Member of Technical Staff (Software Engineer, Acceleration)
$250k - $405k • Remote • San Francisco • FullTime
Posted 6h ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Engineer
About the job
The AI Acceleration team is dedicated to making Perplexity the premier platform for building and deploying AI agents. We develop the essential infrastructure that engineers and agents rely on, while also pioneering novel methods for agents to write, test, review, and ship code. Our work empowers teams to transition from concept to production more rapidly, without sacrificing quality or reliability. We oversee the entire development lifecycle at Perplexity, from the initial coding environment to the production deployment systems. This encompasses local and cloud coding environments, build and test infrastructure, code review processes, and release management. Furthermore, we are constructing autonomous software development systems where agents handle increasingly complex engineering tasks, supported by explicit evaluation, verification, and safety protocols. We are responsible for both the underlying infrastructure and the workflows that ensure these systems are effective.
Responsibilities
- Identify, prioritize, and deliver high-impact opportunities to accelerate software development and deployment with AI.
- Collaborate with engineering and business teams to understand workflows and build tailored solutions.
- Build and maintain infrastructure for development environments, build/test systems, code review, and release tooling.
- Enhance agent navigation and understanding of codebases and systems through improved tooling and documentation.
- Transition agent-driven workflows from prototype to production, implementing necessary evaluations and controls for safe delegation of complex engineering work.
- Improve delivery speed and software quality, measuring impact on development time, review effort, and production reliability.
- Evaluate emerging models and tools through experimentation, making data-driven technical decisions and driving adoption.
- Utilize AI extensively in engineering work, share best practices, and help colleagues adopt effective AI practices.
- Partner with leadership and recruiting to enhance hiring and development of AI-proficient engineers.
Requirements
- 5+ years of software engineering experience, with a focus on infrastructure, platform engineering, or developer productivity.
- Daily, hands-on experience with AI models and coding tools, including understanding their strengths, weaknesses, and verification methods.
- Strong proficiency in Python, Go, or Rust, with a willingness to learn other languages.
- Broad familiarity with cloud infrastructure, distributed systems, data pipelines, and ML tooling used by AI product and research teams.
- Ability to understand the workflows of engineers and researchers across disciplines and the needs of business teams.
- A drive to simplify codebases, systems, and processes through clear interfaces and reliable automation.
- Sound technical judgment for balancing experimentation, commitment, and pragmatic solutions.
- Experience building and operating systems for software development and deployment.