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.

GM and Food (General Merchandise, Closing, Fulfillment, Inbound, Food and Beverage , Food Service, Starbucks) (T2404)

Company: Target

Location: Boulder City, NV

Posted Jan 24, 2025

Target is seeking a General Merchandise Expert for a dynamic role involving guest service, product management, and operational efficiency. The role requires a welcoming attitude, strong communication skills, and the ability to work in a fast-paced environment. Key responsibilities include creating a positive guest experience, managing inventory, executing pricing and presentation processes, and ensuring a safe and compliant work environment. Target offers comprehensive training and competitive benefits.

GM and Food (General Merchandise, Closing, Fulfillment, Inbound, Food and Beverage , Starbucks) (T1152)

Company: Target

Location: New Brunswick, NJ

Posted Jan 24, 2025

Target, a Fortune 50 company, is seeking a General Merchandise Expert. The role involves creating a welcoming experience for guests, ensuring product availability, accurate pricing, and presentation. Responsibilities include executing daily workload, managing inventory, and maintaining a safe, compliant work environment. The ideal candidate should possess a welcoming attitude, communication skills, attention to detail, and ability to work in a fast-paced environment. Target offers training and competitive benefits.

Specialty Sales (Style, Tech, Beauty) (T1436)

Company: Target

Location: Kansas City, MO

Posted Jan 24, 2025

Target, a Fortune 50 company, is seeking a Style Consultant. The role involves providing excellent guest service, maintaining a welcoming and organized sales floor, and staying updated on industry trends. Key responsibilities include creating a guest-ready shopping environment, executing visual merchandising, and ensuring product availability. The ideal candidate should have a strong interest in apparel, excellent communication skills, and the ability to work in a fast-paced environment. Target offers competitive benefits and an inclusive work culture.

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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