Member of Technical Staff (Software Engineer, Acceleration)

Join Perplexity, a company reshaping the way people navigate the internet. As a Member of the Technical Staff (Software Engineer, Acceleration), you will be part of the Acceleration team, which focuses on improving product and user experience through the use of AI tools and agents. You will work on software and process engineering to harness AI for maximum delivery velocity. The ideal candidate will have 5 to 15+ years of industry experience, proficiency in Python, and a strong understanding of AI tools and models.

• Identifying, prioritizing, and executing on opportunities to accelerate the company's delivery cadence with AI capabilities.
• Collaborating with technical and business teams to harness AI in new ways and improve product and user experience.
• Building prototypes and production systems, reengineering codebases, infrastructure, processes, and anything else that must evolve to realize the vision.
• The ideal candidate will possess sound technical judgment forged in the trenches of internet-scale companies, paired with voracious use of today’s most advanced AI tools/models and a capacious imagination to rethink how work gets done in the leading companies of tomorrow
• They should thrive in a hybrid role that marries facets of AI product development, infrastructure/platform engineering, developer experience, and more
• Strong understanding of (and empathy for) the work of technical staff across disciplines, along with an enthusiasm to learn about the work of business and operations teams
• Daily use of AI models/tools, along with strong intuition on their jagged frontiers
• 5 to 15+ years of industry experience, ideally with a substantial portion focused on infrastructure/platform engineering or developer acceleration in environments featuring significant technical complexity
• Proficiency with Python, along with experience and/or desire to learn more about Rust, TypeScript, Go, and other languages
• Broad working knowledge of the typical stacks used by AI product & applied research companies. (For example: you don’t need to have experience hand-rolling CUDA kernels, but you should know what CUDA is and when/where/why it’s used.)
• If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above
• Experience navigating tricky exploration-exploitation tradeoffs, balancing the need to ship today with the need to build capacity for tomorrow
• An obsession with improving the legibility of (and reducing brittleness in) both software and human-orchestrated processes