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.

Cyber Systems Operations

Company:

Location: Mount Prospect, IL

Posted Jan 30, 2025

Cyber Systems Operations

Company:

Location: Macomb, IL

Posted Jan 30, 2025

Cyber Systems Operations

Company:

Location: Edwardsville, IL

Posted Jan 30, 2025

Cyber Systems Operations

Company:

Location: O'Fallon, IL

Posted Jan 30, 2025

Senior Product Manager, AI \u0026 Data

Company: BigTime Software, Inc.

Location: Chicago, IL

Posted Jan 30, 2025

BigTime is seeking a Senior Product Manager to lead the development and integration of AI-powered features into their SaaS platform. The role involves defining product strategies, delivering innovative solutions, and enhancing customer satisfaction. The ideal candidate will have 5+ years of technical product management experience, 3+ years managing SaaS products, and a proven track record of delivering AI-powered features. They will be responsible for AI product strategy and execution, integration and API roadmap, cross-functional collaboration, and product delivery and analytics. BigTime offers a competitive salary, comprehensive benefits, and a hybrid work schedule. This role is critical for BigTime's future growth, as they aim to transform how professional services organizations manage projects and make data-driven decisions.

Cyber Systems Operations

Company:

Location: Danville, IL

Posted Jan 30, 2025

Rate Filing Analyst

Company: CNA

Location: Chicago, IL

Posted Jan 30, 2025

CNA is offering a Rate Filing Analyst position with a clear career vision and leadership support. The role involves working on major projects, preparing actuarial rate filings, and collaborating with various departments. The ideal candidate should be a creative self-starter with strong technical skills in Microsoft Excel, SQL, and/or VBA. The position offers a hybrid work schedule and a competitive salary range of $76,000 to $95,000 annually. CNA is committed to fostering a culture where employees feel valued and their abilities are fully utilized.

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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