{"id":899858,"url":"https://alion.io/job/lemurianlabs-runtime-engineer","title":"Runtime Engineer","company":{"id":679667,"name":"Lemurian Labs","domain":"lemurianlabs.com","url":"https://alion.io/company/lemurianlabs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":151000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":4013},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":true},{"name":"HPC","optional":true},{"name":"JAX","optional":true},{"name":"PyTorch","optional":true},{"name":"ROCm","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-02-13T02:46:59Z","employer_posted_date":"2026-03-25","last_verified_at":"2026-10-25T10:32:45Z","board_verified":true,"closed_at":null,"days_open":254,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":254},"description":"About Us\nAt Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster.\nWe're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law.\nWe're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us.\nAbout the Role\nWe're looking for a Runtime Engineer to design and build the multi-target runtime that sits at the heart of our AI compiler stack. This is a systems-level role where you'll take the output of our optimizing compiler and make it execute - efficiently, correctly, and at scale - across a diverse landscape of hardware targets.\nYou'll work on low-level parallelization, kernel scheduling, and performance analysis, and collaborate closely with our compiler and product teams to push the boundaries of what's possible on modern AI hardware.\nWhat You'll Do\nDesign, develop, maintain, and improve our multi-target runtime.\nApply the latest techniques in parallelization and partitioning to automate kernel generation and exploit highly optimized execution paths.\nRapidly prototype and data-drive exploration of new runtime ideas.\nBenchmark and analyze the outputs produced by our optimizing compiler on target hardware.\nBuild tools to collect and analyze performance bottlenecks.\nWork closely with our product team to understand the evolving needs of ML engineers and drive improvements in runtime architecture.\nRequirements\nEssential Skills and Experience\nBS degree in Computer Science, Computer Engineering, or equivalent practical experience.\n4+ years of experience working with compilers or runtime systems.\nDeep understanding of asynchronous and concurrent programming.\n4+ years of experience with C/C++ (C++14 or newer).\nUnderstanding of hardware architecture: vector vs. scalar registers and instructions, memory hierarchies.\nKnowledge of operating system kernel development or hypervisor development.\nPreferred Skills and Experience\nMaster's or PhD in Computer Science, Computer Engineering, or equivalent.\nExperience developing or maintaining GPU compute libraries such as CUDA or ROCm.\nExperience with GPU programming and optimization.\nBackground in high-performance computing (HPC).\nKnowledge of deep learning frameworks such as PyTorch, JAX, or Triton.\nExperience programming large compute clusters.\nWhy Join Lemurian Labs\nBuild the runtime that makes next-generation AI infrastructure actually go fast.\nWork across the full stack - from hardware intrinsics to compiler output to distributed execution.\nJoin a team that approaches infrastructure as a canvas, not a constraint.\nCompetitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits.\nLemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background.\nCompensation depends on experience and geographic location and will be narrowed during the interview process. 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