Cutting-Edge Solutions Jobs in New York City, NY
767,763 open positions · Updated daily
Looking for Cutting-Edge Solutions jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Solutions position in the New York City, NY area.
Travel Nurse RN - Pediatrics ER - Emergency Room - $2,591 per week
Company: Talent4Health
Location: EDISON, New Jersey
Posted Feb 06, 2025
Cash Asset Management Operations Optimization Lead - Vice President
Company: JPMorgan Chase
Location: Bonifacio Global City, Philippines
Posted Feb 06, 2025
Assistant Vice President Sr. Motion Designer
Company: iCapital
Location: New York, NY
Posted Feb 06, 2025
Frequently Asked Questions
What are typical salary ranges by seniority in Cutting‑Edge Solutions?
Entry‑level roles start at $90k–$120k. Mid‑level engineers earn $120k–$160k. Senior specialists command $160k–$210k, while technical leads and architects can reach $210k–$260k based on impact and market.
What skills and certifications are required for Cutting‑Edge Solutions roles?
Core skills include Python, PyTorch/TensorFlow, ONNX, Kubernetes, Helm, and Terraform. Certifications such as AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer, Microsoft Certified: Azure AI Engineer, Certified Kubernetes Administrator (CKA), Hyperledger Fabric Developer, and IBM Quantum Developer are highly valued.
Is remote work available in Cutting‑Edge Solutions positions?
Yes, most companies adopt a hybrid model: 3–5 remote days per week with optional on‑site collaboration. Full‑remote roles are common for software and data teams that rely on cloud platforms.
What career progression paths exist in Cutting‑Edge Solutions?
Typical progression: Junior Engineer → Mid‑Level Engineer → Senior Engineer → Technical Lead → Principal Engineer → Engineering Manager → VP of Engineering. Advanced specialists may become AI Ethics Lead or Quantum Architecture Lead.
What industry trends are shaping Cutting‑Edge Solutions?
Key trends include AI democratization through low‑latency edge inference, quantum‑accelerated machine learning, scalable blockchain protocols (e.g., Polkadot, Cosmos), 5G‑enabled IoT, hybrid cloud orchestration, and growing regulatory focus on data privacy and AI explainability.
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