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.

Arquiteto de solução - cognitiva

Company: IBM

Location: SÃO PAULO, BR

Posted Dec 09, 2025

This text describes a senior professional role in IBM Consulting focused on innovation, collaboration, and technical expertise. It highlights opportunities to work with global clients, leverage advanced technologies like AI and cloud computing, and contribute to impactful projects through a culture of continuous learning and growth.

Network and Computer Systems Administrator Apprentice

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 09, 2025

The text promotes IBM's apprenticeship program as an opportunity to grow professionally, solve complex problems, and develop skills through hands-on experience. It emphasizes collaboration, learning, and career advancement while outlining requirements and program structure.

Full Stack Developer

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This job description highlights opportunities for growth in innovative cloud technologies at IBM, emphasizing career development and impactful projects.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

The role involves working in IBM's delivery centers to deliver technical expertise and innovation, focusing on data analysis, predictive modeling, and collaboration with diverse teams using tools like Python and Spark.

Package Consultant-Oracle Cloud HCM

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM focusing on hybrid cloud and AI solutions, emphasizing collaboration with clients, innovation, and career growth opportunities. Responsibilities include developing technical solutions, managing client relationships, and leveraging IBM's technology platforms to drive business impact.

Application Consultant-DevOps

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting, emphasizing collaboration with global clients, technical expertise in DevSecOps, and the impact of improving hybrid cloud and AI initiatives. It outlines role responsibilities, required skills, and the importance of innovation in technology adoption.

Data Scientist Intern (16 months, September 2026)

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

IBM's Data Scientist internship offers opportunities to work on large-scale systems and AI projects, requiring skills in Python, AI trends, and technical writing. It emphasizes growth and innovation in a collaborative environment.

SaaS DevOps Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

This job description outlines a DevOps Engineer role involving pipeline implementation, collaboration with teams, and technical expertise in CI/CD, scripting, and cloud technologies. It highlights required qualifications and preferred experience in automation, monitoring tools, and cloud platforms.

Data Engineer-Data Warehouse

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This job description outlines a Data Engineer role at IBM involving innovation, technical expertise, and collaboration. Responsibilities include data analysis, predictive modeling, and working with tools like Python and Spark. Required skills include DBT, ETL tools, and programming languages, with preferences for advanced technical experience and teamwork.

[ISE]Data Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a role at IBM Systems Engineering in Japan focusing on data-driven solutions for digital transformation. The position requires technical expertise in IBM products, collaboration with sales teams, and experience with database technologies like DB2. It emphasizes career growth through global collaboration opportunities.

Intern 2026: CMOS Circuit Design Intern – Quantum Computing Applications

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Research seeks a CMOS circuit design intern to contribute to quantum computing systems, requiring expertise in analog/mixed-signal design and tools like Cadence, with a focus on innovation and problem-solving.

Package Consultant-Oracle Industry Solutions

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This text describes a consulting role at IBM focusing on client collaboration, innovation, and technical expertise. It highlights opportunities to work on global projects, solve complex business problems, and leverage IBM's technology platforms. The role requires specific technical skills and experience with Oracle and Agile methodologies.

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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