Cutting-Edge Technologies Jobs

417,687 open positions · Updated daily

Artificial intelligence, quantum computing, edge AI, and blockchain are reshaping industries, driving a surge in demand for specialists who can innovate and scale solutions. Companies from fintech to healthcare are investing billions to secure early‑mover advantages, creating a competitive marketplace where experience in TensorFlow, Qiskit, and edge‑device orchestration is highly prized.

Key positions include AI/ML engineers building real‑time recommendation models, quantum algorithm developers crafting fault‑tolerant circuits in Qiskit or Cirq, edge AI architects deploying inference pipelines on NVIDIA Jetson or Raspberry Pi clusters, and blockchain architects designing permissioned ledgers with Hyperledger Fabric. These roles typically involve cross‑functional collaboration with data scientists, DevOps teams using Kubernetes, and security analysts to ensure compliance.

For professionals in these fast‑moving fields, transparent salary data is critical. It enables you to benchmark your value against peer companies, negotiate equity in early‑stage startups, and spot emerging hubs where quantum‑ready talent earns premium compensation. Without clear numbers, you risk accepting roles that under‑compensate for the high expertise required to stay ahead.

Associate Security Engineer

Company: IBM

Location: Antwerpen, BE

Posted Dec 09, 2025

This role offers opportunities to work with global clients, leverage advanced technologies, and grow in a collaborative environment with career development prospects.

Accounts Payable Analyst-Chinese Bilingual

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

IBM's job description emphasizes career growth, innovation, and impactful work while outlining responsibilities and requirements for roles involving invoice processing, tax validation, and team collaboration.

Project Manager for Financial Services

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions for innovative companies. It emphasizes collaboration with clients, project management in financial industries, and professional growth opportunities through strategic partnerships and technology platforms.

Associate Application Developer - Entry Level (Monroe, LA)

Company: IBM

Location: MONROE, US

Posted Dec 09, 2025

The text promotes IBM Consulting's Associate Developer role, emphasizing career growth opportunities, global collaboration with innovative companies, and technical expertise development through mentorship and cutting-edge technology. It highlights professional development, problem-solving impact, and working with advanced tools like AI and cloud platforms.

HashiCorp Senior Support Engineer (Secure)

Company: IBM

Location: MELBOURNE, AU

Posted Dec 09, 2025

This job description outlines a Senior Support Engineer role at HashiCorp, emphasizing troubleshooting, customer satisfaction, and collaboration. The position requires experience in DevOps, cloud platforms, and scripting, with remote work and occasional in-office collaboration.

AWSソリューションアーキテクト ※スカイアーチ出向

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description outlines a role as an AWS Solutions Architect at IBM, focusing on designing cloud architectures, collaborating with teams, and leveraging AWS technologies for customer solutions. It emphasizes career growth, technical expertise, and opportunities to work on innovative projects.

Technical Support Engineer

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a Technical Support Engineer role at IBM focused on solving complex technical issues, supporting enterprise customers, and contributing to innovative cloud-native solutions. It emphasizes career growth, collaborative teamwork, and expertise in technologies like Kubernetes, Apache Cassandra, and cloud monitoring tools.

Software Engineer - OpenSearch

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

IBM is seeking software engineers to develop AI-powered cloud-native solutions, emphasizing innovation, collaboration, and expertise in open-source technologies. The role involves contributing to OpenSearch projects and requires experience with distributed systems, Java, and cloud platforms.

Software Developer - Python Developer

Company: IBM

Location: Mulhuddart, IE

Posted Dec 09, 2025

This job posting highlights opportunities to work on cutting-edge AI-powered cloud-native software solutions at IBM. The role involves developing high-quality Python services for MCP protocol implementation, multitenancy features, and A2A agent integration. It emphasizes collaboration with distributed teams, strict code quality standards, and expertise in technologies like FastAPI, SQLAlchemy, and Redis.

Senior Support Engineer - HashiCorp

Company: IBM

Location: MELBOURNE, AU

Posted Dec 09, 2025

This job description highlights a Senior Support Engineer role at IBM focusing on customer satisfaction, technical expertise, and global collaboration. The position involves troubleshooting HashiCorp products, working with enterprise clients, and contributing to cloud solutions. Requirements include DevOps experience, bilingual fluency, and problem-solving skills.

Ingénieur Cloud/DevOps H/F - IBM Client Innovation Center

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves collaborating with global clients on cloud and AI solutions, leveraging IBM's technologies for innovation and career growth opportunities.

Sr. Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a senior engineering role at IBM focused on developing cloud-native infrastructure solutions. It highlights collaboration with cross-functional teams, contributions to HashiCorp products, and responsibilities involving system design, quality assurance, and mentorship. The role emphasizes innovation, scalability, and security in cloud environments.

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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