Jobs / United States / Tower Research Capital LLC
Software 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. Responsibilities • Build, maintain, and improve internal tools, data workflows, and operational web applications. • Develop Python-based services, automation scripts, data processing jobs, and internal utilities. • Work with business users and engineers to understand requirements, clarify ambiguity, and deliver practical software solutions. • Design and maintain workflows for data ingestion, transformation, validation, reconciliation, and reporting. • Write and debug SQL queries used for reporting, investigation, and operational analysis. • Build and iterate on AI-enabled internal tools for the telco team, including an internal AI chatbot/assistant for operational support, billing investigation, documentation discovery, and workflow guidance. • Develop AI agent workflows and integrations with internal APIs, databases, and documentation sources using patterns such as Model Context Protocol (MCP), function/tool calling, retrieval-augmented generation (RAG), and secure permission-aware access. • Maintain backend APIs and frontend interfaces for internal applications. • Debug issues across application code, databases, APIs, logs, configuration, and deployment environments. • Improve reliability, observability, test coverage, documentation, and maintainability of existing systems. • Use Git-based development workflows, code reviews, CI/CD pipelines, and deployment processes. • Communicate progress, assumptions, risks, and blockers clearly and early. Qualifications • Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience. • 3–5 years of professional software engineering experience. • Strong programming skills, preferably in Python. • Solid SQL skills and understanding of relational databases. • Experience working with production or business-critical codebases. • Experience with data workflows such as ETL, reporting, reconciliation, validation, or operational data processing. • Familiarity with web application development, backend APIs, and frontend/backend integration. • Comfortable working in Linux/Unix environments and using Git-based workflows. • Strong debugging and problem-solving skills across code, data, configuration, and environment issues. • Abil