לוח משרות דרושים בוגרי מדעי המחשב בחיפה

We are looking for an experienced Test Engineer to join our R&D team. As a Test Engineer, you will play a crucial role in validating and verifying the functionality, performance, and reliability of our autonomous driving system. You will work closely with cross-functional teams to identify and analyze complex issues, providing actionable inputs to help build the safest and most reliable autonomous driving system. Key Responsibilities: Test Planning and Design:
* Collaborate with the development team to analyze requirements and design comprehensive test plans.
* Develop detailed test cases to cover all aspects of autonomous driving software functionality. Execution of Manual Tests:
* Perform on-vehicle testing in diverse scenarios, including open-road and closed-course testing, to validate software functionality, performance, and reliability within the autonomous vehicle.
* Execute both manual and automated test cases and ensure the accurate and efficient validation of software features. Issue Identification and Reporting:
* Document and track software defects and issues using industry-standard defect tracking tools.
* Collaborate with developers and other stakeholders to ensure timely resolution of identified issues. Collaboration and Communication:
* Work closely with cross-functional teams to ensure a comprehensive testing process.
* Provide clear and concise communication of testing progress, issues, and results to relevant stakeholders. Test Environment Setup:
* Set up and maintain test environments, including hardware and software configurations, to simulate real-world scenarios for testing. Continuous Improvement:
* Contribute to the improvement of testing processes, methodologies, and tools to enhance overall efficiency and effectiveness.
* Stay updated on industry best practices and emerging trends in autonomous driving software testing.

We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The engineer will work on devising, developing, and integrating novel deep vision-based algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles. Responsibilities:
* Designing, training, and optimizing novel computer vision algorithms.
* Taking an End-to End responsibility over medium to long-term projects
* Seeing projects through from research to deployment.
* Devising and implementing performance metrics.
* Supervising complex data pipelines, from the collection stage, through annotation, to training models.
* Communicating, presenting and visualizing results.
* Aligning the algorithms with the product needs.

We are seeking a highly motivated Postdoctoral Researcher to join our team. The selected candidate will engage in pioneering research to develop the mathematical statistics theory that underpins physics-informed Machine Learning algorithms.
This role presents an opportunity to tackle complex problems at the nexus of deep learning, ordinary and partial differential equations, and mathematical statistics.
The theoretical research is motivated by real data coming from diverse domains such as agriculture, psychotherapy, infectious diseases, medicine, and more.
Key Responsibilities:
* Develop and analyze the theoretical foundations of physics-informed Machine Learning algorithms.
* Collaborate with interdisciplinary teams to apply developed theories and models to real-world scientific and engineering problems.
* Publish research findings in high-impact journals and present work at international conferences.
* Contribute to the development of proposals for research funding.
Benefits:
* Access to cutting-edge research facilities and computational resources.
* The chance to work in a dynamic, interdisciplinary research environment.
* Professional development opportunities, including participation in workshops, seminars, and conferences.