Cutting-Edge Technology Jobs in Remote

237,676 open positions · Updated daily

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

Android Instructor - Contract 1099 - Part Time / Flexible

Company: CDW

Location: Remote

Posted Jan 25, 2025

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AR Consultant

Company: CDW

Location: Remote

Posted Jan 25, 2025

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Direct Tax Manager

Company: CDW

Location: Remote

Posted Jan 25, 2025

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Operations Analyst - Mainframe - Nights

Company: CDW

Location: Remote

Posted Jan 25, 2025

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pioneering technology collaborative culture global impact

Director, Sales Strategy & Field Operations

Company: Coupa Software

Location: Remote

Posted Jan 25, 2025

Coupa is a leading total spend management platform for businesses, offering AI-driven solutions informed by trillions of dollars of global spend data. The company values innovation, collaboration, and global impact. The role involves defining and tracking global sales programs, supporting territory management, and conducting analytical projects. The ideal candidate has 5+ years of experience in management consulting, operations, or program management, with strong analytical and communication skills. The estimated pay range varies based on location, with the highest range in the Bay Area, California.

View Details Apply on BuiltIn

Manager - Software Engineering

Company: CDW

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Associate Consulting Engineer - Managed Services Monitoring

Company: CDW

Location: Remote

Posted Jan 25, 2025

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Small Business Account Executive DACH (German speaker)

Company: HubSpot

Location: Remote

Posted Jan 25, 2025

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Principal Consulting Engineer - Fortinet Solutions

Company: CDW

Location: Remote

Posted Jan 25, 2025

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Associate Consulting Engineer - Managed Services Monitoring

Company: CDW

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Sr. Software Engineer, Cloud Security (Remote, IRE)

Company: CrowdStrike

Location: Remote

Posted Jan 25, 2025

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Red Hat Business Development Lead - Digital Velocity

Company: CDW

Location: Remote

Posted Jan 25, 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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