דרושים » הנדסה » Software Engineer -New College Grad

we are looking for a Software Engineer Infra.
Responsibilities:
- Design and develop the core infrastructure components that power our products across a large-scale distributed system.
- Own and evolve key infrastructure domains such as high-availability, data-management, security, and telemetry.
- Produce excellent software design, write clean and efficient code, and debug complex issues across the stack.
- Mentor and guide junior engineers, sharing knowledge and raising the technical bar of the team.
- Turn ambitious, out-of-the-box ideas into real, production-grade value for our customers.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

We are looking for an experienced Firmware Engineer to join the NIC Firmware team at the Yokneam site. The Firmware team develops cutting edge networking features for cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.

What you will be doing:

Work closely with the architecture and different software design teams.

Implement new features in the core of our NIC firmware in pre and post silicon environment.

Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.

Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.

You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

Required Software Engineer III, Cloud Networking
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
This Team owns the core data plane infrastructure for all NAT-based products within the Andromeda network stack (e.g., private service connect (PSC) and Cloud network address translation (NAT). These products serve as critical entry and exit gateways that securely connect Cloud customers to their services and networks.
Responsibilities
Design, develop, test, and maintain high-performance software for our Cloud's core networking and secure connectivity platforms.
Manage complex scalability, resource efficiency, and performance optimization challenges to evolve our cloud networking datapath.
Collaborate with cross-functional engineering partners to define and build new network architectures and routing methods.
Manage individual project priorities, deadlines, and deliverables, ensuring high engineering velocity and robust code quality.
Participate in operational rotations, monitor production health, and troubleshoot packet latency or connectivity issues to keep our global systems healthy.

We are looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We need an individual contributor who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.

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.

Join TNGs R&D team and take part in developing advanced LTE/5G cellular monitoring and spectrum-analysis technologies.
The role combines software development, protocol research, RF analysis, and real-world system integration in both lab and field environments.

Responsibilities include:
Development in C/C++, Python, and Bash.
Research and analysis of LTE/5G cellular protocols and RF behavior.
Building monitoring, detection, and automation tools.
Analyzing protocol data, logs, and software code.
Working with databases and query languages.
Collaborating with multidisciplinary R&D teams and participating in field activities.
Turning complex RF and protocol information into operational insights.

As a Performance Software Engineer, you will be instrumental in building the core computation software that runs on custom AI accelerators. Your work will bridge the gap between host systems and proprietary hardware, encompassing everything from a custom on-board kernels to the sophisticated tooling required for real-time debugging. You will be a key player in chip bring-up and the long-term development of high-performance computation primitives and kernels, ensuring our architecture operates with maximum efficiency and deterministic performance.

Responsibilities
Develop and optimize low-level software primitives in C/C++, assembly, and architecture-specific intrinsics, primarily for RISC-V and ARM platforms.

Implement performance-critical kernels, runtime components, hardware abstraction layers, drivers, and firmware operating in bare-metal or highly constrained environments.

Work closely with hardware architects and RTL/design teams to define and validate hardware-software interfaces, memory maps, register interfaces, interrupts, synchronization mechanisms, and boot flows.

Analyze and optimize software for latency, throughput, memory footprint, instruction count, and efficient use of processor and accelerator features.

Bring up and debug software on simulation, emulation, FPGA, and silicon platforms, including low-level hardware/software integration issues.

Develop validation tests, benchmarks, and diagnostic tools for new processor, DSP, accelerator, and SoC functionality.

Contribute to architecture decisions around ISA extensions, compiler intrinsics, memory hierarchy, DMA, cache/coherency behavior, and software-visible hardware features.

Help build an Always-On, low-overhead GPU profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ML workloads. You will be hands-on delivering our profiling solutions across system software, drivers, and CUDA to make profiling continuously available and reliable.

What youll be doing:

Develop low-overhead, high-reliability implementations in C/C++, with bounded CPU/memory budgets.

Lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.

Establish profiling models that integrate with existing ML/AI workflows (e.g., PyTorch/XLA) to turn low-level signals into actionable insights.

We're looking for an experienced Low Level Engineer to join our core team and help build the foundation of AI-powered, CVE-free container security platform.
Responsibilities:
Design and implement robust infrastructure for supporting secured assets, including our revolutionary CVE-free container images.
Build and maintain support systems for multiple Linux distributions, ensuring seamless integration with existing development workflows.
Work closely with our AI engineers, security researchers, and platform engineers to integrate low-level infrastructure with higher-level services.
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.