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.

Lead eTrading Developer

Company: Macquarie Group Limited

Location: New York, NY

Posted Apr 29, 2025

You will be driving change, not only as a technologist, but also as a holistic solutions provider, applying your engineering mindset to take user requests and…

Senior Manager, Software Engineering, Full Stack, Bank Tech

Company: Capital One

Location: New York, NY

Posted May 02, 2025

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding…

AI/ML Cloud Engineer (RapidScale)

Company: Cox Communications

Location: New York, NY

Posted May 02, 2025

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

Lead Full-Stack Developer

Company: Macquarie Group Limited

Location: New York, NY

Posted Apr 29, 2025

You will be driving change, not only as a technologist, but also as a holistic solutions provider, applying your engineering mindset to take user requests and…

Full-Stack Developer

Company: Macquarie Group Limited

Location: New York, NY

Posted Apr 29, 2025

You will be driving change, not only as a technologist, but also as a holistic solutions provider, applying your engineering mindset to take user requests and…

Senior Full-Stack Developer

Company: Macquarie Group Limited

Location: New York, NY

Posted May 02, 2025

You will be driving change, not only as a technologist, but also as a holistic solutions provider, applying your engineering mindset to take user requests and…

High School History Teacher (SY 25-26)

Company: The American Dream Charter School

Location: Bronx, NY

Posted Apr 29, 2025

Bachelor’s degree in History or related field, Master's preferred. Utilize formal and informal assessment data to drive instruction and ensure student mastery…

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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