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.

Package Consultant-SAP FIN FI

Company: IBM

Location: Hyderabad, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on assisting clients with SAP FI module implementation, testing, and support. It requires 12 years of SAP functional experience and knowledge in design, configuration, and testing.

Package Consultant-SAP HANA FIN CO

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunities for collaboration with clients, working with visionaries, and leveraging IBM's technology platforms. It emphasizes the importance of curiosity, continuous learning, and long-term career growth. The role of a senior SAP Consultant is also discussed, focusing on strategic solution focus, comprehensive solution delivery, and required technical expertise.

Entry Level IT Lab Administrator 2026

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 04, 2025

The text describes a role at IBM Cloud involving IT lab management, cloud technology work, and professional growth opportunities. It highlights IBM's strengths in innovation, global scalability, and career development, emphasizing a supportive environment for technical expertise and collaboration.

Application Developer-EAI

Company: IBM

Location: Hyderabad, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on hybrid cloud and AI solutions. The role involves software development, collaboration with stakeholders, and continuous learning. Required skills include experience with B2Bi Sterling Integrator, Sterling File Gateway, and Sterling Secure Proxy.

Application Architect-Microsoft Business Applications

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise in hybrid cloud and AI, and required skills like X++ and C programming. It outlines responsibilities in development, integration, and reporting, along with preferred experiences in lifecycle services and Azure DevOps.

Security Consultant

Company: IBM

Location: Bucharest, RO

Posted Dec 04, 2025

This job description outlines a security role requiring expertise in vulnerability management, compliance, and SIEM tools, with certifications like CompTIA Security+.

SAP Finance Senior Managing Consultant

Company: IBM

Location: WARSZAWA, PL

Posted Dec 04, 2025

This job description highlights a career in IBM Consulting focused on SAP Finance Transformation, emphasizing collaboration with global clients, hybrid cloud and AI initiatives, and opportunities to lead projects using advanced technology platforms. The role requires expertise in SAP S4HANA and Central Finance, with a focus on innovation and strategic impact.

Technical Program Manager

Company: Monad Foundation

Location: Remote

Posted Dec 04, 2025

The Monad Foundation is seeking a Technical Program Manager to lead complex initiatives and drive organizational alignment. The role requires strong technical skills, leadership experience, and the ability to navigate the blockchain industry. The company offers challenging problems, a highly motivated team, and a culture of collaboration and high-quality output.

Product Management Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This text describes a product management internship opportunity focusing on product lifecycle, cross-functional collaboration, and career development. It highlights skills in market research, customer value, and technical feasibility while emphasizing business impact and product ownership.

Associate Application Consultant Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Interns can enhance their knowledge, gain professional experience, and build a compelling portfolio by working on client projects. The company prioritizes continuous learning, skill development, and personal growth within a culture of coaching and mentorship.

Data Scientist - Artificial Intelligence

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Consulting is seeking a motivated Data Scientist to join their global team. The role involves designing and developing a Chatbot backend and an onboarding tool using Java and Python. The ideal candidate should have expertise in Prompt Engineering, LLMs, Retrieval Augmented Generation, Python programming, GitHub, CICD, cloud deployment, database management systems, and Agile development methodologies. AI and LLM experience is preferred, including working with LLMs in software applications, AI frameworks, and RAG frameworks.

Application Developer-MuleSoft

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. The role involves working on hybrid cloud and AI projects, with opportunities for continuous learning and technology integration. The company values curiosity, empathy, and a quest for 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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