דרושים » תוכנה » Applied Scientist II - Disruption Research

Requirements:
What you have:
M.Sc in Computer Science, Mathematics, Statistics, Engineering or a related field.
4+ years of experience in applied Data Science or Algorithmic Development, preferably in large-scale production environments.
Hands-on experience in training and fine-tuning machine learning, deep learning, and AI models.
Strong programming skills in Python and proficiency in SQL.
Solid understanding of data pipelines, MLOps practices, and working with huge datasets.
Ability to mentor, collaborate, and communicate complex ideas clearly to diverse audiences.
A fast learner, problem solver, and end-to-end owner with a strong can-do approach.

Bonus Points:
Experience in the ad-tech industry or with fraud detection systems.
Familiarity with LLMs, generative AI, or representation learning for anomaly detection.
Proven track record working with large-scale distributed data systems.
Being introduced by our employee.

Requirements:
B.Sc. in Computer Science or equivalent 
4+ years of experience with SW development using Python, C# or Java.
Experience with AI models and Kubernetes
Experience with developing and operating code in the cloud on Azure / AWS / GCP 
Preferred: 
Master's degree in computer science or equivalent
Experience in GPU programming and GPU-accelerated ML workflows, including model optimization and debugging on GPU hardware
Other
Ability to build tools and infrastructure to improve shipping and ensure software quality
Strong ability in code and solution design, creating modular and reusable solutions in both code and AI infrastructures
Able to lead complex tasks in unknown territories independently and bring them to production
Skills to leverage AI in coding, testing, and building automations using tools like GitHub Copilot Agent, Cursor, Claude Code, Cline etc. 
Demonstrated ability to think creatively and out of the box

Requirements:
Strong C++ expertise
Knowledge of common data structures like linked lists, sets, maps, and graphs
Knowledge of common code optimizations and performance analysis
Experience in debugging and testing large production code bases
Ability to communicate clearly and effectively
Preferred Qualifications:
Hands-on experience developing compiler analysis and optimization passes is a big plus
Experience working with LLVM or other open source project is a plus
Experience in CPU architecture is a plus
Experience in collaboration with teams across different organizations and timezones is a plus

Requirements:
Strong foundation in image processing computer vision, machine learning, and deep learning.
Proficiency in Python and deep learning frameworks (e.g. PyTorch).
Hands on experience with developing real time deep learning solutions, using large scale datasets.
PhD or Master's degree in Computer Science, Electrical Engineering, in related research fields.
Proficient in both written and verbal communication.
Ability to work both autonomously and collaboratively.
3 or more years of relevant experience.
Preferred Qualifications
Experience with Vision Transformers, Diffusion Restoration models.
Experience with advanced implementation architectures on GPU, Dedicated HW or Neural engines.
Experience with inverse problems
Background in physics
Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV).

Requirements:
Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
At least 6 years of experience in embedded software engineering or a similar area.
At least 3 years of experience in security domain (e.g., cryptography, hardware security modules (HSMs) or TPMs, security protocols, secure boot process, modern operating systems security, etc.)
Proven SW architecture and technical leadership skills.
A proficient knowledge of C/C++ programming languages and embedded software development tools.
A solid understanding of embedded systems architecture and real-time operating systems (RTOS).
Exceptional communication skills, including the ability to clearly express technical concepts in verbal and written forms. Able to scale conversations from block diagrams to C level code explanations.
A high degree of creativity and innovation, with the ability to solve complex problems and deliver robust solutions.
Preferred Qualifications:
Familiarity with other programming languages such as Rust and Python is a plus.
Additional areas of expertise (such as CPU architecture, Windows drivers, Windows internals) is a plus.

Requirements:
9+ years of hands-on engineering experience leading complex designs, developing high quality and high resilient systems.
5+ years of hands-on engineering experience working on large-scale cloud applications and designing and building large-scale distributed systems.
3+ years of experience as senior/principal technical lead / architect role.
Advantages :
B.Sc./M.Sc in Computer Science, Software Engineering or equivalent.
Engaging, cooperative, forward thinking, curious and enthusiastic. 
Experience with Security/Cyber domains.
Experience in AI development.
Experience with the Azure cloud environment.

