Jobs / United States / Tower Research Capital LLC
HPC Operations Engineer
Tower Research Capital LLC · 🇺🇸 New York
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 44 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Tower Research Capital LLC paid sponsored hires in similar roles9 certified filings for “Software Engineer I” (Software Developers) in NY: $150k–$190k, median $150k. Most were filed at wage level I (67%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Tower Research Capital LLC
The US Department of Labor certified 44 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Tower Research Capital LLC →
About the role
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. Tower 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. Engineers 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. At 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. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Summary: This is an operations role, not a platform engineering one. It is about the daily health of the Research compute fleet: you will be the first line of support for HPC users and the primary owner of day-to-day operations across scheduling, compute, storage, and access. The work is transactional by nature, with tickets, triage, provisioning, and maintenance done well, every day. The fleet has grown fast, with close to a thousand machines added recently, and this role exists so that infrastructure gets dedicated, high-standard operational care. You will keep an eye on system health, queues, node status, and service availability; work job failures, scheduler errors, and resource constraints as they come in; and drive every issue to resolution or a clean, well-documented escalation. You will sit inside the HPC team, next to the engineers who build and run the platform. That proximity matters: your diagnostics feed their root-cause work, your runbooks capture what the team learns, and the recurring issues you surface become candidates for automation and permanent fixes. For someone who wants to grow into HPC engineering, this is a strong place to start. Responsibilities: • Provide first-line support for HPC users across scheduling, compute, storage, and access issues. • Troubleshoot job failures, scheduler errors, and resource constraints, driving each issue to resolution or a clean handoff. • Triage infrastructure incidents: gather diagnostics, apply known fixes, and escalate to subject-matter experts when a problem extends beyond defined ownership. • Monitor fleet health (queues, node status, storage, and service availability) and act on what you see before users have to report it. • Carry out established operational procedures for maintenance, patching, and configuration updates across the Research fleet. • Provision new machines into the Research fleet (OS installation, configuration, validation, and handoff into service), and handle reinstalls and decommissions as routine work. • Write and maintain runbooks, knowledge-base articles, and user guides so the next occurrence of a problem is faster to fix than the first. • Spot recurring issues and propose practical refinements, such as better workflows or automation candidates th