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.

Application Developer-SAP ABAP HANA

Company: IBM

Location: New Delhi, IN

Posted Dec 09, 2025

This text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients on hybrid cloud and AI initiatives. Responsibilities include feature development, stakeholder collaboration, and continuous learning. Requirements involve a bachelor's degree, ABAP on HANA expertise, and experience with SAP technologies.

Brand Technical Specialist– Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's Brand Technical Specialist role emphasizes collaboration, technical expertise, and career growth, offering opportunities to solve complex challenges and drive digital transformation.

Network Security Consultant - L3

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in network security, and opportunities for long-term growth. It outlines responsibilities involving advanced technologies and requires experience with cloud platforms and security tools.

Data Engineer-Data Warehouse

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This job description outlines a Data Engineer role at IBM Consulting, emphasizing collaboration in innovation centers, technical expertise in data processing, and use of advanced tools like Spark and Hadoop. The position requires teamwork, communication skills, and experience with ETL tools and programming languages.

Dealmaker

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

IBM's AI and data platform enables organizations to leverage data across hybrid environments, creating value through trust, speed, and innovation. The role involves leading complex technology deals, articulating business value, and structuring long-term contracts with international clients.

Package Consultant-SAP HANA FIN CO

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with global clients, innovative projects, career growth opportunities, and expertise in SAP technologies. It highlights the potential for skill development and impactful work across industries.

Software Development Manager – Distributed Systems (Cloud Database)

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

Astra Serverless seeks a Software Development Manager to lead the design and development of distributed database systems. The role involves tackling challenges in scalability and reliability while contributing to the future of cloud-native databases.

Java Full Stack developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves working with clients on hybrid cloud and AI projects, requiring expertise in Java, Spring Boot, and other technologies. It offers opportunities to innovate and solve complex problems through strategic collaboration and technical expertise.

D365 Technical Consultant with PowerPlatform experience

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role involves working with clients on Microsoft solutions, emphasizing collaboration, innovation, and growth opportunities. Required skills include expertise in Microsoft technologies and Agile methodologies.

Associate Application Consultant Co-op 2026

Company: IBM

Location: No City, US

Posted Dec 09, 2025

This text promotes IBM Consulting's career opportunities, emphasizing collaboration with global clients, professional growth, and impactful work in hybrid cloud and AI. It highlights skill development, mentorship, and potential for full-time roles, while outlining required and preferred qualifications for the position.

Intern 2026: IBM Quantum Sales and Operations

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes an internship opportunity at IBM Research focused on Quantum Computing, highlighting responsibilities like client engagement, sales support, and technical communication. It emphasizes IBM's innovation-driven culture, required skills in communication and technology, and the transformative potential of quantum computing. The role combines technical expertise with business acumen, offering growth in a cutting-edge field.

Cloud Platform Software Engineer - OpenSearch

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This text promotes IBM's software career opportunities, highlighting innovation in AI-powered cloud-native solutions, collaborative environments, and professional growth. It outlines roles involving cloud infrastructure, open-source projects, and technical expertise in Kubernetes and distributed systems.

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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