דרושים » AI » AI SW Engineer (C++)

As a senior compiler engineer, you will own the design and development of our companys open source based toolchain and graph compiler. You will drive technical solutions end-to-end, deliver compiler capabilities across all our company hardware targets, and help mentor engineers. Our team embraces an AI-agentic development flow, leveraging AI coding agents to accelerate engineering productivity, and we are looking for engineers who champion this approach.
Responsibilities:
Design and develop our companys open source based toolchain targeting custom DSP and NPU architectures.
Drive design and delivery of graph compilation flows: transformations, operator mapping, and code generation.
Champion AI-agentic development practices - integrating AI coding agents into day-to-day engineering workflows.
Own complex components end-to-end, from architecture and design through implementation and delivery.
Provide technical guidance and mentorship to engineers; conduct code reviews.
Collaborate with hardware architecture, algorithms, and software teams globally.
Analyze and optimize toolchain output for performance and correctness across our company processor families.

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.

We are looking for a Senior Software Engineer to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

As part of the team, you will contribute to the DOCA SDK (Our DOCA Software Framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. You will also collaborate on the Linux Foundation's DPDK project, helping deliver industry-leading packet processing performance and scalable networking solutions.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components for programmable, high-performance pipeline execution.

Develop software abstractions and infrastructure that expose sophisticated platform capabilities in a scalable and maintainable way.

Optimize execution flow, data movement, and software performance across complex features and workloads.

Work closely with architects, customers, and engineering teams to understand requirements and deliver high-quality solutions.

Collaborate across the software stack, including applications, SDK and runtime layers, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and play a role in crafting the build of performant, maintainable software.

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, 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.

In this role, you will build deep expertise in AI fundamentals, LLM and generative AI network architectures, and their underlying algorithms. You will continuously research emerging generative AI architectures across the industry, staying ahead of how the field evolves.
A central focus will be quantization - understanding, developing, and refining quantization methods and algorithms, and driving their deployment on our hardware to achieve maximum performance without compromising accuracy.
Responsibilities:
Explore and plan end to end network deployment on our company's hardware.
Own network accuracy measurement and improvement.
Develop the graph compiler's hardware-aware quantization tool.

As a Solution Engineer, you will play a pivotal role in designing, deploying, and optimizing our companys Network Cloud AI Infrastructure solutions. This individual contributor role requires a blend of technical expertise, leadership, and hands-on experience to implement cutting-edge solutions for our customers. You will collaborate with sales engineering teams, customers, and cross-functional teams - including Product Management, Solution Architects, Engineering, and Marketing - to define technical requirements, articulate solution value, and ensure successful deployment on-site.
Key responsibilities include guiding customers through the design and deployment process, aligning technical solutions with business needs, and providing critical feedback to improve our companys product offerings. This position demands strong technical acumen, exceptional communication skills, and the ability to lead complex, high-impact projects in dynamic environments.
Responsibilities:
Design and plan rack layouts and network topologies to support customer requirements.
Perform Data Center upgrades and ensure smooth deployment of our company solutions.
Install and configure our company products, ensuring optimal performance and customer satisfaction.
Design and implement compelling Proof of Concept lab setups, run them, and collect and document the results for the field consumption
Develop and deliver HLD and LLD documentation for customer deployments.
Design and evaluate automation scripts for network operations, configuring server and switch fabrics.
Engage with sales teams and customers to ensure success with major opportunities and deployments
Introduce new products to the company sales and support teams and to company customers
Deliver technical trainings and TOIs for support/sales engineers, partners, and customers
Collaborate on product definition through customer requirement gathering and roadmap planning.

we are seeking a highly motivated and skilled Software Engineer to join our Hardware Software team. In this role, you will be responsible for the development and integration of Board Support Packages (BSP) and low-level firmware components for our carrier-grade networking solutions. Carrier-grade routers/switches designed for service providers or data center networks. The systems integrate ASICs and high-throughput backplanes supporting multi-terabit line rates. You will work closely with hardware, platform, and system architects to bring up new hardware platforms and support advanced network functionalities in high-performance environments.
Key Responsibilities:
Develop, integrate, and maintain BSP components, including bootloaders (e.g., U-Boot), device trees, and hardware abstraction layers.
Design and implement firmware and low-level drivers for network-centric hardware platforms (e.g., ASICs, NICs, SoCs, CPLDs, FPGAs).
Support hardware bring-up and board validation, collaborating with hardware engineers and system integrators.
Work on performance optimization, debugging, and stability improvements of system software on embedded Linux platforms.
Interface with third-party SDKs and adapt them to fit within our company's software infrastructure.
Ensure compliance with industry standards and best practices for networking and embedded systems.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

We are looking for an excellent Software Engineer to join the network management team. The team develops software responsible for configuring network devices. routing algorithms and performance optimizations in InfiniBand networks powering world top supercomputers. For research and testing purposes, we also develop large-scale InfiniBand network simulators.

What youll be doing:

Design and develop user-space applications responsible for simulation large scale InfiniBand networks of thousands of network devices.

Improve performance and optimize algorithms for using the simulator in Docker and cloud setups.

Collaborate with multiple teams in our multi-functional environment on developing new features/improvements.