Software Engineer ML Infra Systems – Senior

BS in Computer Science, Engineering, Math, Physics, or related degree with 4+ years of industry software development experience and MS in Computer Science, Engineering, Math, Physics, or related degree preferred with 2+ years
Strong grasp of system software, data structures, computer architecture, and machine learning fundamentals
Proficient in C/C++/Python development in Linux environment and using standard development tools
Experience with distributed, high-performance software design and implementation
Self-motivated team player with a strong sense of ownership and leadership.

Be part of the team that helps productize the SW stack for the AI compute engine
Responsible for the development, enhancement, and maintenance of the next-generation AI deployment software
Build and scale software deliverables in a tight development window
Work with a team of system software experts to build out the deployment infrastructure
Work closely with other software (ML, compilers) and hardware experts in the company.

MS or PhD in Computer Science, Electrical Engineering, or related fields
Experience with inference servers/model serving frameworks (such as TensorRT-LLM, vLLM, SGLang, etc.)
Experience with deep learning frameworks (such as PyTorch and TensorFlow)
Experience with deep learning runtimes (such as ONNX Runtime, TensorRT, etc.)
Experience with distributed systems collectives such as NCCL, OpenMPI
Experience with software testing fundamentals
Experience deploying ML workloads (LLMs, VLMs, NLP, etc.) on distributed systems
Experience with Kubernetes, Ray, or other MLOps tools and techniques used from definition to deployment
Prior startup, small team, or incubation experience
Work experience at a cloud provider or AI compute/subsystem company