דרושים » תוכנה » AI Embedded Graph Compiler MidEnd Engineer

In this role, you will be a key contributor to the design and implementation of our companys AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.
You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of our companyNPU embedded solutions, actively promoting our company AI capabilities to the customers.
What will you do:
Own and design key components of the AI Graph Compiler software stack for NPU-based systems.
Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.
Collaborate on HW-SW co-design, influencing NPU architecture.
Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.
Mentor junior engineers and contribute to technical best practices.

In this role, you will be a key contributor to the design and implementation of our companys Edge AI software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.
You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
What will you do:
Own and design key components of the Edge AI software stack for NPU-based systems.
Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.
Collaborate on HW-SW co-design, influencing NPU architecture.
Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.
Mentor junior engineers and contribute to technical best practices.

In this role, you will be shaping the future of our companys AI software stack for Neural Processing Units (NPUs). You will lead software architecture, define performance-critical components, and enable efficient execution of advanced neural networks under tight power, memory, and latency constraints.
You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over our companys AI computing processors.
Responsibilities
Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.
Design and promote holistic software solutions incorporating various aspects of NPU handling: from network retraining, graph compiling and network inference execution on the embedded systems.
Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.
Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.
Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.
Represent our company with high technical credibility in customer meetings, appropriately incorporating feedback.
Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.
Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.
Engage with engineering leadership and product planning stakeholders to develop technology roadmap.

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on our company Neural Processing Units (NPUs) used in edge and embedded AI devices. In this role, you will work at the intersection of AI frameworks, graph optimization, and hardware acceleration, enabling efficient execution of neural networks on cutting-edge AI hardware.
You will work at the intersection of AI frameworks, compiler infrastructure, and hardware acceleration, helping translate high-level AI models into highly optimized executions on our company NPUs.
What will you do:
Develop and enhance AI graph compiler components targeting our company NPU architectures. Implement graph-level optimizations such as operator fusion, scheduling, memory planning, and layout transformations. Participate in lowering models from AI frameworks (e.g., PyTorch, ONNX, TensorFlow) into our company NPU-optimized representations. Contribute to compiler passes focused on performance, memory efficiency, and numerical correctness. Collaborate closely with hardware, runtime, and AI framework teams to achieve optimal end-to-end performance. Analyze performance bottlenecks and assist in compiler-based optimizations. Debug and resolve issues across compiler, runtime, and hardware layers. Support testing, validation, and documentation of compiler features.

Our Networking BU group is seeking to hire an expert Firmware Design Engineer for the Ethernet Switch Firmware Core team. The next generation of Switches are a crucial component of the most innovative AI and Cloud Computing Networks in the world. As a member of the Ethernet Firmware Team, you will craft and develop the firmware abstraction layer in the ETH Switch. This role will require you to participate in the design & development of firmware while working closely with hardware and architecture team to ensure timely delivery of our products to the market.
What you'll be doing:
Highly involved in the entire software development process from architecture to integration testing of firmware for the Spectrum ASIC product line.
Work with HW & ASIC team to provide insights into developing the next gen of the groundbreaking of silicon and systems.
Design and implement algorithms to improve system scale and performance.
Work with higher layer software teams to debug issues reported by customers (internal and external).
Design, implement and integrate new features according to the product roadmap.
Have a new insight on how to improve our software? Why not! Bring your ideas to life by innovating during our hackathons
Collaborate with other R&D teams around the globe.

We are expanding multiple teams across our ML SW stack and look for hardworking and motivated people to join our team. Working with the worlds best companies that build sector-leading products based on our designs. Youll share ideas with and learn new skills from the best engineers in the world. We work in small teams, and your contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI!

Responsibilities:
You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework SW, kernel/user space driver stack, real time embedded software, test automation, and performance evaluation. As an experienced engineer you are expected to be able to take the lead on larger work-packages and mentor more junior engineers. You will also be working closely with the ML HW team to achieve optimal system partitioning.

We are looking for you who have strong analytical skills, the eagerness to find innovative solutions to sophisticated problems, and are comfortable working in a fast-paced and dynamic environment. You possess excellent interpersonal skills cooperating closely in diverse teams, striving together to fulfil common targets.

We are expanding multiple teams across our ML SW stack and look for hardworking and motivated people to join our team. Working with the worlds best companies that build sector-leading products based on our designs. Youll share ideas with and learn new skills from the best engineers in the world. We work in small teams, and your contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI!

Responsibilities:
You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework SW, kernel/user space driver stack, real time embedded software, test automation, and performance evaluation. As an experienced engineer you are expected to be able to take the lead on larger work-packages and mentor more junior engineers. You will also be working closely with the ML HW team to achieve optimal system partitioning.

We are looking for you who have strong analytical skills, the eagerness to find innovative solutions to sophisticated problems, and are comfortable working in a fast-paced and dynamic environment. You possess excellent interpersonal skills cooperating closely in diverse teams, striving together to fulfil common targets.

Responsibilities
Design, develop, and maintain full stack features end-to-end-from frontend UI (Angular) through backend services (.NET / Node.js) to database and infrastructure.
Build and iterate on AI-powered product capabilities, including LLM-based coaching, conversation simulations, and intelligent analytics.
Work with LLM orchestration frameworks (e.g., LangGraph, LangChain) and cloud AI services (AWS Bedrock, OpenAI, Anthropic) to design reliable, production-ready AI pipelines.
Collaborate closely with product managers, designers, and backend engineers to translate requirements into high-quality, scalable solutions.
Design and develop responsive, performant frontend experiences using Angular, TypeScript, and modern component libraries.
Own the quality of your work-write tests, conduct code reviews, and continuously improve the codebase.
Evaluate and integrate new technologies, tools, and architectural patterns to keep our stack modern and efficient.
Troubleshoot and resolve complex technical issues across the full stack, including performance bottlenecks and integration challenges.

We are looking for a Senior HPC & AI Operation Engineer to join the Networking clusters solutions HPC/AI Infrastructure team. We are building supercomputers and AI clusters based on groundbreaking technologies. We are looking for a system administrator to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing
You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. Does this sound like you? If so, we would love to hear from you!
What you will be doing:
Deploy, manage and maintain large scale HPC/AI clusters
Managing Linux job/workload schedules and orchestration tools
Support and maintain continuous integration and delivery pipelines
Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level
Supporting Research & Development activities and engaging in POCs/POVs for future improvements.

Responsibilities
Partner with team leads to deeply understand workflows, challenges, and operational bottlenecks.
Identify opportunities for automation and AI enablement across teams.
Design and implement AI-powered internal tools and systems.
Build and maintain integrations between platforms (CRM, marketing tools, internal systems, etc.)
Develop lightweight applications and automated workflows.
Rapidly prototype solutions and iterate based on real usage.
Drive adoption and ensure solutions are practical and scalable.
Document processes and create repeatable internal standards.