Note: The job is a remote job and is open to candidates in USA. Modular, a Qualcomm company, is building a next-generation AI platform and its developer-facing MAX Framework for modern AI applications and hardware. The AI Library Engineer will design and implement inference and training APIs, establish coherent programming models, write technical specifications, collaborate across engineering teams, and create reference implementations and examples.
Responsibilities
- Develop the API surface for MAX: namespaces, core abstractions, extension points, programming model, compatibility guarantees and developer experience
- Develop and design inference APIs that support real-world serving needs: model loading, distributed inference, quantization, tokenization/pipelines, configuration surfaces, batching/streaming, and deployment-oriented ergonomics
- Develop training APIs that scale from single device to distributed execution, with clear primitives for device placement, parallelism, checkpointing, and observability
- Contribute to a coherent programming model across Python and Mojo-adjacent surfaces: align naming, types, and conventions; avoid leaky abstractions; define the "pit of success"
- Work on technical RFCs and technical specs: write and socialize proposals; gather feedback from internal model engineers and external users; iterate towards consensus
- Partner cross-functionally with compiler/runtime, kernels, cloud/serving, and documentation/DevRel teams to ensure APIs map cleanly to underlying capabilities
- Develop reference implementations and exemplar code: golden-path examples, architecture templates, and best-practice patterns that teams can copy
Skills
- Passion for designing **developer-facing APIs** (SDKs, frameworks, or platforms)
- Good understanding of modern AI frameworks and their design tradeoffs (e.g., **PyTorch, JAX, TensorFlow, vLLM**, XLA/MLIR-adjacent ecosystems)
- Proficiency in one or more systems / performance languages (**C++, Rust, Go**) and one or more user-facing languages (**Python**; familiarity with Mojo is a plus)
- Good instincts and a passion for API ergonomics: naming, composability, types, error handling, configurability, and clarity
- Strong written communication: you can write specs that engineers can implement without ambiguity
- Passion for engineering standards, pragmatism, and a bias towards incremental development without compromising long term design
- Prior experience in an AI framework or library
- Prior experience in developer experience research
- Prior experience designing programming languages and abstractions
Benefits
- Premier insurance plans
- Up to 5% 401k matching
- Flexible paid time off
- Stock options
- Annual target bonus
- Equity
- Regular team onsites and local meetups in Los Altos, CA as well as different cities
Company Overview
Company H1B Sponsorship