Acceler8 Talent
Base pay range
$170,000.00/yr - $200,000.00/yr
We’re building the first true
AI Deployment Network
— enabling seamless, vendor‑agnostic deployment of AI workloads across distributed GPU infrastructure. The goal: unlock massive performance and cost gains for real‑time inference at scale.
You’ll join a small, senior team of engineers with deep experience in infrastructure and AI systems, backed by top‑tier investors and building from first principles.
Design and build backend systems that orchestrate distributed GPU workloads in real time.
Develop scalable microservices for scheduling, telemetry, and performance optimization.
Collaborate with ML and infra teams to integrate model‑serving and deployment pipelines.
Help shape the architecture, reliability, and culture of a high‑impact early team.
5+ years building and scaling backend or distributed systems.
Strong in Java or Go/Spring Boot, with solid systems design skills.
Experience with Kubernetes, Docker, and cloud‑native infrastructure.
Deep understanding of distributed computing, networking, and microservices.
Build the backbone for real‑time AI at scale.
High ownership and equity in a deeply technical, founder‑led team.
Hybrid in San Francisco, with fast iteration and meaningful impact.
Work alongside engineers who’ve scaled leading AI and infra systems.
Apply now and help define the future of AI infrastructure!
#J-18808-Ljbffr
We’re building the first true
AI Deployment Network
— enabling seamless, vendor‑agnostic deployment of AI workloads across distributed GPU infrastructure. The goal: unlock massive performance and cost gains for real‑time inference at scale.
You’ll join a small, senior team of engineers with deep experience in infrastructure and AI systems, backed by top‑tier investors and building from first principles.
Design and build backend systems that orchestrate distributed GPU workloads in real time.
Develop scalable microservices for scheduling, telemetry, and performance optimization.
Collaborate with ML and infra teams to integrate model‑serving and deployment pipelines.
Help shape the architecture, reliability, and culture of a high‑impact early team.
5+ years building and scaling backend or distributed systems.
Strong in Java or Go/Spring Boot, with solid systems design skills.
Experience with Kubernetes, Docker, and cloud‑native infrastructure.
Deep understanding of distributed computing, networking, and microservices.
Build the backbone for real‑time AI at scale.
High ownership and equity in a deeply technical, founder‑led team.
Hybrid in San Francisco, with fast iteration and meaningful impact.
Work alongside engineers who’ve scaled leading AI and infra systems.
Apply now and help define the future of AI infrastructure!
#J-18808-Ljbffr