We are looking for smart, innovative, and motivated individuals with deep learning research & development background to join the Qualcomm Autonomous Driving team in Munich, and work on designing and prototyping the brain of next generation autonomous vehicles. You will have the opportunity to work with a group of top talents in computer vision, advanced deep learning/GenAI technologies efficient operation at the edge in Qualcomm.
The Data Management team(s) develop, own, and run the applications that together form a platform-like layer in between the cloud provider's managed services and the applications / pipelines run on top of it. We are facing most challenging problems that require clear dedication and passion for solving complex problems. The team does work in a distributed environment, where international cooperation with Automotive OEMs plays an as important role as cooperating with Qualcomm colleagues from all over the world.
What you'll do:
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Develop, maintain, and operate our Data Management cloud applications for ADAS/AD testing.
-
Research and implement state-of-the-art concepts and techniques in Cloud and Big Data scopes.
-
Adapt and apply our solutions within international customer projects in close cooperation with our function development teams.
-
Learn every day to leverage the best knowledge to solve the complex world's problems of tomorrow.
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Work in a highly motivated, international team using SAFE (or similar frameworks) as the overarching agile framework for coordination.
-
Challenge yourself and your teammates in delivering the best software we possibly can.
-
Collaborate with internal teams, teams from cooperation partners and external teams from contractors.
Ihre Aufgaben
Company:
Arriver Software GmbH
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
About the team
In the Data Management area, we develop and operate automated cloud and on-premises solutions for large-scale performance evaluation of ADAS (advanced driver assistance systems) / AD (autonomous driving) sensors and functions.
The focus for developing our applications follows the cloud first approach but might also include running our applications on-premises. Our goal is to design and build a highly scalable, efficient, and modular data platform. This platform will be used by engineers to run re-simulation pipelines, machine learning workloads, perform in-depth data analysis/analytics, visualize results, and more.
We are looking for smart, innovative, and motivated individuals with deep learning research & development background to join the Qualcomm Autonomous Driving team in Munich, and work on designing and prototyping the brain of next generation autonomous vehicles. You will have the opportunity to work with a group of top talents in computer vision, advanced deep learning/GenAI technologies efficient operation at the edge in Qualcomm.
The Data Management team(s) develop, own, and run the applications that together form a platform-like layer in between the cloud provider's managed services and the applications / pipelines run on top of it. We are facing most challenging problems that require clear dedication and passion for solving complex problems. The team does work in a distributed environment, where international cooperation with Automotive OEMs plays an as important role as cooperating with Qualcomm colleagues from all over the world.
What you'll do:
-
Develop, maintain, and operate our Data Management cloud applications for ADAS/AD testing.
-
Research and implement state-of-the-art concepts and techniques in Cloud and Big Data scopes.
-
Adapt and apply our solutions within international customer projects in close cooperation with our function development teams.
-
Learn every day to leverage the best knowledge to solve the complex world's problems of tomorrow.
-
Work in a highly motivated, international team using SAFE (or similar frameworks) as the overarching agile framework for coordination.
-
Challenge yourself and your teammates in delivering the best software we possibly can.
-
Collaborate with internal teams, teams from cooperation partners and external teams from contractors.
What you'll bring:
-
Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
-
Expertise and experience in deep learning, transformers, large language model and statistical concepts.
-
Expert level skills in Python, PyTorch or TensorFlow, scikit-learn
-
2+ year of academic or industry experience with programming in C++, Linux, and/or tools experience (e.g., Git, Gitlab, Docker)
-
Knowledge of SQL/NoSQL, vector database, jupyter notebooks, DB knowledge
-
Good understanding of cloud (preferably AWS), DevOps and MLOPs is preferred
-
Publication record with papers presented at top-tier machine learning conferences (e.g., NeurIPS, ICML, CVPR) are preferred
-
Excellent problem-solving skills and the ability to work independently and collaboratively.
-
4-6+ years of proven hands-on experience in using Hadoop-like Big Data frameworks - any Hadoop distribution and Apache Spark - or similar frameworks in cloud environments
-
4-6+ years of proven project experience as a product owner, data architect, lead developer or in a comparable function.
