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.

Pharmacy Intern Grad

Company: Walgreens

Location: Troy, NY

Posted Jan 24, 2025

The job involves providing pharmacy consulting services, ensuring proper medication handling, and enhancing customer experience. Key responsibilities include engaging customers, resolving issues, and promoting healthcare services. The role also involves operations management, maintaining pharmacy systems, processing insurance claims, and performing clinical services like immunizations. The pharmacist is expected to maintain good relationships with the local medical community, assist in staff hiring and training, and continuously develop their skills and knowledge.

Emerging Store Manager

Company: Walgreens

Location: New York, NY

Posted Jan 24, 2025

Pharmacy Manager

Company: Walgreens

Location: Sag Harbor, NY

Posted Jan 24, 2025

The job involves providing pharmacy consulting services with empathy to patients, ensuring effective medication usage and awareness of drug interactions. The role includes offering preventive and clinical healthcare services such as immunizations, diagnostic testing, and patient outcomes services. Key responsibilities encompass patient experience, operations, and people & performance management. The pharmacist engages patients, resolves issues, and models customer service best practices. They counsel patients on medication usage, side effects, interactions, and privacy, and perform pharmacist tasks like compounding and drug therapy reviews. The role also involves maintaining pharmacy operations in accordance with regulations, collaborating on business opportunities, and ensuring accurate insurance claim processing. Clinical and wellness services, such as immunizations and diagnostic testing, are also part of the role. The pharmacist manages staff performance, maintains records, and promotes community health awareness.

Territory Manager - Upper Extremities

Company: Stryker

Location: Auckland, New Zealand

Posted Jan 24, 2025

Risk Management | Analyst | New York

Company: Goldman Sachs

Location: New York, NY

Posted Jan 24, 2025

Goldman Sachs emphasizes risk management across various divisions including Credit Risk, Enterprise Risk, Liquidity Risk, Market Risk, Model Risk, Operational Risk, Risk Engineering, Corporate Risk, and Credit Review Group. The firm's Global Markets Division facilitates client transactions in financial products, while the Asset Management Division offers investment solutions for institutional and individual investors. The Real Estate team supports real estate investing across multiple product types, and the Finance, Management, and Execution team manages financial and operational risk. The Transaction Banking aims to provide a modern, digital-first transaction banking solution. The job posting seeks a professional with 0-3 years of experience in a relevant field, proficient in MS Office, and strong communication skills.

Asset & Wealth Management -Software Engineer - New York - Associate

Company: Goldman Sachs

Location: New York, NY

Posted Jan 24, 2025

Goldman Sachs offers a career opportunity to work with a leading global asset manager, handling over $2 trillion in assets. The role involves participating in exciting investment opportunities, collaborating with talented colleagues, and building meaningful client relationships. The company values integrity, transparency, and diversity. The Alternatives Engineering Team within Private Wealth Management is currently driving initiatives to scale and flexibly expand the Alternatives offering to clients. They are seeking an engineer passionate about solving complex problems and developing reliable, high-performing software systems. Compliance Engineering, another team, is looking for full-stack developers to rebuild the Compliance application portfolio using modern frameworks and handling large data sets.

Associate - 7337874

Company: Goldman Sachs

Location: New York, NY

Posted Jan 24, 2025

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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