דרושים » תוכנה » Senior Software Engineer, Data Center Workloads - Infrastructure

Requirements:
What we need to see:

B.Sc. Or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

3+ years of relevant industry or research experience.

Strong machine learning or data science background, with hands-on experience in LLMs, generative AI, or deep learning systems.

Strong systems-level thinking, capable of estimating end-to-end requirements across the AI stack.

Shown ability to translate research findings and product requirements into clear software and hardware specifications.

Excellent research skills, including the ability to digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced programming skills for performance modeling, data analysis, and prototyping.

Excellent communication skills, demonstrating proficiency in presenting complex technical findings clearly and confidently.


Ways to Stand Out from the crowd:

Experience with distributed training, distributed inference, or large-scale AI serving systems.

Experience in Agentic programming, and AI tools.

Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks.

Requirements:
What we need to see:
Bachelors or Masters degree in Computer Science or Software Engineering.
Proven experience of 5+ years as a software engineer, with a focus on building complex, scalable systems.
Strong programming skills in languages such as Python, Java, C++, or similar.
Solid understanding of software design and architecture principles, with hands-on experience applying them.
Experience developing CI/CD pipelines and contributing to DevOps practices, with a strong passion for automation.
Experience with Linux virtualization (e.g., QEMU/KVM) and container orchestration platforms such as Kubernetes.
Experience working with hardware, bare-metal servers, and infrastructure environments.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.


Ways to stand out from the crowd:
Expert-level proficiency in Python programming.
Strong knowledge of one or more networking domains, such as Ethernet, VLANs, TCP/UDP/IP, QoS, and L2/L3 protocols.
Experience with software release processes, including codebase management, branching strategies, integrations, maintenance, and bug tracking.
Demonstrated ability to quickly learn, adapt, and ramp up on new technologies and domains.
Hands-on experience with advanced AI tools and frameworks, and the ability to apply them to real-world engineering challenges.

Requirements:
What we need to see:

BSc/MSc in CS/CE or related field (or equivalent experience).

At least 8 years of experience in ML engineering with a track record of deploying LLMs and agents to production at scale (including distributed environments).

Proficiency in Python and/or C++, with a deep understanding of ML/AI frameworks.

Hands-on experience with microservices, container orchestration, and cloud platforms for large-scale training and inference workloads.

Knowledge of ML training and inference optimization techniques.

Understanding of build infrastructure and CI/CD tools and practices (e.g. GitLab, GitHub Actions, Jenkins)

Experience with teaching and mentoring.

You are a proactive owner who takes pride in your work but remains humble and approachable. You believe that "how" we build is just as important as "what" we build.

Excellent collaboration skills, with the ability to explain complex infra concepts to non-technical stakeholders clearly and kindly.



Ways to stand out from the crowd:

Experience deploying and optimizing generative models and multi-agent systems for performance.

Deep systems knowledge (Linux internals, network protocols, or high-performance computing).

A background in security research, including knowledge of firewalls, intrusion detection, or network architectures.

Requirements:
What we need to see:

BSc in Computer Science, Electrical Engineering, or a related field.

3+ years of related experience in electronics development or integration.

Proven experience in Python development including access and control ICs, MCUs over I2C (Advantage).

Experience with Hardware products integration and HW lab measurement equipment.

Excellent communication skills and hands-on experience collaborating with global, cross-functional teams

Self learner, with strong motivation and a great teammate.

Ways to stand out from the crowd:

Excellent programming, HW/SW debugging and analysis skills.

Knowledge of silicon photonics, retimers, PAM4 and high-speed communication architectures.

Familiarity with hardware test development, mass-production testing, and qualification test processes.

Architectural out-of-the-box thinking, comfortable operating in a fast-changing environment, deliver short and long term solutions for challenging requirements.

Highly motivated, end-to-end problem solver with a strong ownership mindset.

Requirements:
What we need to see:
B.Sc. in Computer Science, Engineering, or a related field (or equivalent practical experience).
3+ software development experience.
Familiarity with Networking concept and protocols.
Scripting and automation skills (Bash, Python, Ansible).
Experience with version control systems (Git) and CI/CD pipelines.
Independent, fast learner with strong ownership mindset.
Excellent debugging and problem-solving skills.
Effective communication abilities, Team player, customer oriented.


Ways to stand out from the crowd:
Hands-on experience on Linux-based platform.
Background in DevOps and Network Engineering practices.
Familiarity with DevOps methodologies and tools (e.g., Jenkins, Ansible).
Hands-on experience with large-scale network architectures, switches/routers, OVS, SR-IOV, and network operating/management systems.
Networking expertise: Ethernet, VLANs, TCP/UDP/IP, QoS, L2/L3 protocols, BGP, EVPN/VXLAN, and common network topologies.

