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

Company: IBM

Location: Jakarta, ID

Posted Dec 09, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, emphasizing innovation, career growth, and technical expertise in software development. The position highlights opportunities for impactful problem-solving, strategic stakeholder engagement, and working with cutting-edge technologies.

Application Arhictect

Company: IBM

Location: Seoul, KR

Posted Dec 09, 2025

This job description outlines a Cloud Application Architect role at IBM Consulting, emphasizing collaboration with global clients, designing scalable cloud solutions, and leading technology selection. It highlights required qualifications including a bachelor's degree, 7+ years of experience, and expertise in cloud platforms like AWS and Azure.

Senior Workday Integrations Consultant

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This role involves working with clients to deliver Workday solutions, requiring expertise in integrations and technologies. It offers opportunities for growth and collaboration across industries.

Application Developer-Cloud FullStack

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, requiring technical expertise in Java, AWS, and microservices. Responsibilities include feature development, stakeholder collaboration, and continuous learning.

Senior SAP Consultant – Credit Management & TRM

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, technical expertise in SAP systems, leadership opportunities, and career growth through innovative solutions and industry expertise.

Package Consultant-SAP SCM APO

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM emphasizing collaboration with clients, technical expertise in SAP, and opportunities for professional growth. It highlights responsibilities like leading teams, delivering solutions, and gaining industry knowledge, while outlining required qualifications and preferred skills.

Package Consultant-Oracle HCM Talent Management Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM focusing on client collaboration, hybrid cloud innovation, and technical expertise. It outlines responsibilities like solution development, Agile methodology, and Oracle Cloud implementation, emphasizing career growth and impactful client outcomes.

Application Architect-Oracle Cloud Applications

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This role involves software development, stakeholder collaboration, and expertise in Oracle Database Integrator and API integration. Responsibilities include feature development, issue resolution, and technology implementation for hybridcloud and AI initiatives.

Lead FullStack Developer - Public Sektor (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job posting describes a Lead Developer role at IBM's Client Innovation Center, requiring expertise in Java, microservices, and cloud technologies. It highlights opportunities for innovation, collaboration with cross-functional teams, and emphasis on diversity and inclusion.

Agent Analytics & AI Insights- MSc and PHD-Summer internship 2026- Research Lab

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes an exciting summer internship opportunity at IBM Research, highlighting innovative work in AI agent development. It emphasizes collaboration with leading researchers, cutting-edge projects, and the potential to make significant impacts in AI and intelligent systems. The role involves research, experimentation, and collaboration in a rapidly growing field.

AECC - Virtualization Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a Virtualization Engineer role supporting the Army Edge Computing Capability project, involving VMware suite deployment, Infrastructure as Code, and cybersecurity expertise. The position requires in-person work in Radford VA and emphasizes collaboration, innovation, and career growth within IBM Consulting's ecosystem.

Sr. Software Developer AI Center of Excellence

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job posting highlights a role in developing AI-based cloud services with opportunities for innovation, collaboration, and professional growth. The position requires expertise in AI, cloud technologies, and agile development while emphasizing safety, velocity, and technical leadership.

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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