לוח משרות דרושים בוגרי מדעי המחשב בתל אביב יפו

Requirements:
What we need to see:

Bachelors degree or equivalent experience in computer science, engineering, or a related field.

8+ years of experience in data center or cloud infrastructure, including Linux server administration and deployment of AI / HPC workloads.

Hands-on experience with core infrastructure technologies such as Kubernetes, Docker, monitoring and observability tools (e.g., Grafana), virtualization platforms, and at least one major cloud provider (AWS, Azure, or GCP).

Solid understanding of networking and storage concepts relevant to modern AI/HPC data centers.

Demonstrated experience delivering technical training or workshops, with excellent presentation, facilitation, and English communication skills.

Ability to work effectively in a matrixed organization and collaborate with product, engineering, and enablement teams.

Ways to stand out from the crowd:

Direct hands-on experience with NVIDIA technologies such as DGX systems, GB200 / SuperPOD, InfiniBand networking, NVIDIA AI Enterprise, or related AI/HPC platforms.

Prior experience building or delivering hands-on labs that simulate data center environments, including GPUs, networking, storage, and management tools.

Relevant certifications (e.g., CKA/CKAD, cloud architect certifications, Red Hat, or advanced networking certifications).

Proven track record as a technical instructor for enterprise customers or partners, especially in AI, HPC, or large-scale infrastructure domains.

Requirements:
What we need to see:

Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.Ds is preferred. Intellectual curiosity and passion for innovation.

Experience in several verticals/industries with good knowledge and trends in the industry.

Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.

You will show a deep understanding of who and how to engage the developers product and engineering organizations with at least 8 years related experience.

5+ years experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years experience in business development activities.

Able to work independently and possess excellent communication skills to drive customer and internal engagements.

Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.

Execute and accelerate strategic decisions.

Ability to effectively deliver value propositions for specific and targeted industries.

Ensure a positive experience for external customers and partners while working cross functionally within our organization.

Ways to stand out from the crowd:

Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.

Strong technical understanding of Data Analytics, Conversational AI, Embedded System/Jetson.

Experience in network communication protocol is an added advantage.

Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions.

Excellent organizational, planning, and execution skills.

Requirements:
What we need to see:

B.A./B.Sc. in Computer Science or Electrical Engineering or equivalent experience as IT/Network Engineer.

5+ years of experience and a strong background in data center network engineering spanning servers, NICs, cabling and switches. Exceptional knowledge of ethernet networking, from switch pipelines (e.g. ACLs, forwarding rules) through networking protocols (like TCP/IP and BGP/EVPN-VxLAN) to network operating systems and their automation.

A strong customer focus and dedication to the success of our Spectrum-X customers.

More than 3 years practical experience in the world of networking products.

Strong hands-on experience of Linux based platforms.

Exceptional analytical and problem-solving skills, with a keen attention to detail, particularly in identifying and resolving networking performance issues.

Good English communication and interpersonal skills.

Ways to stand out from the crowd:

Have a passion for AI and networking.

Extensive experience of software engineering and the software development lifecycle.

Experience of NVIDIA networking technology such as Bluefield3/ConnectX NICs, Spectrum switches, and the Cumulus Linux and SONiC operating systems.

Networking certification (e.g. CCIE, JNCIE, ACE-E).

Requirements:
What we need to see:

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

10+ years of overall professional experience and 4+ years of experience managing managers or senior engineers.

Proficient in Python, C, C++ with the technical depth to guide and mentor the team.

Experience with regression systems and their optimizations.

Experience with Networking Protocols, mainly Ethernet.

Experience with virtualization technologies.

Strong analytical, debugging, and problem-solving skills with meticulous attention to detail.

Experience with embedded SW development.

Excellent interpersonal skills and the ability to multitask in a dynamic environment with shifting priorities.

Self-motivated and well-organized.

Ways to stand out from the crowd:

Advanced understanding in ethernet protocols and RDMA.

Experience with Cloud and AI workload optimization.

