לוח משרות דרושים מהנדסים ביקנעם, לחיפוש זה נמצאו 154 משרות

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.

Requirements:
What we need to see:

Bachelors in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.

8+ years of experience as an AI solutions engineer, machine learning engineer, or software engineer building production AI/data solutions.

Strong experience designing, developing, deploying, and maintaining end-to-end AI applications in production.

Hands-on expertise with Python and modern software engineering practices.

Practical experience with LLMs, AI agents, RAG, workflow orchestration, and data/analytics applications.

Strong background building data pipelines, APIs, services, and applications on top of structured and semi-structured engineering data.

Strong communication skills and a proactive, ownership-driven mindset.

Advantage: experience in semiconductor, hardware, product engineering, test, characterization, or manufacturing analytics environments.


Ways to stand out from the crowd:

Experience building AI solutions for engineering or manufacturing organizations.

Familiarity with agent frameworks, vector databases, telemetry platforms, or internal knowledge/data systems.

Background in cross-functional work spanning software, data, infrastructure, and product engineering.

Proven track record of introducing new technical capabilities and driving adoption across engineering teams.

Requirements:
What we need to see:

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

5+ years of software engineering experience, preferably in system software, infrastructure, validation, or performance-focused environments.

Strong programming skills in Python and at least one system-level language such as C/C++.

Experience developing automation and test infrastructure for complex hardware/software systems.

Hands-on experience running, debugging, or optimizing AI, HPC, or large-scale system workloads.

Good understanding of system-level architecture, including interactions across hardware, firmware, drivers, operating systems, and application layers

Experience working in Linux environments and with scripting, telemetry, logging, and data analysis tools.

Strong debugging and problem-solving skills, with the ability to work across multiple engineering disciplines.

Good communication skills and the ability to drive technical work in a fast-paced, cross-functional environment.

Ways to stand out from the crowd:

Experience with our platforms, GPU systems, or rack-scale AI infrastructure.

Background in power, thermal, performance, or storage/drive characterization.

Experience with workload automation, cluster orchestration, or lab infrastructure.

Familiarity with AI benchmarks, training/inference workloads, and system stress methodologies.

Experience in post-silicon validation, production testing, or system bring-up.

Requirements:
What we need to see:
B.SC./ M.SC. in Computer Engineering/Electrical Engineering/Communication Engineering.
5+ years of validated experience in ASIC Verification.
High Level of English.

Ways to stand out from the crowd:
Background in Specman.
Knowledge in HDL (Verilog/VHDL).
Knowledge in Mixed Signals, Analog, and Behavioral Models for Verification.
Knowledge in Chip boot and Infrastructures.

Requirements:
What we need to see:
B.SC./ M.SC. in Computer Engineering/Electrical. Engineering/Communication Engineering.
5+ years of practical experience.
Exposure to rtl implementation and coding.
Familiarity with verification tools.
Strong debugging, problem solving and analytical skills.
Strong communication and social skills are required.
Ability to work in a geographically diverse team environment.
Self motivated, independent and target oriented.
High Level of English.

Ways to stand out from the crowd:
Prior Design or Verification experience.
Experience in developing sophisticated design blocks.
Knowledge in Mixed Signals, Analog, and Behavioral Models for Verification.
Knowledge in Chip boot and Infrastructures.
Experience in working with back-end on area, power and timing closures.

Requirements:
What we need to see:

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

3+ years of experience as Software Engineer.

Strong and proven experience with object oriented programming languages.

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

Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision.

Great teammate with multi-tasking ability and good interpersonal skills.


Ways to stand out from the crowd:

Experience in Python programming.

Knowledge in Networking protocols.

Understanding hardware & low-level software

Requirements:
What we need to see:

B.Sc. in Electrical Engineering, Materials, Physics, Chemical Engineering, or equivalent experience.

5+ years of proven experience in Process, Integration, Device engineering, or Semiconductor manufacturing.

Strong knowledge of FAB processes, integration flows, device behaviour, and quality metrics.

Outstanding problem-solving and data analysis skills.

Experience with large datasets and correlation methodologies.

Ability to multitask, prioritize, and complete tasks under pressure.

Strong communication and presentation skills.

High ownership, autonomy, and accountability.

Familiarity with scripting/programming (Python or similar) for data analysis and workflow automation.

Passion for data systems, automation, and applying AI/ML techniques to engineering problems.


Ways to stand out from the crowd:

Experience working directly with FAB or Silicon technology supporting systems (inspection tools, OSAT, etc.).

Hands-on experience with data analysis tools (e.g., JMP).

Experience with visualization tools (e.g., Tableau, custom Python dashboards).

Experience building or using ML models for yield prediction, defect classification, or process control.

Familiarity with data platforms or semiconductor-specific data ecosystems.

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:

Possessing a bachelor's degree in Electrical Engineering or a related field.

Minimum of 8+ years of experience in hardware build and development.

Expertise in physical build top-level implementation and RTL to GDS experience.

Very good scripting capabilities.

Proven expertise in high-speed digital build and signal integrity.

Demonstrated ability to troubleshoot and solve complex hardware issues.

Excellent communication skills and a collaborative approach.

Requirements:
What We Need To See:

B.Sc. in Industrial Engineering.

At least 5 years of experience in project management.

Excellent project management skills - familiar with project management methodologies in production.

Ability to lead cross functional teams and initiatives.

Good written and verbal communication skills in English.

Personal skills: Team player, independent, responsible, capable of multi-tasking, ability to drive people and tasks, leadership qualities, excellent communication skills.



Ways To Stand Out From The Crowd:

Having experience in SW processes and backlog management experience

Experience in production facing roles.

Requirements:
What we need to see:
B.SC./ M.SC. in Electrical Engineering.
You should have at least 5+ years of hands-on Physical Design 'Place and Route' experience, demonstrating your proven expertise.
A strong background in Physical Design methodology, including Synthesis, Floorplan, CTS and Routing, is necessary.
Sign-off stages experince such as , 'STA', 'PV', 'LEC' and 'EMIR'.
In-depth knowledge of advanced silicon process technologies.
Familiarity with physical build EDA tools, including Synopsys and Cadence.
A great teammate who thrives in a collaborative environment.
AI tools orientation or alternatively a desire to learn.

Ways to stand out from the crowd:
AI prompting experience.
Experience in Linux environments.
TCL, Python, shell scripting abilities.
Experience with data collection and analysis.
Understanding of the chip and die verification process.

Requirements:
What we need to see:

B.SC./ M.SC. in Electrical Engineering.

At least 5+ years of hands-on STA experience.

Experience in Prime Time and signoff methodologies.

A great teammate who thrives in a collaborative environment.

AI tools orientation or alternatively a desire to learn.


Ways to stand out from the crowd:

Agentic Frameworks.

AI prompting experience.

Experience in Linux environments.

TCL, Python, shell scripting abilities.

Experience with data collection and analysis.