This is an incredible opportunity for a passionate entry-level engineer or final-year B.Sc. student to kickstart their career and help shape the future of Digital Twin technology.

In this role, you will help design, implement, and optimize machine learning and computer vision models to process and extract insights from data captured by autonomous drones. Youll be mentored by industry experts, taking algorithms from theoretical concepts to real-world impact on a global scale. If you are a fast learner who loves solving complex mathematical and visual problems, we want to hear from you!

Job Description:

Hands-on Development: Assist in developing algorithms to solve challenging computer vision problems, helping automate survey analysis and drone flight planning.
Write Production-Ready Code: Bridge the gap between a Jupyter Notebook and real software. Youll write clean, modular Python code and integrate your solutions into our product pipelines.
Implement Modern Methods: Adapt and optimize state-of-the-art Deep Learning models (object detection, segmentation) for our massive drone imagery datasets.
Analyze & Experiment: Run feasibility studies, evaluate model performance, and help clean and curate high-quality datasets for training.
Learn & Grow: Work within an agile team of experts, adopting cutting-edge software development methodologies and iterating based on real-world feedback.

Join the family and take part in the development of next generation products that will define the future of the cloud domain. Our looking for talented engineers to help us develop the semiconductor platform which is based on revolutionary architecture.

Youre invited to take part in developing, integrating and deploying technologies. Starting from the identification and definition of project requirements, feature development and deployment, to operational support on a very large scale.

Your code will run on millions of servers worldwide as part of the nitro system- few software engineers in the industry have a similar opportunity to create code that runs at such a scale. As part of your role, you will be a member of a team that develops new firmware including boot loaders, trust zone, and other secure components. You will also be responsible to supporting and improving existing SW components currently in use at AWS.

**Application must have grades sheet attached**

Required Software Engineering Student
Company Overview
A leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
Position Overview
Join our Software Engineering team and gain hands-on experience developing cutting-edge manufacturing planning software used by innovators worldwide. You will work on real projects within a collaborative team, contributing to solutions that support product planning and streamline manufacturing processes-primarily within the automotive industry
This is your opportunity to learn industry best practices, work with experienced engineers, and make a meaningful impact on a product used globally.
Key Responsibilities:
Design and develop code in a 3D graphics manufacturing planning application under the guidance of senior engineers
Participate in code reviews and implement feedback to improve code quality and best practices
Collaborate with cross-functional teams to understand requirements and deliver solutions
Debug and troubleshoot software issues, documenting findings and solutions
Contribute to documentation and knowledge sharing within the team
Learn and apply modern software development methodologies and tools.

We are looking for a motivated and enthusiastic data Science Student to support our AI and data management efforts. The role involves data collection and preparation, Deep Learning models architecture design, implementation, training, and evaluating algorithm results mainly in the medical imaging domain. Additionally, you will help with other data -related tasks as needed to support our operations. What you will be doing: data Collection: Gather, organize and prepare (including augmentation) data from various Storage locations using tools such as Excel and Python scripting. Develop Python code for automatic data collection. Deep Learning Models - Implementation and Training: Analyze to decide what kind of model to use, implement it, train it and adapt to improve the model results. Evaluate Model Results: Visually and empirically assess AI model and other computer vision algorithms outputs, providing feedback and scoring to improve model performance. Assist in Other data Related Tasks: Organize data from different sources, clean it and implement automatic data collection and preparation pipeline scripts. Working according to our Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.

We are hiring a QA Engineer Student to join our team.
Reporting to: QA Team Leader
Location: Petah Tikva, Israel
Direct employment
Responsibilities:
Demo is our number one tool for sales to showcase portfolio, by reflecting our solution to our customers.
In this position you will have to work closely with the product management in each release to add / update any new capabilities.
Managing the demo development environments
Creating demo scenarios and data
Regression testing of the existing capabilities
Fixing demo issues
Act as the focal point for any technical matter coming from the field
Designing, setting up, and maintaining demo environments and network topologies according to product requirements and use case

The Nitro core software team develops solutions for the Nitro System-on-Chip (SoC). As a part of our team, you will design, implement, and maintain CI/CD pipelines and automated testing infrastructure for Nitro core software. You will develop and optimize continuous integration and delivery workflows using frameworks such as Jenkins and internal CI/CD pipelines, ensuring reliable and efficient build, test, and deployment processes.

