Staff Software Engineer ADAS
Job Summary
We are seeking a Level 8 Staff Software Engineer to lead complex Android Automotive and 3D visualization software for ADAS HMI experiences. This role involves defining system architecture, decomposing ambiguous product requirements, and driving multi-team execution for high-quality vehicle program delivery. The ideal candidate is a technical expert responsible for Android services, rendering performance, and cross-team architectural alignment.
Responsibilities
- Lead architecture and delivery of Android Automotive software for ADAS HMI.
- Design real-time 3D rendering pipelines and Android services.
- Manage multi-team workstreams from concept to production.
- Resolve complex system-level performance and stability issues.
- Mentor engineering teams and drive cross-functional alignment.
Required Skills
- Android Automotive/Platform development
- 3D Rendering (OpenGL, Vulkan, Unreal/Unity)
- System Architecture & Design
- ADAS and Infotainment systems
- Performance tuning and debugging (CPU/GPU/Memory)
Job Details
### Job Responsibilities
- Lead architecture, design, and delivery of Android Automotive software for ADAS HMI, camera/recording controls, and signal-driven visualization features.
- Define end-to-end system designs spanning Android Automotive UI, Android services, SoC middleware, ADAS data services, perception interfaces, platform integration, and vehicle signal inputs.
- Design and evolve 3D rendering capabilities for real-time ADAS visualization, including scene composition, rendering pipelines, asset/data integration, performance optimization, and stability under vehicle resource constraints.
- Own complex multi-team workstreams from concept through production release, including architecture reviews, technical decomposition, milestone planning, risk management, validation, and launch support.
- Translate ambiguous product, design, safety, and system requirements into practical software designs with clear interfaces, failure modes, test strategy, and operational ownership.
- Drive cross-functional alignment with ADAS algorithm, perception, infotainment, cluster, data recording, safety, product, and vehicle integration partners.
- Establish engineering practices that raise quality across Android Automotive and rendering codebases, including performance benchmarks, release gates, automated validation, and field-issue triage.
- Debug and resolve complex issues across the signal-to-pixel path, including Android lifecycle/service behavior, IPC, concurrency, rendering latency, memory pressure, GPU/CPU contention, and vehicle integration defects.
- Mentor senior and mid-level engineers on Android Automotive architecture, 3D rendering trade-offs, system design, execution discipline, and cross-team technical leadership.
- Communicate technical direction, risks, trade-offs, and delivery status clearly to engineering leadership and cross-functional stakeholders.
### Education / Experience Requirement
- Bachelor's degree or Bachelor of Applied Science in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical field, with 6-9 years of relevant software engineering experience; or equivalent practical experience with 10-12 years delivering production software.
### Required Qualifications
- Staff-level experience designing and shipping complex software systems with multi-team scope, broad technical ambiguity, and production accountability.
- Strong Android Automotive or Android platform development experience, including services, lifecycle, IPC, threading/concurrency, system integration, performance analysis, and production debugging.
- Hands-on experience building vehicle, embedded, infotainment, ADAS, robotics, simulation, gaming, or other real-time visualization software.
- Strong 3D rendering experience using technologies such as OpenGL, Vulkan, Filament, Unity, Unreal, Android graphics stack, scene graphs, shaders, GPU profiling, or similar rendering frameworks.
- Demonstrated system design skill across application, middleware, data, and platform boundaries.
- Proven execution accountability: ability to own roadmaps, commitments, risks, dependencies, and release quality without day-to-day direction.
- Experience diagnosing complex performance and reliability issues.
- Strong written and verbal communication skills.