Top Tech Jobs & Startup Jobs in NYC, NY

Hands-on Cybersecurity Engineer focused on maturing and automating the vulnerability management lifecycle: discovery, validation, triage, remediation tracking, and verification. Validate and deduplicate scanner findings, broaden scanning coverage, integrate SBOM and software inventory, build dashboards and metrics, and drive automation across tooling and processes while prioritizing risk based on exploitability and exposure.

Work on OxCaml code generation: identify optimizations, implement codegen, test, benchmark, and deploy. Work across IRs (CPS, SSA, Sea of Nodes), use debuggers and low-level Linux tools, interact with internal teams, and possibly manage developers alongside technical work.

The Procurement Specialist will source IT hardware, manage purchase orders, coordinate logistics, and negotiate with vendors while ensuring timely delivery and invoice accuracy.

The ASIC Engineer will design, test, and deploy hardware designs, working with ASIC and FPGA technologies while improving design processes using software engineering techniques.

As a Recruiting Coordinator, you will support various recruiting initiatives like campus recruitment, interview coordination, and maintaining recruiting systems while ensuring smooth operations and positive candidate experiences.

Interns work on FPGA and ASIC projects using OCaml and Hardcaml to design, test, and validate RTL. Paired with mentors, you'll build end-to-end hardware designs, use vendor tools (Vivado/Quartus/Genus/Innovus), and apply hardware construction languages in a networking context.

As a Quantitative Researcher at Jane Street, you will build models, analyze datasets, create strategies for trading, and write implementation code, primarily in OCaml.

As a Data Specialist, you will analyze, onboard, validate, and improve large data sets for trading while collaborating with engineers and traders.

Work alongside full-time ML researchers on end-to-end projects applying state-of-the-art models to large, nonstationary market datasets. Tasks include data exploration, model development, hyperparameter tuning, debugging training, and analyzing model predictions using large-scale compute and GPU resources. Internship-focused, with heavy emphasis on practical ML implementation and iteration.

Design and build internal systems and tools across the firm, from trading desks to accounting. Implement foundational infrastructure (monitoring, risk models), work with OCaml and Python, contribute to and leverage open source, and solve critical, production-facing engineering problems.