Cutting-Edge Technology Jobs in Washington DC

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

Configuration Analyst Senior Advisor

Company:

Location: Washington, DC

Posted Feb 03, 2025

Manager, Information Security Office (ISO) Consultant

Company: Capital One

Location: Washington DC

Posted Feb 03, 2025

Capital One is seeking a Manager Information Security Office ISO Consultant with at least 4 years of experience in cybersecurity or information technology. The role involves acting as a central Information Security point of contact, coordinating proactive consulting, and securing design solutions. The ideal candidate should have a deep passion for securing modern computing platforms, strong conceptual thinking, and excellent communication skills. The position offers a competitive salary and comprehensive benefits. Capital One is an equal opportunity employer committed to diversity and inclusion.

Senior Data Scientist

Company:

Location: Washington, DC

Posted Feb 03, 2025

Fraud Technologist - Data and Analytics - Sr Associate

Company: PwC

Location: Washington DC

Posted Feb 03, 2025

PwC's Financial Crimes Data and Analytics team focuses on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to optimize clients' operations and achieve strategic goals. As a Senior Associate in Business Intelligence, you will focus on providing strategic insights and driving informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. Building meaningful client connections and managing others are key aspects of the role. The position requires critical thinking, problem-solving skills, and the ability to navigate complex situations. PwC values professionals who can interpret data, uphold professional standards, and continuously develop their skills and knowledge.

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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