לוח משרות דרושים בוגרי מדעי המחשב בתל אביב יפו

Requirements:
Requirements:
Bachelors degree in Computer Science or related technical field.
4+ years of experience in Security Operations, Cloud Security, or similar roles.
Proven expertise with AWS / GCP and cloud security best practices.
Strong knowledge of networking (TCP/IP, DNS, VPN, routing, firewalls).
Hands-on Kubernetes security experience (RBAC, Network Policies, Secrets Management, hardening).
Deep understanding of Application Security (OWASP Top 10, API Security, secure coding).
Experience embedding security controls into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
Proficiency in scripting (Python, Bash, or Go) and infrastructure automation (Terraform, Ansible).
Familiarity with compliance frameworks (ISO 27001, SOC 2, GDPR).
Strong communication skills and ability to collaborate across technical and non-technical stakeholders.

Bonus if you have:
Relevant certifications (OSCP, CISSP).
Experience with runtime security tools(UPwind, Aqua, Sysdig).
Experience with application security tools(OX, Snyk,Oligo).

Requirements:
Requirements:
Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
At least 5 years experience as algorithm developer or researcher.
Proven track record in generative modeling, specifically diffusion-based models for image and/or video generation.
Strong proficiency in Python and deep learning frameworks such as PyTorch or JAX.
Solid understanding of probabilistic modeling, score-based generative methods, and denoising diffusion techniques.
Experience with large-scale model training and high-performance computing environments.
Publications in top AI/ML conferences or journals.

Preferred Qualifications:
Experience in latent diffusion, video generative models, or multi-modal generation (e.g., text-to-image/video).
Contributions to open-source generative modeling libraries.
Familiarity with model evaluation metrics and benchmarking protocols for generative content.
Prior experience in a startup or fast-paced R&D environment.

Requirements:
B.Sc. in computer science/information systems engineering.
5+ years of experience in data engineering (Preferably from a startup company).
Familiarity with data engineering tech stack, including ETL tools (Airflow, Spark, Flink, Kafka, Pubsub).
Strong SQL expertise, working with various databases (relational and NoSQL) such as MySQL, FireStore, Redis, and ElasticSearch.
Experience with cloud-based data warehouse solutions like BigQuery, Snowflake, and Oracle, and proficiency in working with public clouds (AWS/GCP).
Coding experience with Python.
Experience with dashboard tools.
Ability to communicate ideas and analyze results effectively, both verbally and in writing.

Requirements:
Requirements:
Bachelor's degree in Computer Science, Software Engineering, or industry equivalent.
2+ years of experience in QA & Automation.
Proficiency in scripting languages (e.g., Python, Bash).
Experience with containerization technologies (e.g., Docker, Kubernetes).
Familiarity with CI/CD pipelines (e.g., GitLab CI/CD, Jenkins).
Experience with cloud platforms (e.g., AWS, GCP).
Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Bonus if you have:
Strong understanding of the machine learning lifecycle, from experimentation to deployment and monitoring.
Experience with specific MLOps platforms or tools.
Experience in a fast-paced startup environment.

Requirements:
Requirements:
BSc in Computer Science or industry equivalent.
Backend engineer with at least 7 years of experience
Proficiency in Python and common ML frameworks.
Proven track record of leading technical teams.
Excellent communication and interpersonal skills.
Strong background in software engineering.
Experience with cloud platforms (AWS/GCP).

Bonus if you have:
Experience with MLOps platforms (MLFlow, Kubeflow).
Experience with optimizing algorithm implementations.
Experience with GPU/CPU optimizations.

Requirements:
A Masters or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
5+ years of industry experience in developing and productizing computer vision algorithms.
3+ years of experience working on major AI vision problems in detection, classification, and segmentation with a proven track record of successfully leading algorithm teams.
Experience in managing different algorithm team members such as ML & ML developers.
Experience with 3D reconstruction, stereo, geometry, and SLAM.
Experience in the fields of: Semi-supervised learning/ Unsupervised learning/ Active learning/ Reinforcement learning/ Radiance fields/ Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR - Advantage.

