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.

Core Monitoring Software Reactor Engineer (Remote Eligible, U.S.)

Company: GE Vernova

Location: Wilmington, NC / Remote

Posted Feb 03, 2025

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Global Partner Seller - Embedded

Company: ServiceNow

Location: Bangalore, India / Remote

Posted Feb 03, 2025

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Staff Project Manager

Company: Yubico

Location: Remote

Posted Feb 03, 2025

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Defined Contributions Client Leader- (Virtual US)

Company: Alight Solutions LLC

Location: Remote

Posted Feb 03, 2025

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Governance Compliance Lead

Company: Twilio

Location: Remote

Posted Feb 03, 2025

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games should be played for decades reinvigorating them to continue to entertain for decades small company feel with the stability and resources of a much larger one

Analytics Manager (m/f/d)

Company: DECA Games

Location: Remote

Posted Feb 03, 2025

DECA Games is a remote company with over 400 employees in 38 countries, specializing in acquiring and revitalizing old games. They are looking for a Senior Data Analyst to join their international BI team. The role involves owning the analytics of their games, working closely with various teams, and delivering projects that impact major KPIs. The ideal candidate should have 25 years of experience as a Data Analyst or Data Engineer, solid knowledge of SQL, and experience with visualization tools like Tableau or PowerBI. Benefits include a remote-first culture, flexible work hours, language classes, and working in a multicultural environment.

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Manager, Software Engineering (Testing Platform Engineering)

Company: Affirm

Location: Remote

Posted Feb 03, 2025

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Product Engineer - Java Spring Boot

Company: Allstate

Location: Remote

Posted Feb 03, 2025

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Enterprise Account Executive (Southern US)

Company: UKG

Location: Remote

Posted Feb 03, 2025

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DERMS Integration Solutions Specialist

Company: GE Vernova

Location: Canada / Remote

Posted Feb 03, 2025

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Lead, Infrastructure Specialist

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Feb 03, 2025

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Senior Software Engineer, Infrastructure (Networking)

Company: Coinbase

Location: Remote

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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