Requirements:
What we need to see:

M.Sc. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

+5 years of experience.

Strong ML/Data Science background with hands-on experience in LLMs or generative AI.

A systems-level mindset with the ability to estimate end-to-end requirements across the entire AI stack.

Proven ability to translate research and product requirements into clear software/hardware specifications.

Exceptional research skills: you can digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced Python programming skills for performance modeling and data analysis.

Excellent communication skills, with the ability to present complex findings with clarity and conviction.

A pragmatic approach: you are detail-oriented but can prioritize effectively to focus on the most critical issues.


Ways to Stand Out from the Crowd:

Deep understanding of datacenter infrastructure, network topologies, and protocols.

Expertise in distributed training methods and their impact on infrastructure.

Knowledge of AI performance metrics and the impact of different deployment strategies.

Experience extrapolating academic research into tangible hardware architecture requirements.

A track record of leading complex, multidisciplinary research projects that result in production impact.

Requirements:
What We Need to See:

BSc/MSc in Computer Science, Communication Engineering, Software Engineering, or equivalent experience.

12+ years of experience in R&D, architecture, and program management, with primary focus on product management leadership in Data Center Networking with proven track record in defining and driving both inbound and outbound product strategy across complex technologies and cross-functional organizations.

MBA or similar experience, with a balance of technical and business knowledge.

Deeply versed in hardware-accelerated networking protocols (RDMA, ETH, and more), technologies (DPDK, OVS, and more), and full Product-solutions in Data Center and Cloud environments.

Strong ability to deliver complex, Linux-based networking software frameworks and SDKs specifically architected for cloud providers, hyperscalers, and large-scale enterprise deployments.

Translate global customer and business insights into high-impact networking solutions, bridging the gap between deep technical requirements and long-term strategic goals.

Proven experience driving vision into reality by navigating complex, global organizational matrices, using exceptional communication to align cross-functional engineering and product teams.

Highly motivated, fast learner, and a team-player.


Ways to Stand Out from the Crowd:

Strong background in Data-Centre clusters and topologies, AI-driven networking, storage, security, and orchestration techniques.

Hands-on experience with networking infrastructure and DPU architecture, programmable networking pipelines, and NVIDIA technologies (CUDA, embedded solutions), with deep platform ecosystem knowledge

Proven leadership in complex hardware/software systems development, Including: SW, embedded SW, and HW. Supplying complete solutions: from the networking infrastructure, through SDKs and services, and into the application-level.

Success in partnering with Tier-1 customers on networking and cloud infrastructure deployments.

Extensive product management experience in international organizations, with a focus on adaptability and cross-cultural collaboration as well as vast experience as a R&D manager, or engineering program manager.

Requirements:
What we need to see:

BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience).

5+ years system software development and troubleshooting experience, ideally with some customer facing.

Experience developing with Python, C and C++ in kernel and/or application space and/or embedded software.

Very good familiarity with Linux (tools, utilities, kernel functionality). Hands-on experience with containers and virtualization technologies.

Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF).

Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented.


Ways to stand out from the crowd:

Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN).

Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS).

Experience with SRv6 technology, HPC, low-latency systems and performance tuning.

Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird.

Experience with AI coding tools, AI agents, etc.

Requirements:
What we need to see:

B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

5+ overall years of industry experience in system programming or related fields.

Understanding of multi core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time.

Excellent programming skills.

Ability to learn complex concepts in a fast pace environment.

A teammate with a can-do attitude, high energy and excellent interpersonal skills.


Ways to stand out from a crowd:

Familiarity with networking protocols.

Hands-on experience with CUDA programming and GPU acceleration.

Hands-on experience with LLM serving frameworks.

Experience with open-source projects (coursework, personal, or contributions).

Working in a fast-paced and dynamic environment.

Requirements:
What we need to see:
B.Sc. (or equivalent experience) in computer science/software engineering.
5+ years confirmed experience of Programming C/C++.
5+ years confirmed experience in Linux environment and tools.
Deep experience with Networking Protocols mainly Ethernet, and security protocols.
Experience with virtualization technologies.
Strong analytical, debugging, and problem-solving skills.
Deep knowledge of computer architecture and operating systems.
Experience in performance optimizations.


Ways to stand out from the crowd:
Experience leading a small team or a feature/project with multiple engineers.
Knowledge and experience in DPDK.
Knowledge and experience with designing SDKs.
Open Source Software Contributor to relevant projects (OvS, DPDK, Linux Kernel..).
A positive demeanor, a growth mindset, and excellent interactions with colleagues.