Senior Aerodynamics Systems Engineer – Motorsports

General Motors

Senior Aerodynamics/CFD Systems Engineer developing software solutions for GM's Motorsports team. Collaborating with teams to support innovative aero-thermal applications and computational fluid dynamics.

Posted 4/17/2026full-timeConcord • North Carolina • 🇺🇸 United StatesSenior💰 $125,200 - $192,700 per yearWebsite

Tech Stack

Tools & technologies

DockerGRPCJavaKubernetesMicroservices.NETPythonScala

About the role

Key responsibilities & impact

Implement and maintain GM Motorsports aero-thermal applications including CFD model construction, visualization, and analysis using microservices architectures to creatively integrate loosely coupled systems.
Define a templated approach to integrate dependent systems in a functional programming model.
Scrum story delivery.
Playbooks, implementation architectures, interfaces, build frameworks, code, testing, deployment for your story.
Participation in solution architectures.
Working with other members to collaborate, support, and otherwise work together.

Requirements

What you’ll need

5+ years hands‑on full‑stack or backend‑focused development experience, with strong emphasis on server‑side architectures supporting batch processing, multi‑stage pipelines, and compute‑intensive workloads (e.g., CFD workflows, large numerical simulation pipelines, HPC job orchestration).
2+ years designing and developing backend web services (REST/GRPC) including server‑side batch execution engines, distributed compute orchestration, asynchronous task processing, and workflow automation for CFD or similar computational pipelines.
Demonstrated experience building high‑performance server‑side processing frameworks, including parallelized job execution, distributed scheduling, queue‑based workloads, and fault‑tolerant pipeline management.
Strong experience with pipeline‑oriented architectures, such as CFD post‑processing chains, multi‑stage data conditioning workflows, large model computation pipelines, or batch‑driven scientific/engineering processing systems.
Proficiency in two or more backend‑focused languages or ecosystems: Java, Python, Scala, C#/.NET, or equivalent, used to build distributed compute services and processing automation.
Experience with containerized compute environments (Kubernetes, Docker), especially for scaling simulation services, HPC workflow endpoints, or compute‑heavy microservices.
Solid understanding of software development best practices, DevOps, CI/CD, observability (metrics/logging/tracing), and reliability engineering for long‑running, high‑load backend systems.
Experience working in an agile/scrum environment, especially on teams delivering simulation pipelines, compute orchestration services, or backend system components.
Demonstrated ability to articulate sound technical decisions and deep understanding of distributed, event‑driven, or batch‑processing architectures, especially those powering HPC, CFD simulations, or multidisciplinary compute workloads.
Highly collaborative mindset with strong communication skills, especially when working with simulation engineers, aerodynamicists, data engineers, and HPC platform teams.

Benefits

Comp & perks

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs
employee assistance program
GM vehicle discounts and more.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

CFD model constructionmicroservices architecturefunctional programmingbackend web servicesbatch processingdistributed compute orchestrationasynchronous task processingpipeline-oriented architecturesJavaPython

Soft Skills

collaborationcommunicationagile methodologyproblem-solvingteamworktechnical decision-makingadaptabilitycreativityleadershipreliability engineering