לוח משרות דרושים בוגרי מדעי המחשב בתל אביב יפו

Requirements:
BSc in computer science or related field.

7 or more years of software development out of which 3 are in NodeJS backend.

2 or more years of solid experience with cloud computing. Preferably AWS.

Strong HO developer. Good understanding of design patterns and development methodologies.

Proficiency in: NodeJS backend, AWS, MongoDB, Redis, Microservices.

Effective written and verbal English to communicate with our international team.

Good analytical and problem-solving skills paired with the ability to develop creative and efficient solutions

Great interpersonal skills, team player that encourages people to be their best selves.

Requirements:
You are passionate about bringing impact through code.
You have a get-things-done attitude.
At least 5 years of extensive software engineering experience, preferably across a variety of technologies.
BSc in Computer Science or equivalent practical experience.
A team player with amazing verbal and written communication skills.
Passionate about product and impacting people.

Requirements:
B.Sc or M.Sc in Computer Science, Electrical Engineering, or a related field.
5+ years of hands-on experience in SW development for real-time, high-performance systems.
Strong expertise in Python/C++ development.
Hands-on experience with ROS/ROS 2.
Deep understanding of memory management, concurrency, synchronization, and low-level performance optimization.
Strong problem-solving and debugging skills at the system level.
Prior experience in system-level development at companies like NVIDIA, Intel, Qualcomm, Broadcom, Marvell, etc. strong advantage.
Background in AI model deployment on edge platforms (TensorRT, ONNX runtime) advantage.
Experience with camera/LiDAR/IMU integration and synchronization advantage.

Requirements:
BSC/ MSc in Electrical Engineering, Computer Science or other related field
Extensive knowledge of radar principles, signal processing, and performance metrics
Proficiency in programming languages such as Python, MATLAB
Analytical and problem-solving Skills
Great verbal and written communication skills.
Excellent verbal and written communication abilities, with the capability to effectively present technical information in a clear and concise manner
Attention to Detail
Strong organizational skills to efficiently manage multiple tasks and prioritize accordingly.

Requirements:
2+ years of hands-on Demonstrated experience working closely with engineering teams, managing product backlogs, making trade-off decisions, defining technical requirements, establishing success criteria, and tracking impact.

Previous technical experience in Engineering, Product Owner, Solution Engineering, Solution Architecture, Technical Services, or other related roles.

Proficient at building strong relationships with engineering and cross-functional development teams.

Excellent written and verbal communication skills.

B.A. in Computer Science, Engineering, or other related quantitative fields - an advantage.

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)