Publié le mois dernier
Database engineer
@ turbopuffer
Télétravail au Canada
En bref
turbopuffer is hiring a database engineer to improve its search engine across storage, indexing and querying. The work is performance-heavy systems engineering in Rust-style low-level code, with customer-facing collaboration and clear documentation.
Responsabilités :
- Design and implement search engine improvements
- Performance tuning and profiling
- Evolve search primitives and APIs
- Work closely with customers on workloads
- Write clear documentation
Résumé des exigences :
- Extensive systems language experience
- Expertise in search, storage or distributed systems
- Strong Linux and debugging skills
- Clear communication and writing
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-09-30
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
turbopuffer
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
serverless {vector, full-text} search from first principles on object storage. faster, 10x cheaper, extremely scalable
Description complète de l’entreprise
turbopuffer is a fast search engine that combines vector and full-text search using object storage, making all your data easily searchable. Using only object storage for state and NVMe SSD with memory cache for compute, turbopuffer scales horizontally to handle billions of documents. The system caches only actively searched data while keeping the rest in low-cost object storage, offering competitive pricing. Cold queries process 1 million vectors in 500ms (p90), while warm queries take just 20ms (p50). This architecture means it's as fast as in-memory search engines when cached, but far cheaper to run. Storing data in cache and object storage costs less than traditional replicated disk systems, even for frequently accessed data.
- Abonnés LinkedIn
- 7 114
- Personnes associées sur LinkedIn
- 37
- Catégories d’activité
- Information Technology
- Database
- Autres noms enregistrés
- turbopuffer
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
turbopuffer is a fast search engine that combines vector and full-text search using object storage, making all your data easily searchable. Using only object storage for state and NVMe SSD with memory cache for compute, turbopuffer scales horizontally to handle billions of documents. The system caches only actively searched data while keeping the rest in low-cost object storage, offering competitive pricing. Cold…
| Champ | Valeur |
|---|---|
| Secteur | Technology, Information and Internet |
| Taille | 11-50 employees |
| Type d’organisation | Privately Held |
| Fondée en | 2023 |
| Offres sur Jobsy | 4 |
| Voir la page |
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
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