CFD Process Engineer- Aero CFD Platform; Motorsports

The Team

GM’s Motorsports Software team analyzes, defines, and delivers next generation groundbreaking Motorsports IT software solutions. Using both innovative cloud-based infrastructure and software development standards, these solutions enable innovative interactions between GM Global Engineering, GM Motorsports, and our Race teams that accelerate our drivers to the finish line first!

Our combined team of analysts, architects, developers, data engineers, testers, and project managers work with GM Motorsports Engineering and Race teams to ensure podium wins for GM’s NASCAR, Indy Car, IMSA, and now Formula 1 sportscar teams!

This position is a Senior CFD Process Engineer to support development of a new Software team focused on Aero & Computational Fluid Dynamics. For this role you will be expected to have progressive, demonstrated success in software development experience developing applications using a variety of tools, languages, frameworks, and technologies.

• 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.

• 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, Dev Ops, 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.

• Bachelor’s degree (or higher) in Computer Science, Software Engineering, Aerospace, Mechanical Engineering, or a related technical discipline—CFD or scientific computing experience is a strong plus.
• Experience with VR frameworks (Unity, Unreal Engine) for simulation or CFD visualization.
• Experience with distributed compute or streaming frameworks such as Akka, MQTT, Pulsar, Kafka, or Azure Event Hubs, especially for orchestrating compute pipelines.
• Integration…