- Company
- Perplexity
- Role
- Member of Technical Staff (Software Engineer, Training Infrastructure)
- Team
- AI Research & Systems
- Location
- San Francisco, California, US
- Employment
- Full Time
- Posted
- 31 Oct 2026 by Perplexity
- Listed here until
- 30 Nov 2026 (or earlier, if the role closes)
- Base salary
- USD 220,000 to 405,000 per year (as stated by Perplexity)
You apply with Perplexity directly. FourWeekMBA is not the employer and does not collect applications.
About the role
The full job description as Perplexity published it on its careers site.
Perplexity is seeking software engineers to join our Training Infrastructure team. Weโre 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, youโll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. Youโll also define novel user and agent interfaces for designing, managing, and launching experiments. Youโll 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.
Perplexity is hiring: 136 open roles
Perplexity lists 136 open roles on its own careers feed today (3 Nov 2026), up 4 since our first read on 25 Oct 2026 (132). 38 were posted in the last 30 days and 62 are marked remote.
Roles posted per week (still open today, by the employer’s posted date):
7w/c 13 Oct
6w/c 20 Oct
8w/c 27 Oct
15
Perplexity by the numbers
- How Perplexity makes money: Perplexity business model on FourWeekMBA
- Where Perplexity ranks among the AI companies we track: AI Company Index
Why this role matters
- Engineering is 64 of Perplexity's 136 open roles (47%) on its careers feed today.
- Role titles mentioning training infrastructure: 1 open at Perplexity, 1 of them posted in the last 30 days; 10 of the 156 companies we track have at least one.
- Perplexity posted 38 of its open roles in the last 30 days (28% of what is open now), 15 in the last 7.
- By open roles, Perplexity ranks #22 of the 155 companies in the FourWeekMBA AI Company Index (as of 2026-11-01).
Every number above comes from Perplexity’s own careers feed, read daily by the FourWeekMBA AI hiring tracker, and from the AI Company Index.
Source: Perplexity careers, read 3 Nov 2026. This page is removed when Perplexity closes the role or on 30 Nov 2026, whichever comes first.