Member Of Technical Staff (Software Engineer, Acceleration)
Perplexity is seeking creative, AI-pilled engineers to join our Acceleration team. Our company is reshaping the way people navigate the internet and the wider world.
What this role actually needs.
Perplexity is seeking creative, AI-pilled engineers to join our Acceleration team. Our company is reshaping the way people navigate the internet and the wider world. Responsibilities: - Identify, prioritize, and execute on the highest-potential opportunities to accelerate Perplexity’s delivery cadence with frontier AI capabilities. - Develop empathy for the nuances of our technical and business teams’ work across disciplines and verticals, toward collaborating with them to harness AI in new ways. - Make our codebases, systems, and knowledge stores legible to AI. - Help the company triangulate toward the optimal point on the quality-velocity Pareto frontier, while shifting that frontier outward with AI tools and agents. - Keep abreast of new AI tools/models and make maximally effective use of them in your own work, setting an example across the company and inspiring others to do the same. - Help the company make high-conviction bets on specific technologies in situations where indecision is a comfortable and tempting default. Requirements: - 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. - Daily use of AI models/tools, along with strong intuition on their jagged frontiers. - Proficiency with Python, along with experience and/or desire to learn more about Rust, TypeScript, Go, and other languages. - 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. - 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.) - An obsession with improving the legibility of (and reducing brittleness in) both software and human-orchestrated processes. Company context: Perplexity is an answer engine — an AI-native search product used by millions of professionals daily.
Day-to-day expectations
Perplexity lists these responsibilities for the Member Of Technical Staff (Software Engineer, Acceleration) role.
- Identify, prioritize, and execute on the highest-potential opportunities to accelerate Perplexity’s delivery cadence with frontier AI capabilities.
- Develop empathy for the nuances of our technical and business teams’ work across disciplines and verticals, toward collaborating with them to harness AI in new ways.
- Make our codebases, systems, and knowledge stores legible to AI.
- Help the company triangulate toward the optimal point on the quality-velocity Pareto frontier, while shifting that frontier outward with AI tools and agents.
- Keep abreast of new AI tools/models and make maximally effective use of them in your own work, setting an example across the company and inspiring others to do the same.
- Help the company make high-conviction bets on specific technologies in situations where indecision is a comfortable and tempting default.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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.
- Daily use of AI models/tools, along with strong intuition on their jagged frontiers.
- Proficiency with Python, along with experience and/or desire to learn more about Rust, TypeScript, Go, and other languages.
- 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.
- 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.)
- An obsession with improving the legibility of (and reducing brittleness in) both software and human-orchestrated processes.
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Member Of Technical Staff (Software Engineer, Acceleration) is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
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$250K - $405K is visible before the click, so candidates can compare the role against local market expectations before applying.
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: jobs.ashbyhq.com · Source ID: c03bf199-9faa-48a4-809d-095c72b06000 · Confidence: 94/100 · Last checked: May 7, 2026
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