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.

Cyber Systems Operations

Company:

Location: Washington, UT

Posted Jan 23, 2025

The Air Force emphasizes the importance of securing its advanced computer and software systems, which is the responsibility of Cyber Systems Operations specialists. These experts design, install, and maintain systems to ensure optimal performance and security. To join the Air Force, applicants must meet certain requirements including educational qualifications, ASVAB score, completion of specific courses and background investigations, and age restrictions.

Java Developer & Automation Tester

Company: IBM

Location: Washington, DC

Posted Jan 23, 2025

IBM Consulting offers a career with long-term relationships and collaboration with global clients, focusing on hybrid cloud and AI. The role involves Java development and automation testing for mission-critical financial systems. The ideal candidate should have at least 5 years of experience in Java development and automation testing, with expertise in Java-based testing frameworks. This is an opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to innovative solutions.

Senior Active Directory Engineer - REMOTE (Engineer Systems 3) - 4298

Company: Alion Science and Technology

Location: Washington, DC

Posted Jan 23, 2025

HII-TSD is seeking a Senior Active Directory Engineer for a fully remote role supporting the U.S. Courts Administrative Office. The role involves assisting with Inter-Forest User Migrations, Account Management, Provisioning, and AD Infrastructure. Key responsibilities include troubleshooting, maintaining AD management tools, creating training materials, and managing multiple projects. Essential requirements include 5 years of relevant experience with a Bachelor's degree, advanced knowledge in AD architecture, DNS, Kerberos, Windows Authentication, and strong networking skills. Preferred skills include experience with Quest Migration Manager for AD, Identity & Access Management concepts, ADFS, MFA, and SSO.

Senior Consultant, GRC, Proactive Services (Unit 42) - Remote

Company: Palo Alto Networks

Location: Washington, DC

Posted Jan 23, 2025

Palo Alto Networks is a cybersecurity company dedicated to protecting the digital way of life. They are committed to innovation and disrupting traditional methods, valuing each team member's unique ideas. The Senior Consultant, GRC for Proactive Services role involves assisting the Governance, Risk, and Compliance team, assessing security risks, and providing recommendations to improve clients' security posture. The company offers comprehensive benefits, including flexible wellbeing programs and opportunities for professional growth. They are looking for candidates with 4+ years of experience in information security and risk assessments, knowledge of GRC tools, and a track record in strengthening client relationships.

Registered Nurse Care Manager (RN)

Company:

Location: Washington, CT

Posted Jan 23, 2025

Software Engineer (Technical Leadership) - Machine Learning

Company: Meta

Location: Washington, DC

Posted Jan 23, 2025

Meta is recruiting for a Machine Learning Engineer position, seeking candidates with industry experience in various classification and optimization problems. The role involves applying these skills to large-scale social data and prediction problems. Key responsibilities include driving team goals, communicating complex features, understanding industry trends, collaborating with leaders, identifying new opportunities, and developing scalable classifiers. The ideal candidate should have a Computer Science or related technical degree, extensive programming experience, and a proven track record in planning multi-year roadmaps. Meta offers competitive compensation and benefits, and is committed to equal employment opportunities.

Personal Banker - Skyland

Company: PNC

Location: Washington, DC

Posted Jan 23, 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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