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.

Insights, ServiceNow Futures Director

Company: ServiceNow

Location: Santa Clara, CA / Remote

Posted Feb 03, 2025

EMEA Strategic Engagements Director (Elevate)

Company: ServiceNow

Location: Munich, Germany / Remote

Posted Feb 03, 2025

Operations Specialist - Luxury Sales

Company: Veta Virtual

Location: Remote

Posted Feb 02, 2025

Veta Virtual is hiring an Operations Specialist for Luxury Sales to support UHNW clients and businesses remotely. The role involves client relationship management, sales excellence, technology integration, unified assistant identity representation, and internal collaboration. The ideal candidate should have 2+ years of relevant experience, familiarity with the luxury sector, and proficiency with tools like HubSpot, Podium, Slack, and G Suite. The company offers a competitive salary, flexible work environment, paid time off, a supportive culture, and exciting opportunities in the luxury industry.

Trademark Docketing Specialist

Company: ALT Legal

Location: Remote

Posted Feb 02, 2025

Alt Legal is seeking an experienced Trademark Docketing Specialist to join their innovative service offering, Alt Legal Assist. The role involves providing docketing support for trademark prosecution and enforcement matters, creating and updating docket records, collaborating with the team to streamline workflow processes, and assisting with onboarding new clients. The ideal candidate should have a minimum of 10 years of experience in a trademark docketing specialist role, extensive knowledge of USPTO and WIPO procedures, and strong organizational skills. Alt Legal is a forward-thinking company known for its automated trademark management tools and services, trusted by over 1000 global law firms and Fortune 100 companies. The role offers a unique opportunity to be at the ground level of building a new service integral to Alt Legal's growth and success.

Junior Technical Writer

Company: Leidos

Location: Remote

Posted Feb 03, 2025

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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