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.

Data Developer

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

IBM CIC offers extensive career growth opportunities, training programs, and a supportive culture focused on innovation and client impact.

Application Developer-Microsoft .NET

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

IBM Consulting offers a career focused on innovation and collaboration with global clients, emphasizing technology expertise and professional growth through strategic partnerships and continuous learning.

Experienced Data Scientist – Advanced Analytics - IBM CIC France - H/F

Company: IBM

Location: Bois Colombes Cedex, FR

Posted Dec 15, 2025

This job description highlights opportunities to work in IBM's innovation centers, collaborate with global clients, and leverage advanced technologies for impactful projects. It emphasizes career growth, technical expertise, and collaborative innovation in data science roles.

Data Scientist-Advanced Analytics

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a Data Engineer role at IBM Consulting, involving data analysis, innovation, and collaboration with cross-functional teams. Responsibilities include developing predictive models, designing search applications, and working in Agile environments. Required qualifications include a Bachelor's degree and specific technical expertise in AI and data technologies.

Application Database Administrator-RDBMS

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text promotes IBM Consulting as a career opportunity emphasizing long-term client relationships, collaboration, and innovation. It highlights the use of advanced technologies to drive meaningful change and accelerate client impact. The role involves designing mobile solutions, continuous improvement through agile frameworks, and leveraging expertise in IBM DB2 and Linux/AIX systems.

Infrastructure Specialist-Cloud Data Platform Managed Services (Informatica Monitoring)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise in data platforms, and opportunities for growth. It highlights roles involving data management, problem-solving, and leveraging advanced technologies like Hadoop and Snowflake.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

The text describes a Software Developer role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in hybrid cloud and AI, and contributions to innovative projects. It outlines required skills in Java, UI frameworks, and system design, along with responsibilities involving feature development and stakeholder collaboration.

Solutions Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

This job description highlights a career at IBM Software focusing on transforming customer challenges into industry-leading solutions through collaboration, technical expertise, and innovation. The role emphasizes customer success, cross-functional teamwork, and driving business value with HashiCorp tools.

Security Consultant-Data Security

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves advising clients on security solutions, collaborating on hybrid cloud and AI projects, and leveraging IBM's technology to drive innovation and career growth.

Account Solution Architect

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

The role involves technical expertise in cloud solutions, collaboration with stakeholders, and driving innovation to solve complex business challenges.

Supply Chain Professional - Data Analyst

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 15, 2025

This text promotes IBM's Supply Chain Organization as a dynamic environment emphasizing continuous learning, technological innovation, and collaborative problem-solving. It highlights opportunities for professional growth, exposure to advanced tools, and impactful contributions to global supply chain optimization.

Senior Printed Circuit Board Supplier Qualification Engineer

Company: IBM

Location: Singapore, SG

Posted Dec 15, 2025

This job description highlights a senior role in IBM's Supply Chain Engineering division, focusing on technical leadership, supplier development, and quality governance. The position emphasizes innovation, global collaboration, and career growth within a supportive culture.

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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