Senior Software Engineer

Design, build, and operate scalable compute systems supporting training, inference, and scientific workloads

Design, build, and operate scalable compute systems supporting training, inference, and scientific workloads

Contribute to architecture and design decisions around compute infrastructure, scheduling, and resource management

Take ownership of key engineering projects, from design through to production and iteration

Improve system reliability, performance, and observability across compute and infrastructure components

Collaborate with platform and infrastructure teams to ensure seamless integration and efficient resource usage

Drive best practices in system design, testing, and operational excellence

5-8 years of experience in software engineering with a focus on backend, infrastructure, or platform systems

Strong proficiency in Python and experience building production-grade systems

Experience with distributed systems and compute-heavy or high-throughput environment

Solid understanding of system design, scalability, and reliability principles

Experience working with cloud infrastructure (e.g. AWS) and operating systems in production

Experience with large-scale compute platforms or infrastructure

Exposure to ML infrastructure or model execution environments

Experience with PyTorch, CUDA, or running custom models in production

Experience designing or operating workflow orchestration systems

Track record of optimizing systems for cost-efficiency at scale