Principal Graph Analytics Engineer

Job Description

Work Classification:

Hybrid: This means the successful candidate is expected to report to their primary location (Milford MI) three times per week at minimum or other frequency dictated by the business.

The Role:

We are seeking a Principal Engineer with deep expertise in Graph Theory to lead the design of advanced algorithms and data structures for complex large-scale systems within the Vehicle Systems & Embedded Engineering (VSEE) organization supporting our transition to a next-generation Software Defined Vehicle (SDV) architecture. This role is ideal for a hands-on technical leader with a PhD in Mathematics Computer Science or related field with a strong research record in graph theory and a track record of successfully applying that work to real-world engineering problems.

You will be the principal technical authority for how we model analyze and exploit large-scale vehicle network and backend graphs guiding top-level architectural decisions that shape how the broader technical community applies graph-based analysis to solve difficult SDV engineering challenges.

You will shape technical strategy mentor senior engineers and partner with cross-functional stakeholders to deliver high-impact solutions grounded in rigorous mathematics. This is not a pure research role; success requires translating advanced theoretical work into scalable maintainable production systems and influencing how multiple teams adopt and apply these methods. While not expected to be the primary implementer for all systems you will remain technically hands-on through prototyping reviews and critical-path contributions.

In the context of SDV example problem spaces include:

• Analyzing software service and configuration dependency graphs to understand impact risk blast radius and safe rollout strategies (including OTA updates)

• Optimizing compute network and storage placement and performing fault and safety analysis using graph-based representations of in-vehicle and offboard systems

• Building and querying graph-based knowledge and lifecycle models that connect requirements architecture implementation verification and fleet data for SDV

What Youll Do:

• Set graph-based technical direction: Own the graph-theoretic architecture and strategy for SDV-relevant systems and platforms including standards for correctness scalability and reliability.

• Apply advanced graph theory to SDV problems: Formulate key SDV challenges such as graph-based modeling or combinatorial optimization problems and drive advanced graph-based algorithms (including for NP-hard classes) from prototype to production.

• Design and review graph-based systems: Lead end-to-end designs that use graph-based models across data compute and APIs partnering with platform and infrastructure teams to ensure workloads are efficient observable and resilient.

• Elevate the graph-based technical community: Mentor senior and staff engineers align cross-functional teams on problem framing and solution approaches and provide internal and external thought leadership (design reviews talks publications).

Your Skills & Abilities (Required Qualifications):

• Masters in Mathematics Computer Science Operations Research or a closely related field with a strong focus on graph theory.

• 8 years of post-education experience in algorithm design and large-scale systems with a proven track record of applying graph-theoretic concepts to real engineering problems and taking models from prototype to production.

• Deep expertise in graph-based algorithms and optimization including:

  • Core graph-based algorithms (e.g. paths flows connectivity matchings spanning trees graph search spectral methods).

  • Network and combinatorial optimization with practical approaches to NP-complete and NP-hard problems (e.g. relaxations approximation algorithms heuristics).

  • Analysis of algorithms: time/space complexity and probabilistic/approximation analysis.

• Strong software engineering skills:

  • Proficiency in at least one systems or production language (e.g. C Rust Java Go) and one high-level language (e.g. Python).

  • Experience with data structures distributed systems concepts and performance optimization.

• Demonstrated ability to:

  • Lead multi-team multi-quarter initiatives as the primary technical owner.

  • Communicate complex mathematical ideas clearly to both technical and non-technical stakeholders.

  • Make pragmatic trade-offs between theoretical optimality and engineering constraints.

What Can Give You A Competitive Edge(Preferred Qualifications):

• PhD in Mathematics Computer Science Operations Research or a closely related field with a strong focus on graph theory.

• 10 years of post-education experience in algorithm design and large-scale systems with a proven track record of applying graph-theoretic concepts to real engineering problems and taking models from prototype to production.

• Experience building or working with graph databases graph processing frameworks or large-scale graph analytics platforms.

• Contributions to peer-reviewed publications in graph theory algorithms or related areas.

• Experience in one or more domains where graphs are central such as:

  • Routing logistics and network design

  • Recommender systems and knowledge graphs

  • Dependency analysis and configuration management

  • Reliability resilience or fault propagation in complex networks

• Prior experience as a Principal / Staff / Distinguished Engineer or equivalent with:

  • A track record of raising the technical bar across teams.

  • Experience mentoring PhD-level talent and senior engineers.

About GM

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