Cutting-Edge Technology Jobs

743,241 open positions · Updated daily

Artificial intelligence, quantum computing, and edge‑compute platforms are driving the next wave of innovation. Startups and Fortune 500s alike are hiring engineers, data scientists, and hardware specialists to accelerate product pipelines, leading to a 35% year‑over‑year growth in open positions across the sector.

Typical roles include AI/ML engineer, quantum algorithm developer, edge‑device firmware architect, blockchain infrastructure lead, and autonomous systems tester. Responsibilities span building scalable models, designing low‑latency inference pipelines, optimizing quantum circuits, securing distributed ledgers, and validating sensor fusion algorithms.

Salary transparency is critical because cutting‑edge talent must negotiate for tools, research budgets, and equity that match the high skill cost. Knowing exact pay ranges for each seniority level helps professionals target roles that reward their expertise and avoid underpayment.

Package Consultant-Sterling Order Management

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting focusing on client collaboration, hybrid cloud, and AI innovation. It outlines role responsibilities, required technical expertise in Episerver CMS, SEO, and web analytics, along with preferred qualifications like a Master's degree and experience with link orchestration.

Consultant Senior Manager SAP Order to Cash (O2C) IBM France H/F

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job posting highlights a Senior SAP O2C Consultant role with opportunities to work on impactful projects, collaborate with global clients, and leverage IBM's technology platforms. The position requires extensive experience in SAP implementations and leadership skills, while offering prospects for professional growth and strategic contributions.

Cobol Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise in mainframe systems, and opportunities for career growth through continuous learning and problem-solving.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career opportunity at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and career growth. It highlights responsibilities like developing customized systems, working in agile environments, and leveraging IBM's technology platforms. The role emphasizes teamwork, communication skills, and technical expertise in areas like Java, Spring Boot, and microservices, while offering professional development and a global impact.

Application Developer-Microsoft .NET Stack

Company: IBM

Location: Kochi, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI innovation through global client collaboration. The role emphasizes technical expertise, cross-functional teamwork, and delivering scalable solutions for innovative companies. Required skills include programming languages, databases, and frameworks, with preferred qualifications in advanced technologies and methodologies.

Software Developer Intern 2026- New York

Company: IBM

Location: New York, US

Posted Dec 09, 2025

IBM's internship offers hands-on experience with cutting-edge technologies, mentorship from industry experts, and a clear path to full-time roles. The program emphasizes real-world impact, collaborative learning, and professional growth through networking opportunities and project contributions.

Senior Managing Consulting Deal Leader Public Sector - SAP S/4HANA Procurement - (m/f/x)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job posting highlights IBM's opportunity for a Sales Deal Leader focused on SAP expertise and business growth. The role emphasizes client relationships, innovation, and market expansion while requiring strong sales skills and German language proficiency.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 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 opportunities for impactful work through strategic partnerships and technology platforms.

Programa de Prácticas - Business Analyst

Company: IBM

Location: SANTIAGO DE CHILE, CL

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities to drive technological advancements. It outlines responsibilities involving process improvement, project management, and working with cross-functional teams in delivery centers.

Package Consultant-SAP FIN CO

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role in IBM Consulting focused on technical expertise in SAP systems, collaboration with global clients, and contributing to innovation in hybrid cloud and AI solutions. The position requires skills in financial instruments, system configuration, and testing, with a emphasis on delivering impactful results through strategic partnerships.

AI Application Architect

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with clients, system design, data architecture leadership, and required technical expertise in areas like machine learning and generative AI.

Data Scientist - Artificial Intelligence (f/m/x)

Company: IBM

Location: WIEN, AT

Posted Dec 09, 2025

The text promotes IBM Consulting's career opportunities, highlighting collaboration with global clients, innovative technologies, and professional growth. It emphasizes a supportive culture, technical expertise, and competitive compensation, portraying a positive work environment with clear career development paths.

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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