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.

Back-End Developer

Company: IBM

Location: Hursley, GB

Posted Dec 09, 2025

The text discusses IBM's data storage solutions and a Software Development Engineer role requiring technical skills and collaboration. It highlights team collaboration, Agile methodologies, and professional growth opportunities.

Associate Application Developer - Entry Level (Lansing, MI)

Company: IBM

Location: Lansing, US

Posted Dec 09, 2025

The text promotes IBM Consulting's role offering professional growth, innovation opportunities, and collaboration with global clients. It emphasizes technical expertise, career development, and working on impactful projects with cutting-edge technologies.

PROCESS DELIVERY SPECIALIST-PROCURE TO PAY

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and innovation. It emphasizes growth opportunities, strategic partnerships, and impactful work with cutting-edge technologies like AI and hybrid cloud solutions.

HPC Infrastructure Specialist Linux

Company: IBM

Location: TIMISOARA, RO

Posted Dec 09, 2025

The text describes a job opening for an Infrastructure Specialist requiring Ansible and Linux skills, highlighting responsibilities like automation development, collaboration, and continuous improvement. It outlines qualifications, preferred education, and experience in infrastructure development.

Package Consultant-SAP HANA SCM IBP

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This role involves collaborating with clients on SAP solutions and innovative projects, offering growth opportunities and technical expertise in IBM's consulting environment.

Security Specialist-Infrastructure Security

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The text describes a role at IBM Consulting involving technical expertise, cloud engineering, and system infrastructure. It outlines responsibilities, required skills, and educational qualifications for a position focused on innovation, reliability, and data-driven decision-making in a collaborative environment.

Senior Developer - Public Sektor (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a job role at IBM's Client Innovation Center, emphasizing technical expertise, innovation opportunities, and responsibilities involving solution development and system implementation. It highlights required skills in Java, Angular, cloud technologies, and collaboration in agile teams, while promoting diversity and inclusion in the workplace.

2026 Senior Data Scientist Intern - Corporate Development (M&A)

Company: IBM

Location: New York, US

Posted Dec 09, 2025

This text describes a Data Scientist internship role at IBM, focusing on transforming data into business value through AI and analytics. The position involves collaboration, problem-solving, and working with advanced technologies to drive enterprise performance and innovation.

Payroll Practitioner (Japanese Speaker)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This text describes a senior consulting role at IBM focusing on innovation, technical expertise, and collaboration with clients. It highlights responsibilities involving process improvement, technical support, and leadership in solving complex business challenges. Requirements include Japanese language proficiency, ERP systems experience, and strong analytical skills.

Consultor(a) SAP EWM

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a SAP Consultant role at IBM Consulting, emphasizing technical expertise, client collaboration, and responsibilities in SAP EWM AMS support. It details required skills, educational background, and global teamwork expectations.

Application Architect - IBM Technology

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This job description outlines a senior data architecture role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and career growth opportunities. The position requires expertise in modern data platforms, architectural leadership, and compliance with regulatory standards, while promoting a culture of continuous learning and impactful problem-solving.

Digital Sales Technical Specialist - Automation Platform for Italian Market

Company: IBM

Location: Valencia, ES

Posted Dec 09, 2025

This text promotes a Digital Sales Technical Specialist role at IBM, emphasizing career growth, collaboration, technical expertise, and impactful work. It highlights opportunities for professional development, client engagement, and contributing to business success through innovative solutions.

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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