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.

Quality Engineer-Automation

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and innovation. Responsibilities include teamwork, training, and communication skills, with requirements for a bachelor's degree and technical testing expertise.

System and Board Design Engineer (f/m/x)

Company: IBM

Location: Ehningen, DE

Posted Dec 09, 2025

IBM seeks a System and Board Design Engineer to innovate in high-performance computing. Collaborate globally on cutting-edge projects with expertise in signal/power integrity, PCB design, and automation. Requires a Master's in Electrical Engineering and proficiency in CAD tools.

Application Developer-SAP ABAP HANA

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, professional growth opportunities, and technical expertise in SAP solutions. It highlights a supportive culture, strategic partnerships, and advanced technologies for impactful client outcomes.

Application Developer-Java & Web Technologies

Company: IBM

Location: Gurgaon, IN

Posted Dec 09, 2025

This role offers opportunities to work with global clients on innovative projects, emphasizing career growth and technical expertise in hybrid cloud and AI solutions. The position highlights collaboration with industry visionaries, strategic partner ecosystems, and advanced technology platforms while requiring strong technical skills in Java, Spring, and Hibernate.

Procurement Sourcing Professional-Korean Bilingual

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

IBM emphasizes career growth and innovation in procurement roles, highlighting responsibilities like sourcing, cost optimization, and cross-functional collaboration. The role requires expertise in Korean, AI, and data analysis, with a focus on strategic partnerships and process improvements.

Advisory Software Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

This text promotes IBM's software engineering opportunities, emphasizing innovation, career growth, and cutting-edge AI technologies. It highlights roles in developing enterprise-level solutions, working with advanced tools, and contributing to transformative projects within a supportive team environment.

Project Manager-Application Operations

Company: IBM

Location: Taipei, TW

Posted Dec 09, 2025

IBM Software careers offer opportunities to lead innovative projects, collaborate in agile teams, and drive cloud-native solutions with growth potential.

Associate Application Consultant-AWS Cloud

Company: IBM

Location: Singapore, SG

Posted Dec 09, 2025

The text promotes IBM Consulting's Associate Program, emphasizing professional growth, global client collaboration, and opportunities to work on innovative technologies. It highlights career development, technical skills training, and the impact of solving complex client challenges through a culture of curiosity and continuous learning.

Brand Sales specialist

Company: IBM

Location: SYDNEY, AU

Posted Dec 09, 2025

IBM's AI and data platform enables organizations to leverage data across hybrid environments, creating value through trust and innovation. The role involves driving platform adoption, building client relationships, and collaborating on solutions that align with business goals.

Senior Data Scientist - Artificial Intelligence

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a Senior Data Scientist role at IBM Consulting, emphasizing technical leadership, cross-functional collaboration, and innovation in AI initiatives. The position requires expertise in machine learning, data governance, and cloud technologies, with opportunities for career growth and impactful client work.

Package Consultant-SAP HANA FIN CO

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It highlights the role of a senior SAP Consultant, required expertise in SAP technologies, and the importance of curiosity and problem-solving in delivering impactful results.

Senior Application Architect – Digital Engineering

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a Senior Application Architect role focused on defining and delivering PLM/Digital Engineering solutions, requiring technical leadership, mentoring, and expertise in Siemens Teamcenter. It emphasizes architectural design, system integration, and innovation in complex projects.

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.

Related Pages