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.

Procurement Professional - LS

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

IBM offers career growth in procurement with a collaborative culture, focusing on contract management, supplier agreements, and global sourcing opportunities. The role emphasizes teamwork, innovation, and professional development while working with international clients and advanced procurement systems.

SuccessFactors - Core HR Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description highlights a role in IBM Consulting focused on SAP SuccessFactors and HCM solutions, emphasizing collaboration, career growth, and technical expertise. It outlines requirements and benefits of the position, including opportunities for innovation and professional development.

Package Specialist-SAP HANA Master Data Governance

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting involving SAP MDG implementations, data migration initiatives, and technical expertise in data management tools. It requires 12+ years of experience, mastery of SAP integration points, and proficiency in data profiling and warehouse design. Educational qualifications include a bachelor's degree with a preference for a master's degree.

SAP Controlling Consultant

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 09, 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 career growth through technical expertise and industry knowledge. It highlights responsibilities involving strategic solutions, technology adoption, and professional development.

AWS Fullstack Developer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM CIC's career opportunities, highlighting benefits like training programs, career growth, flexible work arrangements, and a supportive culture. It emphasizes innovation, technical expertise, and professional development while outlining role requirements and company values.

Software Developer

Company: IBM

Location: Mulhuddart, IE

Posted Dec 09, 2025

IBM seeks an innovative Software Developer to contribute to AI-infused features in a dynamic, collaborative environment, emphasizing cutting-edge solutions and professional growth.

Microsoft .NET Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM Consulting offers a career focused on innovation and collaboration, with opportunities to work on hybrid cloud and AI projects. The role emphasizes professional growth, technical expertise, and a supportive environment for impactful solutions.

Data Engineer - Defence

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM CIC's career opportunities, emphasizing growth, innovation, and a supportive culture with benefits like training programs, flexible work arrangements, and career development. It highlights the role's focus on advanced analytics and leadership while outlining requirements and eligibility criteria.

Associate Data Scientist - Entry Level (Baton Rouge, LA)

Company: IBM

Location: BATON ROUGE, US

Posted Dec 09, 2025

IBM Consulting's Associate Program offers career growth, technical development, and innovation opportunities. It emphasizes machine learning, collaboration, and problem-solving for impactful client solutions.

Data Scientist - STUDENT CONVERSION

Company: IBM

Location: RIO DE JANEIRO, BR

Posted Dec 09, 2025

The text promotes IBM Consulting's associate program for new graduates, emphasizing professional development, global opportunities, collaboration with clients, and innovation in technology solutions. It highlights career growth, technical expertise, and a culture of continuous learning and problem-solving.

Data Engineer - Entry Level (Baton Rouge, LA)

Company: IBM

Location: BATON ROUGE, US

Posted Dec 09, 2025

The text promotes IBM Consulting's Associate Program, emphasizing professional growth, global collaboration, and innovation opportunities. It highlights career development through mentorship, technical skills, and working with diverse clients. The role focuses on data engineering, predictive modeling, and leveraging technology to drive impactful solutions for clients.

Manager - Finance and Administration Delivery - Record to Report

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on global client collaboration, digital transformation, and professional growth. It emphasizes roles in financial operations, process improvement, and leadership development within a supportive ecosystem of mentors and technology platforms.

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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