Full-Time
Senior Software Engineer
Intermodal freight transportation company
Senior
Los Angeles, CA, USA
- BS in Computer Science, Electrical Engineering or a similar Engineering discipline
- 4+ years of experience in an SDLC environment
- Experience shipping a Machine learning product end-to-end into production
- Experience in system-level software and resource utilization, parallelism and multiprocessing, and being able to debug problems across the stack
- Experience with container orchestration such as Docker, Kubernetes, and Airflow
- Experience with cloud computing such as AWS EC2/S3/RDS
- Experience with Python and machine learning frameworks such as PyTorch, TensorFlow
- Excited to work in a small, cross-discipline engineering team on challenging problems!
- Architect and implement large-scale data processing pipelines for images, videos, and other sensor inputs
- Architect hardware and software infrastructure that drives performance improvements of machine learning models
- Implement the end-to-end platform that supports machine learning operations
- Deliver company objectives and execute plans to hit schedule targets
- Mentor other software engineers and contribute to the perception team's technical growth
Parallel Systems is a pioneering startup in the intermodal transportation sector, focusing on decarbonizing freight and enhancing supply chain logistics and safety. They are developing autonomous and electric transportation systems for existing rail infrastructure, offering a competitive edge by enabling railroads to tap into the $700 billion U.S. trucking industry. Their commitment to a cleaner, automated rail future, demonstrated by their zero-emissions rail vehicles, positions them as industry leaders in infrastructure utilization and service improvement.
Company Stage
Series A
Total Funding
$58.5M
Headquarters
Los Angeles, California
Founded
2020