Job Summary

We are seeking a Staff Software Engineer to join our ADAS HMI team within the Interactive Experience platform. In this role, you will define the architecture and technical direction for production software on automotive System-on-Chip (SoC) platforms thatpowersdriver-facing alerts, controls, and situational-awareness experiences. You will also build the next generation of our driver monitoringsystem from the ground up. You will lead complex, multi-team systems that process ADAS and vehicle data while meeting demanding requirements for latency, reliability, startup time, compute, memory, security, safety, and maintainability.

The ideal candidate is a recognized SoC software expert whooperateswith broad latitude in a complex environment, turns ambiguous cross-domain requirements into practical system designs, and drives critical workstreams from concept through vehicle launch. This role is focused on SoC software; experience building and deploying machine-learning models on resource-constrained edge devices is a strong differentiator.

Job Responsibilities

• Define and evolve end-to-end SoC architecture spanning ADAS data producers, vehicle interfaces, operating-system services, middleware, hardware accelerators, and downstream HMI applications.

• Architect and build a next-generation drivermonitoringsystem from the ground up, spanning camera and sensor inputs, on-device perceptionand inference, driver-state interpretation, vehicle interfaces, diagnostics, and HMI integration.

• Lead the design and development ofproductionSoC applications and services using C/C++, including data processing, state management, inter-process communication, and platform integration.

• Translate ambiguous product, vehicle, safety, and system requirements into practical cross-domain designs with clear boundaries, interfaces, data flows, timing budgets, diagnostics, failure modes, and validation strategies.

• Drive architecture reviews and align teams on technical trade-offs involving performance, memory,compute, startup behavior, security, safety, reliability, and long-term maintainability.

• Own complex multi-team workstreams through design, implementation, integration, performance tuning, vehicle validation, release, launch support, and maintenance.

• Establish architecture and engineering practices for reliable, low-latency pipelines that collect, normalize, and expose ADAS and vehicle data to multiple on-device consumers.

• Foresee integration and delivery risks across ADAS algorithm,perception, HMI, platform, systems, safety, and vehicle integration teams; develop mitigation plans and remove critical blockers.

• Define quality standards and release criteria across related SoC codebases, including code review, static analysis, automated testing, performance benchmarking, observability, and structured release processes.

• Diagnose and lead resolution of complex cross-system issues involving IPC, scheduling, memory use, concurrency, operating-system behavior, hardware acceleration, and vehicle integration.

• Develop practical technology roadmaps for SoC services and edge-compute capabilities across vehicle programs and platform generations.

• Mentor senior and mid-level engineers on SoC architecture, C/C++ development, performance analysis, system debugging, execution discipline, and cross-team technical leadership.

• Communicate technical direction, risks, trade-offs, and deliverystatus clearlyto senior engineering leadership and cross-functional stakeholders.

Job Qualifications

• Bachelor's degree or Bachelor of Applied Science in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field, with 5–8 years of relevant software engineering experience; or equivalent practical experience with 10–12 years delivering production software.

• Staff-level experience designing and shipping complex embedded or SoC-based production systems with multi-team scope, broad technical ambiguity, and end-to-end accountability.

• Deep C/C++ development experience for SoC applications, services, or middleware.

• Hands-on experience with Embedded Linux, QNX, or a comparable SoC operating environment, including IPC, multithreading, and system resource management.

• Demonstrated system designexpertiseacross application, middleware, data, operating-system, and hardware boundaries, including interfaces, data flows, state management, failure modes, and validation strategies.

• Proven ability to own roadmaps, commitments, risks, dependencies, and release quality without day-to-day direction.

• Experience diagnosing andoptimizingcomplex integrated systems using logs, traces, profilers, memory-analysis tools, performance benchmarks, and automated tests.

• Strong written and verbal communication skills, including the ability to influence architecture and priority decisions across teams without direct authority.

Preferred Skills

• Experience building,optimizing, and deploying production machine-learning models on edge or embedded devices.

• Experience with ML frameworks and edge-inference runtimes such asPyTorch, TensorFlow, ONNX Runtime,TensorRT, or comparable technologies.

• Experience developing driver or occupantmonitoringsystems, in-cabin computer vision, camera pipelines, or real-time perception software.

• Experience with SoC hardware accelerators such as GPUs, NPUs, orDSPsand the software stacks used to access them.

• Experience with automotive middleware and communication technologies such as ROS 2, SOME/IP, DDS, shared memory, or service-oriented IPC.

• Experience processingperceptionoutputs and sensor data.