Cutting-Edge Technology Jobs in Atlanta, GA

28,645 open positions · Updated daily

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

Customer Success Manager II, Apigee, Google Cloud

Company: Google

Location: Atlanta, GA

Posted Feb 03, 2025

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Employment Legal Counsel

Company: Intuitive

Location: Norcross, GA

Posted Feb 03, 2025

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aerospace and defense technology company radically accelerate air travel develop hypersonic aircraft quickly and costeffectively

Manager, Flight Software Engineering

Company: Hermeus

Location: Atlanta, GA

Posted Feb 02, 2025

Hermeus, an aerospace and defense technology company, is seeking a Manager of Flight Software Engineering. The role involves overseeing the software engineering function for high-speed aircraft, leading the design, development, and integration of software systems for safe and efficient operation. The ideal candidate should have a Bachelors or Masters degree in Computer Engineering or a related field, with 8+ years of experience in embedded flight software development, including at least 2 years in a leadership or principal technical role. Preferred qualifications include experience in a startup environment, aerospace safety standards, avionics systems, and hypersonic or commercial space sectors. The company is committed to equal opportunity and non-discrimination.

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AMI Quality Engineering - Senior Consultant SAP Test Lead

Company: Deloitte

Location: Atlanta, GA

Posted Feb 03, 2025

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Central Technology Services Endpoint Manager - Atlanta, GA

Company: CRH

Location: Atlanta, GA

Posted Feb 03, 2025

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Security Risk Management Senior Lead

Company:

Location: Norcross, GA

Posted Feb 03, 2025

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Senior Palantir Developer

Company: Deloitte

Location: Atlanta, GA

Posted Feb 03, 2025

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Oracle Functional EPM Consultant

Company: Deloitte

Location: Atlanta, GA

Posted Feb 03, 2025

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Nurse Manager

Company:

Location: Columbus, GA

Posted Feb 03, 2025

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Verizon Sales Consultant

Company:

Location: Athens, GA

Posted Feb 03, 2025

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Digital Experience Designer

Company: CVS Health

Location: Atlanta, GA

Posted Feb 03, 2025

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Lead Application Security Engineer

Company:

Location: Norcross, GA

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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