Data and Software Engineer (m/f/d) - Qualcomm Unterschleissheim, Germany - #2106993
Qualcomm
Date: vor 19 Stunden
Stadt: München
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag

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 very motivated colleagues with a strong Data Engineering background combined with a very strong Software Engineering knowledge to further extend our team in Unterschleißheim.
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
Minimum Qualifications
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.
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.
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.
3075109
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 very motivated colleagues with a strong Data Engineering background combined with a very strong Software Engineering knowledge to further extend our team in Unterschleißheim.
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.
- University degree in Computer Science, or a similar field
- Solid background in Data and Software Engineering principles
- 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
- Cloud certifications (Professional/Specialist Level)
- Experience with developing machine learning models and algorithms
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
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 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.
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.
3075109
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