AI Framework Engineer Los Altos, CA · Hybrid

Modular Inc; Los Altos, Northern (CA, KY); Hybride; USD 120 000 - 222 000; Plein temps

Avantages offerts par ce poste

Healthcare coverage

RSU grants

Team on-sites

Résumé du poste

Modular Inc. is building a next-generation AI platform. We are seeking an AI Framework Engineer for MAX to design and implement the developer-facing API surface, enabling inference and training across Python and Mojo-adjacent surfaces.

You will collaborate across compiler/runtime, kernels, cloud/serving, and documentation teams to ship coherent, high-performance APIs. You will work on core abstractions, model loading, distributed inference, quantization, and tooling, with a focus on performance,

Qualifications

• Experience designing developer-facing APIs for AI/ML systems.
• Strong understanding of modern AI frameworks and tradeoffs.
• Proficiency in one or more systems languages (C++, Rust, Go).
• Proficiency with Python; Mojo familiarity is a plus.
• Ability to write clear specs and API ergonomics.

Responsabilités

• Develop the API surface for MAX: namespaces, core abstractions, extension points, programming model, compatibility guarantees.
• Design inference APIs for model loading, distributed inference, quantization, batching, deployment ergonomics.
• Create training APIs for single-device to distributed execution with device placement primitives.
• Align Python and Mojo-adjacent surfaces, naming, types, and conventions.
• Draft RFCs and specs, gather feedback, iterate toward consensus.
• Collaborate with compiler/runtime, kernels, cloud/serving, and documentation teams.
• Develop reference implementations and exemplar code for teams to copy.

Connaissances

API design

Developer APIs

C++/Rust/Go

Python familiarity

Mojo familiarity

Outils

PyTorch/JAX/TF

XLA/MLIR

Description du poste

View all jobs AI Framework Engineer Los Altos, CA MAX Hybrid Full-time

About Modular

At Modular, a Qualcomm company , we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges. If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value.

About this role

At Modular, we are building a next generation AI platform to power modern applications and facilitate access to cutting-edge hardware. The MAX Framework is our developer-facing layer: it defines the APIs developers use to express models, integrate custom kernels, orchestrate execution, iterate on quality and ship systems into production. As an AI Framework Engineer for MAX, you will work with core APIs and developer experience for inference and training of AI models. You will work at the intersection of API design, systems engineering, and modern AI frameworks. Your output will be the implementations that make MAX feel coherent, powerful, and intuitive to use — while preserving performance, portability, maintainability and TCO. LOCATION: Candidates based in the US are welcome to apply. This role will be based at our Los Altos, CA headquarters (minimum 3 days per week on-site) with relocation assistance provided for out-of-state candidates based in the US.

What you will do

• 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.

What you bring to the table

• 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.

What Modular brings to the table:

• Amazing Team.We are a progressive and agile team with some of the industry’s best engineering and product leaders.
• World-class Benefits.In order to attract the best, we need to offer the best. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities. Please note that specific benefit packages may vary based on your location, you can read more about benefits offered by Qualcomm here.
• Competitive Compensation.We offer very strong compensation packages, including RSU grants. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce.
• Team Building Events.We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.

Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world. The estimated base salary range for this role to be performed in the US, regardless of the state, is The estimated base salary range for this role to be performed in the US, regardless of the state, is $120,000.00 - $222,000.00 USD. The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of total compensation. For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply, as we may have upcoming openings at lower or higher levels than the one advertised.