לוח משרות דרושים הייטק תוכנה בתל אביב יפו

Requirements:
Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience.
5+ years of experience in RTL design.
Knowledge in network protocols and/or HPC and distributed calculations - advantage.
A team player with good communication and interpersonal skills.

Requirements:
Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience.
5+ years of experience in RTL design/dynamic verification.
Knowledge in network protocols and/or HPC and distributed calculations - advantage.
A team player with good communication and interpersonal skills.

Requirements:
What we need to see:

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

4+ years of experience as a Software Engineer.

Strong programming skills in Python.

Expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP).

Knowledge of how to tune environment for the best performance and deploy infrastructure based on innovate technologies and high-end hardware.

Strong technical abilities, problem-solving skills, coding, and design skills.

Ability to lead feature development, take full ownership and deliver independently.

Linux knowledge: have a general understanding of Linux operation system concepts.

Ways to stand out from the crowd:

Knowledge in performance testing scenarios and creation of performance reports.

Proven experience in a leadership role, with a track record of successfully leading scrums and projects.

Strong communication and interpersonal skills, with the ability to motivate and inspire others.

Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols.

Prior software testing experience, with an understanding of Software Testing Tools and Methodologies and Python expertise.

Requirements:
What we need to see:

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

2+ years of experience as a Software Engineer.

Strong programming skills in Python.

Expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP).

Knowledge of how to tune environment for the best performance and deploy infrastructure based on innovate technologies and high-end hardware.

Strong technical abilities, problem-solving skills, coding, and design skills.

Ability to lead feature development, take full ownership and deliver independently.

Linux knowledge: have a general understanding of Linux operation system concepts.

Ways to stand out from the crowd:

Knowledge in performance testing scenarios and creation of performance reports.

Proven experience in a leadership role, with a track record of successfully leading scrums and projects.

Strong communication and interpersonal skills, with the ability to motivate and inspire others.

Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols.

Prior software testing experience, with an understanding of Software Testing Tools and Methodologies and Python expertise.

Requirements:
BSc or MSc in Electrical Engineering / Computer Science or equivalent experience.

A proven track record with a minimum of 8 years of experience in high-speed optic.

Deep understanding of how to build and integrate systems with various technology components.

Proficiency in advanced system-level high-speed optic connectivity.

Excellent communication skills to effectively work with diverse teams and collaborators.

Can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn sophisticated concepts in a fast-paced environment.

Possess strong managerial, problem solving and critical thinking skills.

Attention to details on design and high focus on design quality.

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:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent experience.

2+ years of experience.

Proven experience in RTL2GDS flows and methodologies. (advantage)

Knowledge in physical design flows and methodologies (PNR, STA, physical verification). (advantage)

Deep understanding of all aspects of Physical construction and Integration.

Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).

Great teammate.

Requirements:
What we need to see:

B.Sc. in Electrical Engineering or Computer engineering or equivalent experience.

5+ years of hands on DFT/ATPG knowledge & technical experience in DFT ASIC Design and in ATPG tools.

Strong programming skills in scripting languages.

Quick learner, proactive and self-motivated, eager to learn and contribute, sense or ownership, commitment, and responsibility.

Ways to stand out from the crowd:

Knowledge of DFT including scan, MBIST, LBIST, on-chip scan compression, fault models, ATPG, and fault simulation.

Experience in Mentor TestKompress ATPG tool and retargeting flow.

Programming languages: TCL, PRL, Phyton & Unix shell scripts.

Experience with ATE and Silicon bring-up.

Requirements:
What we need to see:

5+ years of hands on DFT/ATPG experience knowledge & technical experience in DFT ASIC Design and in ATPG tools.

Strong programming skills in scripting languages.

BSc. in Electrical Engineering or Computer engineering.

Quick learner, proactive and self-motivated, eager to learn and contribute, sense or ownership, commitment, and responsibility.


Ways to stand out from the crowd:

Knowledge of DFT including scan, BIST, on-chip scan compression, fault models, ATPG, and fault simulation.

Experience in Mentor TestKompress ATPG tool and retargeting flow.

Programming languages: TCL, PRL, Phyton & Unix shell scripts.

Experience with ATE and Silicon bring-up.

Requirements:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent work experience.

3+ years of experience in physical design.

Proven experience in RTL2GDS flows and methodologies.

Knowledge in physical design flows and methodologies (PNR, STA, physical verification).

Deep understanding of all aspects of Physical construction and Integration.

Knowledge in Physical Design Verification methodology LVS/DRC.

Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).

Great teammate.

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, M.Sc, or Ph.D degree in Computer Science, Computer Engineer, or Electrical Engineer.
At least 5 years of industry or research experience in computer networks.
Excellent understanding of large-scale networks behavior and the effect of distributed computing workloads effect on the network.
Experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.
Possess strong managerial, problem solving and critical thinking skills.
Ability to work and operate in a highly dynamic environment.
Partner with multiple groups in the organization.
Ways to stand out from the crowd:
Good knowledge in network protocols - such as InfiniBand, IP, TCP and RoCE and network topologies.
Good knowledge in Python, C++.
Familiarity with HPC environments, routing algorithms, Omnet++ and NS3 simulation environments.

Requirements:
B.Sc. in Computer Science, Mathematics, Physics, or a related quantitative field (M.Sc./Ph.D. is a plus).
At least 3 years of industry experience in Machine Learning or Data Science.
Strong proficiency in Python and the data science stack (e.g.pandas, scikit-learn, pytorch/tensorflow).
Experience with NLP, Large Language Models (LLMs) and agentic frameworks - A Big Plus.
Ability to write high-quality, production-grade code and work within a software engineering workflow (CI/CD, code reviews, testing).
Fast learner with a passion for solving hard algorithmic problems.
Results-oriented mindset, can-do attitude, and a focus on delivering impact and value.

Requirements:
Experience communicating complex technical concepts to non-technical stakeholders (Product, Sales, Leadership) and influencing roadmap decisions.
Proven ability to take vague, high-level requirements and break them down into actionable technical roadmaps.
M.Sc. in Computer Science, Mathematics, Physics, or a related quantitative field (Ph.D. is a plus).
At least 6 years of industry experience in Machine Learning or Data Science.
Strong proficiency in Python and the data science stack (e.g.pandas, scikit-learn, pytorch/tensorflow).
Experience with NLP, Large Language Models (LLMs) and agentic frameworks - A Big Plus.
Ability to write high-quality, production-grade code and work within a software engineering workflow (CI/CD, code reviews, testing).
Fast learner with a passion for solving hard algorithmic problems.
Results-oriented mindset, can-do attitude, and a focus on delivering impact and value.