{"id":378837,"url":"https://alion.io/job/nvidia-soc-design-team-methodology-intern-2027","title":"SOC Design Team Methodology Intern - 2027","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":"B","score":81,"open_postings":820,"ghost_share":0.024,"stale_share":0.685,"repost_share":0.046,"time_to_fill_p50_days":36,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":38000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":829},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"Linux","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-05T21:28:55Z","employer_posted_date":"2026-09-05","last_verified_at":"2026-10-30T02:23:26Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"The NVIDIA System-on-Chip (SOC) design group is looking for a motivated intern to join our Methodology team. In this role, you will help improve the way we design, configure, and verify in SOC Design fields- making them faster, more reliable, and increasingly AI-assisted. This is a hands-on opportunity to work at the intersection of digital ASIC front-end methodology and applied AI. You will contribute to real production flows used across NVIDIA's SOC projects, partner with experienced engineers, and see how modern AI agents can accelerate chip design. We are looking for someone who is curious about finding problems, open-minded in solving them, quick to learn new tools, and detail-oriented in execution - while being organized, collaborative, and a strong communicator.\nWhat You'll Be Doing:\nGet up to speed on NVIDIA's SOC project development environment, tooling, and design flows.\n\nIdentify pain points in SOC configuration work and related methodology areas, and help scope opportunities for improvement.\n\nReview conventional SOC design flows, document bottlenecks, and propose and prototype upgrades that improve turnaround time, quality, or automation.\n\nDevelop and refine AI agents and automation scripts to support \"Speed of Light\" execution - helping engineers move faster by reducing manual, repetitive steps.\n\nContribute to documentation, runbooks, and best-practice guides so that methodology improvements are repeatable and adoptable by the broader team.\n\nCollaborate with SOC Design engineers to gather requirements, validate ideas, and iterate on solutions.\n\nWhat We Need to See:\nCurrently pursuing a MS (or higher) Students in Electrical Engineering, Computer Science, who will graduate at 2028\n\nWorking knowledge of digital ASIC front-end design flows\n\nStrong scripting skills - Python, Perl, or similar languages - with the ability to automate tasks and build maintainable tooling.\n\nGenuine interest and foundational knowledge in AI agent development (e.g., LLM-based agents, prompt design, tool-use / function-calling, or agentic workflows).\n\nFluent English, both written and spoken, for effective collaboration in a global team.\n\nWays to Stand Out from the Crowd:\nCoursework, projects, or internships in SOC design methodology.\n\nHands-on experience building or integrating AI agents (e.g., LangChain, LlamaIndex, OpenAI-style tool use, or similar frameworks).\n\nFamiliarity with version control (Git), CI/CD, and software engineering best practices.\n\nComfort working in a Linux development environment with large codebases and EDA toolchains.\n\nA problem-finding mindset - you don't just solve assigned tasks, you proactively surface issues and propose improvements.\n\nStrong communication and teamwork, with the ability to explain technical trade-offs clearly to both engineers and stakeholders.","description_format":"text","description_chars":2823,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Incident Response","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-05T21:28:55Z"}],"visa":[],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.501,"p_room":0.55,"age_days":53,"expected_fill_days":36,"reasons":["conf:0","stale_co","velocity","win:tail","comp:junior,brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-soc-design-team-methodology-intern-2027","json_url":"https://alion.io/job/nvidia-soc-design-team-methodology-intern-2027.json","meta":{"generated_at":"2026-10-30T04:08:51Z","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":5614,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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-soc-design-team-methodology-intern-2027"},{"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-soc-design-team-methodology-intern-2027"},{"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-soc-design-team-methodology-intern-2027"},{"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-soc-design-team-methodology-intern-2027\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-soc-design-team-methodology-intern-2027"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":378837}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":378837},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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