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.

Application Developer-DevOps

Company: IBM

Location: Mysore, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the company's global presence, collaboration with clients, and focus on hybrid cloud and AI. The role involves designing and developing mobile solutions, automating deployment processes using Ansible, and staying up-to-date with the latest technologies. A bachelor's degree is required, while a master's degree is preferred. Technical expertise in Ansible, Unix/Linux, scripting tools, and the Windows ecosystem is essential.

Python Test Automation Intern

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 04, 2025

The text is a job description for a Python Test Automation Intern position at IBM Software. It highlights the company's focus on creating AI-powered cloud-native software solutions and the opportunities for growth and innovation within the organization. The role involves supporting the design, execution, and automation of test scenarios for enterprise-level data storage servers.

Package Consultant-SAP HANA Sales

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

This text describes a senior SAP Consultant role at IBM Consulting, highlighting opportunities for career growth, collaboration with clients, and impactful work on hybrid cloud and AI projects. It emphasizes skill development, strategic solutions, and contributions to client success through technology and expertise.

Package Consultant-SAP FIN FI

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This role involves collaborating with clients on SAP FI implementation, leading projects, and requiring a bachelor's degree with SAP experience. The position emphasizes technical expertise, innovation, and working with global clients through IBM's delivery centers.

Application Developer-SAP ABAP

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. The role involves working with visionaries across industries to improve hybrid cloud and AI journeys. IBM provides a culture of evolution, empathy, and continuous learning, with opportunities for career growth and development.

Package Consultant-SAP Application Extensions

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers, collaborating with clients to develop solutions using best practice technologies. The position requires expertise in SAP ABAP, HANA, and various development skills.

SAP Solution Architect (Data)

Company: IBM

Location: AMSTERDAM, NL

Posted Dec 04, 2025

The text is a job description for an SAP Data Expert role at IBM Consulting. The role involves managing data migration activities, implementing master data governance solutions, and utilizing batch data communication techniques. The ideal candidate should have a strong background in SAP technologies, data management, and problem-solving skills.

Back-end Developer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 04, 2025

This job description outlines the role of a BackEnd Developer focusing on designing, developing, and maintaining software systems for storage hardware. It details responsibilities like API development, hardware integration, and collaboration with cross-functional teams, along with required skills in Python, version control, and storage protocols.

M&A Tax Counsel

Company: IBM

Location: Armonk, US

Posted Dec 04, 2025

IBM is seeking an experienced Mergers & Acquisition Tax Specialist to join their corporate tax department. The role involves advising on acquisitions, dispositions, and joint venture opportunities throughout the deal lifecycle. The ideal candidate should have strong tax technical skills and 5-10 years of experience in relevant areas.

Network Engineer

Company: IBM

Location: Sofia, BG

Posted Dec 04, 2025

The text describes a Network Engineer role at IBM's Client Innovation Center in Sofia, Bulgaria. The role involves addressing customer network issues, diagnosing problems, and ensuring customer satisfaction. IBM offers training, certifications, a state-of-the-art lab, collaboration with top specialists, competitive salary and benefits, career growth opportunities, flexible hybrid work model, recognition programs, and additional health coverage.

Security Consultant - FIM

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities for career growth. It outlines technical responsibilities in security monitoring and required expertise in File Integrity Monitoring tools, while highlighting a culture of evolution and empathy.

Senior MERN Cloud Full Stack Developer

Company: IBM

Location: Cairo, EG

Posted Dec 04, 2025

The job description for an Application Developer at IBM highlights the role's responsibilities in full-stack development, cloud integration, API integration, code quality, testing, collaboration, and continuous improvement. The position requires a bachelor's degree and 2-3 years of experience with cloud platforms and frameworks like Node.js and React.

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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