{"id":2056014,"url":"https://alion.io/job/qualcomm-sr-staffprincipal-devops-engineer-machine-learning-infrastructure-and-performance","title":"Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":73,"open_postings":1253,"ghost_share":0.211,"stale_share":0.106,"repost_share":0.472,"time_to_fill_p50_days":74,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Markham, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":190000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Jenkins","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"ONNX","optional":true},{"name":"PyTorch","optional":true},{"name":"Rest API","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T18:16:57Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Company:\nQualcomm Canada ULCJob Area:\nEngineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:\nToday, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous-expanding beyond mobile and powering other end devices, machines, vehicles, and things.\nWe are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality. New Position\nPurpose:\nAs a member of Qualcomm’s ML Systems Team, you will:\nMaintain local server racks and on-site devices\nMake infrastructure and processes robust, reliable, and efficient\nIdentify and remedy items impacting productivity of the development team.\nResponsibilities:\nOperate and improve the Linux self-hosted GitHub runner fleet: capacity, scheduling, storage, monitoring, recovery, access, and incident response.\nBuild reliable GitHub Actions pipelines and reproducible Docker environments for builds, tests, model benchmarks, artifacts, and releases. Maintain the Git LFS-backed model zoo and its shared caches.\nOwn and innovate on the Python task/workflow orchestration infrastructure (Prefect-esque) to make hardware measurements traceable, repeatable, and actionable.\nSteward performance-data ingestion and analysis, including the FastAPI/PostgreSQL-backed service and its clients; improve pytest integration, regression detection, reporting, triage, and release promotion.\nPlan the next scale step: isolate workloads, improve cache and artifact lifecycle, and evaluate elastic/cloud or batch execution where it fits scarce devices and large models.\nTurn project-specific tooling into supported, reusable platform components for other teams.\nRequired:\nDepth in:\nLinux\nCI/CD\nDocker\nPython\nThe ideal candidate will be familiar with:\nLinux infrastructure: Self-hosted GitHub Actions runners, systemd, remote filesystems (NFS), and resource monitoring.\nCI/CD and containers: GitHub Actions, reusable workflows, Docker, and release automation. Familiarity with Jenkins is a plus.\nModel and artifact management: Git LFS, shared caches, and large-model storage (ONNX models).\nPython testing: pytest, pytest-xdist, integration tests, and performance reporting (with run-to-run variation).\nAI performance tooling: ONNX, PyTorch, QAIRT SDK is a plus, Android device execution and profiling is a plus (adb).\nPerformance data: REST APIs, FastAPI, and PostgreSQL, or similar libraries/frameworks.\nFuture scaling: batch scheduling (ex. IBM Spectrum LSF) or cloud infrastructure for horizontally scaling automation.\nMinimum Qualifications:\n• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR\nMaster's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\nOR\nPhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\nApplicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nTo all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.\nIf you would like more information about this role, please contact Qualcomm Careers.","description_format":"text","description_chars":5064,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Artificial Intelligence","Autonomous Driving","Energy Efficiency","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-10-07T23:48:13Z"}],"visa":[],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":1,"p_active":0.783,"p_room":0.6,"age_days":61,"expected_fill_days":74,"reasons":["conf:1","velocity","win:late","crowd:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/qualcomm-sr-staffprincipal-devops-engineer-machine-learning-infrastructure-and-performance","json_url":"https://alion.io/job/qualcomm-sr-staffprincipal-devops-engineer-machine-learning-infrastructure-and-performance.json","meta":{"generated_at":"2026-10-12T20:27:33Z","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":33201,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":94},"rest":"https://alion.io/mcp/rest/get_company?id=94"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqualcomm-sr-staffprincipal-devops-engineer-machine-learning-infrastructure-and-performance"},{"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%2Fqualcomm-sr-staffprincipal-devops-engineer-machine-learning-infrastructure-and-performance"},{"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%2Fqualcomm-sr-staffprincipal-devops-engineer-machine-learning-infrastructure-and-performance"},{"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/qualcomm-sr-staffprincipal-devops-engineer-machine-learning-infrastructure-and-performance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-sr-staffprincipal-devops-engineer-machine-learning-infrastructure-and-performance"}]}