{"id":726964,"url":"https://alion.io/job/quilter-staff-ml-systems-engineer","title":"Staff ML Systems Engineer","company":{"id":685587,"name":"Quilter","domain":"quilter.ai","url":"https://alion.io/company/quilter","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"CI/CD","optional":false},{"name":"HPC","optional":false}],"status":"live","first_seen_at":"2026-04-03T16:29:08Z","employer_posted_date":"2026-04-03","last_verified_at":"2026-11-01T05:02:31Z","board_verified":true,"closed_at":null,"days_open":211,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":211},"description":"About Quilter\nAt Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.\nNo matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:\nCuriosity\n\nConviction\n\nRigor\n\nWe're looking for a Senior or Staff ML Systems Engineer to join Quilter's Placer Team and build the infrastructure that moves research from prototype to production reliably and efficiently.\nThe Role\nThe Placer is responsible for automated component placement on PCBs. This role focuses on the systems and infrastructure that support the full ML lifecycle: training pipelines, data generation and cleaning, experiment management, orchestration, serving, A/B testing, and CI/CD.\nYou'll be building the infrastructure that moves research from prototype to production reliably and efficiently. You'll also play a key role in systems design review and long-range architectural planning as the team scales.\nThis is a fully distributed team. We expect high autonomy and high ownership.\nWhat Youʼll Do\nDesign, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring\n\nOwn data pipelines including generation, cleaning, validation, and versioning\n\nBuild and improve experiment tracking, orchestration, and reproducibility tooling\n\nImplement and maintain CI/CD pipelines and A/B testing infrastructure\n\nLead and formalize design review processes across the team\n\nIdentify architectural risks early and guide the team toward sustainable systems decisions\n\nWhat Weʼre Looking For\n7+ years of industry experience building and operating ML systems in production\n\nProven track record as a key player in the success of a production-grade ML system end-to-end\n\nDeep familiarity with training pipelines, serving infrastructure, and experiment management\n\nStrong software engineering fundamentals and systems design sensibility\n\nExperience driving design reviews and improving engineering processes within a team\n\nComfort operating with high autonomy in ambiguous problem spaces\n\nExperience with GPU-accelerated workloads and orchestration\n\nStrong communication and collaboration skills\n\nPreferred\n7+ years of industry experience\n\nFamiliarity with ML workflows involving optimization, RL, or combinatorial problems\n\nExperience building infrastructure for small, research-heavy teams\n\nPlease note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.\nWhat we offer:\nInteresting and challenging work\n\nCompetitive salary and equity benefits\n\nHealth, dental, and vision insurance\n\nRegular team events and offsites (~4x / year)\n\nUnlimited paid time off\n\nPaid parental leave\n\nWant to learn more about Quilter, our vision, and our investors? 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