Cutting-Edge Technology Jobs in New York City, NY

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Looking for Cutting-Edge Technology jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Technology position in the New York City, NY area.

Cloud Engineer

Company: Atrium Staffing

Location: New York, NY

Posted Oct 04, 2025

Bachelor's degree in Computer Science, Information Technology, or a related field is required. Professional development budget and certification reimbursement.

Senior Lead AI Engineer

Company: Capital One

Location: New York, NY

Posted Oct 04, 2025

We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary…

Lead Machine Learning Engineer (Enterprise Platforms Technology)

Company: Capital One

Location: New York, NY

Posted Oct 04, 2025

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. You’ll participate in the detailed technical design,…

Data Governance Analyst

Company: Munich RE

Location: New York, NY

Posted Oct 03, 2025

A successful individual will have a strong foundational business and technical knowledge of data governance and management concepts using both current and…

Warehouse Vault Attendant

Company: GardaWorld Cash

Location: Long Island City, NY

Posted Oct 03, 2025

We provide our clients with solutions in every phase of their cash supply chain, including secured transportation, cash management, cash vault processing,…

Lead AI Engineer (AI Foundations, LLM Core)

Company: Capital One

Location: New York, NY

Posted Oct 04, 2025

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency,…

Senior AI Engineer (AI Foundations, LLM Core)

Company: Capital One

Location: New York, NY

Posted Oct 04, 2025

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency,…

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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