דרושים » תעופה וימאות » Product Application Engineer - EO/IR UAV Payloads

We are looking for an outstanding Manager, Infrastructure Engineering - Networking to lead a high-impact infrastructure engineering team. The team develops and maintains engineering infrastructure solutions that enable R&D teams to provision, validate, test, debug, and recover complex server and networking environments at scale.

In this role, you will lead a team that provides infrastructure platforms and hands-on engineering support for internal customers across firmware, driver, hardware, software, and verification organizations. The position combines deep technical leadership with people management, execution ownership, customer support, and operational excellence in a fast-paced R&D environment. We are looking for a strong technical manager who can grow and mentor engineers, set technical direction, drive recovery of complex systems, optimize customer flows, and deliver reliable infrastructure capabilities in our scale.

What youll be doing:

Lead and grow an infrastructure engineering team responsible for bare-metal provisioning, VM infrastructure, server fleet automation, CI/CD infrastructure, customer-facing debug support, and high-performance networking environments.

Own the teams technical roadmap, priorities, execution plans, and delivery commitments across multiple infrastructure initiatives, while balancing long-term platform improvements with day-to-day customer needs.

Drive ownership of VM box inventory and lifecycle management across many Linux distributions, including image readiness, OS compatibility, package baselines, kernel configurations, provisioning flows, and production availability.

Build infrastructure capabilities that enable engineering and verification teams to run provisioning, testing, validation, and debug workflows efficiently and reliably, without positioning the team as the owner of verification itself.

Lead customer support, debug, and optimization of internal customer flows, including triage, root-cause analysis, bottleneck removal, workflow improvements, and clear communication with engineering stakeholders.

Guide complex system debug and recovery in a firmware R&D environment, including server bring-up issues, driver and firmware interactions, boot failures, networking problems, lab instability, automation failures, and environment recovery.

Provide technical leadership for Linux-based automation platforms, including server lifecycle management, OS installation, kernel configuration, driver setup, inventory management, resource allocation, observability, and production readiness.

Partner closely with firmware, driver, hardware, software, cloud, and verification teams to define requirements, improve reliability, and deliver infrastructure solutions that accelerate engineering productivity.

Required Product Line Leader Engineer
Job Description:
The Product Line Leader Engineer is responsible for defining, maintaining, and continuously improving production processes to ensure quality, efficiency, and scalability. The role focuses on process ownership, implementation of engineering methodologies, and supporting stable production while enabling yield, cycle time, and cost improvements.
Key Responsibilities:
Own and maintain production processes, process flows, and work instructions.
Define and implement production engineering methodologies to improve quality, yield, and efficiency.
Provide daily engineering support to production lines, including hands-on troubleshooting.
Lead root cause analysis for process-related issues and implement corrective and preventive actions.
Drive yield improvement, scrap reduction, and cycle time optimization initiatives.
Support introduction of new products and processes in collaboration with NPI and R&D teams.
Define process parameters, control plans, and acceptance criteria.
Lead process validation, qualification, and change management activities (ECO).
Collaborate with Quality to ensure compliance with internal and customer requirements.
Support production ramp-up, line balancing, and capacity planning activities.
Work with Maintenance and Test Engineering to ensure equipment and test readiness.
Drive standardization and best practices across production lines.

Our HW team in Israel is looking for an experienced system/board designer to join the Hardware Switch Group. The team leads the development of networking infrastructure for our next-generation data centers focusing on accelerated performance while enabling optimized end to end GPU connectivity.

What you'll be doing:

Perform board bring-up, hardware validation, characterization, and system-level debugging in the lab.

Debug issues involving power, signal integrity, interfaces, components, firmware interactions, and system behavior.

Support productization, production-line stabilization, and hardware-related issues during mass production.

Read and analyze schematics, PCB layouts, component specifications, design documentation, and manufacturing data.

Define test strategies, develop validation plans, execute test procedures, and improve coverage and efficiency.

Collaborate closely with electrical, mechanical, thermal, firmware, software, system, manufacturing, and quality teams throughout the product lifecycle.

Provide technical leadership and hands-on support for critical hardware issues.

The Networking Application Engineering team is looking for a motivated, experienced Senior Hardware Engineer who thrives at the intersection of hardware performance, ecosystem validation, and ODM/OEM partnerships. In this high-impact role, you will own critical qualification tooling, drive the design-in process with leading hardware partners, and collaborate across םור R&D organization to accelerate hardware resolutions at scale. Your work will directly influence the quality and velocity of next-generation networking hardware reaching the world's most advanced data centers and supercomputers.

What You'll Be Doing:

Own and lead the Hardware Performance and Qualification tooling suite, driving continuous improvement in test coverage, automation, and accuracy in collaboration with leading ODMs and OEMs.

