דרושים » ייצור ותעשייה » Automation Engineer

Requirements:
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute various performance scenarios with deep system knowledge and understanding.
Desired Skills & Experience
At least 2 years experience in development of product testing, manufacturing, automation tools. Python is a big advantage.
Knowledge of performance benchmark IO tools including MetaData, Data and various protocols such as NFS, S3, SMB- Advantage
Knowledge of File Systems (NAS) / Block-level Storage/storage networking protocols.
Experience with Linux & shell scripting: Python, bash. - an advantage
Experience in analyzing large and diverse systems, understanding of regression processes and procedures.
Background in developing test automation infrastructure and/or automating tests on a combination of Linux and Windows servers.
Deep understanding of Computer systems / Operating systems (Unix, Linux, Windows) - must
Demonstrated testing experience (Test Definition & Execution) in the following fields: Integration, Performance, Stress.
B.Sc./B.A. degree in computer science, engineering or related discipline an advantage
Advantage
Experience with virtualization, cloud, networking, or storage technologies
Experience with tools like Jenkins and Git
Good networking knowledge and experience with storage technologies.

Requirements:
Education: Bachelors or Masters degree in Computer Science, or a related field.
Experience: 2 years of proven experience in AI/ML and software development.
Skills:
Proficiency in Python programming.
Experience with AI projects based on Large Language Models (LLMs).
Familiarity with basic principles of large language models, including prompt engineering and APIs such as OpenAI.
Knowledge of RAG architecture.
Experience with AWS and GPU computing.
Advantageous Skills:
Hands-on experience with RAG-based projects.
Experience with vision language models.
Hands-on experience with classification, detection, and segmentation models.
Familiarity with vision model development, including data augmentation, transformations, and handling imbalanced data.
Experience with the vision model training process.
C++ programming
Strong analytical and problem-solving skills.
Ability to work independently and as part of a team.
Excellent communication skills.
Ability to stay current with emerging AI technologies and methodologies.

Requirements:
5+ years managing software engineers in a cloud environment.
BA/BS/MS in Computer Science or equivalent.
10+ years in software development (Java - Must).
Experience with the following technologies: Linux OS, Go, Python, Node.js, Angular, SQL & No-SQL DBs - Advantage
Experience with AWS, Azure, or GCP.
Strong problem-solving and communication skills.
Excellent time management.
IoT cloud solutions and retail tech experience are a plus.

Requirements:
What Youll Be Doing
Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization.
Among the different tools:
test infrastructure used by the QA
Maintain and develop API and interfaces facing the company storage product + different cloud providers.
full stack bug investigation portal
VM orchestration
Collaborate with other teams to improve the productivity of the entire R&D organization.
Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage,
Requirements:
3+ years of Python development experience (Object Oriented programming - not scripts).
2+ years experience working on Linux platform, be comfortable with Linux.
Strong technical abilities, problem-solving, design, coding and debugging skills.
Highly motivated and independent
Strong problem solver and out-of-the-box thinker
Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision.
Strong communication abilities
Strong multi-tasking abilities
Advantage:
Network, Storage, Virtualization, Docker, Git, HTTP, REST.

Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
3 years of experience in coding or scripting languages (e.g., Python, TCL).
Experience with front-end design, verification, integration teams on tools development, maintenance, or support.
Preferred qualifications:
Experience in CPU or SoC design, debug, and verification flows.
Experience working with RTL teams and design integration methodologies that improve team productivity and velocity.
Experience with delivering chip design infrastructure or methodology including multi-HDL model builds and CI/CD systems.

Requirements:
Required Qualifications:
3+ years of experience in large-scale product development and maintenance of production systems.
professional experience developing in C or C++.

Other Requirements:
Ability to meet us, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
Our Cloud Background Check: This position will be required to pass the Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
Bachelor's Degree in Computer Science.
OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,
OR Python
OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
1+ years experience with operating systems internals.
Familiarity with scrum tracking tools such as JIRA or Azure DevOps.
Understanding TCP/IP and other networking concepts.
Experience in one or more of the following: Linux and Windows networking stacks and other OS components; Reliable, high availability software development; Host network offloads; RDMA, SR-IOV; Virtualization (hypervisors, virtual machine switching); TCP/IP; Switching and routing protocols; Network hardware - NICs, switches, routers; Load balancing; Network virtualization (NVGRE, VXLAN); QoS and scheduling; Networking at scale, deployment and servicing at scale; Cloud networking architectures; Performance optimization of low-level code.