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Requirements:
Required Skills and Experience:
Knowledgeable in all aspects of memory circuit design, analog design, timing & power optimization, and Design for Test
Experience in memory timing & power characterization
Proficiency in Low-Power, Low-Voltage & Low-Leakage design practices
Experience in advanced geometries and understanding of different technologies (FDSOI, FinFet)
Experience with memory compilers is an advantage
Proficient in Cadence virtuoso schematic design, Spice simulators, Fast-Spice & mixed-signal simulators, High-Sigma analysis tools, Parasitic extraction & modeling, Memory characterization.

Requirements:
Required Skills and Experience:
Bachelors or Masters degree in Electrical Engineering or a related field
6+ years of experience in analog circuit design, with a proven track record of successful product launches
Strong knowledge of analog design principles and methodologies, including feedback systems and signal integrity
Proficiency in industry-standard design and simulation tools
Experience with CMOS technology, 90nm-16nm
Familiarity with mixed-signal design and signal processing concepts
Strong communication skills, with the ability to convey complex concepts to diverse audiences
Proven ability to work collaboratively in a team-oriented environment while also excelling in independent projects
A proactive and innovative mindset, eager to push the boundaries of technology
Nice to have:
Ability to model circuits using VerilogA or SystemVerilog
Familiarity with sign-off simulations (IR/EM)
Hands-on experience with layout tools
Understanding of manufacturing processes and testing methodologies related to analog circuits.

Requirements:
Required Skills and Experience:
Sc. or M.Sc. in Electrical Engineering, Physics, Materials Engineering, or a related technical field
5+ years of relevant experience in semiconductor failure analysis, fault isolation, silicon debug, memory characterization, product engineering, or a related field
Strong experience in fault isolation and root cause analysis of semiconductor devices
Ability to analyze electrical, test, and yield failure signatures and correlate them with schematics, layout, circuit behavior, and physical findings
Strong analytical and problem-solving skills, with the ability to drive complex investigations across multiple engineering disciplines
Nice to have:
Understanding memory architecture and digital/analog circuitry
Experience with non-volatile memory or advanced memory technologies such as Flash, MRAM, PCM, ReRAM, or similar technologies
Experience with memory tests, ATE, electrical characterization, yield analysis, and memory fault analysis
Familiarity with advanced fault-isolation and physical FA techniques, such as EMMI, OBIRCH, LIVA/TIVA, laser-based techniques, nanoprobing, SEM, FIB, or TEM.

Requirements:
Required Skills and Experience
Bachelors degree or higher in Computer Science, Software Engineering, EE, Information Systems, or a related field
Minimum 8+ years of experience as a Dataflow and DevOps development, Backend Engineer, Data Engineer, or similar role
Strong experience with Python
Strong SQL skills, including query optimization, indexing, stored procedures, and performance tuning
Experience with ETL/ELT processes, data pipelines, and integration between systems
Strong experience with automation scripting language (ex: Groovy), data processing, and tooling
Experience with Docker, Kubernetes, Jenkins and CI/CD frameworks
Familiar with developing in Linux and Windows environments
Experience with backup, restore, migration, monitoring, and database maintenance processes
Understanding of data security, permissions, access control, and data integrity practices
Experience with Git, Jira, and Agile development workflows
High English skills: listening, speaking, and reading (C1-2)
Nice to have:
Past experience with CloudBees, Antifactory, and integrating them into a secure system
Strong experience with relational databases such as PostgreSQL and Pgvector, MySQL, and NoSQL
Experience with cloud database services such as AWS RDS, Azure SQL, Google Cloud SQL, or similar
Experience with database schema design, data modelling, and database normalization
Experience with AI agents and AI automation
Familiarity with database replication, clustering, high availability, and disaster recovery
Experience with BI/reporting tools or data visualization platforms
Experience with backup solutions and backup strategies
Experience working in an R&D, semiconductor, embedded systems, or hardware/software engineering environment
Experience and background in MAL, datasets, and MAL Python libraries.
Experience in JAVA.

Requirements:
Must-Have Qualifications B.Sc. in Computer Science, Software Engineering, or Computer Engineering from a recognized academic university, with a strong foundation in Computer Science and software engineering principles. At least 5 years of hands-on software development experience, including significant professional experience with C ++. Strong proficiency in modern C ++, object-oriented design, software architecture, and design patterns. Experience with Windows and Linux based software development Proven experience developing, debugging, and maintaining complex production-grade software systems. Demonstrated hands-on experience using AI-assisted development tools as an integral part of professional software development, including code generation, refactoring, debugging, TEST generation, or code review. Strong analytical skills, independent problem-solving capabilities, and sound technical judgment. Experience collaborating through code reviews, technical discussions, and cross-functional development. Excellent communication skills, a collaborative mindset, and the ability to explain complex technical concepts clearly. Advantages Familiarity with AI coding agents, AI-enabled engineering workflows, and secure use of AI tools in software development. Experience developing software for Real-Time, Embedded, or performance-critical systems. Experience with additional programming languages, particularly C # and Python. Familiarity with computer vision, image processing, video pipelines, or electro-optical systems. Experience in multidisciplinary R&D environments involving hardware and software integration. Experience with Python, automated testing, CI/CD pipelines, and modern development toolchains. What Makes You a Great Fit You take ownership rather than wait for detailed instructions. You naturally raise the engineering standards of the teams you work with. You enjoy helping other engineers succeed and sharing your expertise. You can balance hands-on coding with broader technical thinking. You challenge existing approaches constructively and turn ideas into practical improvements. You are curious, adaptable, and eager to explore how AI is transforming professional software engineering Join CONTROP and help us build the next generation of advanced software solutions, while shaping a modern, high-performing engineering culture.