Turning Space into a Transportation Layer for Earth
Eras of humanity can often be defined by a dominant transportation mode - horse drawn chariots, ocean going boats, or aircraft. These were spurred by a small group of people rigorously focused on building technology to achieve faster access to more of the world. We seek to usher in a new era of humanity defined by universal access to the whole globe free of borders and the presence of a routine way from space to Earth. To do this, we are building highly maneuverable re-entry vehicles that can loiter in orbit before precision landing back on Earth.
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
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)
- 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.)
Our office headquarters is located in Playa Vista, CA. This position requires in office presence.
The California annual base salary for this role is currently $ 126,000 - $142,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.
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What We Do
Inversion is developing low-cost, high cadence re-entry vehicles. Returning cargo & resources will be essential for humanity to continue to grow within low-earth orbit and beyond.
We believe in a future where returning from space is as common as launching to space.
Join us: https://boards.greenhouse.io/inversionspace
