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.

Business Analyst

Company: IBM

Location: Pune, IN

Posted Dec 16, 2025

The role emphasizes innovation, collaboration, and solving complex problems, requiring expertise in HRIS and SAP SuccessFactors.

Java Software Dev (Teleco Domain) Java fullstack

Company: IBM

Location: Dallas, US

Posted Dec 16, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, strategic partnerships, and opportunities for career growth through technical expertise and problem-solving. It highlights roles in software development, DevOps integration, and impactful solutions for innovative companies.

Machine Learning Engineer - IBM Client Innovation Center - H/F

Company: IBM

Location: Bois Colombes Cedex, FR

Posted Dec 16, 2025

This role involves collaborating with global clients to innovate in cloud and AI, offering career growth and technical expertise in cutting-edge technologies. Responsibilities include developing ML pipelines, ensuring compliance, and integrating models with cloud infrastructures. The position emphasizes innovation, teamwork, and professional development in a supportive environment.

Production Engineer

Company: IBM

Location: Markham, CA

Posted Dec 16, 2025

This job description highlights a career at IBM Software focused on transforming customer challenges into solutions through innovative AI-powered cloud-native software. The role involves ensuring platform reliability, automating operations, and collaborating across teams to enhance stability. It emphasizes expertise in Kubernetes, infrastructure as code, and monitoring tools, while offering growth opportunities in a dynamic, innovation-driven environment.

Package Specialist-SAP HR Comp & Payroll

Company: IBM

Location: Kolkata, IN

Posted Dec 16, 2025

The text promotes IBM Consulting's career opportunities, emphasizing collaboration, innovation, and growth. It highlights working with global clients on hybrid cloud and AI projects, leveraging IBM technology, and fostering a culture of curiosity and empathy. The role requires SAP HR expertise and involves implementing compensation management solutions.

User Researcher

Company: IBM

Location: Multiple Cities

Posted Dec 16, 2025

IBM CIC offers extensive career growth opportunities, supportive work environments, and diverse benefits including training programs, flexible working arrangements, and career development resources. The company emphasizes innovation, collaboration, and employee well-being through various initiatives and recognition programs.

AWS Cloud Full Stack Application Developer

Company: IBM

Location: London, GB

Posted Dec 16, 2025

IBM CIC offers diverse career opportunities with training, flexible work, and growth. They seek AWS Cloud Full Stack Developers for innovative projects with benefits like certifications, remote work, and career advancement.

Techlead - BPOD - Automation

Company: IBM

Location: RIO DE JANEIRO, BR

Posted Dec 16, 2025

This text describes a career opportunity at IBM Consulting focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and professional growth. The role involves leading automation teams, technical project management, and integrating systems while leveraging IBM technologies. Required skills include experience with automation tools, programming languages, and data analysis, alongside business and behavioral competencies.

Application Developer-Process Management (BPM)

Company: IBM

Location: BANGALORE, IN

Posted Dec 16, 2025

This text describes a Data Engineer role at IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and expertise in BPM tools. It outlines responsibilities involving data management, workflow design, and integration with enterprise systems, along with educational and technical requirements for the position.

Application Consultant-Azure Cloud Migration

Company: IBM

Location: Gurgaon, IN

Posted Dec 16, 2025

IBM Consulting offers career growth through client collaboration on hybrid cloud and AI projects, emphasizing innovation and technical expertise. The role involves leading migration solutions, fostering client relationships, and driving impactful technological advancements with a focus on long-term development.

Front End Developer (React JS and .NET)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 16, 2025

The text describes a Software Developer role at IBM Consulting, emphasizing hybrid cloud and AI project development, collaboration with global clients, and career growth opportunities. It highlights technical skills required, such as React JS and Agile methodologies, while promoting a culture of innovation and professional development.

Application Developer Intern - Cloud FullStack

Company: IBM

Location: Giza, EG

Posted Dec 16, 2025

IBM Consulting offers career opportunities focused on long-term client relationships, hybrid cloud, and AI solutions. The role involves fullstack development with MERN stack technologies, collaboration with experienced teams, and growth in a supportive environment. Required skills include Node.js, React, and teamwork with cross-functional teams.

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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