Top Python Jobs in Houston, TX

Develop and maintain high-performance geophysical algorithms for seismic processing, imaging, and interpretation. Optimize and parallelize code for GPU and CPU HPC architectures (MPI/CUDA), participate in design, deployment, and lifecycle management, and work with a distributed team to ensure scalable, reliable software.

Lead installation, configuration, troubleshooting and delivery of Open iT products. Engineer and manage complex implementation projects, assist Delivery Manager, and mentor other engineers. Ensure automated installs, logging/monitoring, and cross-platform support across Windows and Unix/Linux environments.

Install, configure, test and deliver Open iT products in client environments. Collaborate with presales, perform deployments and troubleshooting across Windows/UNIX/Linux, use virtualization, logging/monitoring systems, automate installs, write scripts and technical documentation.

Manage and administer Linux systems and cloud environments. Write bash/shell/python scripts, administer OpenStack/AWS, and use configuration management tools (Chef/Puppet/Ansible). Collaborate and communicate with teams to support DevOps operations.

Perform Linux system administration, write bash/shell/python scripts, administer cloud environments (OpenStack/AWS), and manage configuration automation using Chef/Puppet/Ansible. Must communicate effectively and work as a W2 contract in Houston, TX.

The Performance Monitoring Associate develops indicators to monitor renewable energy assets, performs root cause analysis, and collaborates with engineering teams to enhance operational performance.

Design and implement advanced dexterous manipulation algorithms for high-DOF humanoid robots, integrate perception-to-control pipelines, develop digital twins in simulation, perform rigorous sim-to-real testing, and collaborate with ML teams to train and deploy models for complex manipulation tasks.

Build and maintain Python backend services and APIs for an economics engine: design scalable time-series processing, optimize MongoDB schemas and queries, deploy containerized services on GCP, ensure testability and code quality, use AI tooling to accelerate delivery, and own features end-to-end including monitoring and documentation.