{"id":1164691,"url":"https://alion.io/job/graphcore-graduate-performance-engineer","title":"Graduate Performance Engineer","company":{"id":33,"name":"Graphcore","domain":"graphcore.ai","url":"https://alion.io/company/graphcore","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":73,"open_postings":20,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":92000,"max_usd":187000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":520},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-09-24T00:21:07Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T11:55:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Graphcore\nGraphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption.\nAs part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing.\nThe Opportunity\nAs a Graduate Performance Engineer, you will contribute to the design, integration, bring-up, and validation of complex server- and rack-level performance of elaborate, large-scale systems. You will work alongside experienced engineers, software developer, and cross-functional partners while building practical skills in component, system and scale up/out performance optimization and design.\nWhat You’ll Do\nSupport the design, peer review, bring-up, and debug of complex server- and rack-level systems.\nAssist with modeling, design and evaluation of the complete software and hardware stack identifying performance bottlenecks, possible solutions and testing those outcomes.\nCollaborate with many different teams across both hardware and software development and testing.\nWhat You’ll Bring\nA bachelor’s or master’s degree in electrical engineering, computer engineering, or a related discipline, completed before the role’s start date. Equivalent relevant education or practical experience will also be considered.\nFoundational knowledge of software development, hardware architecture and general understanding of performance implications.\nHands-on experience gained through coursework, laboratories, internships, research, student projects, or personal projects.\nAbility to analyze technical problems, document your work, communicate clearly, and collaborate effectively.\nCuriosity, sound engineering judgment, and a willingness to learn in a fast-moving, multidisciplinary environment.\nPreferred Qualifications\nSoftware and hardware architecture especially focused on performance implications\nFamiliarity with high-speed interfaces such as PCI Express (PCIe), DDR memory, or Ethernet.\nThese qualifications are helpful, not mandatory. We encourage you to apply even if you do not meet every preferred qualification.\nEqual Opportunity and Accommodations\nGraphcore is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, veteran status, or any other status protected by applicable law.\nGraphcore is committed to an inclusive and accessible hiring process. If you need a reasonable accommodation to participate in the application or interview process, please let the recruiting team know.\nCandidate Privacy\nPersonal information submitted during the recruiting process will be handled in accordance with Graphcore’s applicable candidate privacy notices.","description_format":"text","description_chars":3076,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Semiconductors","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-24T02:04:11Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":70,"reasons":["conf:0","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/graphcore-graduate-performance-engineer","json_url":"https://alion.io/job/graphcore-graduate-performance-engineer.json","meta":{"generated_at":"2026-09-24T13:50:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}