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Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
As a Cognyter you will:
What You'll Learn
For that mission you’ll need:
Essential:
Preferred:
Apply now.
These jobs might be a good fit

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In this role, you will be responsible for:
Development of large-scale generative AI framework software development
Preparing data for machine learning models at scale.
Building inference interfaces for ML model consumption.
Enabling ML Ops for continuous delivery and automation of ML pipelines.
Developing solutions that can evolve into sustainable AI productization platforms.
Leading the creation of machine learning workflows and infrastructure necessary to build AI models and demonstrate solution feasibility.
*BSc/MSc/PhD student in Computer Science, Electrical Engineering, or similar field. MSc/PhD candidates are highly preferred.
* Ability to work at least 20 hours a week (one day from Petach Tikva offices), with studies expected to continue for at least 1.5 years.
* Practical programming experience in Python and ideally also C# is required.
*Experience with popular generative AI (e.g., AWS (Claude) or Azure (Open AI) Cognitive AI) services is highly desired.
* Solid understanding of machine learning techniques and applications.
* Proficiency in developing large-scale models using widely utilized AI frameworks (e.g., PyTorch, TensorFlow).

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Perform board bring-up, validation, and debugging activities in the lab
Operate lab equipment such as oscilloscopes, power supplies, logic/spectrum analyzers, and multimeters
Support hardware investigations by reading schematics, analyzing layouts, and completing test procedures
Document test results and communicate findings clearly to engineering teams
Work closely with electrical, mechanical, thermal, and system engineers throughout the development cycle
At least 2 years of hands-on experience in a hardware lab environment
Proven experience with lab equipment and board-level debugging
Ability to understand schematics and PCB layouts
Strong problem-solving skills and teamwork mindset
Good technical English for reading datasheets and writing reports
Experience working with high-speed interfaces (PCIe, Ethernet, SerDes)
Familiarity with thermal/mechanical test setups
Experience with test automation.
Background using bug tracking or PLM tools

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What you'll be doing:
Develop verification infrastructure in Python, tackling complex technical challenges, to ensure the robustness and correctness of DOCA™ Services
Engage in the full software development lifecycle of verification components, from design to implementation, and deployment
Write tests forverifying the functionality and performance of the DOCA platform
Debug and analyze complex system-level issuesto identify root causes and ensure timely resolution
What we need to see:
Bachelor's or Master's degree in Computer Science or Software Engineering
Proven experience of 5+ years as a software engineer, with a focus on building complex software systems
Strong knowledge and practical experience in software design and architecture principles
Proficiency in programming languages such as Python, Java, C++ or similar
Deep understanding of software development methodologies and best practices
Excellent problem-solving skills and the ability to tackle complex technical challenges
Effective communication and collaboration skills, with the ability to work in a team environment
Demonstrated leadership capabilities and the ability to inspire and motivate team members
Track record of delivering high-quality work on time and meeting project deadlines
Ways to stand out from the crowd:
Expert level knowledge in the Python programming language.
Background in Operation Systems, preferably in Linux
Knowledge in one or more of the following Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols

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What you'll be doing:
As a member of our Chip Design team, you'll own and be responsible for crafting and timely delivery of a verification components and quality of Chip Design related logic. Day to day tasks include:
Understand and analyze uArch definitions.
Implement verification components to verify RTL meets specifications.
Collaborate with our RTL, Arch and uArch teams.
Work on logic related to switch design.
What we need to see:
A Bachelor’s Degree in Electrical Engineering, Computer Engineering or Computer Science, or equivalent experience.
5+ years of hardware description language expertise and verification background required
Strong communication and interpersonal skills are required along with the work in a dynamic environment.
A strong background in computer communication is highly desirable.
Ways to stand out from the crowd:
Experience with computercommunication/networking

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What you'll be doing:
Work with some of the best engineers to define, plan, and develop Testing platforms and infrastructure.
Build and continuously reform verification infrastructure and methodologies to meet the demands of next generation DPU
Work closely with customers and end users to collects requirements and understand use cases
Deep engagement in NVIDIA products and services.
What we need to see:
Bachelors Degree in EE, CS or CE or equivalent work experience
Strong programming skills in C/C++
Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements
Ability to work with various teams and have strong analytical, debugging and problem-solving skills with attention to details
Excellent communications skills, self-motivated and well organized
Ways to stand out from the crowd
Prior software testing experience, with an understanding of Software Testing Tools and Methodologies
Python or other scripting languages (such as Shell)-advantage
Experience in CI methodology & servers (e.g. Gerrit, Jenkins etc.)
Knowledge of NVIDIA DPU products

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What You’ll Be Doing
What We Need To See
Ways To Stand Out Of The Crowd

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Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
As a Cognyter you will:
What You'll Learn
For that mission you’ll need:
Essential:
Preferred:
Apply now.
These jobs might be a good fit