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.

Client Growth Lead - Cybersecurity Services

Company: IBM

Location: Ciudad Autónoma De Buenos Aires, AR

Posted Dec 10, 2025

IBM Consulting offers career growth through client collaboration, innovation in hybrid cloud and AI, and strategic partnerships. The role involves consultative sales, cybersecurity expertise, and networking to drive business success.

Business Analyst in Banking sector (French speaking) (f/m/x)

Company: IBM

Location: Bussigny, CH

Posted Dec 10, 2025

This role involves working with clients to drive innovation and career growth, requiring technical expertise and collaboration skills. The position emphasizes long-term relationships, global collaboration, and professional development opportunities within IBM's ecosystem.

Package Specialist-SAP Cloud Integration

Company: IBM

Location: Coimbatore, IN

Posted Dec 10, 2025

This job description outlines a role in IBM's consulting delivery centers, requiring technical expertise in SAP CPI, configuration management, communication skills, and experience with software development and testing. It specifies educational qualifications and preferred qualifications for candidates.

PROCESS DELIVERY SPECIALIST-TALENT DEVELOPMENT OPTIMIZATION PROCESSES

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This text describes a career opportunity at IBM Consulting focusing on collaboration with global clients, digital transformation, and career growth. It highlights roles in recruitment, process analysis, and innovation within a supportive ecosystem.

Data Engineer-Business Intelligence

Company: IBM

Location: Pune, IN

Posted Dec 10, 2025

This job description outlines a role at IBM Consulting involving technical expertise in BI tools, SQL, and data visualization, with emphasis on innovation, collaboration, and continuous improvement. Requirements include a bachelor's degree, 5+ years of experience, and strong communication skills.

Application Database Administrator-RDBMS (AMS PES SRE)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 10, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and technical expertise in database management. It outlines responsibilities such as database administration, performance optimization, and incident management, along with required skills like SQL server and Windows server expertise.

Global Creative Director, Brand Identity

Company: IBM

Location: Multiple Cities

Posted Dec 10, 2025

This job posting outlines the role of a Global Creative Director at IBM, focusing on leading brand identity and design systems. It emphasizes innovation, global collaboration, and the evolution of IBM's brand to reflect its technological advancements. The position requires leadership in design systems, AI-powered tools, and managing distributed teams while maintaining brand consistency across the organization.

Package Consultant-SAP Commerce

Company: IBM

Location: BANGALORE, IN

Posted Dec 10, 2025

This text describes an entry-level IBM Consulting role focused on delivering technical expertise and innovative solutions for clients. It highlights collaboration with global clients, working in IBM's delivery centers, and responsibilities involving package implementation, data modeling, and cloud technologies. The position requires a bachelor's degree and specific technical skills in data warehousing and cloud integration.

Application Consultant-DevOps

Company: IBM

Location: Kochi, IN

Posted Dec 10, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and opportunities to drive impactful solutions through agile frameworks and advanced technology platforms.

Customer Success Engineer

Company: IBM

Location: CORAL GABLES, US

Posted Dec 10, 2025

This text describes a career opportunity at IBM Software focusing on customer success engineering roles. It highlights the team's expertise in transforming customer challenges into industry-leading solutions, emphasizing cloud-native AI-powered software development. The role involves managing infrastructure and security lifecycle, driving customer adoption of HashiCorp tools, and ensuring timely renewals. Requirements include technical expertise in cloud and DevOps, strong communication skills, and experience with HashiCorp tooling.

System Services Representatives- Houston, TX

Company: IBM

Location: Houston, US

Posted Dec 10, 2025

This job description outlines the role of an IBM System Services Representative, requiring technical support, client interaction, travel, and specific skills in IT systems and problem-solving. It details responsibilities, requirements, and physical demands of the field-based position.

Software Engineer - Open Search

Company: IBM

Location: Bellevue, US

Posted Dec 10, 2025

This text promotes an exciting software engineering role at IBM, emphasizing innovation, collaboration with open-source projects, and career growth opportunities. It highlights the chance to work on cutting-edge AI-powered cloud-native solutions and contribute to impactful technologies.

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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