Cutting-Edge Technologies Jobs in Chicago, IL

18,935 open positions · Updated daily

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

UI/UX Designer

Company: Velvetech

Location: Chicago, IL

Posted Feb 22, 2025

Proficiency in AI-driven design tools such as Figma with AI plugins, Adobe XD with Sensei features, or similar is required.

Production Worker- 2nd Shift

Company: Eaton

Location: Edwardsville, IL

Posted Feb 08, 2025

Engineer, Electrical/Cyber Security

Company:

Location: Minooka, IL

Posted Feb 08, 2025

Manager, IT Infrastructure

Company: Equity Residential

Location: Chicago, IL

Posted Feb 12, 2025

Assists in proactively researching the necessary tools and processes to identify troublesome trends as they develop; help analyze/predict trends and develop a…

(USA) Merchandising Lead

Company: Walmart

Location: Vernon Hills, IL

Posted Feb 08, 2025

Lead Software Engineer in Test

Company: Beyond Finance

Location: Chicago, IL

Posted Feb 25, 2025

Beyond Finance is a rapidly growing financial technology company committed to helping individuals escape debt. They are seeking a Lead Software Development Engineer in Test to join their team. The role involves working closely with the team to verify software quality, planning and building automation, and mentoring other team members. Beyond Finance offers a collaborative work environment, competitive benefits, and opportunities for career development.

Production Worker - 3rd Shift

Company: Eaton

Location: Edwardsville, IL

Posted Feb 08, 2025

Senior Database Administrator

Company:

Location: Schaumburg, IL

Posted Feb 08, 2025

BCG Platinion | Senior MarTech IT Architect

Company: Boston Consulting Group

Location: Chicago, IL

Posted Feb 09, 2025

Bachelor’s degree in information technology, marketing, business administration, computer science, information systems, or system controls & engineering or a…

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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