-
4-6+ years of proven hands-on experience with cloud platforms like AWS, Azure or GCP.
-
4-6+ years of proven hands-on experience using Docker and Kubernetes
-
4-6+ years of proven hands-on experience using infrastructure and configuration management tools such as Terraform, Ansible, and Helm
-
4-10+ years of proven hands-on experience in writing clean, well-documented, reusable code in Scala, Java, JavaScript, Python, or similar languages, other languages are beneficial
-
Understanding of data platform architecture concepts: Data Lake, DWH and data modeling and Data Mesh.
-
Understanding of RDBMS, NoSQL DB technologies, and data warehousing solutions and tradeoffs
-
Generic knowledge in standard software development processes, such as code review, unit testing, CI/CD, infrastructure as code and similar
-
ADAS/AD sensor and software development/testing experience is very beneficial.
-
Hands-on skills in creating RESTful APIs are required and knowledge in creating web UIs is beneficial.
-
Product awareness and maker mindset
-
Strong interpersonal skills and demonstrated ability to work with multi-functional teams
-
Excellent communication skills and fluent in English language
Nice to have:
Cloud certifications (Professional/Specialist Level)
Excited about this role, but not sure if you meet 100% of the criteria? We would still like to hear from you and would welcome your application.
We offer:
-
Salary, stock and performance related bonus
-
Employer-financed pension schemes
-
Employee Stock Purchase Program
-
Jobbike
-
Health Benefit
-
Mobility Benefit
-
and many more
This is a full-time position based in our office in Unterschleißheim, Germany.
If this is you, then consider being part of our team and apply today!
Minimum Qualifications:
-
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
-
2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
*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.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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If you would like more information about this role, please contact Qualcomm Careers.
Ihr Profil
-
Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
-
Expertise and experience in deep learning, transformers, large language model and statistical concepts.
-
Expert level skills in Python, PyTorch or TensorFlow, scikit-learn
-
2+ year of academic or industry experience with programming in C++, Linux, and/or tools experience (e.g., Git, Gitlab, Docker)
-
Knowledge of SQL/NoSQL, vector database, jupyter notebooks, DB knowledge
-
Good understanding of cloud (preferably AWS), DevOps and MLOPs is preferred
-
Publication record with papers presented at top-tier machine learning conferences (e.g., NeurIPS, ICML, CVPR) are preferred
-
Excellent problem-solving skills and the ability to work independently and collaboratively.
-
4-6+ years of proven hands-on experience in using Hadoop-like Big Data frameworks - any Hadoop distribution and Apache Spark - or similar frameworks in cloud environments
-
4-6+ years of proven project experience as a product owner, data architect, lead developer or in a comparable function.
-
4-6+ years of proven hands-on experience with cloud platforms like AWS, Azure or GCP.
-
4-6+ years of proven hands-on experience using Docker and Kubernetes
-
4-6+ years of proven hands-on experience using infrastructure and configuration management tools such as Terraform, Ansible, and Helm
-
4-10+ years of proven hands-on experience in writing clean, well-documented, reusable code in Scala, Java, JavaScript, Python, or similar languages, other languages are beneficial
-
Understanding of data platform architecture concepts: Data Lake, DWH and data modeling and Data Mesh.
-
Understanding of RDBMS, NoSQL DB technologies, and data warehousing solutions and tradeoffs
-
Generic knowledge in standard software development processes, such as code review, unit testing, CI/CD, infrastructure as code and similar
-
ADAS/AD sensor and software development/testing experience is very beneficial.
-
Hands-on skills in creating RESTful APIs are required and knowledge in creating web UIs is beneficial.
-
Product awareness and maker mindset
-
Strong interpersonal skills and demonstrated ability to work with multi-functional teams
-
Excellent communication skills and fluent in English language
Nice to have:
Cloud certifications (Professional/Specialist Level),
-
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
-
2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
*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.
Wir bieten Ihnen
-
Salary, stock and performance related bonus
-
Employer-financed pension schemes
-
Employee Stock Purchase Program
-
Jobbike
-
Health Benefit
-
Mobility Benefit
-
and many more
This is a full-time position based in our office in Unterschleißheim, Germany.
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