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.

Microsoft 365 System Administrator

Company:

Location: Lake Bluff, IL

Posted Feb 03, 2025

Systems Engineer - Microsoft 365

Company:

Location: Lake Bluff, IL

Posted Feb 03, 2025

Software Development Team Lead - Web

Company:

Location: Gurnee, IL

Posted Feb 03, 2025

Corporate Chef, Innovation - Away From Home

Company: Kraft Heinz

Location: Chicago, IL

Posted Feb 03, 2025

The Corporate Chef role at Kraft Heinz's Away From Home business involves shaping and executing culinary strategy, collaborating with the Sales team, and engaging with food professionals to drive business growth. Key responsibilities include creating product formulas, translating market trends into food concepts, leading professional culinary sessions, and managing key accounts. The ideal candidate should have a culinary or food science degree, 5-7 years of commercial culinary experience, and strong communication skills. The role requires travel up to 30% of the time and offers a competitive salary with performance-based bonuses and comprehensive benefits.

Logistics Analyst

Company:

Location: Oak Park, IL

Posted Feb 03, 2025

Software Development Team Lead - Web

Company:

Location: Rolling Meadows, IL

Posted Feb 03, 2025

Document Specialist

Company: RWE Clean Energy

Location: Chicago, IL

Posted Feb 03, 2025

RN - Home Health - PRN

Company:

Location: Springfield, IL

Posted Feb 03, 2025

Senior Software Developer - Web

Company:

Location: Mundelein, IL

Posted Feb 03, 2025

Logistics Analyst

Company:

Location: Schaumburg, IL

Posted Feb 03, 2025

Software Development Team Lead - Java

Company:

Location: Lake Bluff, IL

Posted Feb 03, 2025

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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