לוח משרות דרושים בצפון, לחיפוש זה נמצאו 4,364 משרות

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:

A BSc or MSc or equivalent experience in Electrical Engineering, or comparable practical experience in a closely related field.

At least 12 years of product or program management experience within the semiconductor or networking industry, spanning end-to-end hardware and software systems.

Proven track record to bring deep customer and business insights to networking solutions, with a strong grasp of the needs of cloud providers, enterprises, platform integrators, and network equipment vendors.

Demonstrated expertise collaborating with leading Enterprise clients and top 5 Cloud Service Providers to successfully deliver product releases and manage large-scale deployments.

Advanced analytical skills, combined with proven experience in strong product and project management in dynamic, technical environments.

Outstanding communication skills, demonstrated in both technical and business interactions.


Ways to Stand Out from the Crowd:

Demonstrated expertise in embedded platforms, spanning hardware, system infrastructure, and application-level innovation.

Proven success partnering with global, enterprise-scale customers on networking and cloud infrastructure deployments.

Hands-on experience with NVIDIA technologies and embedded solutions, showing a deep understanding of our platform ecosystem.

Track record of leading embedded systems development, combining technical depth with impactful leadership.

History of excelling in product management within international organizations, highlighting adaptability and cross-cultural collaboration.

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. in Computer Science.

3+ years of Experience in automation infrastructure.

Strong Python programming, debugging skills, analytical and problem-solving skills!

Excellent communications skills, fluent English, self-motivated and well organized.

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


Ways to stand out from the crowd:

Knowledge with Linux.

Prior experience in operating systems.

Knowledge in SW programming, embedded SW, networking.

Experience developing AI pipelines.

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:

BS, MS, or Ph.D. in Computer Science, Electrical Engineering, or related field, or equivalent experience; Ph.D. preferred.

5+ years of experience.

Proven experience building agentic systems, LLM integrations, RAG pipelines, or workflow orchestration in production.

Strong security foundation: cryptography, PKI, key management, Root of Trust technologies, Cloud security and secure software design.

Excellent Python skills and system design abilities across software, firmware, and cloud environments.

Strong communication skills with the ability to drive cross-functional projects in a high pace organization.


Ways to stand out from the crowd:

Experience with PQC migration, cryptographic inventory, or crypto-agility programs.

Background in security automation: attacker-defender simulation, red-team tooling, SAST/DAST, or vulnerability management.

Data science experience on large-scale networking and security telemetry: anomaly detection, behavioral analytics, or risk scoring.

LLM fine-tuning expertise or open-source/research contributions in AI and security intersection.

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.