{"id":50458,"url":"https://alion.io/job/nvidia-emulation-front-end-infrastructure-engineer","title":"Emulation Front-End Infrastructure Engineer","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":410,"ghost_share":0.01,"stale_share":0.534,"repost_share":0.032,"time_to_fill_p50_days":33,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Frontend","role_family":"Frontend","seniority":"senior","employment_type":"full_time","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":{"min":136000,"max":218500,"currency":"USD","period":"year","gross":null,"usd_annual":218500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false},{"name":"Synopsys Design Compiler","optional":false},{"name":"Synopsys ZeBu","optional":false},{"name":"SystemVerilog","optional":false},{"name":"Verilog","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-08-10T00:00:00Z","employer_posted_date":"2026-08-10","last_verified_at":"2026-10-16T21:36:25Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":67},"description":"NVIDIA has been pioneering accelerated computing for more than two decades-from the invention of the GPU to breakthroughs in AI, high-performance computing, robotics, autonomous vehicles, and gaming. Our Emulation Infrastructure team builds scalable hardware development platforms and compilation flows that enable pre-silicon validation of NVIDIA’s most complex designs.\nWe are now looking for a Emulation Front-End Infrastructure Engineer to join our team onsite in Santa Clara, CA.\nWhat you’ll be doing:\nOwn and evolve front-end compilation, synthesis, and flow infrastructure for NVIDIA hardware emulation platforms.\n\nDevelop, maintain, and automate robust compilation and synthesis flows using scripting and industry-leading EDA tools.\n\nRun, analyze, and debug regular compilation and synthesis regressions; help maintain RTL design stability in close partnership with logic designers.\n\nExplore and apply AI techniques to improve flow automation, triage compilation failures, identify recurring failure patterns, and accelerate root-cause analysis.\n\nEvaluate, deploy, and support EDA tools and methodologies for front-end implementation and emulation compilation.\n\nDiagnose complex compilation, elaboration, synthesis, and implementation issues, working closely with internal design teams and EDA vendors.\n\nImprove flow performance, reliability, scalability, usability, and observability across a large-scale hardware development environment.\n\nWhat we need to see:\nA BS degree in Electrical Engineering, Computer Engineering, or a related field (or equivalent experience) with 5+ years of relevant experience; or an MS degree in a related field with 3+ years of relevant experience.\n\nExperience with RTL compilation, synthesis, front-end design implementation, and flow automation.\n\nWorking proficiency in Verilog and SystemVerilog, including the ability to read, debug, and modify RTL for emulation needs.\n\nStrong understanding of RTL elaboration, synthesis, logic optimization, and front-end design methodologies.\n\nHands-on experience with front-end synthesis and compilation EDA tools, including Synopsys Design Compiler, ZeBu Compiler, and Cadence HDL-ICE.\n\nStrong automation and scripting skills in Python, Perl, Tcl, shell scripting, and Makefile-based flows.\n\nExperience running high volumes of jobs on distributed compute farms using workload schedulers such as LSF or Slurm, and using revision-control systems such as Perforce or Git.\n\nStrong debugging, problem-solving, communication, and cross-functional collaboration skills.\n\nWays to stand out from the crowd:\nExperience with hardware-emulation compilation flows and runtime bring-up or debugging is a plus!\n\nDeep expertise with Synopsys Design Compiler, ZeBu Compiler, and Cadence HDL-ICE.\n\nExperience building scalable regression, reporting, monitoring, and flow-debug infrastructure.\n\nExperience building AI/LLM agents or automation that can classify tool logs, diagnose failures, and drive automated recovery.\n\nExperience partnering directly with EDA vendors to resolve complex tool, methodology, or performance issues.\n\nNVIDIA is widely recognized as one of the technology industry’s most desirable employers. Join NVIDIA’s Emulation Infrastructure team to build scalable, reliable compilation flows that enable pre-silicon validation and accelerate innovation across AI, robotics, autonomous driving, gaming, and high-performance computing.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until August 14, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":4308,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-08-10T00:00:00Z"},{"event":"close","at":"2026-08-12T03:09:08Z"},{"event":"reopen","at":"2026-09-03T07:53:30Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.413,"p_room":0.28,"age_days":67,"expected_fill_days":33,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":218500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-emulation-front-end-infrastructure-engineer","json_url":"https://alion.io/job/nvidia-emulation-front-end-infrastructure-engineer.json","meta":{"generated_at":"2026-10-16T22:19:13Z","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":3900,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-emulation-front-end-infrastructure-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%2Fnvidia-emulation-front-end-infrastructure-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%2Fnvidia-emulation-front-end-infrastructure-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/nvidia-emulation-front-end-infrastructure-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-emulation-front-end-infrastructure-engineer"}]}