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.

[2026 Internship] Security Specialist-SOC 보안관제 및 침해사고 대응

Company: IBM

Location: Seoul, KR

Posted Dec 09, 2025

The text describes an IBM Consulting internship offering opportunities to work with cutting-edge technologies, collaborate with global teams, and gain skills for career growth. It highlights roles in cybersecurity, project participation, and professional development through mentorship and training programs.

Product Manager - IBM Storage

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM's infrastructure solutions and job opportunities, emphasizing innovation, collaboration, and growth. It highlights roles involving market research, product strategy, and teamwork, while outlining required skills and a supportive work environment.

Integration Architect

Company: IBM

Location: Vilnius, LT

Posted Dec 09, 2025

This text describes a role at IBM Consulting Client Innovation Center focusing on hybrid cloud and AI solutions. It outlines responsibilities like leading proof-of-concept projects, collaborating with cross-functional teams, and developing technical expertise. The job requires skills in cloud platforms, integration patterns, and containerization technologies, with opportunities for innovation and professional growth.

Manager – Record to Report (R2R)

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a Manager R2R role at IBM Consulting, emphasizing financial accounting expertise, month-end close processes, ERP systems, and process improvement initiatives. It highlights collaboration with clients, professional growth opportunities, and the importance of analytical skills in a dynamic work environment.

Benchmarking Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM's Data Platform as a leading hybrid AI and data solution for enterprises, emphasizing its role in driving a paradigm shift in productivity. It describes a job opportunity for skilled engineers to contribute to benchmarking and development of cutting-edge technologies, highlighting both technical expertise and strategic collaboration requirements.

Quality Engineer-Functional

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

The text describes a job role involving testing and quality assurance in IBM's delivery centers, with responsibilities including test case development, collaboration with stakeholders, and technical expertise in areas like API testing and Agile methodologies. It outlines required and preferred qualifications, emphasizing hands-on experience with tools and systems.

Industry Consultant-Banking

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting's Client Innovation Centers, requiring expertise in banking/financial services, Agile methodologies, and technical skills. It specifies educational qualifications, experience in core banking processes, and knowledge of data protection practices. The position emphasizes leadership, communication, and structured software development environments.

Senior Software Engineer - Infinispan/Data Grid (Java Distributed In Memory Database)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career opportunity at IBM Software, emphasizing innovation, growth, and collaboration on cutting-edge AI-powered cloud-native solutions. It highlights the role of a Senior Software Engineer in developing high-quality software, working with distributed systems, and contributing to open-source projects like Infinispan. The position requires expertise in Java, distributed systems, and open-source methodologies, with a focus on enterprise-grade solutions and community engagement.

IBM Internship Data Engineer - Python

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's internship program offers opportunities to work on real-world data projects, gain hands-on experience with industry tools, and collaborate with experts in data engineering and AI. The role involves ETL development, data quality assurance, and cross-functional teamwork, with a focus on innovation and professional growth.

Digital Technical Specialist - Power & Public Cloud for Italian Market

Company: IBM

Location: Valencia, ES

Posted Dec 09, 2025

The role of a Digital Sales Technical Specialist at IBM involves collaborative technical expertise, client engagement, and career growth in a supportive environment. Responsibilities include acting as a Power expert, providing technical sales support, and positioning IBM's solutions against competition. The position emphasizes professional development, cross-team collaboration, and building a personal brand through trusted advisory roles.

Strategy Consultant – Salesforce (f/m/x)

Company: IBM

Location: Bussigny, CH

Posted Dec 09, 2025

This role offers opportunities to work on Salesforce strategies with clients, emphasizing innovation and growth. Benefits include career development, training, and collaboration with global teams.

Competitive Strategist

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM seeks a Competitive Strategist to analyze market trends and guide product strategy for their data platform, requiring research skills and industry knowledge.

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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