Cutting-Edge Technologies Jobs in New York City, NY

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Looking for Cutting-Edge Technologies jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Technologies position in the New York City, NY area.

MSP Sales/Account Manager

Company: LincolnIT

Location: New York City, NY

Posted Jan 27, 2025

A Client Relationship Manager position is available at a growing managed service provider in Long Island. The ideal candidate should have a technology background, strong sales skills, and experience in IT consulting services. The role involves presenting, demonstrating, and closing technology solutions, as well as building relationships with prospective customers. The company offers a competitive salary, commission plan, benefits, and the opportunity to work with dedicated technology professionals in a team environment.

UX Website Principal

Company: Upside

Location: New York, NY

Posted Jan 27, 2025

Senior Full-Stack Engineer

Company: Codazen

Location: Salt Lake City, UT

Posted Jan 27, 2025

Codazen is seeking a Senior FullStack Engineer to join their team. The role involves designing, implementing, and maintaining scalable, secure, and efficient web applications for enterprise clients. The ideal candidate should have at least 5 years of experience in delivering enterprise-scale web-based solutions, hands-on professional coding experience with modern JavaScript frameworks, and a passion for creating high-quality, value-based software and user experiences. The position offers a competitive salary, hybrid schedule, generous paid time off, health benefits, and more. Codazen is an Equal Opportunity Employer.

Manufacturing Engineer - 2nd Shift

Company: GE Vernova

Location: Schenectady, NY

Posted Jan 27, 2025

Supply Chain Planning Specialist

Company: Northrop Grumman

Location: Salt Lake City, UT

Posted Jan 27, 2025

Frequently Asked Questions

What are the typical salary ranges for Cutting‑Edge Technologies roles at different seniority levels?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, lead $210k–$260k, and director or VP roles can exceed $260k, especially in quantum research or high‑frequency trading firms. Quantum developers often command $140k–$190k at entry level, scaling to $250k+ for senior architects. Edge AI specialists see similar brackets, with high‑performance computing roles reaching $220k+.
What skills and certifications are typically required in Cutting‑Edge Technologies?
Core programming in Python, C++, and Rust; machine‑learning libraries like TensorFlow, PyTorch, and JAX; quantum toolkits such as Qiskit, Cirq, or Rigetti Forest; edge frameworks like EdgeX Foundry, NVIDIA DeepStream, and TensorRT; and blockchain platforms including Hyperledger Fabric, Ethereum, and Cosmos SDK. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Architect are highly valued.
Is remote work available for Cutting‑Edge Technologies positions?
Yes. Nearly 70% of AI and quantum roles offer full‑remote or hybrid options, especially at SaaS vendors, fintech startups, and research labs. Edge and blockchain positions often require on‑site presence for hardware maintenance, but many companies now provide remote‑first environments with virtual lab access.
What are the career progression paths in Cutting‑Edge Technologies?
Typical paths start with Junior Engineer → Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Technical Fellow. For quantum and blockchain, an engineer can advance to Quantum Architect or Blockchain Lead, then to Director of R&D or Chief Technology Officer. Continuous learning through advanced degrees, specialized certifications, and contributions to open‑source projects accelerates promotion.
What industry trends are shaping the future of Cutting‑Edge Technologies?
AI is moving toward federated learning and explainable AI, increasing demand for privacy‑preserving models. Quantum computing is transitioning from academic prototypes to commercial QPU services, boosting roles in error‑correction and algorithm design. Edge AI is expanding with 5G and IoT, driving real‑time inference on low‑power devices. Blockchain is shifting from payment networks to interoperable smart‑contract ecosystems and decentralized identity solutions.

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