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.

Principal Trading Engineer (Java, Algo, SOR)

Company: Fidelity Investments

Location: Jersey City, NJ

Posted Aug 17, 2025

Set technical direction for software developers by concluding design with other tech leads and architecture. In this role, you will be an integral part of the…

Director, Digital Marketing Strategy

Company: Fidelis Care

Location: Queens, NY

Posted Aug 16, 2025

Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time…

Director Software Engineering

Company: Fidelity Investments

Location: New York, NY

Posted Aug 17, 2025

Bachelor level degree in Computer Science, Engineering or another technical field. Hands-on technical leader with track record of defining technical…

Field Leader

Company: Chipotle

Location: New York, NY

Posted Aug 16, 2025

Qualified applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state…

Director Digital Assets Software Engineer

Company: Fidelity Investments

Location: New York, NY

Posted Aug 17, 2025

Bachelor level degree in Computer Science, Engineering or another technical field. Hands-on technical leader with track record of defining technical…

Data Scientist - Blueflame AI

Company: Datasite

Location: New York, NY

Posted Aug 16, 2025

This position requires close collaboration with internal teams to manage large data sets, gather meaningful insights, and develop models to support the…

Custom Picture Framer

Company: J. Pocker

Location: Long Island City, NY

Posted Aug 16, 2025

At least 3-5 years of prior experience in custom framing or a related field. Problem-Solving: Ability to troubleshoot and find creative solutions for framing…

Blockchain Disrupter: Startup ready, 0-1 Builder

Company: Corvus Technology Resources

Location: New York, NY

Posted Aug 16, 2025

Monitoring and visualization tools for network activity and rule enforcement. Developer tools that abstract complexity and deliver clean UX.

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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