Software Engineer - Distributed

About the Company

Achira is building best-in-class foundation models to solve the most challenging problems in simulation for drug discovery and beyond. We are a world-class team of scientists, ML researchers, and engineers working to reshape the future of drug discovery through massive compute and frontier-scale ML infrastructure.

Responsibilities

• Architect, design, and optimize distributed compute infrastructure for ML data processing, training, and fine-tuning
• Improve cluster observability, scheduling, and resource utilization across CPU, GPU, and TPU
• Research and implement cost-efficient compute solutions including spot instances, auto-scaling, and multi-cloud strategies
• Develop tools for monitoring, debugging, and performance tuning of large-scale ML workloads
• Collaborate with ML engineers to accelerate training pipelines and reduce bottlenecks

Requirements

• Extensive experience building or working with distributed computing frameworks such as Ray, Dask, or Celery
• Strong grasp of parallel computing, job scheduling, and resource management
• Proficiency in identifying and resolving performance issues like profiling, bottlenecks, and network overhead
• Experience with cloud compute platforms (AWS, GCP, Azure) and cluster orchestration (Kubernetes, Slurm)
• Familiarity with ML frameworks such as PyTorch, TensorFlow, or JAX
• Understanding of MLOps best practices, model deployment, and GPU performance monitoring