דרושים » תוכנה » software engineer - Infra & Mission Control (6125)

We are searching for a strong technical leader to own the backbone of our Networking Research capabilities. We are looking for an Engineering Manager to lead the development of our high-fidelity Network Simulation platform and the extensive on-premise infrastructure that powers it.

In this role, you will lead a team of performance simulation software engineers and DevOps/Infrastructure specialists. You will own the "Simulation-as-a-Service" product-a critical platform used by internal researchers to model next-generation data center architectures. Your mission is to ensure our simulations are accurate, performant, and accessible, while managing the large-scale compute clusters required to run them.

What you'll be doing:

Team Leadership: Manage and mentor a team of C++ software engineers and DevOps infrastructure engineers, fostering a culture of performance, reliability, and code quality.

Product Ownership (Sim-as-a-Service): Treat the internal simulation platform as a product. Work with research partners to define the roadmap, prioritize features, and ensure high availability for users.

High-Performance Simulation: Be responsible for the architecture and optimization of complex network simulation engines (C++ based), ensuring they can scale to model extensive data center topologies with high fidelity.

Infrastructure Management: Own the lifecycle of our on-premise compute clusters and servers. Drive decisions on hardware upgrades, prioritisation, and managing system resources.

DevOps & Automation: Lead the strategy for CI/CD pipelines, automated testing, and containerized deployments to ensure rapid iteration and stability of the simulation platform.

multi-functional Collaboration: Partner with the AI Agents team to expose simulation APIs, enabling agents to run experiments and gather data autonomously.

Were hiring a Full-Stack / Platform Engineer to own the interface that connects our tech to the real world - what defense users, operators, and mission teams actually see and use.

This is not a pure frontend or backend role. Youll own the full stack that powers real-time situational awareness: from backend APIs and telemetry pipelines to Command & Control dashboards and alerting surfaces. Your work is what turns a tech demo into a fieldable product - enabling tasking, live streaming and alert monitoring, post-mission review, and secure control workflows for mission-critical operations.

This isnt a narrow frontend job - its an opportunity to build the next generation of AI-powered maritime software infrastructure from the ground up, with full ownership and impact, alongside the most innovative team in the most advanced company in this space.

What Will You Do?
Build the C4I UI MVP and operational dashboards for tasking, alert review, and evidence playback.
Design and implement backend services, APIs, and real-time telemetry pipelines (WebSockets, UDP).
Manage multi-sensor data ingestion, storage, and metadata schemas for tracks, alerts, and evidence.
Implement streaming video, alert overlays, and user interaction surfaces.
Own cloud/on-prem deployment patterns, containers, CI/CD and environment configuration.
Translate operational workflows into clean, intuitive interfaces that reduce cognitive load.
Drive reliability, latency, and last-mile polish for field pilots and demos (alerting, playback, exports).
Collaborate closely with product, field, and algorithm teams to iterate fast and deliver.

Were looking for a hands-on Edge Software Engineer to join our Innovation Team and build the software backbone that connects prototype AI perception to operational deployment. This is a mid-to-senior level role focused on reliability at the edge. Youll own communication and synchronization across distributed platforms, design robust runtime architectures, and package perception pipelines into production-grade modules built for harsh real-world constraints.

This isnt a narrow backend job - its an opportunity to build the next generation of AI-powered maritime infrastructure from the ground up, with full ownership and impact, alongside the most innovative team in the most advanced company in this space.

What Will You Do?
Architect and implement containerized edge pipelines (Docker, DeepStream/Triton) for Jetson and x86.
Design and implement the edge comms stack (sync, heartbeat, telemetry).
Lead cross-functional integration with algorithm, product, and field teams.
Own the end-to-end integration of AI models into embedded systems.
Drive profiling, debugging, and performance tuning in constrained environments.
Support hardware-software integration in both lab and vessel environments.
Contribute to strategic innovation rollouts and project qualifications.

we are looking for a Senior Autonomous Driving Software Engineer
As a Senior Software Engineer, you will design, develop, and integrate core infrastructure components that power our perception and planning pipelines. Your work will ensure seamless collaboration between hardware, algorithms, and platform modules - delivering production-grade software that runs in real autonomous vehicles.
Responsibilities:
Design and develop infrastructure components to be used across multiple application groups.
Develop and maintain production-grade code for deployment on real vehicles.
Profile, debug, and optimize platform infrastructure modules for performance and reliability.
Integrate software components with hardware and other software modules to ensure seamless system operation.
Work closely with cross-functional teams (hardware, algorithms, and verification) to ensure system-level functionality.
Create and maintain clear technical documentation, including design specifications and system integration details.
Support thorough testing and validation in collaboration with verification engineers.

We are looking for a motivated and experienced Senior Software Engineer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in low-level systems programming and will excel in developing performant, efficient, and reliable software across multiple operating systems. Expertise in C++ and deep knowledge of Linux, macOS, and Windows internals are essential for this role, as you will be instrumental in building and optimizing our agent.

