLSI and QA teams, including remote design centers.

DRS RADA Technologies, a leading defense company developing and manufacturing life-saving radar systems, is seeking a Subcontractor Manager for its manufacturing facility in Beit She’an. Overall responsibility for the management, coordination, and control of subcontractor activities in Israel and abroad, including leading planning, engagement, execution, and continuous improvement processes. The role involves working with global suppliers, managing multiple internal interfaces, and ensuring compliance with quality, cost, and schedule targets. Key Responsibilities:
* End-to-end management of global subcontractors.
* Leading subcontractor onboarding, qualification, and engagement processes.
* Building and managing work plans and resource planning.
* Monitoring and controlling performance: quality and deliveries.
* Risk management and identification of gaps within the supply chain.
* Leading improvement and efficiency processes with subcontractors.
* Ongoing collaboration with internal interfaces: Procurement, Operations, Engineering, Quality, and Logistics.
* Managing and leading reports, KPIs, and analyses to support decision-making.

You will be a key contributor to our companys AI Graph Compiler software stack for NPUs, designing system-level execution flows for advanced neural networks, including LLMs.
The role focuses on L1/L2 memory management, data movement, and performance optimization, working closely with compiler and hardware architects.
What will you do:
Design and own key components of our companys AI Graph Compiler.
Develop and optimize neural network execution flows and memory management.
Enable complex AI workloads, including LLMs, and implement new NPU features.
Analyze performance bottlenecks and drive system-level optimizations.
Collaborate with compiler and hardware teams on HW-SW solutions.