דרושים » תוכנה » AI Software Engineer - Edge AI group

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

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:
M.Sc. in Computer Science (or equivalent).
You have at least 2+ years of hands-on experience in Machine Learning using frameworks such as scikit-learn, PyTorch, or similar.
You have Hands-on experience in software development.
Preferred Qualifications:
Background or strong interest in cybersecurity.
Publications in AI-related research.
Experience with large-scale data systems (e.g., Spark).
Software development experience in C, Java, or C++.
Ability to drive challenging projects from ideation to production.
Ability to quickly learn new technologies independently.
Strong interpersonal skills, teamwork, and collaboration.

Requirements:
* At least 4 years of working experience with Python.
* Proven experience in linux/unix environments.
* Problem-solver along with the ability to work independently and as a team.
* Organized, pays attention to small details. Able to manage multiple tasks simultaneously.
* Fluent English speaking and writing skills.
* Experience in Git and GitLab pipeline.
* Proven experience with complex large-scale systems - an advantage.
* Experience with Relational Database Management Systems - an advantage.
* Experience in debugging hardware problems (i.e server, SSD, JBOD, spinning drives, Infiniband, firmware, PDU, BBU, etc) - an advantage.
* Experience with storage hardware elements and protocols (i.e. SAS, SATA, NVMe, NAS, SAN and similar) - an advantage.
* A Bachelor’s degree in Computer Science/Electrical Engineering or equivalent education - an advantage. ?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:
BSc in Electrical Engineering
7+ years of experience in RF lab automation development with demonstrable sophisticated system implementations
Advanced proficiency in Python or equivalent programming languages for test automation, with a portfolio of scalable automation frameworks
Exceptional debugging skills with proven ability to troubleshoot complex RF measurement anomalies and automation failures
Deep systems-level understanding of RF signal chains and propagation effects, with expertise in characterizing complex impairments
Strong understanding of RF system parameters, measurement methodologies and wireless communications standards (5G, LTE, etc)
Extensive knowledge of RF test equipment, including spectrum analyzers, network analyzers, signal generators, power meters, and vector signal analyzers
Demonstrated proficiency in diving into extensive codebases, quickly understanding software architecture, and independently navigating through multiple layers of abstraction to diagnose and resolve subtle integration issues
Advanced debugging skills with experience using logging frameworks, profilers, and debugging tools to troubleshoot complex software behaviors in RF automation systems
Demonstrated ability to translate RF system specifications into comprehensive automated test plans that efficiently validate performance across all operating modes and environmental conditions
Experience with AI/ML tools and frameworks for predictive analytics, anomaly detection or test optimization is an advantage
Preferred Qualifications:
Proven track record of independently driving technical projects from conception to completion
Outstanding problem-solving abilities with a detailed approach to complex technical challenges
Collaborative team player with excellent cross-functional communication skills
Self-motivated with demonstrated ability to prioritize in a fast-paced environment
Accountability with consistent delivery of high-quality results on schedule

Requirements:
* Bachelor's degree in Computer Science, engineering, or a related field (or equivalent work experience).
* Minimum of 5 years of experience in JAVA development. 2 years experience with Node.js and Python Object-Oriented Design (OOD)
* Experience with AI agents workflows.
* Hands-on experience in designing and developing applications using JAVA EE platforms.
* At least 3 years of experience with infrastructure-related tasks, with a strong focus on CI/CD processes, preferably via Jenkins.
* Solid understanding of the software development lifecycle and agile development methodologies.
* Experience with AWS container services, specifically Elastic Container Registry (ECR) and Elastic Container Service (ECS).
* Excellent knowledge of Relational and NoSQL Databases
* Hands-on experience with AWS services like EC2, S3, DynamoDB and ElasticBeanstalk.
* Experience with GCP, specifically with BigQuery and Google App Engine - is an advantage.
* Strong analytical and problem-solving skills, with the ability to identify and mitigate risks.
* Fluent level of English (written and verbal skills).
* Can-do attitude and a proactive approach to problem-solving excellent communication and interpersonal skills.

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:
BSc. degree in CS
At least 5 years of experience in mobile software development for Android in Java and Kotlin
Experience in iOS mobile development
Experience in Flutter/Dart Advantage
Experience in backend development and technologies Advantage
Proven experience with Android UI design principles, patterns, and best practices
Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes and popular third-party libraries
Proficient in consuming RESTful web services, asynchronous data processing
Proven experience working in an Agile development methodologies, using CI/CD practices including testing
Solid understanding of the full mobile development life cycle designing, developing, debugging, and deploying
Strong problem solving, design and creative thinking capabilities
Excellent team player with strong communication skills
Business-fluent English