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-FullStack

Company: IBM

Location: Multiple Cities

Posted Dec 12, 2025

This text describes a Full Stack Tester role with responsibilities spanning test leadership, automation, performance testing, data validation, and collaboration with cross-functional teams. It outlines required technical skills, tools, and educational qualifications for the position.

Lead Full Stack Developer (Golang)

Company: IBM

Location: Kochi, IN

Posted Dec 12, 2025

The text describes a job role requiring full-stack development expertise with cloud technologies, security practices, and collaboration across teams. It outlines responsibilities for API management, infrastructure optimization, and continuous improvement in a professional development context.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 12, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and strategic partnerships. It outlines responsibilities including software development, stakeholder collaboration, and continuous learning, along with required qualifications and technical skills.

Package Consultant-SAP HANA Application Security

Company: IBM

Location: Kolkata, IN

Posted Dec 12, 2025

The role involves working in IBM's delivery centers to deliver technical expertise and innovate solutions for clients. Responsibilities include SAP security implementation, project leadership, and testing. Required experience includes SAP Security Implementation and ECC 60 role build.

Python Data Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 12, 2025

The text describes a career in IBM Consulting emphasizing collaboration, innovation, and technical expertise. It highlights opportunities to work with global clients, develop hybrid cloud and AI solutions, and grow professionally through a supportive ecosystem.

Data Engineer (Python/SQL)

Company: IBM

Location: Heredia, CR

Posted Dec 12, 2025

This text describes a job opening for a Data Engineer at Hakkoda, an IBM company specializing in Snowflake Data Cloud solutions. The role involves designing data pipelines, working with cloud platforms, and collaborating with clients. Requirements include experience with SQL, Python, and cloud data platforms, along with agile teamwork skills.

Package Specialist-SAP HANA Basis

Company: IBM

Location: Pune, IN

Posted Dec 12, 2025

This job description outlines a role requiring technical expertise in SAP and related technologies, with responsibilities including backup/recovery, system monitoring, and project support. It specifies educational qualifications and experience in areas like SAP upgrades, HANA migration, and database management.

Business Value Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 12, 2025

The text describes a professional role requiring collaboration with cross-functional teams, development of value propositions, ROI analysis, and expertise in IBM solutions. It outlines responsibilities involving coaching sales teams, creating business cases, and maintaining industry knowledge, along with educational and certification requirements.

Quality Engineer-FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 12, 2025

This job description outlines a Middleware Testing Practitioner role at IBM Consulting, emphasizing technical expertise, automation tools, and experience in testing solutions. It lists required education, technical skills, and preferred qualifications for the position.

Application Developer-Cloud FullStack

Company: IBM

Location: Pune, IN

Posted Dec 12, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, requiring technical expertise in Java, React, and cloud platforms. It emphasizes innovation, stakeholder collaboration, and continuous learning.

Support Technician SAP LE-SHP

Company: IBM

Location: Multiple Cities

Posted Dec 12, 2025

This text describes a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP solutions, career growth opportunities, and contributions to client success through innovation and technology adoption.

SAP FI Consultant (Hana)

Company: IBM

Location: Multiple Cities

Posted Dec 12, 2025

This role involves implementing SAP HANA solutions for clients, collaborating with industry experts, and leveraging IBM's technology to drive innovation and client success through strategic partnerships and technical expertise.

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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