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.

Package Consultant-SAP HANA FIN VIM

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise in hybrid cloud and AI, and responsibilities involving solution design, project management, and technology implementation. It highlights opportunities to work with innovative companies and deliver impactful results through IBM's ecosystem.

Solution Architect-Data Platforms

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This job description highlights a leadership role in data engineering within IBM Consulting, emphasizing global collaboration, technical expertise in cloud and AI technologies, and leadership in managing complex projects. It outlines requirements for experience in data warehousing, cloud platforms, and team management, positioning the role as impactful and innovative.

Site Reliability Engineer II (Apptio)

Company: IBM

Location: Krakow, PL

Posted Dec 15, 2025

IBM promotes a forward-thinking work environment where innovation and collaboration drive cloud technology leadership. The role of a Site Reliability Engineer involves maintaining cloud infrastructure, solving complex problems, and working across teams to deliver mission-critical services with a focus on reliability and performance.

Test Analyst / Test Automation Specialist

Company: IBM

Location: Praha, CZ

Posted Dec 15, 2025

This job posting describes a testing team role at IBM Czech Testing Team, outlining responsibilities for test analysis, automation, and collaboration with stakeholders. It specifies requirements including 13 years of experience, technical skills in SDLC, test tools, and soft skills like communication. The position emphasizes quality assurance, continuous improvement, and integration with DevOps practices.

SAP Project Manager

Company: IBM

Location: Jakarta, ID

Posted Dec 15, 2025

This job description outlines the role of an SAP Project Manager, emphasizing leadership in SAP implementations, lifecycle management, and requirements for extensive experience, PMP certification, and expertise in large-scale business transformations.

EWM Consultant

Company: IBM

Location: Buffalo, US

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on delivering high-quality SAP solutions, leading teams, and leveraging advanced technologies like AI and cloud platforms. It emphasizes collaboration, growth opportunities, and strategic leadership in a global environment.

Application Developer-Microsoft Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

This role involves collaborating with clients on hybrid cloud and AI projects using Microsoft technologies, requiring expertise in software development and agile practices. The position emphasizes innovation, technical collaboration, and career growth opportunities within IBM's global ecosystem.

Software Engineer - DBaaS Serverless

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves developing cloud-native solutions for IBM's Astra DB platform, requiring expertise in Kubernetes and cloud infrastructure. The team emphasizes innovation and growth opportunities within a collaborative environment.

Software Engineer, Quality

Company: IBM

Location: Brno, CZ

Posted Dec 15, 2025

This text promotes an IBM Software career opportunity emphasizing innovation, growth, and collaboration. It outlines roles in software development and testing with focus on quality assurance, automation frameworks, and cloud-native solutions. Required skills include Java expertise, CI/CD integration, and cloud technologies, while preferred qualifications highlight advanced degrees and scripting proficiency.

Business Transformation Consultant-Manufacturing

Company: IBM

Location: Hsinchu, TW

Posted Dec 15, 2025

This job description highlights a career in IBM Consulting focused on business transformation through technology, collaboration with global clients, and leveraging hybrid cloud and AI solutions. The role emphasizes strategic partnerships, technical expertise, and continuous communication to deliver impactful results for innovative companies.

Application Developer-Cloud FullStack

Company: IBM

Location: Pune, IN

Posted Dec 15, 2025

This role involves collaborating with clients on hybrid cloud and AI projects, working in innovation centers, and developing features with stakeholders. Required skills include Java, Springboot, and Angular.

IBM Power Security Product Manager

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

IBM promotes itself as a global tech leader offering innovative opportunities. The Product Manager role focuses on cybersecurity strategy, requiring expertise in security offerings and client collaboration.

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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