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$200,000 – $350,000
Listed on Modal’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A backend engineering role optimizing machine learning inference systems to run faster and more efficiently on GPUs. Suited for engineers who combine deep systems knowledge with hands-on experience tuning ML frameworks and kernels for production performance.
Our summary, not Modal’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years writing high-performance production code
- Experience with PyTorch and ML inference frameworks (vLLM or TensorRT)
- Familiarity with Nvidia GPU architecture and CUDA
- Demonstrated ML performance engineering work (GPU optimization, algorithm tuning, overhead reduction)
Nice to have
- Low-level operating system knowledge (Linux kernel, filesystems, containers)