À propos
5+ years backend engineering experience with distributed systems
Strong proficiency in Go, Python, or similar backend languages
Experience with resource scheduling, orchestration, and API design (REST, GraphQL, gRPC)
Understanding of hardware constraints and system optimization
Linux systems knowledge and containerization experience (Docker, Kubernetes)
Comfortable working with expensive resources where efficiency directly impacts costs
Excited about solving novel problems in AI infrastructure (not just another CRUD app)
Startup mindset—comfortable with ambiguity and rapid iteration
Knowledge of Mandarin
Bonus Qualifications
GPU or HPC cluster management experience
Understanding of ML,AI workload patterns and requirements
Experience with high-value resource allocation systems
Background in performance optimization for compute-intensive workloads
Familiarity with GPU virtualization and sharing technologies
Experience building billing or metering systems
Details We provide Competitive salary and equity based on your experience and skillset.
This is a Hybrid role - 3 days in office, 2 days WFH; Must locate in Palo Alto.
Applicants must be authorized to work in the United States without need for visa sponsorship.
#J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.