Requirements:
Technical Competencies:
A good understanding of HAV platforms and infrastructure (e.g. Strato, Primo or proFPGA enterprise-level systems would be preferable).
A good understanding of HAV compilation and runtime flows (e.g. Veloce or VPS would be preferable).
Practical insights into the application and usage of HAV.
Knowledge of design mapping, testbench mapping and pre-silicon validation.
Familiarity with HAV debug solutions (probes, waveforms, assertions, coverage, etc.).
Knowledge of virtual TestBench eXpress (TBX) and/or In-Circuit Emulation (ICE) use-cases.
Proficient in HDLs (Verilog/SV) for RTL design and HVLs (SV/UVM) for verification.
Strong background in functional verification, RTL synthesis, design partitioning and place-and-route.
Conversant with SoC design and architecture concepts.

Desirable Competencies:
Familiarity with data center hosting and cloud-based solutions.
Knowledge of standard interface protocols such as AMBA, PCIe, DDR, etc.
Commercial awareness of EDA companies and solutions.
Linux, Tcl/Python/shell, C/C++, DPI, SCE-MI, SystemC, UVM Connect, UVM Framework.
Simulation using Questa Sim and Visualizer.
Background in consulting or other customer services subject area.

About You:
BSc/MSc qualified in Electronic Engineering, Computer Engineering or Computer Science.
Team player and individual contributor.
Lateral thinker and problem solver with a pragmatic approach.
Excellent communication and presentation skills.
Outgoing and enthusiastic personality.
Happy to learn new technologies and methodologies when needed.
English language mandatory, other European languages beneficial.
Ability and willingness to travel including rights to work onsite within EMEA.

Requirements:
5+ years in backend or server-side development, building complex, scalable and reliable cloud based systems from scratch.
Have solid understanding in software architecture, analysis and design.
Significant experience in one or more of the following statically typed programming languages: C#, Java, Rust, C++.
Experience in one or more of the following dynamic programming languages: Python, TypeScript, JavaScript.
Experience with one or more of the following databases: PostgreSQL, MongoDB, MySQL.
Bonus Skills: Actor Model, Event Processing, Distributed Systems, Docker, Kubernetes, Cloud technologies.
B.Sc. in Computer Science or equivalent experience.

Requirements:
B.Sc. in Computer Science, Mathematics, or similar.
4+ years of hands-on experience in applied data science or machine learning roles.
Experience with building solutions based on agents, LLMs, generative AI, and advanced AI/ML frameworks.
Proficient in writing clean, maintainable, and efficient Python code.
Optional (preferred):
Experience with additional languages such as Java or C#.
M.Sc. in Computer Science, Mathematics, or similar.
Independent, proactive, and agile.
Skilled at problem-solving and creative solution-finding.
Strong teamwork and communication skills; thrive in highly collaborative, diverse teams.
Innovative and committed to continuous learning and staying up-to-date with the latest technologies.

Requirements:
Experience & Skills:
BSc in computer science/software engineering from a leading institute or IDF technological unit background.
6+ years of professional experience as a full-stack engineer on web applications and services, out of which at least 2 years in civilian high-tech industry.
3+ years of experience with NodeJS.
1+ years of experience with a modern front-end framework (React/ Vue.js/ Angular).
Experience with in-scale production with proven Single Page Application (SPAs).
TypeScript with Node.js.
Strong understanding of microservices architecture and hands-on experience designing and creating microservices using best practices.
Strong understanding of CI/CD concepts, including automation concepts.
Team player, highly effective working independently, self-motivated, detail-oriented, and organized with a can-do attitude.

