{"id":42650,"url":"https://alion.io/job/lightning-ai-infrastructure-engineer-gpu-compute","title":"Infrastructure Engineer (GPU & Compute)","company":{"id":9002,"name":"Lightning AI","domain":"lightning.ai","url":"https://alion.io/company/lightning-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":18,"ghost_share":0,"stale_share":0.278,"repost_share":0,"time_to_fill_p50_days":63,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["London, United Kingdom","New York, United States","San Francisco, United States","Seattle, United States"],"countries":["GB","US"],"hiring_countries":["GB","US"],"hiring_countries_total":2,"salary":{"min":180000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Linux","optional":false},{"name":"NVLink","optional":false},{"name":"Python","optional":false},{"name":"PyTorch Lightning","optional":false},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-05-01T19:27:58Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-16T04:15:05Z","board_verified":true,"closed_at":null,"days_open":167,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":167},"description":"Who We Are\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\nThe Way We Work\nThe people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:\nMove with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.\nTake Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.\nCommunicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.\nBuild Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.\nRaise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.\nThink Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.\nWhat We're Looking For\nLightning AI is seeking an experienced Senior GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.\nIn this role, you will help bring up, validate, and operate large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software-owning system diagnostics and validation, developing automation, improving reliability, and ensuring clusters are ready to support demanding AI/ML and HPC workloads.\nYou will play a key role in GPU and system-level qualification, running validation environments and test clusters, and improving the tooling and workflows that support infrastructure bring-up at scale. This includes owning and evolving our image pipeline alongside provisioning and validation systems to ensure our infrastructure is consistent, performant, and reliable from day one.\nThis role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.\nWhat You'll Do\nSystems Bring-Up & Validation\nOwn and evolve systems for image management, deployment, and validation across bare-metal infrastructure\nRun and maintain test clusters used for system validation, diagnostics, and bring-up\nValidate firmware, drivers, and OS images across compute and GPU-enabled systems\nSupport hardware qualification efforts for next-generation platforms\nGPU Diagnostics & Performance\nOwn GPU diagnostics and validation workflows across large-scale infrastructure\nDiagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers\nAnalyze system and GPU performance using tools such as NVIDIA DCGM\nIdentify failure patterns and drive improvements in system stability and validation coverage\nAutomation & Tooling\nBuild and maintain automation for provisioning, validation, and system bring-up\nDevelop Python-based tools and workflows to improve efficiency and reduce manual operational overhead\nImprove the reliability, repeatability, and scalability of image pipelines and validation systems\nSystems & Operations\nManage and operate Linux-based systems in production and validation environments\nManage virtualization technology\nSupport bare-metal provisioning workflows, including PXE and image-based systems\nInterface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging\nCross-Functional Collaboration\nPartner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation\nCollaborate with platform and ML teams to ensure systems meet workload requirements\nContribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure\nWhat You'll Need\nRequired Qualifications\n5+ years of experience in infrastructure engineering, systems engineering, or related roles\nStrong Linux systems experience in production environments\nHands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM\nFamiliarity with bare-metal provisioning and system bring-up workflows\nProficiency in Python or similar scripting/programming languages for automation\nAbility to debug complex issues across hardware, OS, GPUs, and system software\nIdeal Experience\nExperience with high-performance interconnects (e.g., InfiniBand, NVLink)\nExperience with PXE boot environments, LiveCD systems, or image-based provisioning workflows\nExperience with hardware management interfaces such as iDRAC, IPMI, or Redfish\nData center operations experience, including working with physical hardware\nExperience supporting AI/ML or HPC workloads at scale\nExperience with GPU validation frameworks or large-scale hardware qualification processes\nCompensation\nWe are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.\nThe anticipated annual base salary range for this role is:\n$180,000—$220,000 USD\nBenefits and Perks\nWe offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:\nComprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.\nMeaningful Equity: RSUs that give employees a stake in the company's long-term success.\n Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).\nFlexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.\nCompany-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.\nPaid Parental & Family Leave: Paid leave to support you and your family through life's important moments.\nProfessional Development: Annual learning and development allowance to support your professional growth.\nWellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.\nSabbatical Program: Four weeks of paid sabbatical leave after four years of service.\nFlexible Work: Flexible schedules and a hybrid work model for our office-based teams.\n In-Office Meals: Complimentary meals at our office hubs.\nBenefits may vary by location, team, and role.\nAt Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. 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