לוח משרות דרושים הייטק תוכנה ביקנעם, לחיפוש זה נמצאו 63 משרות

Requirements:
What we need to see:

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

5+ 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:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering.

Total of 5+ years of experience developing software tools for chip design/verification.

Proficiency in software engineering, with strong debugging and system design skills.

Strong communication skills and a proactive approach to working with users and cross-functional teams.


Ways to stand out from the crowd:

2+ years of hands-on experience in chip design or verification.

Proven ability to identify quality or efficiency gaps in design/verification workflows and deliver impactful methodology or automation improvements.

Experience in leading or contributing to cross-team technical discussions to define software solutions.

Passion for building usable tools, with deep understanding of user needs, pain points, and design/verification/debug scenarios.

Proficiency in Python.

Requirements:
What we need to see:

Practical / BSc in Computer Science or Electrical/Electronics Engineering.

Clear verbal and written communication, proficient in written and spoken English.

Self-reliant individual, capable of planning and carrying out tasks within their assigned area.

Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.

Proven Experience in Python


Ways to stand out from the crowd:

Proven experience in QA - methodologies, and test design.

Working in a fast-paced environment with multiple parallel running activities.

Knowledge/experience in Networking protocols.

Knowledge of Linux/Windows OS.

Requirements:
What We Need to See:

BSc or MSc in Electrical/Computer Engineering, Computer Science, or Mathematics.

5+ years of managerial experience leading engineering teams in chip design or verification.

8+ years of industry experience in RTL design, functional verification, or related domains.

Strong understanding of chip design flows and verification methodologies.

Excellent leadership, analytical, problem-solving, and communication skills.


Ways to Stand Out from the Crowd:

Experience with formal verification tools and methodologies (e.g., JasperGold, VC Formal).

Background in assertions, coverage models, or formal testbench development.

Track record of building and scaling high-performing engineering teams.

A passion for recruiting, mentoring, and developing talent.

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/PhD in Electrical/Computer Engineering, Computer Science, or a related engineering field from leading academic institute.

12+ overall years of experience in networking, solutions/field engineering, or network architecture related to data center operations

5+ years in management role.

Deep, hands-on expertise in data center fabric design: Clos/leaf-spine topologies, BGP, L2/L3 congestion signalling, datapath configurations, and L2/L3 switching at scale.

Proven understanding of RDMA networking: RoCE v2, InfiniBand semantics, congestion control (ECN/PFC/DCQCN), and the interaction between transport behavior and AI training communication patterns (all-reduce, all-to-all).

Proven experience with customer-facing technical roles - pre-sales architecture, field engineering, critical issues, or professional services - working with major hyperscalers or CSP accounts.

Demonstrated ability to lead distributed technical teams, set direction, and deliver results in ambiguous, fast-moving environments.

Excellent communication skills; ability to present to senior technical and executive collaborators.


Ways to stand out from the crowd:

Direct experience with NVIDIA Spectrum switches, ConnectX NICs, or BlueField DPUs in production or lab environments.

Familiarity with AI/ML training frameworks (PyTorch, NCCL) and how collective communication patterns work well with network fabric design.

Background in network telemetry, observability tooling, or adaptive routing algorithms.

Experience with multi-tenant AI fabric isolation, network slicing, or traffic engineering in GPU cluster environments.

Prior collaboration with ASIC or silicon teams on network feature definition.

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:

BSc in Electrical/Computer Engineering or MSc in Mathematics, or equivalent experience.

1-3 years of relevant experience.

Excellent analytical, logical reasoning and problem-solving skills.

Strong debugging and analytical skills.

Strong communication and interpersonal skills are required.


Ways to stand out from the crowd:

Formal verification work experience.

Knowledge of digital logic.

Requirements:
What we need to see:
BSc in Electrical/Computer Engineering or MSc in Mathematics, or equivalent experience.
1-3 years of relevant experience.
Excellent analytical, logical reasoning and problem-solving skills.
Strong debugging and analytical skills.
Strong communication and interpersonal skills are required.

Ways to stand out from the crowd:
Formal verification work experience.
Knowledge of digital logic.

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:

B.Sc. in Software Engineering, Computer Engineering, Electrical Engineering, or Computer Science.

