manager software engineering Engineering Manager hybrid 5+ yrs · Posted Apr 13, 2026
$300,000 – $485,000
USD per year

About this role

Perplexity is hiring a manager-level Engineering Manager in the software engineering function based in San Francisco, CA. The posting calls out experience with CUDA, Kubernetes, TensorFlow, PyTorch and roughly 5+ years of relevant work. Compensation is listed at $300,000–$485,000 per year.

Role
Engineering Manager
Function
software engineering
Level
manager
Track
hybrid
Employment
Full-time
Location
San Francisco, CA
Experience
5+ years
Department
AI
Posted
Apr 13, 2026
AI Summary
Lead AI inference engineering team building and scaling infrastructure powering Perplexity's products. Own technical direction of inference systems, architect large-scale ML model deployment, and mentor engineers. Requires 5+ years engineering experience with 2+ years technical leadership and deep ML systems expertise.

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Job description

from Perplexity careers

About the Role

We are looking for an Inference Engineering Manager to lead our AI Inference team. This is a unique opportunity to build and scale the infrastructure that powers Perplexity's products and APIs, serving millions of users with state-of-the-art AI capabilities.

You will own the technical direction and execution of our inference systems while building and leading a world-class team of inference engineers. Our current stack includes Python, PyTorch, Rust, C++, and Kubernetes. You will help architect and scale the large-scale deployment of machine learning models behind Perplexity's Comet, Sonar, Search, Deep Research products.

Why Perplexity?

  • Build SOTA systems that are the fastest in the industry with cutting-edge technology

  • High-impact work on a smaller team with significant ownership and autonomy

  • Opportunity to build 0-to-1 infrastructure from scratch rather than maintaining legacy systems

  • Work on the full spectrum: reducing cost, scaling traffic, and pushing the boundaries of inference

  • Direct influence on technical roadmap and team culture at a rapidly growing company

Responsibilities

  • Lead and grow a high-performing team of AI inference engineers

  • Develop APIs for AI inference used by both internal and external customers

  • Architect and scale our inference infrastructure for reliability and efficiency

  • Benchmark and eliminate bottlenecks throughout our inference stack

    This is an excerpt. Read the full job description on Perplexity careers →
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