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- Aufgaben: Lead a team to optimize Qualcomm's next-gen data processing platform for autonomous driving.
- Arbeitgeber: Qualcomm is revolutionizing the automotive industry with cutting-edge technology for software-defined vehicles.
- Mitarbeitervorteile: Enjoy a full-time role with opportunities for collaboration and innovation in a dynamic environment.
- Warum dieser Job: Join a mission-driven team tackling complex challenges in AI and autonomous driving technology.
- Gewünschte Qualifikationen: Strong skills in Python, C++, Java, and experience in data management and machine learning required.
- Andere Informationen: Work on groundbreaking projects that shape the future of transportation.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
Qualcomm
Published 19 Aug 2024
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Full Time
Role Highlights
Python
C++
Java
Data Analysis
Data Collection
ML Ops
Computer Science
Integrations
Product Management
CICD
Information Systems
Data Processing
IAC
OOP
OOD
Program Management
Microservices
AI
Robotics
Infrastructure
Servers
Operations
Security
Data Management
Tools, Libraries and Frameworks
Data Factory
GCP
REST Assured
BigQuery
Jenkins
GitOps
Chef
Terraform
CDK
Airflow
Rest
HTTP
ROS
Ansible
Description
Qualcomm is focused on advancing its next-generation data processing platform to support the commercialization of Autonomous Driving. The role involves leading a team to optimize and scale this platform, which will facilitate automotive re-simulation, machine learning workloads, data analysis, and visualization. Collaboration with internal teams and external partners is crucial to understand use cases and address operational bottlenecks. The position requires strong planning and communication skills, as the role will oversee the implementation of distributed processing services and containerized workloads.
Qualcomm Technologies Inc. is at the forefront of transforming the automotive industry with its Snapdragon Digital Chassis, aimed at developing the next generation of software-defined vehicles (SDVs). The company’s Snapdragon Ride, a critical component of this initiative, addresses the complexity of autonomous driving and ADAS by utilizing high-performance, power-efficient SoCs, leading AI technologies, and vision and drive policy stacks. These efforts reflect Qualcomm’s commitment to delivering comprehensive, cost, and energy-efficient systems solutions for autonomous driving. Qualcomm’s work in this domain involves tackling some of the most demanding technological challenges in localization, sensor perception, sensor fusion, behavior prediction, maneuver planning, and trajectory planning and control.
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Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
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Data Management Engineer, Senior Staff (m/f/d) - Qualcomm Unterschleissheim Arbeitgeber: Personal Mini Storage
Kontaktperson:
Personal Mini Storage HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Management Engineer, Senior Staff (m/f/d) - Qualcomm Unterschleissheim
✨Tip Number 1
Familiarize yourself with the specific tools and frameworks mentioned in the job description, such as GCP, BigQuery, and Airflow. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have in leading teams or managing projects, especially in data processing or machine learning contexts. Qualcomm values strong planning and communication skills, so be ready to discuss how you've successfully overseen similar initiatives.
✨Tip Number 3
Stay updated on the latest trends and advancements in autonomous driving technology and AI. Being knowledgeable about current challenges and innovations in this field will demonstrate your passion and commitment to the role.
✨Tip Number 4
Network with professionals in the automotive and tech industries, particularly those involved in data management and autonomous systems. Engaging with industry experts can provide valuable insights and potentially lead to referrals for the position at Qualcomm.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Management Engineer, Senior Staff (m/f/d) - Qualcomm Unterschleissheim
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Management Engineer position at Qualcomm. Understand the key responsibilities, required skills, and technologies mentioned, such as Python, C++, and data processing tools.
Tailor Your CV: Customize your CV to highlight relevant experience in data management, machine learning, and software development. Make sure to include specific projects or achievements that demonstrate your expertise in the technologies listed in the job description.
Craft a Compelling Cover Letter: Write a cover letter that connects your background with Qualcomm's mission in autonomous driving. Emphasize your leadership experience, communication skills, and how you can contribute to optimizing their data processing platform.
Highlight Collaboration Skills: Since the role involves collaboration with internal teams and external partners, make sure to mention any relevant experiences where you successfully worked in a team environment or managed cross-functional projects.
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✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, C++, and Java during the interview. Be prepared to discuss specific projects where you've utilized these languages, especially in data analysis and machine learning contexts.
✨Demonstrate Your Experience with Data Tools
Familiarize yourself with tools like GCP, BigQuery, and Airflow. Discuss how you've used these tools in past roles to optimize data processing and management, as this will show your hands-on experience and understanding of the technologies relevant to Qualcomm's needs.
✨Emphasize Collaboration and Communication
Since the role involves working with internal teams and external partners, be ready to share examples of how you've successfully collaborated on projects. Highlight your planning and communication skills, as these are crucial for addressing operational bottlenecks.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, particularly in the context of distributed processing services and containerized workloads. Think of scenarios where you've tackled complex challenges and be ready to explain your thought process.
