Joblaze summary

In this role, the software engineer will focus on developing and maintaining distributed systems that support large-scale AI training and evaluation platforms. Key skills include proficiency in backend programming languages like Python or Rust, along with experience in cloud infrastructure and container orchestration tools such as AWS and Kubernetes. This position is ideal for candidates with at least two years of experience in building reliable, scalable systems, particularly those with a background in AI and machine learning infrastructure. The team emphasizes craftsmanship and ownership, fostering an environment where engineers can take initiative and collaborate closely.

Joblaze insights

Listed today — first seen on Joblaze October 25, 2026. Last confirmed on Perplexity AI's careers page October 25, 2026.
Python appears in 47.2% of 485 comparable mid ai/ml roles in United States; ML infrastructure appears in 0.2% of 485 comparable mid ai/ml roles in United States.

Quick facts

How much experience is required?: At least 2 years of relevant experience for this Member of Technical Staff (Software Engineer, Training Infrastructure) role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, C++, Go, Kubernetes, ML infrastructure, Python.
What seniority level is this role?: Perplexity AI targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Member of Technical Staff (Software Engineer, Training Infrastructure) role at Perplexity AI.

From the original posting

Perplexity is seeking software engineers to join our Training Infrastructure 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.

We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more!

A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration.

Qualifications

2+ 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.

Why Perplexity is different

Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

Member of Technical Staff (Software Engineer, Training Infrastructure)

Qualifications

Why Perplexity is different

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