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.

Devices Product Marketing Manager, Platforms and Devices Marketing

Company: Google

Location: New York, NY

Posted Jul 26, 2025

From early stage analysis (competitive analysis, determining who the consumer we are building for is, the insights about them, and the solutions they need), to…

Lead Carpenter

Company: Yorkville Repairs & Contracting LLC

Location: New York, NY

Posted Jul 26, 2025

Must have your own hand tools and be ready to work. Experience with plumbing and/or electrical is a major plus — please clearly mention this in your response as…

Associate II - Prime Client Operations

Company: JPMorganChase

Location: Jersey City, NJ

Posted Jul 27, 2025

Skillset to properly escalate issues to management, controls team and front office sales and trading teams. Relentless and versatile learner with an aptitude…

Assessments & Exercises Vice President - ITGC, Controls Testing, Audit

Company: JPMorganChase

Location: Jersey City, NJ

Posted Jul 27, 2025

Formal training or certification on security concepts and 5+ years of applied experience. Demonstrated experience to simultaneously lead multiple on-going…

Director, Communications and Audience Strategy

Company: Macy’s

Location: New York, NY

Posted Jul 27, 2025

Candidates with a bachelor’s degree or equivalent work experience in a related field are encouraged to apply. Link business strategy to communications strategy…

Information Security Analyst Tier 3

Company: New York University

Location: New York, NY

Posted Jul 26, 2025

Position Summary: The Information Security Analyst Tier 3 provides technical guidance and leadership to ensure effective threat detection and incident response…

Pharmaceutical Sales Associate - Brooklyn, NY

Company: IQVIA

Location: New York, NY

Posted Jul 26, 2025

The Pharmaceutical Sales & Service Associate will be responsible for achieving established service/sales objectives by conducting primarily live (and some…

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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