AI Systems Engineer

At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.

To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.

We are looking for an AI Systems Engineer to join our growing team. Our current stack is Python, Rust, C++, PyTorch, Triton, CUDA, Kubernetes. You will have the opportunity to work on large-scale deployment of machine learning models for real-time inference.

Responsibilities

• Develop robust APIs for AI inference used by both internal and external customers
• Design, deploy, and maintain scalable, reliable infrastructure for deploying machine learning models
• Benchmark system performance, diagnose bottlenecks, and implement improvements across the inference stack
• Enhance system reliability and observability by integrating modern monitoring and alerting tools
• Respond swiftly to system outages and collaborate across teams to maintain high uptime and performance

Qualifications

The cash compensation range for this role is $190,000 - $250,000.

Equity : In addition to the base salary, equity

may be part

of the total compensation package.

Benefits : Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.