
11 - 50 employees
π€ Artificial Intelligence
βοΈ SaaS
π€ B2B
Artificial Intelligence β’ SaaS β’ B2B
Lemurian Labs is a startup building Tachyon, an AI-focused software stack that eliminates the need for hand-written, hardware-specific kernels so AI workloads can run on any hardware or cloud while matching or exceeding the performance of hand-tuned kernels. Their platform emphasizes portability, performance, and productivity by overlapping communication with computation, system-wide scheduling, and enabling fast evaluation and migration between xPUs and clouds. Lemurian Labs positions Tachyon as "Accelerated Software" that frees researchers and companies from kernel fragmentation and vendor lock-in; they are recruiting beta testers (Summer 2027) and have publicly announced advisors/leaders including Kim Polese and Saman Amarasinghe.
π₯ 4 minutes ago
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11 - 50 employees
π€ Artificial Intelligence
βοΈ SaaS
π€ B2B
Artificial Intelligence β’ SaaS β’ B2B
Lemurian Labs is a startup building Tachyon, an AI-focused software stack that eliminates the need for hand-written, hardware-specific kernels so AI workloads can run on any hardware or cloud while matching or exceeding the performance of hand-tuned kernels. Their platform emphasizes portability, performance, and productivity by overlapping communication with computation, system-wide scheduling, and enabling fast evaluation and migration between xPUs and clouds. Lemurian Labs positions Tachyon as "Accelerated Software" that frees researchers and companies from kernel fragmentation and vendor lock-in; they are recruiting beta testers (Summer 2027) and have publicly announced advisors/leaders including Kim Polese and Saman Amarasinghe.
β’ Design and implement compiler frontend components including the lexer, parser, abstract syntax tree, and compiler passes. β’ Design and implement type inference and shape inference systems for the DSL. β’ Design clear, actionable error and warning diagnostics that help users understand and resolve problems in their programs. β’ Work within and extend a proprietary automatic reference counting system that governs memory management across the frontend. β’ Participate in code reviews to maintain code quality and ensure sound design decisions. β’ Collaborate through pair programming sessions. β’ Contribute to the full software engineering lifecycle: product specification, requirements gathering, high-level design, low-level design, implementation, and testing. β’ Help inform the design of future DSLs as the platform expands to other scientific computing domains.
β’ BS degree in Computer Science, Computer Engineering, or equivalent practical experience β’ Extensive experience designing and implementing domain-specific languages. β’ Deep expertise in compiler frontend engineering: lexical analysis, parsing, AST design, semantic analysis, and compiler passes. β’ Strong experience with type inference and shape inference systems. β’ Strong professional C++ background with modern C++ standards. β’ Deep understanding of automatic reference counting concepts and object lifetime management in C++, including thorough familiarity with the semantics of shared_ptr, weak_ptr, and unique_ptr. β’ Experience designing compiler diagnostics (errors and warnings) that are clear and useful to end users. β’ Experience across the full software engineering lifecycle: product specification, requirements gathering, high-level design, low-level design, implementation, and testing. β’ General familiarity with GPUs or other accelerator devices and their role in high-performance computing and machine learning workloads.
β’ Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits β’ Medical, dental, and vision coverage β’ Company bonus opportunities β’ Retirement savings plan β’ Supplemental wellness benefits
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