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.

Analyst, Data Products

Company: NBCUniversal

Location: New York, NY

Posted Sep 04, 2025

Familiarity with tools such as Excel and SQL for data analysis and manipulation. Bachelor’s degree or equivalent experience in a related field (e.g.: Business,…

Senior AI Engineer (Gen AI Platform Services, Agentic Systems)

Company: Capital One

Location: New York, NY

Posted Sep 04, 2025

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

Crypto Developer

Company: Eclerx

Location: New York, NY

Posted Sep 04, 2025

Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience). A Crypto Developer specializing in Java and Angular JS plays…

AI/ML Cloud Architect (RapidScale)

Company: Cox Communications

Location: New York, NY

Posted Sep 04, 2025

Implement and manage robust monitoring systems for AI solutions in production environments, ensuring continuous performance tracking, anomaly detection, and…

Senior GCP Solutions Architect, Cloud Intelligence

Company: Amazon Web Services, Inc.

Location: New York, NY

Posted Sep 04, 2025

As a Senior Google Cloud Platform (GCP) Cloud Intelligence (CI) SA you will be a leader with deep technical and business expertise influencing the AWS field on…

Staff Software Engineer-Front End

Company: Intuit

Location: New York, NY

Posted Sep 04, 2025

The expected base pay range for this position is: New York $197,000.00 - 266,500.00This position will be eligible for a cash bonus, equity rewards and benefits,…

Anaplan Modeling Builder

Company: Soni Resources Group

Location: New York, NY

Posted Sep 05, 2025

Expand technical capabilities by learning adjacent tools (e.g., ServiceNow, Workday). Bachelor’s degree in a related field (MIS, IT, Finance, Business,…

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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