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 - AWS Cloud Full Stack

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It highlights technical expertise requirements and the impact of strategic problem-solving in a supportive ecosystem.

Senior Java Developer

Company: IBM

Location: Vilnius, LT

Posted Dec 09, 2025

This text describes a career opportunity in IBM Consulting, emphasizing collaboration with global clients, technical expertise in cloud and AI, and professional growth through agile teams and innovative projects. It outlines required skills in Java, cloud platforms, and DevOps, while highlighting the impact of contributing to client success and technological advancement.

Technical Product Manager

Company: IBM

Location: Krakow, PL

Posted Dec 09, 2025

This job description outlines a Technical Product Manager role requiring 3+ years of product management experience or engineering/sales engineering background. The position involves bridging technical capabilities and market demands through collaboration with engineering, sales, and customer teams. Key responsibilities include product strategy development, market trend analysis, and cross-functional alignment. Preferred qualifications include a bachelor's degree, cloud platforms experience, and technical sales cycle knowledge.

Technical Consultant-IoT & Edge Computing

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role as an OSI PI Consultant in IBM's delivery centers, focusing on developing OSI PI Historian solutions for the mining industry. The position requires technical expertise in OSIsoft PI products, SQL databases, and interface technologies, along with experience in system integration and testing. Preferred qualifications include SQL server skills and strong communication abilities.

Application Developer-Cloud FullStack

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on long-term client relationships, hybrid cloud and AI innovation, and technical development roles with strategic technology platforms. It highlights responsibilities like leading cloud application development and collaboration with industry visionaries.

Maximo Specialist

Company: IBM

Location: BALLARAT, AU

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, requiring expertise in Maximo and client collaboration. The role emphasizes leadership, project delivery, and travel, with a strong emphasis on client impact and technological innovation.

Application Developer-Process Management (BPM)

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a Data Engineer role at IBM Consulting, highlighting opportunities to work with global clients, leverage data for innovation, and contribute to hybrid cloud and AI advancements. It outlines responsibilities involving data management, BPM tools, and integration with enterprise systems, along with educational and technical requirements for the position.

Federal Associate Data Engineer

Company: IBM

Location: WASHINGTON, US

Posted Dec 09, 2025

This job posting highlights opportunities as an IBM Associate Data Scientist, emphasizing professional growth, collaboration with global clients, and impactful problem-solving using advanced technologies. It outlines technical requirements and career development prospects within IBM Consulting's Federal division.

Internship Program - 2026 Colombia 1H

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's internship program emphasizes collaboration, innovation, and career growth, offering opportunities to work on real projects and connect with a global community of interns and professionals.

Analyste Développeur Migration Cloud C# .Net - IBM Client Innovation Center - H/F

Company: IBM

Location: Lille, FR

Posted Dec 09, 2025

IBM Consulting offers opportunities to work with global clients on innovative cloud and tech projects, emphasizing collaboration, career growth, and technical expertise.

Application Developer-Azure Cloud FullStack

Company: IBM

Location: Coimbatore, IN

Posted Dec 09, 2025

This text describes a career opportunity in IBM Consulting, emphasizing collaboration with global clients, technical expertise in hybrid cloud and AI, and working within strategic partner ecosystems. It outlines required skills in full-stack development, Azure platforms, and Agile methodologies, highlighting the role's focus on innovation and impactful client solutions.

Associate Cyber Security Consultant - Toronto

Company: IBM

Location: Toronto, CA

Posted Dec 09, 2025

This text promotes IBM Consulting's career opportunities, emphasizing collaboration with global clients, innovation in cybersecurity, and professional growth through mentorship and technical development. It highlights the role's focus on solving complex challenges and leveraging technology for impactful outcomes.

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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