Cutting-Edge Solutions Jobs in Chicago, IL

38,784 open positions · Updated daily

Looking for Cutting-Edge Solutions jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Solutions position in the Chicago, IL area.

Relationship Banker

Company: Merrill

Location: Chicago, IL

Posted Feb 07, 2025

Senior Software Developer - Web

Company:

Location: Gurnee, IL

Posted Feb 07, 2025

Software Development Manager

Company:

Location: Lake Bluff, IL

Posted Feb 07, 2025

Sales Lead Generator

Company:

Location: Addison, IL

Posted Feb 07, 2025

Field Service Representative

Company: Eaton

Location: Glendale Heights, IL

Posted Feb 07, 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.

Related Pages