דרושים » הנדסה » senior software engineer, rdma transport

The Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.

What you'll be doing:
Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency.
System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.

the networking diagnostics team is seeking a highly motivated and experienced engineer. this person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. this position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (hpc) clusters across the world. we are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.
what you'll be doing:
design & implement: architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
performance optimization: drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and Real-Time monitoring without latency.
system diagnostics: take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
collaborative problem solving: partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
autonomous execution: own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.

We are is looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs.

As a Senior architect in the AI Networking Research team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads, AI systems communication and accelerations and much more. You will also be leading architectural and development efforts across numerous technological fields, related to the modern AI data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo, our NIXL and our UCX, tailored to the unique requirements of AI workloads.

Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving.

Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.

Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies.

Lead proof-of-concept development to evaluate and drive such technologies.

our performance group is seeking a technical nic & dpu performance research & analysis engineer to drive end-to-end performance strategy, characterization, optimization and hw offload accelerations for next-generation network interfaces and data processing units (dpus).
in this role, you will analyze and accelerate critical networking and Storage technologies and protocols powering multi nodes ai clusters. you will profile performance across the complete hardware-to-software execution stack-stretching from dpu arm cpu subsystems and pcie to high-speed rdma, spdk, and doca acceleration pipelines.
what you'll be doing:
data -path optimization: drive end-to-end benchmark plans, performance characterization, expectations and optimizations for nics and dpus deployed in distributed ai and cloud data centers.
Full-Stack profiling: profile low-level memory, pcie, host cpu, and dpu asic execution paths to identify micro-architectural stragglers, queue bottlenecks, and tail-latency outliers.
Storage & network acceleration: hands-on acceleration and offloading of Storage (spdk, nvme-of, virtio) and networking protocols (rdma/rocev2, tcp/ip, doca).
ai-assisted workflow automation: leverage ai agents, autonomous scripts, and automated regression frameworks to scale continuous performance evaluation.
cross-functional rca: partner closely with architecture, asic, firmware, and software engineering groups to conduct rigorous root cause analysis (rca) and establish performance targets for upcoming pre- and post-silicon platforms.

we are seeking a highly skilled senior performance engineer to join our performance and r&d organizations. in this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale gpu- and cpu-based clusters used in ai and high-performance computing environments. you will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. this is a fast-paced r&d environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.
what you'll be doing:
profile, benchmark, and analyze ai and hpc workloads on gpu and cpu clusters
explore performance characteristics of high-performance networking and collective communications (e.g., nccl, rdma, mpi, roce)
identify performance bottlenecks across networking, compute, memory, and system architecture
develop and enhance performance analysis, benchmarking, and diagnostic tools
define performance TEST plans and establish expectations for new technologies and platforms
collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
support telemetry collection and data refinement efforts to enable accurate performance analysis
maintain high standards for data quality, reproducibility, and traceability of performance results

We are seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for our next-generation data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead our DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink.

What you'll be doing:

Drive end-to-end performance strategy, characterization, test plans, and optimization for our next-generation AI GPU clusters, focusing on large-scale distributed training and inference workloads.

Deeply evaluate and optimize our Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms.

Work on performance research and analysis of our DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs.

Drive the strategy for performance observability and dashboards across our next-generation data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries.

Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software 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 within the doca sdk.
work closely with architects, customers, and engineering teams to understand requirements and deliver scalable, high-performance solutions.
collaborate across the software stack, including applications, virtualization, drivers, Linux Kernel, firmware, and hardware teams.
drive technical decisions and contribute to the design of performant, maintainable software.

we have been defining computer graphics, pc gaming, and accelerated computing for more than 25 years. with an outstanding legacy of innovation, driven by phenomenal technology and extraordinary people, we are looking for a distinguished engineer to help shape the future of ai infrastructure. as part of our advanced development and research efforts, you will drive technical vision and innovation across the ai software stack, spanning gpu computing, rdma, nvlink, Storage, and large-scale distributed systems. you will research next-generation system designs, influence product and platform direction, and help define how massive-scale ai environments are built, optimized, and operated through hardware-software co-design.
what you'll be doing:
research, define, and drive co-design solutions across ai software stacks involving gpu computing, rdma networking, nvlink interconnects, Storage, and large-scale distributed infrastructure
lead deep technical investigations and proof-of-concept development in areas related to distributed ai, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design
work closely with multiple teams across the company to advance next-generation ai infrastructure technologies and influence cross-stack co-design decisions
analyze end-to-end system bottlenecks and opportunities across compute, networking, memory, and Storage layers to improve performance, scalability, and efficiency
guide the design of environments that support massive-scale ai training and inference workloads in production
 we want to hear from you!
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate, including in our hiring and promotion practices, on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

the networking advanced development software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. these are emerging technologies in networking and distributed computing for the booming ai factories and data centers. they span areas such as ai neural networks, deep learning, high performance computing (hpc), Storage, cloud, sw defined network, network function virtualization, 5g nr and more. we develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading devices. the development traverses any needed component - application sw, middleware sw, os Kernel subsystems, device drivers, Embedded sw (firmware) and cuda gpu. we collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.
what you'll be doing:
lead a team of 5 engineers in the advanced technologies development
design and implement solutions throughout all layers from high level application, os and driver subsystem to firmware
work on impactful projects involving state-of-the-art high-performance computing hardware and software
provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology
collaborate with our partners and customers.

we are looking for a passionate senior software engineer to join our simulation development team. our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. you will be part of a team developing next generation nic and switch simulation, works closely with other sw r&d teams and sw architects.
what you will be doing:
design and develop advanced features simulating our world class switches
develop solutions using advanced virtualization technology
write clean, efficient and maintainable code
collaborate with team members, sw r&d, architects, chip design and fw.