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.

Senior Database Administrator

Company:

Location: Gurnee, IL

Posted Jan 25, 2025

Senior Technical Program Manager

Company: CVS Health

Location: Springfield, IL

Posted Jan 25, 2025

Software Development Team Lead - Java

Company:

Location: Lake Bluff, IL

Posted Jan 25, 2025

Cybersecurity Engineer (Network)

Company: Discover

Location: Riverwoods, IL

Posted Jan 25, 2025

Inclusive Design Manager

Company: CapTech

Location: Chicago, IL

Posted Jan 25, 2025

Facilities Manager

Company: Flex

Location: Mundelein, IL

Posted Jan 25, 2025

4am Inbound (Stocking) (T1176)

Company: Target

Location: Arlington Heights, IL

Posted Jan 25, 2025

Category Operations Manager

Company: Instawork

Location: Chicago, IL

Posted Jan 25, 2025

Instawork, a leading flexible work app, is seeking a Category Operations Manager to drive key account success, manage scalable in-market operations, and collaborate with cross-functional teams. The role involves frequent travel, customer-facing responsibilities, and a passion for problem-solving. The company offers competitive compensation, benefits, and a fast-paced, innovative work environment.

Principal Technical Specialist - Talent & Development

Company: Kraft Heinz

Location: Chicago, IL

Posted Jan 25, 2025

Kraft Heinz is offering a Principal Technical Specialist Talent & Development position with a focus on HR tech development, cross-functional collaboration, and continuous improvement. The role involves mentoring junior developers, writing and reviewing scalable codes, and ensuring HR technology systems comply with regulatory requirements. The company provides comprehensive benefits, including medical, dental, vision coverage, 401k matching, and a total rewards package. The ideal candidate should have experience with digital HR products, Agile development teams, software engineering, and DevOps processes.

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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