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.

Onsite Patient Access Representative - Cobleskill NY

Company: UnitedHealth Group

Location: Amsterdam, NY

Posted Jan 25, 2025

View Details Apply on The Muse

Clinical Laboratory Technologist

Company: Labcorp

Location: Panama City, FL

Posted Jan 25, 2025

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DAIRY/CLERK

Company: Kroger

Location: Cedar City, UT

Posted Jan 25, 2025

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Finance Transformation Manager (New Orleans)

Company: Deloitte

Location: New Orleans, LA

Posted Jan 25, 2025

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Private Client Banker - West New Brighton - Staten Island, NY

Company: JPMorgan Chase

Location: Brooklyn, NY

Posted Jan 25, 2025

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Account Manager

Company: Waters

Location: Changshu City, China

Posted Jan 25, 2025

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Director or Senior Director, FP&A

Company: Datadog

Location: New York, NY

Posted Jan 25, 2025

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Seasonal: 4am Inbound (Stocking) (T1268)

Company: Target

Location: Albany, NY

Posted Jan 25, 2025

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NextGeneration MFA stops attacks wearable biometric multifactor authentication customerfocused problem solver

Customer Support Analyst

Company: Token

Location: Rochester, NY

Posted Jan 25, 2025

TokenRansomware and Phishing attacks are the primary threats to organizations today. Token has developed NextGeneration MFA to combat these attacks, offering wearable biometric multifactor authentication. The company culture values activism, with employees given time to support causes and team activities. The Customer Support Analyst role involves providing high-quality technical support, troubleshooting issues, and collaborating with internal teams to resolve customer problems and improve product offerings. The ideal candidate is customer-focused, a problem solver, and possesses strong communication skills.

View Details Apply on BuiltIn

Business Technology Solutions Associate Consultant: Enterprise Data Governance Technology & Operations

Company: ZS

Location: New York, NY

Posted Jan 25, 2025

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Senior Lead Full Stack Engineer - Senior Lead Software Engineer

Company: JPMorgan Chase

Location: Jersey City, NJ

Posted Jan 25, 2025

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Senior Data Engineer II

Company: Compass

Location: Manhattan, NY

Posted Jan 25, 2025

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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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