Engineering Group Leader - Autonomous Interface Abstraction

General Motors•Mountain View, CA

2d•$217,000 - $333,400•Hybrid

About The Position

The Engineering Group Manager – Autonomous Interface Abstraction is responsible for building and leading a software engineering team that delivers a reusable, low-latency abstraction layer between autonomous/SDV platforms and underlying vehicle domains (body, chassis, propulsion, and related subsystems). This leader will guide a team to design and own platform APIs that simplify how autonomous features request and orchestrate vehicle capabilities, while maintaining safety, performance, and architectural discipline. This is a hybrid role based out of our Mountain View office in California.

Requirements

Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or related field
Significant experience (typically 8+ years) in embedded or distributed automotive software with a focus on: Real-time controls, safety-critical or latency-sensitive systems. Platform/abstraction layer or API design across multiple components or domains.
Demonstrated success leading technical teams (people leadership and/or strong technical leadership roles) delivering complex software in production.
Define and drive architecture across multiple stakeholder teams.
Manage conflicting requirements (safety vs UX vs latency vs cost) and make principled trade-offs.
Communicate clearly with both engineering and non-engineering audiences.

Nice To Haves

Master’s degree preferred
Experience with autonomous vehicle systems, SDV architectures, or centralized vehicle controllers.
Background in vehicle motion controls, chassis, or propulsion abstraction layers.

Responsibilities

Own the Autonomous Interface Abstraction (AIA) platform strategy and roadmap, aligning with SDV2, Ultifi, and autonomous program milestones.
Define and evolve a common interface model and API contracts that expose vehicle capabilities (body, chassis, propulsion, perception-related actuators, etc.) to autonomous and SDV applications in a consistent, scalable way.
Ensure the abstraction layer: Simplifies integration for new autonomous and SDV features. Reduces net system complexity and duplication across domains. Preserves or improves end-to-end latency and determinism for safety- and UX-critical paths.
Drive architectural decisions in partnership with: Domain teams (Body Controls, Chassis, Propulsion, Diagnostics, etc.). Enterprise/embedded architecture and Ultifi platform teams. Autonomous feature and motion-planning teams (e.g., AV controls, perception/decision layers).
Champion platform thinking: design for reuse across programs and generations, not one-off program solutions.
Lead the full software lifecycle for the AIA platform: Requirements and blueprints (in partnership with systems engineering). Software design, implementation, and integration. Testing in isolation, CoSim, bench, and in-vehicle environments. Release readiness and support to program teams.
Establish and track clear execution metrics, such as: Latency and performance budgets by use case. Defect escape rate and rework. API reuse and footprint across programs. On-time delivery vs. SDV/AV milestones.
Ensure robust quality, safety, and security practices, including: Alignment to functional safety expectations where applicable. Compliance with internal software processes and automation requirements. Design choices that support diagnosability and observability.
Act as the primary technical and leadership interface between: Interface manager, chassis, propulsion, supercruise / ADAS and diagnostics leaders. SDV platform, and enterprise architecture teams. Vehicle program leadership and ART/Core PDTs.
Align stakeholders on: Scope boundaries between abstraction layer, domain software, and application layers. Ownership of arbitration, sequencing, and customization logic. Roadmaps and release content for major milestones (e.g., SDV2 BT1YL % events, key AV releases).