Senior Aerodynamics Systems Engineer-Motorsports Job at General Motors (Concord)

Job Description

The Team: GM’s Motorsports Platform & Systems 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, IndyCar, IMSA, and now Formula 1 sportscar teams! The Role: This position is a Senior Aerodynamics/CFD Systems Engineer to support development of a new Software team focused on Aero & Computational Fluid Dynamics. For this role you will expected to have progressive, demonstrated success in software development experience developing applications using a variety of tools, languages, frameworks, and technologies.

Job Responsibility

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

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

Nice to have

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 experience using RPC, REST, GRPC in high-throughput, latency-sensitive backend workflows
Background with Azure or other cloud HPC/PAAS/SAAS platforms, particularly for distributed compute scaling, cluster workloads, or simulation hosting
Team leadership or architecture experience in simulation platforms, high-performance compute systems, or large distributed backend infrastructures
Knowledge of stateless or functional system design, especially beneficial for scalable pipeline processing
Familiarity with efficient serialization formats (Avro, Protocol Buffers) for large scientific or simulation datasets
Advanced knowledge of AI/ML, especially applied to surrogate modeling, simulation acceleration, or processing pipeline optimization
Passion for Motorsports and fast-paced engineering environments where CFD and simulation pipelines accelerate performance development

What we offer

An incentive pay program offers payouts based on company performance, job level, and individual performance
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

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Senior Aerodynamics Systems Engineer-Motorsports

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