MAX AI Inference & Serving Developer Advocate

Modular; United States; Hybrid; USD 150,000 - 225,000; Full time

Benefits offered by this job

Premier insurance

401k matching

Flexible PTO

Stock options

Job summary

Modular is seeking a Developer Advocate to evangelize MAX Platform's inference and serving capabilities. You will create guides, blog posts, and tutorials, and lead talks and workshops to empower the developer community.

Hybrid role with US/Canada candidates; travel to conferences and events is expected. You will collaborate with engineering and product teams and represent Modular at industry events, shaping MAX's adoption.

Qualifications

• Bachelor's degree in engineering, CS, or a related technical field.
• 2+ years of Product Management or related work experience.
• Experience creating technical content for developer audiences.

Responsibilities

• Provide support and respond to questions from customers evaluating MAX for inference and serving.
• Establish, run and publish benchmarks comparing MAX to vLLM, Triton Inference Server, and TensorRT-LLM.
• Foster an inclusive environment for ML engineers deploying models with MAX.
• Create tutorials, video guides, and examples showing how MAX handles inference and serving workloads on CPUs and GPUs.
• Write blog posts and educational content about MAX's inference and serving performance.
• Engage with the community on GitHub, Discord, X/Twitter, and LinkedIn.

Skills

Content creation

Python

C++

Public speaking

Video production

Education

Bachelor's degree in Engineering/CS

Tools

CUDA

ROCm

Mojo language

Job description

Modular is seeking a Developer Advocate to evangelize MAX Platform's inference and serving capabilities. You will create guides, blog posts, and tutorials, and lead talks and workshops to empower the developer community.

Hybrid role with US/Canada candidates; travel to conferences and events is expected. You will collaborate with engineering and product teams and represent Modular at industry events, shaping MAX's adoption.