Engineering Group Leader - Autonomous Interface Abstraction

Description

The Role:

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.

What You'll do:

Technical & Product Leadership

• 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.

Delivery & Execution

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.

Cross-Functional Collaboration

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).

Scope & Interfaces

The AIA EGM's scope includes:

Functional domains:

• Interfaces for autonomous control of closures, lighting, thermal comfort, seating/occupant positioning, and other body functions via abstraction.
• Interfaces to chassis and propulsion abstractions as needed to support AV features and modes.

Layers & platforms:

• Abstraction at the Ultifi / SDV platform layer, coordinating with domain-specific SWCs and lower-level drivers.
• Consistent patterns for request/response, events, and state management across domains.

Use cases:

• Autonomy-driven behaviors (e.g., automated ingress/egress, maneuvering, charging flows).
• Complex modes that combine multiple domains and require centralized orchestration.

Your Skills & Abilities (Required Qualifications)

• 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.

What Will Give You A Competitive Edge (Preferred Skills)

• 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.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

The salary range for this role is $217,000 - 333,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job may be eligible for relocation benefits.

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Client-provided location(s): Mountain View, CA

Job ID: General_Motors-JR-202603457

Employment Type: FULL_TIME

Posted: 2026-02-26T00:17:11