3+ years of experience in an engineering management or team leadership role, with a strong hands-on technical background. 6+ overall years of experience as an engineer.

Strong coding skills with deep understanding of OOP principles and software design.

Ability to operate effectively in a fast-paced, dynamic environment, balancing execution with continuous improvement.

Demonstrated leadership qualities - ownership, initiative, problem-solving mindset, and the ability to drive results independently and as part of a team. Excellent verbal and written communication skills in English, with the ability to clearly articulate priorities and align with stakeholders.

f
Ways to stand out from the crowd:

Deep familiarity with c++.

Familiarity with regression concepts, testing flows, and CI practices.

Knowledge of Networking protocols.

Working with Git, Gerrit, Jenkins, Docker.

Experience in working in an agile approach.

Requirements:
What we need to see:

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

8+ overall years of experience in engineering or software development, with a solid technical foundation in CAD, EDA, or circuit design environments.

3+ years of experience in team management roles in CAD or Backend design domains.

Proven ability to track, manage, and complete complex engineering activities across multiple workstreams.

Strong organizational skills, attention to detail, and excellent written and verbal communication.

Demonstrated ability to work effectively both within a focused engineering team and in cross-group, cross-site collaborative settings.

Ways to stand out from the crowd:

Background in circuit design or analysis - familiarity with sign-off domains such as STA, power integrity, IR-drop, or EM is a strong plus.

Prior experience in a formal management or team lead role.

Experience conducting or reviewing circuit studies, feasibility analyses, or design methodology evaluations.

Familiarity with EDA tools such as PrimeTime, RedHawk, or similar sign-off platforms.

Track record of successful collaboration across multiple engineering teams or organizations.

Requirements:
What we need to see:

BS, MS, or PhD in Electrical Engineering.

5+ years of working experience in DSP/Communications.

Understanding and working experience with DSP communication projects.

Excellent Matlab development skills.

A proven track record of system definition and algorithm development.

Outstanding communication, interpersonal, and analytical skills in a highly dynamic matrix organization.


Ways to stand out from the crowd:

Software development skills (C, C++, Python).

Background collaborating with VLSI teams.

Experience collaborating with analog/RF teams.

Requirements:
What we need to see:

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

You should have at least 5+ years of hands-on Full-chip layout and Physical Verification experience, demonstrating your proven expertise.

A strong background in Physical Verification methodology, including DRC / LVS / ANT / ERC / DFM in advanced process nodes is necessary.

Proficiency using Python, Tcl, Shell, Make scripting.

Experience in Linux environments.

AI tools orientation or alternatively a desire to learn.

Familiarity with physical build EDA tools, including Synopsys (ICC2/FC) and Cadence (Innovus).

Familiarity with Physical Verification tools: Synopsys (ICV), Siemens (Calibre)

Self-motivation, attention to detail, and good interpersonal skills.


Ways to stand out from the crowd:

Experience with data collection and analysis

Experience in methodology definition / flow owner of Full-chip / Place and Route

Great teammate.

Ownership, self-learning skills, and ability to work autonomously.

Requirements:
What we need to see:

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

15+ overall years of relevant professional experience in software engineering organizations, engineering operations, DevOps, integration, technical program management, process management, or system software execution roles.

Minimum of 7 years managing R&D engineers.

Proven people leadership experience, including leading teams, mentoring managers or senior engineers, setting direction, and building an operational or engineering productivity function.

Strong technical understanding of complex software systems, Linux environments, infrastructure software, integration flows, release processes, and system-level debugging.

Experience improving engineering workflows such as integration, release readiness, CI/CD, issue handling, requirements flow, secure development, vulnerability handling, or inter-team handoffs.

Excellent communication and cross-functional leadership skills, with the ability to align engineering leaders and turn ambiguous operational, technical, or usability problems into clear actions and priorities.

Ways to stand out from the crowd:

Familiarity with DOCA, BlueField DPUs, SmartNICs, cloud infrastructure, developer frameworks, data center infrastructure, or large-scale system software.

Experience leading DevOps, integration, lab, release, engineering productivity, security process, or UX/usability functions in a complex R&D organization.

Proven success improving out-of-box product experience, provisioning, deployment workflows, documentation quality, automation, or customer-facing integration flows.