Senior GPU, CUDA & ML-infrastructure engineer roles
34 open senior-level GPU, ML-systems, inference & performance roles across 13 companies, refreshed daily.
- open roles
- 34
- companies
- 13
- list salary
- 16 · $120K–$300K
- visa mention
- 5
- remote
- 4
Observed across current open postings, refreshed daily — not a survey. Salary band is drawn only from roles that publish a range. Salary breakdown →
At senior level in this niche the bar is usually demonstrated ownership of a hard system end-to-end — a kernel that shipped, an inference path you took from prototype to production, a training run you kept alive at scale — rather than years served. It is the largest level bucket on the board, which fits the field: the work is specialized enough that companies are mostly hiring people who already have the scars, not training them up. Senior here typically still means hands-on-keyboard depth, distinct from the staff and principal roles that lean toward cross-team technical direction.
See also: Staff & principal roles · who's hiring →