Requirements:
5+ years as a team leader
10+ years of experience in server-side development (Java)
Experience in designing and developing scalable, high-performance systems within a microservice-oriented architecture
Experience in agile development, including continuous integration (CI), continuous deployment (CD), and coding for automated testing
Experience with DevOps methodologies and best practices (or at the very least, full-service ownership - creating and deploying services in a microservice environment)
Experience with SQL and NoSQL databases (e.g., MariaDB, Aurora, PostgreSQL, MongoDB)
Experience with in-memory data stores (e.g., Redis) and messaging/queuing systems (e.g., Kafka, RabbitMQ, SQS)
Experience with AWS services (e.g., Lambda, S3, CloudWatch)
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with Ai code assistant tools - cursor/claude code
Strong problem-solving skills with a get-things-done mentality
A team player with excellent collaboration skills

Requirements:
* 2-5 years of development experience in Backend C++/GoLang Software Developer over Linux.
* BSc./B.A. in Computer Science/Computer Engineering/equivalent degree graduate.
* Strong problem-solving skills along with the ability to work independently.
* Highly motivated, confident, a quick learner and a team player.
* Strive to learn new things and gain experience.
* Ability to read and understand a large and complex existing code-base, as well as analyze and debug complex multi-threaded code. Preferred Qualifications
* Development experience in storage protocols NFS/SMB/S3.
* Development in network servers/backend
* Experience in distributed systems and performance-oriented development.
* Experience in developing enterprise class software.
About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only has Infinidat won 22 awards in the first half of 2025 , but has also been a 7-time winner of the Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage and we can go on, and on, and on!?

Requirements:
5+ years of hands-on experience in Java (must)
Experience with Microservices architecture
Proven experience in building high-scale services
Experience with SQL and NoSQL database systems (MySQL, Aurora, MongoDB, Redis, etc.)
Familiarity with AWS Cloud and Kubernetes (advantage)
Experience with Queuing technologies like Kafka and RabbitMQ (advantage)
Strong understanding of developer testing (unit, component, integration, and e2e tests)
Experience in Financial industries - FinTech (strong advantage)
Independent, responsible, and communicative, thriving in a hybrid work mode
A team player with a strong sense of ownership and a can-do attitude
Experience using or developing products based on AI technologies and LLMs an advantage

Requirements:
5+ years of experience with SW development using C#, Java, Python or similar language.
Practical experience with AI-based or agentic development tools (e.g., GitHub CopilotAgent, Cursor, Claude Code, Cline).
Highly Familiar with distribution formats such as MPEG-TS, HLS, MPEG-DASH, and CMAF, including segmenting and packaging for live and on-demand delivery.
Solid understanding of end-to-end streaming systems design: ingest (e.g., RTSP), processing/analytics pipelines, packaging/origin, CDN delivery, player behavior, and operational observability (metrics, logging, alerting)
Other-
B.Sc. in Computer Science or equivalent
Ability to automate quality control and alerting for streaming workflows to detect and resolve streaming issues rapidly.
Familiarity with video transport protocols such as RTSP, RTP, RTMP, SRT and related streaming technologies.
WebRTC experience for interactive streaming scenarios.
Proven experience with real-time or streaming data processing (e.g. Kafka or similar).
Proven ability to lead complex tasks in unfamiliar domains and deliver them to production.
Experience developing and operating code in cloud environments (Azure / AWS / GCP).
Experience with Docker, Kubernetes, and modern CI/CD practices.
Team player with proven communication skills
A proactive, ownership-driven approach with the ability to lead complex projects end-to-end.
Proven problem-solving and coding skills with a passion for elegant architecture.
Demonstrated ability to think creatively and being resilient to change
Hands-on experience with DeepStream (by NVIDIA) for building and operating real-time video analytics and streaming pipelines