Cutting-Edge Technology Jobs in Chicago, IL

38,024 open positions · Updated daily

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

Lead Product Manager (P3324)

Company: 84.51°

Location: Chicago, IL

Posted Feb 03, 2025

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Cyber Systems Operations

Company:

Location: Southport, IL

Posted Feb 03, 2025

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Senior Rails Developer competitive compensation health

Senior Rails Developer - Backend Focus (Hybrid)

Company: Enova

Location: Chicago, IL

Posted Feb 03, 2025

Enova International is seeking a Senior Rails Developer with 4+ years of experience in fullstack development. The role involves working on both older and newer applications, contributing to system scalability and resilience, and collaborating with technical and business stakeholders. The company offers competitive compensation, benefits including health, dental, vision insurance, 401k matching, and a roth option, and a range of perks such as hybrid roles, PTO, paid holidays, sabbatical program, summer hours, and paid parental leave. Enova is a values-driven organization committed to making accessible credit for millions, with a focus on inclusion and employee thriving.

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Cyber Systems Operations

Company:

Location: Marion, IL

Posted Feb 03, 2025

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Software Development Team Lead - Web

Company:

Location: Mundelein, IL

Posted Feb 03, 2025

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Software Development Team Lead - Web

Company:

Location: Gurnee, IL

Posted Feb 03, 2025

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Senior Manager, Global Fulfillment CoE/BPO - Logistics/Warehousing & Analytics

Company: Suntory Global Spirits

Location: Chicago, IL

Posted Feb 03, 2025

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Cyber Systems Operations

Company:

Location: Marion, IL

Posted Feb 03, 2025

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Cyber Systems Operations

Company:

Location: Sheffield, IL

Posted Feb 03, 2025

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Client Solutions Manager, B2B

Company: Kepler Group

Location: Chicago, IL

Posted Feb 03, 2025

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Commercial Named Account Executive

Company: Yubico

Location: Chicago, IL

Posted Feb 03, 2025

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(USA) Member Specialist

Company: Walmart

Location: Aurora, IL

Posted Feb 03, 2025

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Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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