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 Software Engineer

Company: Salesforce

Location: Chicago, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Developmental Engineer

Company:

Location: Mount Vernon, IL

Posted Feb 03, 2025

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Developmental Engineer

Company:

Location: Godfrey, IL

Posted Feb 03, 2025

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Corporate Chef role shape and execute culinary strategy collaborate with Sales team

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.

View Details Apply on BuiltIn

Verizon Sales Consultant

Company:

Location: Woodstock, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Developmental Engineer

Company:

Location: Lake Forest, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Developmental Engineer

Company:

Location: Wheaton, IL

Posted Feb 03, 2025

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Lead Operations Strategy Analyst

Company: Discover

Location: Riverwoods, IL

Posted Feb 03, 2025

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Client Service Senior Manager

Company: JPMorgan Chase

Location: Chicago, IL

Posted Feb 03, 2025

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Creative Director

Company: ServiceNow

Location: Chicago, IL / Remote

Posted Feb 03, 2025

View Details Apply on The Muse

Logistics Analyst

Company:

Location: Schaumburg, IL

Posted Feb 03, 2025

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RN - Home Health - PRN

Company:

Location: Springfield, IL

Posted Feb 03, 2025

View Details Apply on The Muse

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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