Cutting-Edge Solutions Jobs in New York City, NY
767,253 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.
Risk Management - Quantitiative Modeling Lead - Vice President
Company: JPMorgan Chase
Location: Jersey City, NJ
Posted Feb 08, 2025
Co-Op: Firmware Engineering (Circuit Protection) - Multiple Locations
Company: Eaton
Location: Peachtree City, GA
Posted Feb 08, 2025
Aladdin Client Transformation, Implementation Specialist
Company: BlackRock
Location: Mexico City, Mexico
Posted Feb 08, 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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