Key Responsibilities:

Design, implement, and optimize low-level system software components and libraries with a focus on performance and efficiency.
Analyze and debug complex issues related to operating system internals (kernel, drivers, memory management) across Linux, macOS, and Windows platforms.
Develop networking capabilities and optimize networking stack interactions within software modules.
Write clean, maintainable, and well-tested C++ code, while mentoring and reviewing peers contributions.
Collaborate closely with infrastructure, security, and product teams to design scalable and secure systems.
Contribute to CI/CD pipelines and automation workflows to streamline build, test, and deployment processes.
Develop and maintain scripting tools (e.g., Python, Bash, PowerShell) to support development and operational tasks.
Stay up to date with emerging technologies in systems programming, cybersecurity, and networking to continuously improve our solutions.

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack - including switches, hosts, smart NICs, GPUs, ROCm, and RCCL.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.
Key Responsibilities
* Design and develop software components for orchestration platforms managing AI datacenter infrastructure.
* Implement control and coordination mechanisms for compute, network, and AI acceleration resources.
* Develop backend services, APIs, and UI components using Python and modern full-stack frameworks.
* Collaborate with cross-functional teams - including networking, GPU, and system software - to integrate orchestration capabilities across multiple layers.
* Participate in architecture discussions, code reviews, and continuous integration processes.
* Contribute to testing, validation, and performance improvements of orchestration systems.
* Engage with product and customer teams to translate operational needs into effective software solutions.
Preferred Qualifications
* Exposure to **AI workloads** and GPU ecosystems (ROCm, RCCL, PyTorch, TensorFlow).
* Experience with **distributed systems, control-plane software, or cluster management frameworks**.
* Familiarity with **REST/gRPC APIs**, **microservices**, and **cloud-native architectures**.
* Background in **monitoring, telemetry, or resource scheduling systems**.
* Practical experience in **full-stack development** (React, Angular, Node.js, or equivalent).
* Experience with **test automation frameworks** (pytest, Robot Framework, etc.).

We are looking for a phenomenal engineer to join the chip simulation team for networking chips and GPUs.

This simulation platform enables our engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.

What Youll Be Doing:
Develop and maintain simulation components for the physical layer of our high-performance networking chips (e.g., GPUs, switches, NVLink, Ethernet...).
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex physical-layer behaviors in software.
Define, implement, and validate simulations of features such as link training, error injection, and transceiver behavior, making the simulation platform a go-to internal platform for development and debugging.
Extend and optimize the simulation infrastructure by contributing to CI pipelines, automated test frameworks, and regression tools.
Support internal users by debugging simulation flows and collaborating on bug resolution.
Take part in future-facing innovation by enabling simulation for next-generation devices and features.

We seek a highly motivated Network Performance Exploration Engineer to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for exploring and identifying critical network optimization opportunities across our entire hardware and software stack, analyzing how system-level changes impact application-level performance.

What Youll Be Doing:

Explore and validate end-to-end application performance, defining comprehensive test plans and critical metrics to identify optimization opportunities in both hardware and software.

Establish and maintain a comprehensive database of benchmark results, tracking performance across releases to drive data-informed decisions.

Conduct deep-dive analysis into communication libraries (like NCCL), system software, and hardware configurations to investigate performance characteristics, validate architectural theories, and identify bottlenecks.

Provide critical performance data to correlate and enhance simulation tools, ensuring our models accurately predict real-world hardware behavior.

Analyze application-level traffic patterns (e.g., LLMs) on our advanced networking fabrics to identify hardware and software optimization opportunities and tune system parameters.

Lead Proof-of-Concept (POC) projects to prototype and evaluate potential hardware and software optimizations and their impact on application performance.

We are looking for a versatile Senior Software Engineer to join our DPU Platform team. This is an opportunity to make a significant impact in a technology-driven company that powers the worlds most advanced data centers. You will use your expertise in low-level embedded Linux software and boot flows to work with global development teams, solving the complex challenges involved in delivering high-power computing platforms.

What you'll be doing:

Designing and developing low-level system software with a primary focus on bootloaders (ATF, UEFI), firmware, and hardware initialization.

Working together with hardware and design teams to drive SoC bring-up and platform enablement.

Solving complex challenges related to boot sequences, system optimization, and hardware resource management.

Supporting various internal and customer DPU projects alongside our global teams.

Taking part in all stages of the product lifecycle, with a focus on high software quality and stability.

Collaborating within a global software environment to have a broad impact across the company.

We are seeking a highly skilled Linux Kernel Engineer to join our innovative and dynamic team. In this role, you will be responsible for the development, optimization, and maintenance of Linux kernel components, device drivers, and system-level services.
You will work closely with cross-functional teams to enhance system performance, debug complex kernel-related issues, and contribute to the development of cutting-edge embedded and server-side solutions.
If you are passionate about low-level system development, Linux internals, and making a real impact on the performance and security of modern computing, we want to hear from you!
The position can be based at either Headquarters (Tel-Aviv) or Negev (Beer Sheva).
Responsibilities:
Develop, optimize, and maintain Linux kernel modules, device drivers, and system services.
Troubleshoot and debug kernel-level and low-level system issues to improve system stability and performance.
Work with Linux networking, memory management, and process scheduling to enhance system capabilities.
Integrate and customize open-source components into Linux-based environments.
Collaborate with hardware, firmware, and application teams to develop efficient and scalable solutions.
Ensure security, performance, and reliability of kernel and system services.
Conduct code reviews, testing, and debugging to maintain high-quality software development standards.
Stay up to date with the latest developments in the Linux kernel, system services, and embedded technologies.