{"id":165940,"url":"https://alion.io/job/tower-research-capital-software-engineer-gpu-fleet","title":"Software Engineer, GPU Fleet","company":{"id":58857,"name":"Tower Research Capital","domain":"tower-research.com","url":"https://alion.io/company/tower-research-capital","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":32,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":84,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Unix","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-08-11T02:22:49Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-17T08:14:34Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.\nTower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. \nEngineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.\nAt Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.\nAt Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.\nSummary:\nOur GPU fleet is one of the fastest-growing and most critical parts of the firm's infrastructure, and this role is about the software that keeps it healthy, observable, and efficient.\nIn this role you will build and own the tooling behind day-to-day GPU operations: management, monitoring, metrics collection, maintenance, and network configuration. When something misbehaves anywhere between an application and the kernel, you will help track it down.\nThe work varies day to day by design. One day you might be shipping a new feature for our fleet automation, the next digging into a stubborn driver issue, the next mining job statistics to find where the fleet could be doing more with what it has.\nResponsibilities:\nBuild and maintain the tooling that automates GPU fleet operations: management, monitoring, metrics collection, maintenance, and network configuration.\nTroubleshoot software and hardware issues across the fleet, from application and network problems down to the operating system and kernel.\nWork with engineering teams across the firm to tune workloads and processes so they use GPUs more efficiently.\nAnalyze GPU job statistics to surface trends, inefficiencies, and opportunities for improvement.\nQualifications:\nBS or MS in computer science or a related field.\n2+ years of relevant experience, including Python development and hands-on GPU management.\nAn automation-first mindset. When a workflow is manual, slow, or error-prone, you reach for code.\nExperience deploying, troubleshooting, and tuning a range of GPU hardware.\nStrong computer science fundamentals and sound software design instincts.\nSolid working knowledge of Linux/UNIX and comfort with open-source software.\nSharp debugging. You get to the bottom of problems quickly and methodically.\nFamiliarity with configuration management and monitoring technologies.\nOrganized, adaptable, and collaborative. You can juggle several tasks with careful attention to detail, work independently or with the team, and pick up new skills fast.\nNice to Have:\nFamiliarity with continuous integration and deployment (CI/CD) tools and processes.\nAnticipated annual base salary range $200,000-$300,000, plus eligible for discretionary bonus.\nTower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.\n At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.\nOur benefits include:\nGenerous paid time off policies\nSavings plans and other financial wellness tools available in each region\nHybrid working opportunities\nFree breakfast, lunch, and snacks daily\nIn-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)\nCompany-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)\nVolunteer opportunities and charitable giving\nSocial events, happy hours, treats, and celebrations throughout the year\nWorkshops and continuous learning opportunities\nAt Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together.\nTower Research Capital is an equal opportunity employer.","description_format":"text","description_chars":5137,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-08-11T02:22:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 54 · green card filings: 12","filings_12m":54,"filings_prev_12m":27,"green_card_filings_12m":12,"median_offered_wage_usd":147045,"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":15}],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.559,"p_room":0.6,"age_days":67,"expected_fill_days":84,"reasons":["conf:0","stale_co","velocity","win:late","crowd:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/tower-research-capital-software-engineer-gpu-fleet","json_url":"https://alion.io/job/tower-research-capital-software-engineer-gpu-fleet.json","meta":{"generated_at":"2026-10-17T08:45:32Z","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":11716,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":58857},"rest":"https://alion.io/mcp/rest/get_company?id=58857"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftower-research-capital-software-engineer-gpu-fleet"},{"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%2Ftower-research-capital-software-engineer-gpu-fleet"},{"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%2Ftower-research-capital-software-engineer-gpu-fleet"},{"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/tower-research-capital-software-engineer-gpu-fleet\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftower-research-capital-software-engineer-gpu-fleet"}]}