Cutting-Edge Technologies Jobs in Chicago, IL

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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.

Business Development Executive - East Coast, Capital Markets

Company: Chainlink Labs

Location: Chicago, IL

Posted Feb 03, 2025

Chainlink Labs, a leading developer of the decentralized computing platform Chainlink, is seeking an experienced Business Development Executive for the East Coast. The role involves identifying and closing high-impact use cases for Chainlink's solutions in major commercial banks and financial market infrastructures, particularly in the Front and Middle office. The ideal candidate should have 10+ years of experience in financial services, a proven track record in negotiating commercial agreements, and strong collaboration skills. Preferred qualifications include understanding of blockchain technology, DeFi, and the digital financial market infrastructure landscape.

Maintenance Analyst

Company:

Location: Peoria, IL

Posted Feb 03, 2025

Sr. Manager, Data & Analytics

Company: Transparent Partners

Location: Chicago, IL

Posted Feb 03, 2025

Transparent Partners is seeking a Senior Manager for Data & Analytics (DampA) to lead marketing measurement, data strategy, and technology initiatives. The ideal candidate will have 7+ years of data analytics experience, a strong background in marketing technologies, and excellent communication skills. The role involves partnering with clients, understanding their needs, and delivering strategic recommendations. The Senior Manager will also contribute to the advancement of the DampA practice and represent Transparent in the marketplace.

Software Development Team Lead - Web

Company:

Location: Mundelein, IL

Posted Feb 03, 2025

B2B Sales Account Executive

Company:

Location: Arlington Heights, IL

Posted Feb 03, 2025

Software Development Team Lead - Java

Company:

Location: Northbrook, 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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