{"id":2913202,"url":"https://alion.io/job/normal-computing-compiler-backend-engineer","title":"Compiler Backend Engineer","company":{"id":39034,"name":"Normal Computing","domain":"normalcomputing.com","url":"https://alion.io/company/normalcomputing","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Apache TVM","optional":true},{"name":"IREE","optional":true},{"name":"LLVM","optional":true},{"name":"MLIR","optional":true},{"name":"PyTorch","optional":true},{"name":"Triton","optional":true},{"name":"XLA","optional":true}],"status":"live","first_seen_at":"2026-10-20T08:19:42Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T11:35:39Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Normal Computing | Build with Us\nNormal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.\nThe Role\nNormal's hardware runs the most memory-bound parts of large-model inference inside memory itself, rather than shuttling weights to a processor. The software that makes this programmable doesn't exist yet in any standard form. Getting a model correct on that hardware is the frontend's job; making it fast is yours. Our hardware does not look like a CPU or GPU, so its compiler backend can't be borrowed from one. As a Compiler Engineer focused on the backend, you will help design and build the custom compilation that maps LLM inference onto it, from scheduling and memory planning to the code our hardware actually executes.\nYou will work at the boundary between the compiler and the hardware, closely enough to know when an optimization belongs at a different layer, or when the right answer is a new abstraction. Our chip is pre-silicon, so you will measure your work against our simulators and FPGA prototypes first, and against silicon as it arrives.\nWhat You Will Own\nCode Generation: Build the passes that turn lowered programs into the code our hardware executes, designing new compilation approaches where conventional ones don't fit. Success means correct, efficient code for every operation our models need.\n\nScheduling and Memory Planning: Own how work and data are scheduled and placed across our hardware's resources, measured by utilization and end-to-end latency on LLM inference.\n\nFusion and Dispatch: Own fusion and dispatch decisions for LLM inference, so the hardware spends its time computing rather than moving data.\n\nHardware Co-Design: Work the abstraction layer between the compiler and the hardware, and feed compiler constraints back to our hardware architects while the design can still change.\n\nProfiling and Validation: Validate every optimization with measured results from simulators, FPGA prototypes, and then silicon, and maintain a performance regression suite the team trusts.\n\nCross-Team Handoffs: Take lowered programs from our frontend compiler engineers, and decide with the team which operations the compiler generates and which use hand-tuned kernels.\n\nWhat Makes You a Great Fit\nDeep experience with compiler optimization or code generation for accelerators or other non-CPU targets: scheduling, tiling, fusion, or resource allocation\n\nComfort working close to hardware: you think in terms of memory bandwidth and utilization as well as asymptotic complexity\n\nWillingness to design compilation approaches from first principles when existing ones don't fit the hardware\n\nTrack record of shipping optimizations that moved a measured performance number\n\nComfort building software for hardware that is still evolving, from simulation through bring-up\n\nFluency in Python, and familiarity with C, C++, or Rust\n\nBonus Points\nExperience with PyTorch's compilation stack (TorchDynamo, FX, Inductor, torch.export) or other ML compilers, such as IREE, TVM, or XLA\n\nExperience compiling for in-memory, spatial, or other non-von-Neumann compute targets\n\nBackground in hardware design tools such as logic synthesis or place-and-route\n\nExperience building or using cycle-level or performance simulators to guide optimization decisions\n\nContributions to open-source compiler or kernel infrastructure (e.g., PyTorch, Triton, TVM, MLIR, LLVM)\n\nPublishing or presenting compiler or performance work at venues such as MLSys, ASPLOS, or CGO\n\nEqual Employment Opportunity Statement\nNormal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.\nAccessibility Accommodations\nNormal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at .\nPrivacy Notice\nBy submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice.","description_format":"text","description_chars":4690,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","EDA Software","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-20T10:09:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":3,"green_card_filings_12m":0,"median_offered_wage_usd":262500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":67,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/normal-computing-compiler-backend-engineer","json_url":"https://alion.io/job/normal-computing-compiler-backend-engineer.json","meta":{"generated_at":"2026-10-23T13:37:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20355,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":39034},"rest":"https://alion.io/mcp/rest/get_company?id=39034"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnormal-computing-compiler-backend-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnormal-computing-compiler-backend-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnormal-computing-compiler-backend-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/normal-computing-compiler-backend-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnormal-computing-compiler-backend-engineer"}]}