Location: Budapest, HungaryAI Research Engineer - aiWareaiWare is an Automotive Neural Network Accelerator Hardware IP optimized for high utilization and low power consumption. It is developed by engineers working side-by-side with our automated driving teams to create a unique solution targeting high-performance L2-L4 automotive grade real-time AI inference for AD/ADAS. You will have the opportunity to get a glimpse inside the workings of a specialized hardware and the software surrounding it.
Job SummaryModel compression, edge inference optimizationTake part in the development and support of a limited-precision, fixed-function NN acceleratorResearch and develop methods to maximize achievable precisionImplement and optimize postprocess algorithms for neural networksKey QualificationsMSc in Software engineering or similar fieldExcellent mathematical skillsKnowledge of artificial intelligence and image processingIntermediate English skillsExperience with PythonConsidered as a plusExperience in image processing and artificial intelligence R&D areaExperience with embedded systemsFamiliarity with PyTorchAbility to work independently and systematicallyWhat We Offer Competitive salary and long-term bonus system Fitness opportunities Corporate health insurance package Free lunch every workday, nearby at one of the best all-you-can-eat restaurants in Budapest or delivered by Wolt for Work Work on the hottest applied research problem in an agile working culture, backed by a strong, stable and future-proof industrial partnership Develop solutions for one of the largest car manufacturers with a global reach Test your solution in realistic simulated scenarios and a fleet of cars across multiple continents every dayBe proud of seeing your solution on the roadVisit relevant international conferences, submit patents of new solutionsWe believe:
people over process, we are keen to maintain a work-life balance Thank you for your application!We will get back to you as soon as possible. If you have any additional questions, feel free to contact us.
Customize your resume to highlight skills and experiences relevant to this specific position.
Learn about the company's mission, values, products, and recent news before your interview.
Ensure your LinkedIn profile is complete, professional, and matches your resume information.
Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.