Drive Innovation Jobs

717,682 open positions · Updated daily

The surge in AI, IoT, and edge computing has made Drive Innovation roles the pulse of the tech sector. Companies across finance, healthcare, and manufacturing are investing millions in autonomous decision‑making and real‑time analytics, creating a shortage of talent that can build and scale these systems. Demand for engineers who can turn data into actionable insights at the edge is higher than ever, and the pay reflects that urgency.

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Typical Drive Innovation positions include AI/ML Engineers, Edge Solutions Architects, IoT Product Managers, Quantum Algorithm Developers, and Blockchain Infrastructure Engineers. These roles require crafting end‑to‑end pipelines—from training models in Kubernetes clusters to deploying TensorFlow Lite on Raspberry Pi gateways, from writing Rust‑based firmware for 5G‑enabled sensors to authoring smart‑contract logic in Solidity for supply‑chain tracking. Cross‑functional collaboration with hardware teams, data scientists, and cybersecurity specialists is essential.

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Salary transparency is critical for Drive Innovation professionals because the skill set is highly specialized and the market fluctuates quickly. Knowing the exact compensation ranges for roles like Senior AI Engineer or Edge Lead allows candidates to target opportunities that match their expertise and negotiate confidently. Transparent pay also signals organizational commitment to fairness, attracting talent that will drive long‑term innovation.

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.

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.

Associate Package Consultants Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text promotes IBM Consulting internships as opportunities for professional growth, innovation, and impactful career development through collaborative projects and mentorship programs.

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.

Procurement Professional-SC

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

IBM's Procurement team offers career growth and collaboration opportunities, focusing on contract management and global agreements. The role involves working with clients and suppliers, requiring expertise in sourcing and ERP systems.

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.

Quality Engineer-Performance & Resilience Management

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving innovation, technical expertise, and career growth opportunities. Responsibilities include system design, team leadership, and collaboration on enterprise systems. Requirements include a bachelor's degree, testing experience, and preferred skills in performance testing tools.

Consultor SAP: One Exposure from Operations

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, collaboration with global clients, and technical expertise in SAP systems. It outlines responsibilities involving data management, configuration, and integration across financial modules, emphasizing strategic partnerships and technology platforms.

Package Specialist-Oracle Data Integration

Company: IBM

Location: Kolkata, IN

Posted Dec 09, 2025

This job description outlines a consultant role at IBM Consulting, emphasizing collaboration with clients to develop innovative solutions, technical expertise in specific tools, and opportunities for professional growth through training and mentorship.

General Accounting - Subject Matter Expert

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 2025

This text describes a job role at IBM's Consulting Client Innovation Centers, outlining responsibilities for a Processing Lead position. It details daily tasks related to financial processes, system maintenance, and team leadership, along with required qualifications such as a bachelor's degree in accounting or finance and experience in accounting principles. The role emphasizes accuracy, compliance, and continuous improvement in a dynamic work environment.

Customer Success Manager - Intern

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a Customer Success Manager role at IBM focused on helping clients maximize value from IBM products, collaborating with transformative enterprises, and driving technological adoption through technical expertise and consultative skills. The position emphasizes career growth, impactful work, and a supportive team environment.

Java Software Engineer

Company: IBM

Location: Cheltenham, GB

Posted Dec 09, 2025

IBM CIC offers extensive career growth opportunities, a supportive culture, and comprehensive benefits including training, flexible working, and industry certifications. The role emphasizes collaboration, technical expertise, and innovation in a dynamic environment.

Frequently Asked Questions

What are typical salary ranges for Drive Innovation roles by seniority?
Junior R&D Engineer or Associate AI Engineer: $80k‑$120k. Mid‑level AI Engineer or Edge Developer: $120k‑$170k. Lead Engineer, Solutions Architect, or Innovation Lead: $170k‑$220k. Senior roles in quantum or blockchain can exceed $220k depending on location and expertise.
What skills and certifications are required for Drive Innovation positions?
Core programming in Python, Rust, or Go; ML frameworks TensorFlow, PyTorch, JAX; container orchestration with Docker/Kubernetes; cloud IoT platforms such as AWS IoT Core, Azure IoT Hub, or Google Cloud IoT; edge runtime environments like EdgeX Foundry; quantum SDKs Qiskit or Cirq; blockchain platforms Hyperledger Fabric or Ethereum; certifications like AWS Certified Machine Learning – Specialty, Certified Kubernetes Administrator, Qiskit Certified Developer, or Certified Blockchain Professional (CBP).
Is remote work available for Drive Innovation jobs?
Yes. Most Drive Innovation listings allow full‑remote or hybrid arrangements, especially for software‑centric roles. Remote work is feasible for tasks that involve development, testing, and cloud deployments; on‑site visits are typically limited to hardware integration or customer demos.
What career progression paths exist within Drive Innovation?
Typical progression: Junior Engineer → Senior Engineer → Lead Engineer/Tech Lead → Solutions Architect or Data Science Lead → Director of Innovation or VP of Emerging Technologies. Each step adds strategic ownership, cross‑team leadership, and product‑market alignment responsibilities.
What industry trends are shaping Drive Innovation?
Key trends: edge AI powered by 5G enabling real‑time inference; quantum machine learning moving from research to pilot projects; IoT security standards like CIP‑V4 and SIEM integration; blockchain for immutable audit trails; and the rise of AI‑driven automation in supply chains. Companies are also investing in low‑code ML platforms to accelerate deployment.

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