Cutting-Edge Technology Jobs in Remote

237,723 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.

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Insights Manager

Company: DISQO

Location: Remote

Posted Jan 25, 2025

DISQO is seeking a data-driven insights leader to join their Ad Measurement team. The ideal candidate will have a passion for insights and innovation in digital and media spaces, with a strong background in consumer research and marketing analytics. The role involves championing customer relationships, driving end-to-end ad measurement solutions deployment, and contributing to process optimization. DISQO offers a positive, performance-oriented workplace with competitive benefits and a flexible hybrid approach.

View Details Apply on BuiltIn

Senior Analyst, Security Compliance

Company: Twilio

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Technical Consultant - Source-to-Pay (S2P)

Company: ServiceNow

Location: Staines, United Kingdom / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Assistant CRA (ACRA, in-house CRA)

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Q2C Solution architect

Company: Hitachi Energy

Location: Krakow, Poland / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Advisory Solution Consultant - Payer Accounts

Company: ServiceNow

Location: Louisville, KY / Remote

Posted Jan 25, 2025

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Marketing Operations Manager

Company: LogicGate

Location: Remote

Posted Jan 25, 2025

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Product Engineer Java Springboot

Company: Allstate

Location: Remote

Posted Jan 25, 2025

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Electrical Engineer - Speed Governors (Talent Pipeline)

Company: GE Vernova

Location: Taubaté, Brazil / Remote

Posted Jan 25, 2025

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Lead System Design Engineer

Company: GE Vernova

Location: Houston, TX / Remote

Posted Jan 25, 2025

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Senior Software Engineer II, Front End - Workspaces (Remote Eligible)

Company: Smartsheet

Location: Bellevue, WA / Remote

Posted Jan 25, 2025

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Senior Oncology Account Specialist GU Newark, NJ

Company: Pfizer

Location: Newark, NJ / 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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