About the Role
As a High-Performance Computing (HPC) Software Engineer at Inversion, you will work as part of the simulation team to design, develop, and optimize software for use on the high-performance computing systems that comprise the simulation and test environments for our flight systems. The simulation team is responsible for ensuring that flight software and flight hardware can be continuously integrated and tested under realistic flight conditions. You will play a key role in the design and development of a highly scalable simulation and analysis framework that will enable fast, repeatable development and deployment workflows across the engineering stack. Your work will empower Inversion’s engineering teams to iterate rapidly throughout the development life cycle and will strengthen Inversion’s ability to put our products into the hands of our customers with unprecedented speed and agility.
What You'll Do
- Design and develop the software framework and infrastructure needed to enable on-demand, high-performance computing (HPC) simulation workflows
- Optimize computational models and numerical algorithms to minimize computational costs
- Leverage parallelization techniques and specialized hardware (like GPUs) to maximize throughput
- Contribute to the design and development of a simulation system capable of automatically provisioning and deploying resources to support simulation workflows
Required Qualifications
Candidates must meet all of the following qualifications to be considered for this position:
- 6+ years of professional experience in high-performance, distributed, or cloud computing
- Expertise in HPC development and best practices
- Proficiency in one or more scripting languages (Python, Lua, Bash, PowerShell, etc.)
- Proficiency in one or more HPC languages (C/C++, Julia, Fortran, Rust, etc.)
- Experience with Linux-based systems
- Experience with one or more HPC architectures (cluster, distributed, parallel, etc.)
The ideal candidate will also meet one of the following qualifications:
- Expertise in GPU acceleration (CUDA, OpenCL, etc.)
- Expertise in HPC-specific technologies such as parallel/distributed file systems (Lustre, GPFS), high-speed interconnect fabrics (Infiniband, Omni-Path), and batch scheduling software (PBSPro, SLURM)
Desired Qualifications
- Experience with modern DevOps practices
- Experience with cloud computing platforms (AWS, Azure, GCP, OpenStack, CloudStack, etc.)
- Familiarity with one or more open-source cloud computing platforms (OpenStack, CloudStack, etc.)
- Familiarity with containerization (Docker, Docker Compose, etc.)
- Familiarity with system observability tools (Prometheus, Grafana, ELK, etc.)