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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:

Bachelor's or master's Degree in Electrical/Computer Engineering, or equivalent experience are required.

Prior 8+ years of experience in Firmware.

Strong C/C++ and OOP capabilities.

Excellent Data analysis, debugging and problem-solving skills.

Strong understanding of digital design, computer architecture, Linux, drivers and CPU/GPU/SOC architecture.

Familiar with the fundamentals of Linux scripting languages and python hands-on.

Strong analytical, debugging and problem solving skills.

Motivated and independent with strong communication skills.


Ways to stand out from the crowd:

Familiarity with FIPS certification process and crypto engines.

Coding and automation skills in scripting languages like Python.

Experience with RISCV architecture and verification.

Ability to multitask and prioritize in a fast paced environment.

Strong interpersonal and communication skills and ability to work effectively across different teams.

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:
B.Sc. in Industrial / Mechanical/ hardware engineering or equivalent experience.
5+ years of experience in PLM systems architecture, business analysis, or solution development.
Strong expertise in PLM platforms such as Windchill or Agile.
Proven record of leading PLM implementation or system harmonization projects.
Experience with BOM structure, change control, and system integration with ERP/CAD tools.
Personal skills: excellent interpersonal skills, independent, responsible, proactive, ability to lead people and tasks from end to end without authority. Strong problem-solving skills and analytical abilities, with a balance of technical and business understanding.
Working flexible hours.
Performs well in an intensive and dynamic environment.
Languages: English - Good writing and reading skills. Good verbal skills.

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

8+ overall years of software engineering experience, with at least 3 years of experience in a leadership role, managing software development teams.

Proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence.

Experienced with developing software testing tools and tests infrastructure.

Strong Python programming skills; experience building production-quality automation frameworks and tooling.

Demonstrated experience designing and operating CI/CD systems at scale (Jenkins, GitLab CI, GitHub Actions, or equivalent).

Hands-on experience with LLMs or AI-assisted developer tooling - building, integrating, or productizing AI capabilities in an engineering workflow.

Strong analytical and problem-solving skills with a bias toward measurable outcomes and data-driven decisions.


Ways to stand out from the crowd:

Deep Linux expertise: system internals, networking stack, process management, and scripting.

Prior experience building LLM-powered test analysis pipelines or AI-enhanced DevOps tooling in a real production environment.

Knowledge of networking protocols and hardware: Ethernet switching, L2/L3 protocols, QoS, VLANs, high-performance data center networking.

Experience with code coverage instrumentation in large-scale C/Python codebases and using coverage data for test prioritization.

Track record of measurably improving regression runtime, test reliability, or CI throughput in a complex embedded or systems software environment.