Dustin Gardner

Senior HPC platform engineer specializing in large-scale scientific simulation infrastructure, distributed systems, and cloud cost optimization. Architected simulation platforms supporting certification-scale aerospace analysis, reducing annualized AWS spend from $6.5M to $1.5M while enabling billion-second Monte Carlo campaigns.

Experience

Senior HPC Platform Engineer

2022 – Present

Blue Origin, Denver, CO

  • Reduced annualized AWS spend from $6.5M to under $1.5M through sustained architectural optimization across distributed compute orchestration, containers, CI/CD, and CPU-level tuning including affinity pinning and per-node resource optimization.
  • Delivered 1.5 billion seconds of simulated flight time across certification-scale Monte Carlo campaigns of 30,000+ runs, representing 50,000× throughput growth from early development baselines.
  • Built distributed orchestration integrating MATLAB/Simulink autocoded flight software with large-scale AWS compute, enabling tens of thousands of parallel simulation runs per campaign.
  • Designed map-reduce data pipelines and tree-structured merge strategies for efficient large-dataset processing, eliminating quadratic merge costs and enabling linear scaling.
  • Engineered production reliability at certification scale, diagnosing spot interruptions, scale-dependent race conditions, and silent container failures across tens of thousands of parallel jobs.
  • Built cost observability frameworks (Datadog, Prometheus) enabling per-campaign spend tracking; authored proposal to establish a dedicated HPC & Simulation Platform team to scale infrastructure across multiple spacecraft programs.
  • Serve as technical bridge between GNC engineers and infrastructure, translating flight dynamics requirements into distributed compute architecture and communicating system status to non-technical leadership.
  • Mentor 2 GNC engineers regularly on CS fundamentals, HPC patterns, and cloud infrastructure, with 3–5 additional informal mentees.

DevSecOps Tech Lead / Staff Software Engineer

2017 – 2022

Lockheed Martin Space, Denver, CO

  • Managed CI/CD and simulation infrastructure for 100+ engineers across 80+ servers, sustaining 40,000 jobs/week at 99.5% uptime. Promoted through three levels to DevSecOps Tech Lead.
  • Migrated 100+ legacy simulation and testbed workflows to cloud-native CI/CD in AWS with autoscaling compute.
  • Expanded Digital Twin initiative from concept to production as scrum master; delivered customer demonstrations to the Air Force.

Software Engineer Intern

Summers 2013–2016

Lockheed Martin Space, Huntsville & Denver

Graduate Teaching Assistant

2012 – 2016

Tennessee Tech, Cookeville, TN

Skills

Distributed Systems & HPC
Monte Carlo orchestration, map-reduce pipelines, CPU affinity optimization, large-scale reliability engineering
Cloud & Infrastructure
AWS (EC2, S3, EKS), spot fleets, autoscaling, Terraform, Docker, Kubernetes, Openshift, cost optimization
Observability & DevOps
Datadog, Prometheus, Grafana, GitLab CI, infrastructure-as-code, Linux admin (RHEL, Ubuntu)
Programming
Python, C/C++, Bash, Git

Education

M.S. Computer Science

May 2017 | 3.9 GPA

Tennessee Tech University

Advanced coursework in High-Performance Computing; Thesis: Autonomic Protection Systems

B.S. Computer Science, cum laude

May 2015 | 3.5 GPA

Tennessee Tech University

Minor: Statistical Mathematics

Other

Eagle Scout | Active in skiing, climbing, and mountaineering