Sr. Staff Vehicle Guidance Engineer - #2130178

Company

Arriver Software GmbH

Job Area

Engineering Group, Engineering Group > Systems Engineering

General Summary

Job Description

At Qualcomm, we are transforming the automotive industry with our Snapdragon Digital Chassis and building the next generation software defined vehicle (SDV).

Snapdragon Ride is an integral pillar of our Snapdragon Digital Chassis, and since its launch it has gained momentum with a growing number of global automakers and Tier1 suppliers. Snapdragon Ride aims to address the complexity of automated driving and ADAS by leveraging its high-performance, power-efficient SoC, industry-leading artificial intelligence (AI) technologies and pioneering vision and drive policy stack to deliver a comprehensive, cost and energy efficient systems solution.

Enabling safe, comfortable, and affordable autonomous driving includes solving some of the most demanding and challenging technological problems. From centimeter-level localization to multimodal sensor perception, sensor fusion, behavior prediction, maneuver planning, and trajectory planning and control, each one of these functions introduces its own unique challenges to solve, verify, test, and deploy on the road.

We are looking for a lead engineer to help drive autonomous vehicle guidance, bridging disciplines of prediction, planning, and control to enable robust and capable closed loop operation. Candidates should have a strong theoretical background in algorithm and system design, experience with software such as C++ and Python, and a willingness and drive to push the boundaries of state-of-the-art autonomous planning and control, including advancements in AI.

This is a leadership role, where the ideal candidate has a breadth of experience leading multiple, interdisciplinary teams across algorithm development and system design, software architecture and mapping to embedded ADAS hardware. Candidates would collaborate with multiple departments and disciplines across Qualcomm to lead innovation across the industry.

In This Role, You Will

Leadership and Collaboration:

• Provide leadership and works together with other senior leads to effectively operate the Automotive Vehicle Guidance department.
• Network with cross-functional teams and leverage other resources to acquire knowledge of ADAS industry trends and advances in the field.
• Provide supervision and guidance to other team members while having a significant influence over key organizational decisions.
  
  
  

Technical Expertise And Development

• Apply knowledge of ADAS Systems to develop and enhance technologies for autonomous driving.
• Research and develop novel algorithms to solve difficult problems related to planning and decision making under uncertainty, robust control, and the role of modular and end-to-end stack architectures in complex driving scenarios.
• Implement ideas in software (Python and C++) and collaborate with software and machine learning engineers on development.
  
  
  

Performance Monitoring And Improvement

• Establish and track key performance indicators (KPIs) to evaluate the effectiveness of algorithmic strategies and drive continuous improvement.
• Work closely with test engineers to develop test plans to validate performance in simulations and real-world testing.
  
  
  

Communication

• Need to convey complex information, often requiring negotiation, influence, and tact, which will require strong verbal and written communications skills. Write detailed technical documentation and descriptions of research findings for projects to ensure engineers can implement research.
  
  
  

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
  
  
  

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

• Preferred Qualifications:
• Ph.D. , 5+ years industry experience in the areas of behavior prediction, behavior planning, motion planning, vehicle controls, and modern AI techniques
• Proven experience in autonomous driving, machine learning or applied robotics domains.
• 5+ years of experience with programming languages such as Python, C++ etc.
• Experience with robust software design for safety-critical systems.
• Analytical and scientific mindset, with the ability to solve complex problems along with passion to take research ideas to production.
• Experience leading technical teams to deliver complete end-to-end solutions that include both classical and data-driven approaches including requirements/architecture/design, implementation and testing
• Experience with simulators for automated driving
• Experience with vehicle path planning techniques, including numerical optimization, graph search, and modern data-driven, AI-based approaches to decision making
• Experience in commercialization of ML/AI systems
• Proficient in various areas including Large Language Models, Diffusion, Reinforcement Learning, and Machine Learning for Planning
• Published work in conferences or journals focused on Autonomous Driving, Machine Learning, or Robotics
• Knowledge of FuSa, SOTIF, Cyber Security, and other related safety practices
• 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 [email protected] 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).

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