Machine Learning Application Engineer (m/w/d) - Qualcomm, Ingolstadt, Germany
☞ Qualcomm Technologies International GmbH
Ver: 156
Día de actualización: 22-10-2024
Ubicación: Ingolstadt Bavaria
Categoría: Artes / Diseño
Industria:
Contenido de trabajo
Company:
Qualcomm Technologies International GmbHJob Area:
Engineering Group, Engineering Group > Software Applications EngineeringGeneral Summary
Automotive is the first major industry that Qualcomm is disrupting by building on our foundational leadership, differentiation, and scale in mobile. In just a few years, Qualcomm has gone from newcomer to trusted technology leader in the automotive infotainment segment, securing design wins with many of the major automakers worldwide. Automakers have come to rely on us not only for modem technology, where Qualcomm is the #1 semiconductor in telematics, but also as their trusted partner for redefining the in-car infotainment and autonomous driving experience. We have debuted our third-generation infotainment product line and are now a leader in the automotive infotainment category for next-generation designs. Snapdragon is expanding in its capabilities to power the next-generation cockpit experience as the media and information centre in the vehicle, which drives significant audio, video, graphics, camera, and software complexity. AI is also now expanding the horizon and bringing new use cases to customers.
This position is for the Qualcomm Automotive Engineering team, which closely collaborates with its automotive partners and customers from concept to commercialization. The team involves with all aspects of embedded software such as SW & HW designs, feature prototyping, feature development, integration, customization, performance optimizations & improvement, and other debugging efforts which is key for a successful launch of the product.
We are looking for a strong software engineer (m/w/d) with good knowledge and hands-on experience in design/development/debugging aspects of automotive machine learning applications. The main responsibility is to provide direct support to Qualcomm customers and partners with the design, development and debug of Qualcomm reference designs SW related issues and helping to customize/optimize software to meet the product requirements using the features in Qualcomm SOC. The candidate must quickly ramp-up onto an existing project, understand automotive platform hardware and software driver architecture, demonstrate strong analytical and systematic problem-solving abilities, and work closely with external customers to customize and launch their new products.
The successful candidate will get a chance to work on cutting edge infotainment/digital cockpit and ADAS technologies from leading auto manufacturers and Tier1s and contribute to push the projects through to commercialization.
Minimum Qualifications:
- 6+ years Software Applications Engineering, Software Development experience, or related work experience.
- Experience with Embedded software development, integration, debugging.
- Experience with C/C++ programming and modern scripting languages like Python.
- 2+ years development or debugging experience with High level operating systems (QNX, Linux or Android)
- Generic, but solid understanding the machine learning/deep learning concepts, algorithms and architectures, including CNNs used for Object Detection, Segmentation, and various other Computer Vision tasks.
- Background and understanding of neural network operators and mathematical operations like linear algebra or quantisation issues.
- Experience with executing, analysing and optimising neural networks (e.g. pruning, quantization, etc.) especially for embedded systems applications.
- Knowledge of frameworks and SDKs for Computer Vision/Deep Learning, like OpenCV, OpenCL, PyTorch, Tensorflow, Caffe/Caffe2.
- Excellent issue triage and debugging skills with complex system level issues.
- An intrinsic desire for systematic working and ability to deliver high quality results in a stressful environment.
- Good communication and excellent team working skills.
- Quick adaptability to work in new technologies.
- Ability to take up project management responsibilities and basic understanding of software development processes.
Preferred Qualifications:
- Practical experience with ML applications in Automotive Infotainment or Autonomous Driving projects.
- Experience with industry standard ML benchmark suites such as ML Perf.
- Experience with ML accelerators or other dedicated hardware blocks for ML in embedded systems.
- Experience in using debugging tools such as JTAG, ftrace or GDB.
- Ability to work with common test equipment (oscilloscope, logic analyser, spectrum analyser, multimeter).
- Ability to mentor junior team members in technical topics and take a leading role in cross-functional teams.
- Driving license for Germany and ability to freely travel within Europe and North America.
Education:
Bachelor’s degree in Engineering, Information Systems, Computer Science, Electronics, or related field, (Masters Preferred)
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*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .
Plazo: 06-12-2024
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