AI Library Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Develop and evolve developer-facing APIs for the MAX framework, enabling scalable inference and training for AI models. Lead API design, inference/training paradigms, and cross-functional collaboration to deliver coherent Python/Mojo surfaces, clear RFCs, and high-quality reference implementations that balance performance, portability, and developer experience.

Location: Seattle, San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Influence the design of the API surface for MAX: namespaces, core abstractions, extension points, programming model, compatibility guarantees and developer experience.
•Design inference APIs that support real-world serving needs: model loading, distributed inference, quantization, tokenization/pipelines, configuration surfaces, batching/streaming, and deployment-oriented ergonomics.
•Design training APIs that scale from single device to distributed execution, with clear primitives for device placement, parallelism, checkpointing, and observability.
•Create a coherent programming model across Python and Mojo-adjacent surfaces: align naming, types, and conventions; avoid leaky abstractions; define the "pit of success".
•Drive RFCs and technical specs: write and socialize proposals; gather feedback from internal model engineers and external users; iterate towards consensus.

Pay and Benefits

Perks:Health Insurance401kEquityRemote Work

Key Requirements

•Significant experience designing and evolving developer-facing APIs (SDKs, frameworks, or platforms).
•Strong understanding of modern AI frameworks and their design tradeoffs (e.g., PyTorch, JAX, TensorFlow, vLLM).
•Experience with inference and training systems (model execution graphs, compilation, runtime scheduling, distributed execution, checkpointing, performance tuning).
•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.
•Excellent taste for API ergonomics: naming, composability, types, error handling, configurability, and clarity.

Experience:AIMLDeveloper tools

Skills:API designPythonC++RustGoMojoPyTorchJAXTensorFlowVLLMDistributed systemsCheckpointsCompiler/runtime

Tech Stack:PythonC++RustGoMojoPyTorchJAXTensorFlowVLLMXLAMLIRDistributed scheduling

Company Brief

Modular

Provides infrastructure and developer tools to build, deploy, and scale large AI models and foundation-model applications, including model hosting, orchestration, and SDKs to accelerate AI product development.

Industry: AI & Machine Learning

Website

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Modular

4 weeks ago

AI Library Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Seattle, San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Influence the design of the API surface for MAX: namespaces, core abstractions, extension points, programming model, compatibility guarantees and developer experience.
•Design inference APIs that support real-world serving needs: model loading, distributed inference, quantization, tokenization/pipelines, configuration surfaces, batching/streaming, and deployment-oriented ergonomics.
•Design training APIs that scale from single device to distributed execution, with clear primitives for device placement, parallelism, checkpointing, and observability.
•Create a coherent programming model across Python and Mojo-adjacent surfaces: align naming, types, and conventions; avoid leaky abstractions; define the "pit of success".
•Drive RFCs and technical specs: write and socialize proposals; gather feedback from internal model engineers and external users; iterate towards consensus.

Pay and Benefits

Perks:Health Insurance401kEquityRemote Work

Key Requirements

•Significant experience designing and evolving developer-facing APIs (SDKs, frameworks, or platforms).
•Strong understanding of modern AI frameworks and their design tradeoffs (e.g., PyTorch, JAX, TensorFlow, vLLM).
•Experience with inference and training systems (model execution graphs, compilation, runtime scheduling, distributed execution, checkpointing, performance tuning).
•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.
•Excellent taste for API ergonomics: naming, composability, types, error handling, configurability, and clarity.

Experience:AIMLDeveloper tools

Skills:API designPythonC++RustGoMojoPyTorchJAXTensorFlowVLLMDistributed systemsCheckpointsCompiler/runtime

Tech Stack:PythonC++RustGoMojoPyTorchJAXTensorFlowVLLMXLAMLIRDistributed scheduling

Company Brief

Modular

Industry: AI & Machine Learning

Website