Sr. Staff Vehicle Guidance Engineer – Systems Engineering
| Company | Qualcomm |
|---|---|
| Location | San Diego, CA, USA |
| Salary | $146400 – $244000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
- Master’s degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
Responsibilities
- 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.
- 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.
- 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.
- 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.
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.