Note: The job is a remote job and is open to candidates in USA. Modular is on a mission to revolutionize AI infrastructure by rebuilding the AI software stack. They are seeking an AI Inference Tools Engineer to build developer tooling for Modular's AI inference stack, enhancing the productivity of engineers who build and deploy AI models.
Responsibilities
- Enhance the MAX developer experience by creating tools that can be part of traditional and agentic workflows, by surfacing data through the entire AI stack, and by supporting a widening list of heterogeneous hardware platforms
- Design, build, and maintain key technologies that support the MAX framework, such as profiling and tracing tools, debuggers and associated tools to check correctness, and metrics and dashboards to monitor the performance and health of MAX deployments
- Create agent-native tooling: tools that can be used by humans and agents alike, and the agentic workflows that go around them. Write agents to bring up models, to triage issues with running systems, and to profile and optimize based on real workloads
- Connect MAX tools through the entire stack: by strengthening the tooling interfaces between MAX, Mojo, and the driver APIs they run on; and by integrating tool use cleanly with the orchestration layers above
- Participate in design discussions and code reviews to uphold high engineering standards
- Work directly with the kernel, model, and serving engineers who use your tools every day, and turn their recurring pain points into better tools
Skills
- Passion for creating exceptional developer experiences and an understanding of what makes great tools feel effortless
- Experience designing, building, and shipping developer tools, developer infrastructure, or observability systems that other engineers rely on
- Fluency in one or more systems/performance languages (C++, Rust, Go) and one or more user-facing languages (Python; familiarity with Mojo is a plus)
- Experience measuring software performance via profiling, tracing, or benchmarking, and the systems knowledge to analyze those results
- Clear written communication and the ability to work independently in a distributed team
- A user-focused mindset: you seek out the people who use your tools, learn their workflows, and prioritize what makes them more productive
- Experience with GPU performance tooling (Nsight Systems/Compute, rocprof, Perfetto, or similar) or GPU programming (CUDA, ROCm)
- Knowledge of basic AI implementation and modeling techniques and familiarity with AI frameworks like PyTorch, JAX, or TensorFlow
- Experience building tooling for AI agents (e.g. agent skills, MCP)
Benefits
- Premier insurance plans
- Up to 5% 401k matching
- Flexible paid time off
- Stock options
Company Overview