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.

Lead Software Engineer - Full Stack

Company: Capital One

Location: Mexico City, Mexico

Posted Jan 22, 2025

Full Stack Developer

Company: IBM

Location: New York, NY

Posted Jan 22, 2025

As an Application Developer at IBM, you'll lead the company into the future by translating system requirements into customized systems in an agile environment. You'll have the opportunity to drive innovation, collaborate globally, and work with the latest technology. The role requires strong experience in development on major cloud providers, relational/SQL databases, NoSQL providers, Python, RESTful Web APIs, and Web development technologies. Preferred skills include project management experience and AWS experience.

Senior, Field Service Tech (On-site)

Company: RTX

Location: Salt Lake City, UT

Posted Jan 22, 2025

The job posting is for a Senior Field Service Technician position in Salt Lake City, UT. The role involves installing, maintaining, testing, adjusting, and repairing communication equipment, including radio and antenna systems. The successful candidate will interact with customers, vendors, and contractors, provide on-the-job training, and be on-call 24/7. They will also need to obtain an FCC General Radiotelephone Operator's License and SIDA badging. The role offers competitive benefits, including medical coverage, retirement savings plan, and life insurance. The company values diversity and inclusion, and the position is part of Collins Aerospace's Connected Aviation Solutions team, which aims to enhance the travel experience through advanced information management systems.

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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