Software Engineer – Automotive Solutions - AI/CV (w/m/d)
☞ Qualcomm Technologies International GmbH
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Giorno di aggiornamento: 24-10-2024
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Qualcomm Technologies International GmbHJob Area:
Engineering Group, Engineering Group > Software Applications EngineeringGeneral Summary
Qualcomm Technologies International GmbHQualcomm Automotive team is rapidly expanding to offer optimized AI/CV solutions for in ADAS/AD and Infotainment/Cockpit systems. To scale and strengthen our offering in this domain, we are seeking ambitious and innovative engineers who enjoy working with cutting edge technologies, in a fast-paced environment. The roles require significant interactions with OEMs/Tier-1s, Partners and ISVs as well as close cross-functional interaction within internal teams, good communication, planning and execution skills.
Responsibilities in this role shall include the following:
Actively engage with Automotive OEMs, Tier-1s and ISVs to implement solutions based on of Qualcomm Automotive platforms and support their development and commercialization efforts.
Design, implement and optimize vision and neural network processing pipelines and algorithms on Qualcomm’s SoCs and platforms.
Closely collaborate with product owners and domain/technology experts to integrate/validate software in a larger systems.
Minimum Qualifications
Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
5+ years Software Engineering or related work experience.
2+ years experience with Programming Language such as C, C++, Java, Python, etc.
Preferred Qualifications
5-8 years of relevant experience
Software development experience in heterogenous/multi-core architectures (CPUs, GPUs, DSPs, tensor accelerators etc.).
Strong skills in analyzing performance of AI/CV solutions on heterogenous architectures (core, cache, memory, bus, etc.).
Hands-on experience developing AI/CV software for embedded systems using operating systems like QNX, Linux and other RTOS.
Hands-on experience developing and optimizing kernels and algorithms for DSP architectures, vector and tensor accelerators.
Experience with NN execution patterns - compilers (eg. Glow, XLA, TVM etc) and runtimes (eg. ANN, TFlite, SNPE etc.).
Knowledge of frameworks and SDKs for Vision, Compute and Deep Learning (eg. OpenCV, OpenCL, PyTorch, TensorFlow etc.).
Strong programming experience in C/C++/Python.
Industry experience in AI/machine learning applications in the fields of automotive, robotics, IOT etc.
Experience with neural network quantization, compression, pruning algorithms.
Experience with industry standard and emerging benchmark suites such as MLPerf.
Experience designing complex fault-tolerant safety systems and designing in accordance to industry standard specifications (eg. ISO26262).
Excellent issue debugging and problem-solving skills.
Excellent communication and team working skills.
Minimum Qualifications
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Preferred Qualifications
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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 .
Scadenza: 08-12-2024
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