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.

IBM Quantum Algorithms Engineer in Korea

Company: IBM

Location: Seoul, KR

Posted Dec 08, 2025

IBM Quantum is seeking a Quantum Algorithms Engineer to drive innovation and community engagement through education, workshops, and open-source collaboration. The role involves developing quantum education programs, supporting researchers, and advancing workforce development initiatives in Asia Pacific regions.

AI Research Engineer

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

This text describes a job opportunity at IBM's Granite Feedback Team, emphasizing collaboration on Gen AI use cases, technical expertise in software development and machine learning, and the role's impact on advancing AI for science and decision optimization. It highlights required skills, preferred qualifications, and the importance of innovation and communication in the position.

Product Owner-Salesforce Sales Cloud,Service Cloud and Certinia

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

This job description outlines a Product Owner role focused on evolving Salesforce CRM and Certinia platforms to drive business transformation and enhance seller experiences. The position requires collaboration with cross-functional teams, strategic roadmap development, and expertise in agile methodologies. Key qualifications include 5+ years of experience in enterprise CRM environments and proficiency with Salesforce modules.

IBM Concert - Workflow Developer

Company: IBM

Location: Kochi, IN

Posted Dec 08, 2025

This role involves leading workflow development, collaborating with cross-functional teams, and leveraging technical expertise in Python and Ansible to create innovative solutions. The position emphasizes growth opportunities, professional development, and contributing to cutting-edge AI-powered cloud-native software for global customers.

Finance Business Analyst Intern - 2026

Company: IBM

Location: Multiple Cities

Posted Dec 08, 2025

IBM focuses on leveraging technology to enhance industries through innovation. The role involves financial analysis, stakeholder collaboration, and data-driven insights to support business decisions.

Principal Engineer - HashiCorp Core Data

Company: IBM

Location: Multiple Cities

Posted Dec 08, 2025

This job description highlights a Principal Engineer role at IBM focusing on innovative cloud solutions, technical leadership, and strategic initiatives. The position emphasizes collaboration between IBM and HashiCorp, requiring expertise in distributed systems and a commitment to engineering excellence. It offers opportunities to shape technical direction and drive impactful projects.

Package Consultant-SAP FIN FI

Company: IBM

Location: Ahmedabad, IN

Posted Dec 08, 2025

This role involves collaborating with clients on SAP FI implementation, leading projects, and ensuring technical expertise. Requirements include 12 years of SAP experience and strong problem-solving skills.

Package Consultant-SAP HANA SCM SD

Company: IBM

Location: Pune, IN

Posted Dec 08, 2025

This text describes a career opportunity at IBM Consulting, emphasizing collaboration with global clients, technical expertise in hybrid cloud and AI, and responsibilities involving SAP implementation and project leadership. It highlights the role's focus on innovation, client impact, and professional growth through strategic partnerships and technology platforms.

Sales / Business Development Manager - IBM Academic Program

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

IBM seeks a Sales Business Development Manager to drive growth of their Academic Program in India, requiring strategic planning, partner engagement, university relationships, and market analysis. The role emphasizes innovation, collaboration, and achieving sales targets in the EdTech sector.

Application Developer-Azure Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Dec 08, 2025

This role involves leading teams to innovate with clients using IBM's technology, focusing on strategic solutions and collaboration. The position emphasizes career growth, partnership excellence, and resource optimization within IBM's ecosystem.

Data Engineer-Data Platforms

Company: IBM

Location: Mumbai, IN

Posted Dec 08, 2025

The role involves developing customized systems for IBM clients, requiring a bachelor's degree and Python/Spark expertise, with opportunities for global impact and career growth.

Application Architect-SAP ADM

Company: IBM

Location: Multiple Cities

Posted Dec 08, 2025

This role offers opportunities to work with clients on SAP solutions, emphasizing collaboration, innovation, and professional growth through technical expertise and strategic projects.

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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