Proficiency in Continuous Integration (CI) methodologies and tools such as Gerrit, Jenkins, and GitLab.

Experienced in test generation and coverage methods and metrics.

Background in Linux Kernel, security protocols.

Requirements:
What We Need To See:
Bachelor's Degree or equivalent experience in Computer Science / Software Engineering / Computer Engineering / Electrical Engineering / Communication Engineering.
5+ years of experience in Python programming, with strong object-oriented design skills.
Experience with C and/or C++, especially in systems or performance-sensitive environments.
Experience debugging using debuggers (gdb), including concurrency issues (races, deadlocks...).
Solid understanding of Linux, containerized environments (e.g., Docker), and command-line tools.
Familiarity with Inter-Process Communication (IPC) mechanisms (sockets, message queues, shared memory...).
Ability to communicate complex technical ideas in simple terms.
Well-organized, proactive and capable of leading your own tasks.
Collaborative personality with a love for teamwork.

Ways to Stand Out from the Crowd:
Experience building complex simulation or emulation systems, especially those simulating hardware behaviors.
Experience with multi-platform systems spanning HW, FW, and SW.
Experience with low-level networking protocols and applications.
Knowledge of physical layer concepts.
Experience contributing to CI/CD systems and tooling (e.g., Git, Jenkins, Gerrit).

Requirements:
What we need to see:

B.Sc. degree or equivalent experience in Computer Science / Software Engineering.

2+ years of experience.

Proficient knowledge and experience in C.

Strong design, coding, analytical, debugging and problem-solving skills.

Full ownership & end-to-end responsibility.

Excellent social and written communication skills.

Ways To Stand Out From The Crowd:

Can do attitude, independency and agility.

Ability to quickly adapt to new technology and go deep into new areas.

Understanding of Networking Protocols - Ethernet, InfiniBand is an advantage.

Knowledge of Virtualization, especially with KVM/QEMU is an advantage.

Knowledge of Linux/Windows kernel and drivers development is an advantage.

Requirements:
What We Need To See:

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

5+ years of relevant industry or research experience in high-performance computing, computer architecture, or computer networks.

Hands-on programming skills in Python and/or C/C++ for system analysis, automation, and customizing benchmarks.

Excellent understanding of large-scale system behavior and the effect of distributed computing workloads on network and system performance.

Proven experience in performance analysis, benchmarking, and identifying system bottlenecks.

Exceptional analytical, problem-solving, and systems-thinking skills, with the ability to dive deep into complex software and hardware interactions.

Ability to thrive in a a fast-paced, dynamic environment and work concurrently with multiple cross-functional teams.

Ways To Stand Out From The Crowd:

Deep understanding of and hands-on experience with communication libraries such as NCCL, UCX, or MPI.

Direct experience debugging or modifying the source code of a major communication library.

Expertise in the architecture and system-level requirements of large-scale, distributed Deep Learning workloads (e.g., LLMs).

Expertise in high-performance network protocols (Ethernet, InfiniBand, RoCE) and interconnect technologies like NVLink.

Familiarity with the PyTorch ecosystem, especially for distributed workloads.

Requirements:
What we need to see:

BSC or MSC in Electrical Engineering or Computer Science or equivalent experience.

4+ years working in the semiconductor industry.

Hands-on pre-silicon verification or design experience.

Experience in building test-benches and debugging simulation failures.

Experience in scripting with Python/TCL/C/Perl/Unix Shell.

Strong interpersonal skills and ability & desire to innovate.

Ways to stand out from the crowd:

Experience with HW emulation platforms.

GPA 90+/Dean's list.

Requirements:
What we need to see:

5+ years of practical experience in firmware design and/or firmware architecture.

A B.Sc or equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science with outstanding grades.

Excellent verbal and written communication skills.

Proven ability to work in a collaborative, team-oriented environment.

Ways to stand out from the crowd:

Knowledge of Ethernet/IP technologies, cloud, or data-center technologies.

Experience in programming computer networks.

Strong understanding of system design principles.

