Design and implement the MAX Framework’s developer-facing APIs for AI inference and training. Responsibilities include creating APIs for model serving, distributed execution, quantization, tokenization, batching, checkpointing, and observability; aligning Python and Mojo programming models; writing technical RFCs; collaborating with compiler, runtime, kernel, cloud, and documentation teams; and developing reference implementations and best-practice examples.
About Modular
About this role
What you will do
What you bring to the table
What Modular brings to the table:
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.
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.
- 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.
- 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.
- 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.
Modular Los Altos, California, USA Office
Los Altos, CA, United States
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