Key job responsibilities
The role includes:
CI/CD Infrastructure Development - Building, maintaining, and improving automated testing pipelines using Jenkins, internal CI/CD frameworks, and related DevOps tooling to enable fast, reliable, and repeatable test execution.
Test Automation Engineering - Developing test scripts, frameworks, and automation solutions for Nitro embedded systems, applying software testing methodologies to ensure quality at scale.
Debugging & Root Cause Analysis - Diving deep into failures across the CI/CD pipeline and embedded software stack, performing systematic debugging, log analysis, and root cause investigation to resolve complex issues and improve system reliability.
Infrastructure as Code - Managing test environments, build configurations, and deployment automation using scripting and DevOps best practices.
Collaboration - Working directly with Nitro core software teams, participating in code reviews, incident triage, and troubleshooting activities to continuously improve development velocity and product quality.
AI-Assisted Development - Leveraging AI-based tools and assistants (e.g., Amazon Q, Copilot, LLM-based analysis) to accelerate test development, failure triage, and code generation workflows.
This role offers hands-on experience in DevOps engineering and test infrastructure for embedded systems, allowing you to apply academic knowledge to practical, production-scale projects. This position provides an excellent opportunity to gain industry experience in CI/CD practices, enhance technical and operational skills, and build a foundation for a career in DevOps, embedded systems testing, and infrastructure engineering.

The Professional Services Engineer is responsible for supporting the roadmap development by having a wide understanding of the business and providing solutions to the relevant teams in the organization. Include ownership of limited releases, supporting deployments, understanding integration / 3rd party tools (APIs) and leading the transformation of knowledge to the tier 3 support and to the training teams (SME).

Key Responsibilities
Be Point of contact for the product development core team and be part of the Product Life Cycle (PLC)
Extract data from various sources, analyze it and point to the relevant data
Explore opportunities to improve process and tasks
Develop proactive and predictive processes and tools to improve our products and services.
Work closely with a cross functional team between technical teams, Marketing, and R&D.
Deliver lecture-based and hands-on training courses for internal customers (Business support, tech support, Lab support) Transfer tech knowledge (internally).

We are looking for talented students/engineers to help us develop the semiconductor platform which is based on revolutionary architecture. Take part in the development of cutting edge products within disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. Become part of the group which is responsible for development of essential components for networking and storage functionality in the biggest cloud in the world (AWS).

Learn and influence how the cloud works "behind the curtain" today and be part of the innovation that defines how it will look tomorrow - make if more secure, faster and robust. This challenging and interesting job will allow you to contribute into different domains which include embedded development, host stacks and internal services. Get involved in using of cutting edge technologies in both kernel and user space. Being part of Annapurna's SW group will help to establish connections with many other AWS groups and contribute on a company wide scale.

We are looking to hire Embedded Software Engineering Students to join the SW group and take a major part in redefining the future of our cloud.

The Graviton SW team is looking for an Embedded Engineering Intern to join us in building next generation platforms. At the platforms team, you'll work on large and complex boards, helping bring our Silicon devices into our fleet. You'll have the opportunity to learn about next gen platforms and contribute to the technologies that power the world's largest Cloud provider.

we are looking for analytical people who can find the right way to solve a case.
We are looking for analytical, proactive, self-driven and independent junior fraud analysts to join our fraud team in our fast-growing company.
This is a student position - working in shifts with high flexibility (both from the office and from home)
Responsibilities:
Conduct risk assessments and manual reviews for online e-commerce transactions
Build, design and improve fraud prevention strategies and mechanisms
Identify and analyze fraudulent patterns and anomalies via data analysis.