Requirements:
What we need to see:

B.A./B.Sc. in Computer Science or Electrical Engineering or equivalent experience.

A strong background in data center network engineering spanning servers, NICs, cabling and switches.

Excellent people-management skills, both for your direct reports and to influence the wider organization, and 2+ years experience as a people manager in a software or network engineering role.

More than 8 years experience in the world of networking products.

Exceptional knowledge of ethernet networking, from switch pipelines (e.g. ACLs, forwarding rules) through networking protocols (like TCP/IP and BGP/EVPN-VxLAN) to network operating systems and their automation.

A strong customer focus and dedication to the success of our Spectrum-X customers.

Ways to stand out from the crowd:

Have a passion for AI and networking.

Extensive experience of software engineering and the software development lifecycle, ideally as an engineer or engineering manager.

Experience of our networking technology such as Bluefield3/ConnectX NICs, Spectrum switches, and the Cumulus Linux and SONiC operating systems.

Requirements:
What we need to see:
B.Sc. or equivalent experience in Computer Science or Software Engineering.
5 years experience in modern C++ / C / Rust development.
3 years experience in Linux environment and familiarity with development tools.
Deep knowledge of the TCP/IP network stack
Understanding of computer architecture and operating systems concepts

Ways to stand out from the crowd:
Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning)
Experience in programming CUDA kernels is an advantage
Familiarity with ML frameworks and LLMs
Background in parallel programming / high-performance computing / RDMA technology

Requirements:
What We Need to See:
A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent practical experience.

8+ years of significant professional experience in embedded firmware development, with a deep understanding of PCIe.

A strong foundation in computer architecture, operating systems, and object-oriented programming.

Proficiency in scripting languages like Python to automate tasks and workflows.

An innovative approach with a genuine desire to apply AI and machine learning to accelerate firmware development.

Ways to Stand Out from the Crowd:
Track record of applying AI-powered tools like Cursor to accelerate the development lifecycle.

Previous experience in a customer-facing or application engineering role.

Direct, hands-on experience with PCIe switch architecture and its firmware in high-performance applications.

Deep knowledge of hardware verification concepts and tools (e.g., C++, Python, Jenkins).

Extensive knowledge of networking protocols and the Linux operating system.

Requirements:
What we need to see:

BSc or equivalent experience in computer science, electrical engineering, or a related field.

3+ years of experience in a relevant role, focusing on infrastructure, DevOps, or simulation technologies.

Proven experience in evaluating and integrating new technologies, particularly in the AI/ML space.

Ways to stand out from the crowd:

Experience managing infrastructure for AI/ML workloads, including LLM projects.

Hands-on experience with HW architecture performance simulations tools (systemc, gem5) and workflows.

Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).

Requirements:
What we need to see:

B.Sc. degree or equivalent experience in Computer Science / Software Engineering.

4+ years of experience.

Proficient knowledge and experience in C/C++.

Strong design, coding, analytical, debugging and problem-solving skills.

Full ownership & end-to-end responsibility.

Excellent social and written communication skills.

Ways To Stand Out From The Crowd:

Can do attitude, independency and agility.

Ability to quickly adapt to new technology and go deep into new areas.

Understanding of Networking Protocols - Ethernet, InfiniBand is an advantage.

Knowledge of Virtualization, especially with KVM/QEMU is an advantage.

Knowledge of Linux/Windows kernel and drivers development is an advantage.

Requirements:
B.Sc. in Computer Science, Mathematics, or similar.
4+ years of hands-on experience in applied data science or machine learning roles.
Experience with building solutions based on agents, LLMs, generative AI, and advanced AI/ML frameworks.
Proficient in writing clean, maintainable, and efficient Python code.
Optional (preferred):
Experience with additional languages such as Java or C#.
M.Sc. in Computer Science, Mathematics, or similar.
Independent, proactive, and agile.
Skilled at problem-solving and creative solution-finding.
Strong teamwork and communication skills; thrive in highly collaborative, diverse teams.
Innovative and committed to continuous learning and staying up-to-date with the latest technologies.