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Inboxbooster (YC W17) Is Hiring

Shape the Future of Computing We're building technology that automatically parallelizes Java applications by transforming bytecode post-compilation. Our proof of concept already shows a 2.8x speedup on real workloads without requiring source code changes. Now, we're looking for a brilliant JVM engineer to help turn this into a game-changing product. For a deep dive into our current approach and early results, check out our recent technical blog post (link-to-your-blog-post) showing 2.8x speedup through automatic bytecode parallelization or here (https://patents.justia.com/inventor/nicolas-toper) (for a really deep dive). The Role You'll work directly with our founding team to evolve our automatic parallelization engine from proof-of-concept to production-ready system. You'll dive deep into bytecode manipulation, control flow analysis, and concurrent execution patterns while helping shape our product strategy. The Challenge Transform our working prototype into a robust, production-grade system Extend parallelization capabilities to handle complex scenarios (branching, object references, exceptions) Design and implement sophisticated program analysis techniques Build tooling to make parallel execution safe and efficient across diverse codebases Help shape our product roadmap based on real-world use cases What You Bring Must Have Comfort with startup "lifestyle" (high expectation, high pressure, uncertainty, instability but a career defining opportunity if it works out) Deep understanding of JVM internals and bytecode manipulation Strong grasp of Java concurrency and thread safety principles Experience with control flow analysis and program transformation Solid background in parallel computing concepts Excellent problem-solving skills and attention to detail Strong written communication skills for remote collaboration Comfort with ambiguity and rapid iteration Nice to Have Experience with BCEL or similar bytecode manipulation libraries Background in building developer tools or performance optimization systems Familiarity with static analysis techniques Experience turning prototypes into production systems Previous remote work experience Startup experience Why Join Us The Opportunity Work on cutting-edge technology that could revolutionize software performance Shape the direction of a foundational product from its early stages Join as an early engineer with significant equity upside Learn and grow rapidly in a fast-paced environment Work remotely with a focused, talented team Benefits (US-based) Comprehensive health insurance 401(k) plan FSA availability Remote work setup Regular team on-site for collaboration Our Work Style Fully remote with quarterly in-person team meetings High autonomy and ownership Direct communication and rapid feedback Focus on impact over process Learn and adapt quickly About Us We're InboxBooster, an early-stage startup that began by solving critical email deliverability problems - helping companies stay out of spam folders. While building our email platform, we discovered an opportunity to dramatically improve software performance through automatic parallelization. This new direction emerged from our hands-on experience with high-performance systems. Our proof of concept already shows dramatic speedups on real workloads, and we're now building out a dedicated team to turn this into a transformative product. We believe computation is a cornerstone of modern society, and making it more efficient can have a massive impact. We're looking for engineers who are excited by both the technical challenge and the opportunity to shape a new direction. Next Steps If you're excited about pushing the boundaries of software performance and want to join an early-stage startup with massive potential impact, we'd love to talk. Send us: Your background (resume, LinkedIn, or just tell us your story) What interests you about this role Any relevant projects or experiences you'd like to highlight We look forward to hearing from you!

Transform our working prototype into a robust, production-grade system Extend parallelization capabilities to handle complex scenarios (branching, object references, exceptions) Design and implement sophisticated program analysis techniques Build tooling to make parallel execution safe and efficient across diverse codebases Help shape our product roadmap based on real-world use cases Must Have Comfort with startup "lifestyle" (high expectation, high pressure, uncertainty, instability but a career defining opportunity if it works out) Deep understanding of JVM internals and bytecode manipulation Strong grasp of Java concurrency and thread safety principles Experience with control flow analysis and program transformation Solid background in parallel computing concepts Excellent problem-solving skills and attention to detail Strong written communication skills for remote collaboration Comfort with ambiguity and rapid iteration Fully remote with quarterly in-person team meetings High autonomy and ownership Direct communication and rapid feedback Focus on impact over process Learn and adapt quickly

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