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.

Cloud Data Engineer

Company: Deloitte

Location: Atlanta, GA

Posted Jan 30, 2025

Product Manager

Company: Florence Healthcare

Location: Atlanta, GA

Posted Jan 29, 2025

Florence Healthcare Inc. is a leading software company that streamlines clinical trials, aiming to double the pace of new medicines reaching the market by the end of the decade. They are committed to improving research while fostering a positive work environment. The company has been recognized as a top workplace in Atlanta and nationally. The Product Manager role offers an opportunity to develop innovative solutions for customers, requiring a customer-focused mindset, problem-solving skills, and experience in B2B SaaS product management. Florence provides a competitive compensation package, a focus on health technology, and a high-output culture.

Director of Data Engineering, Workforce

Company: JPMorganChase

Location: Atlanta, GA

Posted Jan 29, 2025

The job description outlines a Director of Data Engineering role at JPMorgan Chase. The successful candidate will lead data engineering and drive impact across HR, Employee Experience, CAO, and EP teams. Key responsibilities include delivering data pipeline solutions, leading data engineering scrum teams, making strategic decisions, and uplifting data platforms. Required qualifications include formal training in Data Engineering, hands-on experience, and proficiency in cloud providers, AI developer automation tools, and Big Data technologies. Preferred qualifications include prior banking experience. The company offers competitive total rewards, benefits, and a diverse and inclusive work environment.

Senior Data Engineer (Hybrid- Midtown- Atlanta, Georgia)

Company: Cargill

Location: Atlanta, GA

Posted Jan 29, 2025

Cargill, a global family company, is seeking a Senior Data Engineer to design, develop, and operate complex data-centric solutions. The role involves collaborating with stakeholders, developing scalable data products, providing technical support, performing data analysis, and solving moderately complex issues. Preferred qualifications include experience with modern data architectures, data collection and ingestion, data storage and management, transformation and modeling tools, Big Data environments, Cloud Platforms, streaming platforms, programming languages, engineering tooling, DevOps models, data governance, analytical skills, communication skills, systems thinking, quality mindset, curiosity, teamwork, and adaptability.

Senior Data Engineering Framework Engineer (Hybrid-Midtown- Atlanta, Georgia)

Company: Cargill

Location: Atlanta, GA

Posted Jan 29, 2025

Cargill is a global family company that aims to nourish the world in a safe, responsible, and sustainable way. The company provides essential products such as food ingredients, agricultural solutions, and industrial products, connecting farmers with markets and customers with ingredients. The Sr Data Platform Engineer role involves building and maintaining the data and analytics platform, applying knowledge of software development and infrastructure as code practices. Key responsibilities include designing, developing, testing, deploying, and enhancing complex infrastructure components, coaching junior engineers, and promoting adoption of new technologies. The ideal candidate should have a Bachelor's degree, at least four years of related experience, and expertise in cloud infrastructure management, serverless technologies, and modern data architectures.

Field Marketing Manager (US Remote)

Company: Ansys

Location: Atlanta, GA / Remote

Posted Jan 30, 2025

(USA) Freight Flow Associate

Company: Walmart

Location: McDonough, GA

Posted Jan 30, 2025

(USA) Member Frontline

Company: Walmart

Location: Atlanta, GA

Posted Jan 30, 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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