Aktuelle Jobs im Zusammenhang mit Working Student: Embedded AI Engineering - Dresden - Infineon Technologies


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    Job Summary:We are seeking a highly skilled Embedded Machine Learning Engineer to join our Innovation team at NXP Semiconductors. As a key member of our team, you will be responsible for building next-gen automotive radar and self-driving perception technologies.Key Responsibilities:Benchmark custom AI models on NXP hardware and build up the software stack...


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    Job Summary:We are seeking a highly skilled Embedded Machine Learning Engineer to join our Innovation team at NXP Semiconductors. As a key member of our team, you will be responsible for building next-gen automotive radar and self-driving perception technologies.Key Responsibilities:Benchmark custom AI models on NXP hardware and build up the software stack...


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    **Experience research**: You perform literature research and state of the art analysis to identify system requirements and assist in system design - **Lifelong learning**: You will take care of the optimization of algorithms with AI - **Expand your horizons**: You will be responsible for the deployment and integration on real systems with Infineon...


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    Join our team of innovative software developers at iks Engineering GmbHWe are seeking a highly skilled Embedded Software Developer to join our team in Stuttgart. As a key member of our team, you will be responsible for developing and verifying embedded software for various applications in the aviation industry.Key Responsibilities:Design and implement...


  • Dresden, Sachsen, Deutschland iks Engineering GmbH Vollzeit

    Join our team of innovative software developers at iks Engineering GmbHWe are seeking a highly skilled Embedded Software Developer to join our team in Stuttgart. As a key member of our team, you will be responsible for developing and verifying embedded software for various applications in the aviation industry.Key Responsibilities:Design and implement...

Working Student: Embedded AI Engineering

vor 3 Monaten


Dresden, Deutschland Infineon Technologies Vollzeit
As a global semiconductor leader in power systems and IoT, we enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. That's why you probably use our products every day: smartphone, charger, electric toothbrush, coffee machine, refrigerator, remote control and much more. Join our team to drive decarbonization and digitalization. We are looking forward to your application Shape the future: You are part of the evaluation and development of next-generation compiler technology for AI/ML workloads Holistic System Overview: You analyze the compilation flow of AI/ML-compiler frameworks for Infineon product requirements Hands-on research: You develop and execute experimental designs to evaluate AI/ML-compiler to gain knowledge about performance and power consumption Data is everything: You collect and analyze data to evaluate performance benchmarks Inform your colleagues: You communicate findings through well-written reports and presentations Study field : You are currently studying Computer Science, Electrical Engineering or similar Preferred experience: You are familiar with AI/ML frameworks for model construction and training (, TensorFlow, PyTorch, and more) and have first-hand experience with embedded systems, including microprocessors, microcontrollers, and peripherals Beneficial interests: You are ideally already familiar with ARM microcontroller architectures and their software ecosystem as well as edge deployment tools (TFLite, MicroTVM, ExecuTorch, and more) Mandatory skills: You are proficient in programming (, Python, C,C++) and familiar with hardware (, Arduino) Way of working: You embrace collaboration, have excellent verbal and written communication skills, and thrive in dynamic and fast-paced environments Language skills : You have fluent English skills, both written and spoken
Please attach the following documents to your application:

CV in English Certificate of enrollment at university Latest grades transcript (not older than 6 months) High school report
Important information:

Working part-time : The focus is on studies. Therefore, working student is possible during the lecture period with a maximum of 20 hours per week. Proper students (according to the German law) are welcome : You must be enrolled, and the examination results or modules of your studies must not have been completed yet, so that you can still work in our team for at least 6 months. You must also not be in a semester of leave. You should live close to the site : It is important for us to work with you on site and to integrate you into the team. You should therefore be able to come to the site regularly.

Benefits

Coaching, mentoring networking possibilities Wide range of training offers & planning of career development International Assignments Different Career Paths: Project Management, Technical Ladder, Management & Individual Contributor Flexible working conditions in office jobs Home Office possibilities Part-time work possible (also during parental leave) Spots in local kindergarden On-site social counselling and works doctor Health promotion programs Fitness Room On-site canteen Private insurance offers Wage payment in case of sick leave Corporate pension benefits Flexible transition into retirement Performance bonus Reduced price for public transport, car sharing, charging station for e-cars and e-bikes Accessibility, access for wheelchairs Possibility to work remotely from abroad (EU)