Cutting-Edge Technologies Jobs in Atlanta, GA

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

Staff Pharmacist (hourly)

Company: Walmart

Location: Augusta, GA

Posted Jan 25, 2025

Lead - 2nd Shift

Company: GXO

Location: Lithia Springs, GA

Posted Jan 25, 2025

US - National Sales Director

Company: Jobandtalent

Location: Atlanta, GA

Posted Jan 25, 2025

JobampTalent, a leading tech-enabled marketplace, is seeking a National Sales Director to lead and grow its business across the US with large enterprise clients. The role involves developing and executing a national sales plan, establishing and nurturing client relationships, and driving revenue growth. The ideal candidate should have proven experience in staffing sales, particularly in light industrial and skilled trades sectors, at a national level. The position offers a competitive base salary and a highly rewarding commission structure, with substantial earning potential. The role requires extensive travel across the US to meet clients and generate new business.

Staff Pharmacist

Company: Walmart

Location: Griffin, GA

Posted Jan 25, 2025

Software Engineer, Distributed Systems (Go and/or Rust)

Company: Cloudflare

Location: Atlanta, GA

Posted Jan 26, 2025

Cloudflare is a rapidly growing company seeking talented Distributed Systems Engineers to work on high-impact projects. The role involves building and operating software that powers millions of Internet properties worldwide. Desirable skills include protocol-level understanding, proficiency in multiple programming languages (bonus points for Go and Rust), strong systems-level programming skills, and experience with continuous integration and source control. The company offers competitive compensation, equity participation, and a comprehensive benefits package.

Business Account Executive

Company: Spectrum

Location: Columbus, GA

Posted Jan 25, 2025

Frequently Asked Questions

What are the typical salary ranges for Cutting‑Edge Technologies roles at different seniority levels?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, lead $210k–$260k, and director or VP roles can exceed $260k, especially in quantum research or high‑frequency trading firms. Quantum developers often command $140k–$190k at entry level, scaling to $250k+ for senior architects. Edge AI specialists see similar brackets, with high‑performance computing roles reaching $220k+.
What skills and certifications are typically required in Cutting‑Edge Technologies?
Core programming in Python, C++, and Rust; machine‑learning libraries like TensorFlow, PyTorch, and JAX; quantum toolkits such as Qiskit, Cirq, or Rigetti Forest; edge frameworks like EdgeX Foundry, NVIDIA DeepStream, and TensorRT; and blockchain platforms including Hyperledger Fabric, Ethereum, and Cosmos SDK. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Architect are highly valued.
Is remote work available for Cutting‑Edge Technologies positions?
Yes. Nearly 70% of AI and quantum roles offer full‑remote or hybrid options, especially at SaaS vendors, fintech startups, and research labs. Edge and blockchain positions often require on‑site presence for hardware maintenance, but many companies now provide remote‑first environments with virtual lab access.
What are the career progression paths in Cutting‑Edge Technologies?
Typical paths start with Junior Engineer → Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Technical Fellow. For quantum and blockchain, an engineer can advance to Quantum Architect or Blockchain Lead, then to Director of R&D or Chief Technology Officer. Continuous learning through advanced degrees, specialized certifications, and contributions to open‑source projects accelerates promotion.
What industry trends are shaping the future of Cutting‑Edge Technologies?
AI is moving toward federated learning and explainable AI, increasing demand for privacy‑preserving models. Quantum computing is transitioning from academic prototypes to commercial QPU services, boosting roles in error‑correction and algorithm design. Edge AI is expanding with 5G and IoT, driving real‑time inference on low‑power devices. Blockchain is shifting from payment networks to interoperable smart‑contract ecosystems and decentralized identity solutions.

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