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.

Human Resources Expert

Company: Target

Location: New Orleans, LA

Posted Jan 24, 2025

Veterinarian

Company: Banfield Pet Hospital

Location: Saratoga Springs, NY

Posted Jan 24, 2025

STORE/NIGHT CLERK

Company: Kroger

Location: Missouri City, TX

Posted Jan 24, 2025

Healthcare Brand Manager

Company: GANNETT

Location: New York, NY / Remote

Posted Jan 24, 2025

LocaliQ, part of USA TODAY NETWORK, is recruiting for a Healthcare Account Executive role. The position is remote but within reasonable driving distance to Westchester County, NY. The role involves building relationships with local businesses for advertising and digital marketing plans. The company offers a competitive package including base salary, uncapped commission, benefits, and more. The ideal candidate should have strong digital marketing acumen, at least 5 years of experience in the healthcare industry, and excellent communication skills. The role requires travel to the Westchester market and attending healthcare-related events.

Target Security Specialist

Company: Target

Location: Queensbury, NY

Posted Jan 24, 2025

Warehouse Operations Manager - 1st Shift

Company: GXO

Location: Oklahoma City, OK

Posted Jan 24, 2025

Industrial Electrical Technician

Company: GE Vernova

Location: Schenectady, NY

Posted Jan 24, 2025

Senior Software Engineer - Prime Trade

Company: BitGo

Location: New York, NY

Posted Jan 24, 2025

BitGo, a leading digital asset solutions provider since 2013, is seeking a skilled back-end developer for a full-time onsite role in New York City. The ideal candidate will design and build robust APIs, libraries, and services, ensuring functionality and scalability. They will collaborate with all engineering teams, provide mentorship, and have experience in TypeScript/Node.JS, SQL databases, RESTful API design, and microservices. BitGo offers competitive compensation, benefits, and the opportunity to work with a team transforming the financial markets.

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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