- Custom CUDA or Triton kernel development with measurable wins on real workloads.
- Direct experience training models at 10B+ parameters or on 1000+ GPU clusters.
- Familiarity with cluster orchestration and job scheduling (Slurm, Kubernetes) at scale.
- Experience with mixed precision (BF16, FP8), quantization-aware training, or other numerical work that has shown up in production training runs.
- First-author papers or technical reports on training systems, scaling, or model efficiency.
Why this role?
Frontier model training is one of the hardest systems problems in the world right now, and most of the people doing it well sit at a small handful of labs. You will be doing the same work, with the same autonomy, and your impact will be visible in every model Sarvam ships.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
- Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
- High ownership and high impact, from day one
- Everything we do is AI-first, from the way we build and ship to the way we think about problems
- You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.