Staff Software Engineer - ADAS Visual Experience

GM•Sunnyvale, CA

3d•Hybrid

About The Position

We are seeking a Level 8 Staff Software Engineer to lead complex Android Automotive and 3D visualization software for ADAS HMI experiences. This role backfills a senior technical leadership scope covering signal-driven ADAS visualization, Android services, rendering performance, and cross-team architecture execution. The ideal candidate is a recognized technical expert who can operate with broad latitude in a complex environment: defining system architecture, decomposing ambiguous product requirements, driving multi-team execution, and holding the team accountable for high-quality delivery across vehicle programs.

Requirements

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, with the ability to define interfaces, sequence diagrams, data flows, state machines, and validation strategies.
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 involving memory, CPU/GPU utilization, latency, frame drops, race conditions, service lifecycle, or cross-process communication.
Strong written and verbal communication skills, including the ability to influence architecture decisions across teams without direct authority.

Nice To Haves

Experience with Android Automotive OS, embedded Android, infotainment, cluster, ADAS HMI, camera systems, navigation, or vehicle visualization.
Experience with ADAS or autonomous driving concepts such as perception objects, lane-level navigation, localization, path planning, camera recording, sensor data, or driver assistance alerts.
Experience with vehicle signal interfaces, CAN, SOME/IP, DDS, AIDL, gRPC, protobuf, vehicle data services, or equivalent middleware/data transport.
Experience defining rendering performance budgets, GPU memory strategies, frame pacing, asset pipelines, texture management, level-of-detail strategies, or fallback rendering behavior.
Experience leading architecture reviews, technical readiness reviews, release planning, and production issue triage for safety-relevant or vehicle-integrated software.
Familiarity with automotive software practices such as ASPICE, ISO 26262 concepts, CI/CD, HIL/SIL validation, test automation, and structured release governance.

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.