Member of Technical Staff (Software Engineer, Model Platform)
Join Perplexity AI as a staff software engineer to enhance our model serving platform for AI products and infrastructure.
Posted by employer 2 weeks ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
You will work at the intersection of distributed systems, AI products, and infrastructure.
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the engineer will focus on developing and enhancing the model serving platform that integrates AI products with inference layers, ensuring a seamless experience for teams. Key skills include proficiency in backend languages like Rust and Python, along with experience in building reliable, large-scale systems. This position is ideal for seasoned engineers with a strong technical background and a passion for evolving AI technologies. Perplexity AI emphasizes craftsmanship and ownership, fostering a collaborative environment among talented peers.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Perplexity AI's career page.
- Perplexity AI has 115 other open roles including Member of Technical Staff (Applied AI Engineer, Agent Capabilities), Strategic Business Operations Lead, API, Technical Customer Success Manager, API.
- 6536 active Python roles on Joblaze right now.
- 2739 active AWS roles on Joblaze right now.
- 2580 active Kubernetes roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3234 roles). See Python salary trends
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Member of Technical Staff (Software Engineer, Model Platform) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Kubernetes, Python, Rust.
- What seniority level is this role?
- Perplexity AI targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff (Software Engineer, Model Platform) role at Perplexity AI.
From the original posting
About Perplexity AI
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between both product and infrastructure advancements in our technology.
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.
About the Role
Perplexity is looking for a deeply technical software engineer to own and evolve our model serving platform, which is responsible for connecting our products and research systems with our inference layers. This mission-critical system gives teams one fast, reliable interface across providers.
You will work at the intersection of distributed systems, AI products, and infrastructure. You will make it dramatically easier for teams across Perplexity to adopt new models, run rigorous experiments, and ship dependable products.
The ideal candidate combines sound technical judgment forged in production systems with active curiosity around the rapidly changing capabilities and failure modes of frontier models. You will design core abstractions, lead high-conviction technical decisions, and write production Rust and Python for a service that serves hundreds of millions of model requests per day.
Required Qualifications
5+ years of experience building and shipping large-scale systems and services with high reliability, availability, and performance.
Strong software engineering craft, with special care for developer experience and designing future-proof systems that can evolve along with a rapidly advancing AI landscape.
Proficiency with a general-purpose backend language (Python, Rust, C++, Go) and cloud infrastructure (AWS, Kubernetes).
BS, MS, or PhD in Computer Science, Engineering, or related fields (or equivalent experience).