Drive the design-in process with top-tier ODM and OEM partners, ensuring seamless hardware integration and delivering best-in-class platform experiences.

Partner cross-functionally with multiple R&D departments to identify, escalate, and resolve hardware issues rapidly - reducing time-to-resolution and maintaining platform quality.

Define and execute qualification plans for new hardware platforms, validating performance, stability, and compliance across diverse system configurations.

Build and nurture trusted technical relationships with ODM/OEM engineering teams, acting as the go-to expert for hardware performance and qualification.

Provide actionable feedback to engineering and product teams based on qualification findings and partner interactions.

We are looking for a Technical Support Engineer dedicated to supporting Slurm for our customers. You will join a dedicated team of Slurm subject-matter guides, owning sophisticated support cases and helping customers run reliable, efficient, and highly scalable clusters. This role requires extensive production experience with Slurm and the ability to diagnose issues across the scheduler and the surrounding Linux, networking, storage, authentication, database, and GPU infrastructure.

What you'll be doing:

Own Slurm support cases from initial investigation through resolution for customers running production AI and HPC clusters.

Diagnose complex problems involving slurmctld, slurmd, slurmdbd, job scheduling, node management, resource allocation, accounting, authentication, and high availability.

Solve Slurm configuration and policy features, including partitions, reservations, priorities, fair-share, quality of service, backfill, preemption, GRES/TRES, cgroups, and job constraints.

Investigate performance, reliability, and scalability issues using logs, diagnostic data, configuration analysis, reproductions, and source-level debugging when required.

Isolate problems across Slurm and its surrounding dependencies, including Linux, MUNGE, databases, networking, parallel storage, containers, GPUs, and cluster-management systems.

Advise customers on Slurm configuration, upgrades, operational practices, managing system resources, and safe recovery from production incidents.

collaborate with engineering teams by producing clear technical descriptions, reproducible test cases, and well-supported defect reports.

Develop guides, knowledge-base articles, diagnostic tools, and internal training that strengthen Slurm expertise across the support organization.

We are looking for an Engineering Manager to join our Network System Validation group. You will work on system validating advanced networking solutions across our complex AI cluster environments. The group is a high-performance engineering force that treats validation as a first-class software problem. We build systems, frameworks, and benchmarks that prove our network's correctness and performance at scale. In this role you will lead the validation direction and engineering excellence of one of our technology validation teams. This is a management role for a technology leader who can own the technical roadmap and execution, mentoring a team of high-performance engineers, and push our network to its speed-of-light limits. This role combines the development of methodologies and automation tools with system validation, performance analysis, and investigation of cutting-edge AI networking technologies at scale.

What youll be doing:

Lead, mentor, and coach a team of software development and system validation engineers.

Review system and product requirements, design validation methodologies, develop comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions.

Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis.

Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution.

Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection.

Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations.

Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes.

Foster a team culture centered on software quality, accountability, and technical excellence.

Our New Product Introduction (NPI) team is growing, and we're looking for a highly motivated and diligent Engineering Vendor Manager to join us. In this critical role, you'll be responsible for the engineering management of our most strategic and technologically advanced suppliers, ensuring the highest quality and reliability of components for our groundbreaking products.

Our Networking division is a leading supplier of innovative end-to-end NVLINK, InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance, using our AI solution and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors, including high-performance computing, enterprise, data centers, cloud computing, big data, and Web 2.0.

What you'll be doing:
Lead engineering engagement with strategic and critical suppliers for new product introductions (NPI) and ongoing production, identify potential risks, critical parameters, and areas for optimization.
Define and implement clear monitoring and documentation requirements for key process steps to ensure consistency and quality.
Establish comprehensive quality criteria and outgoing quality control (OQC) procedures at suppliers prior to shipment.
Monitor and analyze supplier yield data, production metrics, and quality performance to identify trends and drive corrective actions.
Collaborate closely with internal engineering teams (Design, Product, Reliability, Quality) to ensure supplier capabilities align with product requirements.
Drive continuous improvement initiatives at suppliers to enhance process control, yield, and overall product quality.
Conduct supplier technical audits and provide mentorship on standard processes in manufacturing and quality control.
Act as the primary technical interface between us and strategic suppliers, resolving complex engineering challenges.

We are looking for a Data Center Network Deployment 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 network/system engineer 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'll be doing:
Deploy, manage and maintain large scale AI Data Centers - control, network and storage stack
Work with multiple software and hardware teams to optimize the clusters networking health and performance
Develop and implement automation scripts for network, compute and storage operations and deployments
Supporting Research & Development activities and engaging in POCs/POVs for future improvements