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.

Python Data Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

The text describes a career in IBM Consulting emphasizing long-term client relationships, collaboration with industry visionaries, and opportunities to innovate in hybrid cloud and AI. It highlights technical expertise, professional growth, and a culture of curiosity and empathy, while outlining required skills like Python and data platforms.

Quality Engineer-Automation

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role as an Automation Testing Practitioner at IBM Consulting, involving designing testing solutions, automating processes, and collaborating with teams. Requirements include a bachelor's degree, 5+ years of QA experience, and expertise in Java, Selenium, and testing frameworks. Preferred qualifications include Python knowledge and experience with specific tools.

IT Network Engineer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 15, 2025

This job description outlines a network engineer role requiring 15 years of experience in networking, LAN/WAN technologies, and firewall systems. The position involves network support, configuration, monitoring, and compliance with security standards, with preferred qualifications including cloud networking and ITIL processes.

Governance & Enablement Officer

Company: IBM

Location: Bucharest, RO

Posted Dec 15, 2025

IBM's Marketing Communications and Corporate Social Responsibility team drives innovation and compliance, focusing on AI ethics, data privacy, and governance. The role emphasizes operational excellence, clear communication, and enabling teams through training and policy development.

Package Consultant-SAP Cloud Integration

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and innovation. Responsibilities include leading SAP solutions, collaborating globally, and requiring extensive SAP integration experience.

SAP SD Support Engineer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 15, 2025

This text describes a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with clients, innovation in hybrid cloud and AI, and opportunities for professional growth. It highlights responsibilities involving SAP systems, technical expertise, and cross-industry projects aimed at enhancing business effectiveness.

Package Consultant-Oracle Enterprise Performance Management Cloud

Company: IBM

Location: Gurgaon, IN

Posted Dec 15, 2025

The text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, technical expertise, and career growth opportunities. It outlines required skills, responsibilities, and the role of a consultant as a trusted advisor.

Industry Consultant-Consulting Services

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role within IBM's consulting delivery centers, focusing on technical expertise in fraud management solutions, Java-based enterprise systems, and UI development. It specifies educational requirements, including a bachelor's degree, and emphasizes experience with Actimize platforms, test-driven development, and web services technologies.

Package Specialist-SAP SCM SD

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role at IBM Consulting's delivery centers, requiring technical expertise in SAP systems, team collaboration, training skills, and specific educational qualifications. It emphasizes technical proficiency and experience in SAP support projects.

Intern 2026: AI-based forecasting of molecular interactions

Company: IBM

Location: Multiple Cities

Posted Dec 15, 2025

IBM Research emphasizes innovation and problem-solving in technology development. The internship focuses on analyzing Wnt protein interactions using machine learning, requiring expertise in Python and high-performance computing. The role involves collaborative research, data analysis, and contributing to scientific publications.

Package Consultant-SAP HANA FIN FSCM

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This job description outlines a role in IBM Consulting focused on SAP implementation, project leadership, and client collaboration, requiring 8-12 years of experience and technical expertise in areas like configuration and testing.

Technical Consultant - Application Security

Company: IBM

Location: Mumbai, IN

Posted Dec 15, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients, strategic partnerships, and professional growth opportunities. It outlines responsibilities in application security, risk mitigation, and compliance with industry standards, while highlighting required expertise in security tools and frameworks.

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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