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.

Lead ServiceNow Developer (Module: ITOM/ITAM)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities for collaboration with clients, working with visionaries, and leveraging IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and the ability to drive meaningful change. The role of an Application Developer with expertise in ServiceNow is also mentioned, focusing on development, customization, and implementation of ServiceNow modules.

General Accounting Fresh Graduates

Company: IBM

Location: Naga City, PH

Posted Dec 04, 2025

The text is a job description for a General Accounting Analyst role at IBM Consulting. It outlines the responsibilities, required education, and technical expertise needed for the position. The role involves reviewing and processing journal entries, performing account reconciliations, supporting continuous improvement initiatives, and working in a fast-paced environment.

Contact Center Fresh Graduates

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role in customer service support. The position involves answering customer queries, handling complaints, and providing information about products. It requires excellent communication skills, the ability to multitask, and a strong customer focus. The role is based in an IBM Consulting Client Innovation Center and offers opportunities for career growth and development.

Senior - Manager Resident Technology Services

Company: IBM

Location: No City, BR

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, specifically a Manager role for the Resident Technology Strategist (RTS) team at HashiCorp. The role involves managing a team of architects and consultants, delivering customer engagements, and driving the RTS program. The position requires deep technical expertise, experience leading teams, managing client relationships, and a thorough understanding of DevOps processes and cloud infrastructure management.

Prompt Engineer

Company: IBM

Location: NO City, BR

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on long-term client relationships, digital transformation, and leveraging AI and agile methodologies. It highlights the importance of curiosity, continuous learning, and collaboration in a supportive work environment.

Principal Software Engineer - Video - Design Experience

Company: Canva

Location: New Zealand

Posted Nov 29, 2025

Canva is seeking a Principal Video Engineer to lead the technical direction for video technology that powers millions of daily exports. The role involves architecting scalable, high-performance rendering systems and pioneering AI-powered video features. The team is focused on building the future of video creation, democratizing video creation through world-class rendering engines, scalable infrastructure, and AI-powered creativity.

Partner Sales Executive

Company: Canonical

Location: Australia,New Zealand,Anywhere

Posted Nov 22, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI, and IoT. The company is growing its channel sales team to capitalize on demand from partners. The Partner Sales Executive role involves developing channel strategy, recruiting new partners, and driving sales within the ANZ territory.

Principal Security Engineer

Company: Canva

Location: Australia,New Zealand

Posted Nov 16, 2025

Canva is a company that redefines how the world experiences design. They offer flexible work options, a collaborative environment, and a focus on security. The company is looking for a Principal Security Engineer to drive strengthening Canvas security foundations and drive meaningful risk reduction across the business.

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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