Member of Technical Staff (Software Engineer, Training Infrastructure)

Aptiora; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Aptiora is building and maintaining large-scale RL and agent-evaluation platforms used by Perplexity to train state-of-the-art models and optimize agent harnesses.

We are seeking engineers who have shipped distributed systems for compute-intensive workloads, are proficient in Python, Rust, C++, or Go, and have experience with cloud infrastructure and Kubernetes. A background in RL or ML infra is a strong plus.

Qualifications

• Experience building and shipping distributed systems for compute-intensive workloads with reliability, scalability, and performance focus.
• Proficiency in Python, Rust, C++, or Go; experience with cloud infra and container orchestration (AWS, Kubernetes).
• Familiarity with RL, agent evaluation, or ML infrastructure; interest in accelerating experimentation and model development.
• BS/MS/PhD in CS/Engineering or related field, or equivalent practical experience.

Skills

Distributed systems

Backend languages

Education

Bachelor/Master/PhD in CS/Engineering

Tools

AWS

Kubernetes

Container orchestration

Job description

team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses.

What the employer asks for

• + years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance.
• Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes.
• Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development.
• BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.

Not stated in the posting

• Work model (remote, hybrid or on-site)
• Day-to-day responsibilities
• Required languages

Ask about these before you invest time in an application.

Does this role fit you?

Inside Aptiora, the employer’s requirements are compared with your own career evidence: what is supported, what is missing and what to check before applying.