{"id":3357685,"url":"https://alion.io/job/sambanova-systems-ml-infrastructure-engineer-new-grad","title":"ML Infrastructure Engineer - New Grad","company":{"id":100,"name":"SambaNova Systems","domain":"sambanova.ai","url":"https://alion.io/company/sambanova","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":16,"ghost_share":0,"stale_share":0.438,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":131200,"max":196800,"currency":"USD","period":"year","gross":null,"usd_annual":196800},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Caching","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SGLang","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"vLLM","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-27T19:24:46Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T07:20:31Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) - a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.\nAbout the Team\nThe ML Infrastructure team builds and operates the inference stack that serves SambaNova's models on our RDU accelerators. We cover request scheduling, caching, decoding techniques, public APIs, and the accuracy testing that every inference feature must pass before it ships.\nAbout the Role\nAs a new grad ML Infrastructure Engineer, you'll write production Python for our inference serving stack, including our vLLM integration and public APIs. You'll help bring features like speculative decoding, prompt caching, and tool calling into production on the RDU, and add accuracy and regression tests that catch problems before customers do.\nResponsibilities\nImplement inference features on the RDU such as speculative decoding, constrained decoding, tool calling, prompt caching, and long-context inference\nAdapt vLLM and related serving frameworks to the RDU architecture\nBuild and maintain endpoints in the public inference API\nWrite accuracy verification and regression tests for inference features\nDebug latency, throughput, and reliability issues in production services\nRequired Qualifications\nB.S. in Computer Science, Electrical Engineering, or related field\nStrong programming skills in Python\nUnderstanding of algorithms, data structures, concurrency, and systems design\nCoursework or project experience in distributed systems or machine learning\nExperience with LLM serving frameworks such as vLLM, SGLang, or TensorRT-LLM\nExperience with inference techniques such as speculative decoding, KV caching, or continuous batching\nExperience with PyTorch\nPreferred Qualifications\nM.S. or Ph.D. in Computer Science, Electrical Engineering, or related field\nExperience building or maintaining APIs or backend services\nInternship or research experience in ML systems or backend infrastructure\nExperience with disaggregated systems - prefill/decode\nOpen source project ownership or contributions\nBase Salary Range:\nBase Pay Range\n$131,200—$196,800 USD\nSubmission Guidelines\n Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. \nEEO Policy\n SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.\nBenefits Summary for US-Based, Full-Time Employment Positions\nSambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.","description_format":"text","description_chars":4103,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Servers & Data Center Hardware","AI Compute & Inference","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-27T20:24:48Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 23 · green card filings: 30","filings_12m":23,"filings_prev_12m":34,"green_card_filings_12m":30,"median_offered_wage_usd":182500,"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)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":9}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":53,"reasons":["conf:2","velocity","win:early","comp:junior"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":196800,"is_top_pay":false},"html_url":"https://alion.io/job/sambanova-systems-ml-infrastructure-engineer-new-grad","json_url":"https://alion.io/job/sambanova-systems-ml-infrastructure-engineer-new-grad.json","meta":{"generated_at":"2026-10-29T11:27:54Z","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":17419,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":100},"rest":"https://alion.io/mcp/rest/get_company?id=100"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsambanova-systems-ml-infrastructure-engineer-new-grad"},{"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%2Fsambanova-systems-ml-infrastructure-engineer-new-grad"},{"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%2Fsambanova-systems-ml-infrastructure-engineer-new-grad"},{"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/sambanova-systems-ml-infrastructure-engineer-new-grad\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsambanova-systems-ml-infrastructure-engineer-new-grad"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3357685}},{"tool":"search_jobs","arguments":{"company":"sambanova.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3357685},"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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