Qualcomm
Automotive Demo Platform - Sr. Staff Engineer
$170K–$255K
San Diego, California · On-site · Senior Staff · Full-time · Posted Sep 17, 2026
- Experience
- The posting lists 7+ years in automotive software-stack development, 5+ years in Android application development, 3+ years leading global teams, and 3+ years programming; minimum qualifications also specify degree-dependent alternatives of 6+, 5+, or 4+ years. Preferred qualifications state 15+ years of relevant industry experience.
- Education
- Bachelor’s, master’s, or PhD in Engineering, Information Systems, Computer Science, or a related field; no equivalent-experience option is stated.
About the job
Leads development of automotive prototype-vehicle software across infotainment, telematics, and ADAS, coordinating engineering teams and delivering end-to-end system designs.
What you'll do
- Lead a focused team of software developers and testers across automotive infotainment, telematics, and ADAS.
- Own the prototype vehicle software system and collaborate across internal and external teams to deliver it.
- Travel internationally and participate in vehicle testing and data collection as needed.
What they ask for
- 7+ years designing and developing software modules in modern automotive stacks on Android, Linux, or QNX; 5+ years in Android application development with understanding of Android Automotive OS.
- 3+ years leading global engineering teams; hands-on experience with MQTT, DDS, SOME/IP, FlatBuffers, or Protocol Buffers.
- Experience developing non-cloud agentic AI solutions using technologies such as LLMs, A2A, A2UI, and MCP servers.
- Bachelor’s degree and 6+ years, master’s degree and 5+ years, or PhD and 4+ years of relevant work experience; 3+ years programming experience.
Nice to have
- B.S. or M.S. in a related field with 15+ years of relevant industry experience.
- Experience building hardware systems or prototype vehicles.
Pay
$169,800.00 - $254,600.00 (base salary)
Tools
Android, Linux, QNX, MQTT, DDS, SOME/IP, FlatBuffers, Protocol Buffers
AI focus
Develop non-cloud agentic AI solutions using LLMs, A2A, A2UI, and MCP servers.
Model-written summary · the original posting is authoritative