turbopuffer is looking for database engineers who want to advance the frontier of search.
what you'll do:
design and implement improvements across one or more layers of our search engine (storage, indexing, querying)
intensive performance hacking: tracing, CPU/heap profiling, optimizing data structures, using SIMD, tuning IO pipelines, etc.
evolve our search primitives and APIs (full text + vector + reranking)
work closely with customers to win their workloads and fold learnings back into the product
write crisp docs
must have:
systems engineering
you've worked extensively in a systems language (Rust, C++, Java, Go, etc.)
you think in memory layouts, cache lines, and syscalls
you methodically work through problems until you've found the root cause
domain expertise — you're an expert in at least one of the following domains
search internals (e.g., inverted indexes, ANN indexes, rerankers)
storage engines (e.g., LSMs, WALs, MVCC, compaction, GC)
distributed systems (e.g., replication, leases, fault injection, simulation/chaos testing)
linux — you're at home in terminals, eBPF/perf, strace, gdb
typist — you can write well and explain complex ideas simply
human — you build trust and admit what you don’t know
nice to have:
multiple years of experience writing Rust
you've maintained or operated serious systems in production, at scale
you've made interesting contributions to the databases, IR, or systems communities (e.g., research, open source, speaking)
additional domain expertise in:
k8s and cloud infra (GKE/EKS/AKS, disks and networking, load balancers, observability)
security (multi-tenant systems, isolation, sandboxing)
tpuf is hardcore & whimsical. we value:
overstep > understep
show > tell
complexity is earned
showing up as part of our customer’s team
making stuff easy to react to
