Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Salary
- $136,117–$183,700 / yr
- Posted
- 57 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays less than 68% of similar roles. Most pay $152,075–$208,800 — the shaded band above. At the midpoint, this role pays about $160k versus about $180k for comparable roles.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 660 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
As a Senior ADAS R&D Software Engineer, you will join a cutting-edge team focused on advancing autonomous driving technology by developing and refining advanced driver-assistance systems (ADAS). Your daily tasks will include enhancing sensor suites for accurate environmental interpretation, optimizing driving efficiency to reduce traffic congestion and emissions, and improving radar technology and sensor fusion algorithms. You will leverage deep learning algorithms to enhance vehicle perception capabilities and execute the networking stack to develop a robust sensor fusion pipeline that combines data from various sensors into a detailed 3D environment representation. The role requires expertise in C++, Python, and relevant machine learning frameworks, along with experience in automotive radar systems and sensor integration. This position plays a crucial role in shaping the future of autonomous driving by addressing complex technical challenges and contributing to industry standards for safety and sustainability.
Skills
What you'll do
- Develop standards for safety and regulation in ADAS systems.
- Enhance sensor technology to improve self-driving car accuracy.
- Optimize driving efficiency to reduce traffic congestion and emissions.
- Refine radar technology and sensor fusion algorithms for better perception.
- Implement networking stack for developing the sensor fusion pipeline.
- Use deep learning algorithms to enhance tracking capabilities of vehicles.
What we're looking for
- Master's degree in Electrical Engineering, Computer Engineering, or Computer Science.
- 5 years of progressive experience in ADAS R&D and related fields.
- Expertise in sensor fusion algorithms and radar technology optimization.
- Proficiency in deep learning for improving vehicle perception and tracking.
- Experience in developing networking stacks and sensor data integration pipelines.
- Ability to present technological advancements at industry events and conferences.
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