Advantages:
Hands-on experience in React.
Lead Positions experience Team lead, Tech lead, Scrum master, Independent project leadership.
Design/pixel-perfect approach.
Understanding the security realm of business.
Experience with data domains (reporting, API, big data)

Requirements:
Qualifications:
Bachelor's degree in Computer Science / equivalent experience.
3+ years of experience in DevOps/Software engineering working in one or more of the big public clouds: AWS / Azure / GCP.
3+ years of experience managing an infrastructure-as-code based cloud environment (AWS CDK/CloudFormation/Terraform).
Experience with micro services methodology.
Knowledge of AWS common best practices- design, implement, and maintain scalable and reliable cloud infrastructure solutions.
Hands-on scripting skills in Bash as well as Python or Typescript.
Experience with Git & CI-CD (preferably Github Actions & ArgoCD).
Knowledge of IP networking.
Experience maintaining infrastructure that requires high availability and security.
Strong written and verbal communication skills in English and Hebrew.

Advantage:
Experience with observability platforms (e.g. EFK/ELK, CloudWatch, Datadog, SumoLogic).
Experience with Kubernetes and HELM (preferably with EKS).
Experience with service mesh technologies such as Istio.

Requirements:
Qualifications
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
8+ years of professional software engineering experience, with a strong track record of delivering production-grade distributed systems.
Deep expertise in Kubernetes, including cluster architecture, workload orchestration, and security hardening e.g. RBAC, Workload Identity, Container Runtime Security.
Hands-on experience with containers (Docker) and container orchestration platforms (AKS, EKS, GKE).

Preferred:
Proficiency in one or more programming languages such as Go, C++, C, Python, or Java.
Experience building and operating cloud-native services on Azure or other public cloud platforms.
Strong understanding of site reliability engineering (SRE) principles, including observability, incident response, and automation.
Ability to work effectively with cross-functional teams and manage multiple priorities.

Requirements:
* B.Sc. in Computer Science / Electrical Engineering / Computer Engineering.
* At least 3 years of development experience in a development team of complex enterprise systems.
* At least 2 years of experience in C / C ++ programming.
* Experience in multi-threading principles and programming.
* Experience in Python, JAVA, Linux, and Git.
* Great team player who knows when and how to push independently when needed.
* Strong communication skills.
Advantages:
* Experience in native mobile application development in Android or IOS.
* Experience Objective- C programming.
* Experience in NDK and JNI for Android.
* Experience with SDK development or integration. Advantages.
* Experience in reverse engineering for Android.
* Knowledge in Cyber security and Networking.
About the company:
Our mission is to protect every mobile app in the world and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use us to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
We are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
Bachelors degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, or Statistics.
5+ years of hands-on experience in data analysis, including at least 2 years in a team management role.
Proficiency working with SQL, and data execution frameworks or tools (Spark, Airflow, Dagster, Snowflake, etc).
Basic understanding of descriptive and inferential statistics.
Basic programming and related skills, e.g. python, git.
Can-do attitude. Problem solving skills, self-starter, proactive mindset.
High attention to detail.
Previous experience in the cybersecurity domain - an advantage.
Experience with cloud environments - an advantage.
Experience implementing automatic processes using LLMs - an advantage.

Requirements:
* A Masters or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
* 5+ years of industry experience in developing and productizing computer vision and deep learning algorithms.
* 3+ years of experience working on major AI vision problems in detection, classification, and segmentation with a proven track record of successfully leading algorithm teams
* Hands-on research and industry experience with a proven track record
* Experience in managing different algorithm team members such as ML & CV developers
* Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.).
* Experience in the fields of: Semi-supervised learning/ Unsupervised learning/ Active learning/ Reinforcement learning/ Radiance fields/ Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR - Advantage
Attributes:
* Comfortable in unexplored territory.
* Possess the skill to break down intricate problems into manageable parts, followed by proposing effective and actionable solutions.
* Maintain a steadfast focus on delivering not just insights but actionable results that have a measurable impact on the project or the organization
* Good communication skills with a can-do attitude.
* Agility and multitasking, Independent and self-motivated.
* Good time management, task prioritization skills, and accountability.
* Excellent English.
 
Why us: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, Machine Learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.