Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure
Lila Sciencesabout 3 hours ago
Base Salary
$224k - $294k/yr
Responsibilities
- Transform research tools and workflows into scalable, efficient systems.
- Collaborate with scientists to develop ML and physics infrastructure.
- Ensure reliable execution of workflows across multiple compute environments.
- Optimize GPU utilization and improve performance for scientific workloads.
- Architect systems for job orchestration and workflow traceability.
- Package scientific tools into reusable services or APIs.
- Document systems and establish engineering patterns for research teams.
Requirements
- Strong software engineering skills in Python.
- Experience with ML, scientific computing, or simulation codebases.
- Knowledge of distributed systems for research or data-intensive workloads.
- Practical experience with GPU computing and performance profiling.
- Familiarity with orchestration and scheduling systems like Kubernetes or Slurm.
- Ability to improve architecture and maintainability of research code.
- Strong debugging skills across various environments and data pipelines.
Benefits
- Comprehensive medical, dental, and vision coverage.
- Employer-paid life and disability insurance.
- Flexible time off with generous company-wide holidays.
- Paid parental leave and educational assistance program.
- Commuter benefits and subsidized lunch program.