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.

Source to Pay Lead

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a role in IBM Consulting requiring expertise in Oracle ERP systems, supplier lifecycle management, and cloud procurement. The position emphasizes collaboration with global clients, strategic partnerships, and process improvements within a professional services environment.

Accounts Payable Analyst-Chinese Bilingual

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 09, 2025

IBM's job description emphasizes career growth, innovation, and impactful work while outlining responsibilities and requirements for roles involving invoice processing, tax validation, and team collaboration.

Engineering Manager, HashiCorp Production Safety

Company: IBM

Location: Austin, US

Posted Dec 09, 2025

This text describes a leadership role in IBM's Production Safety team, focusing on driving strategic vision, ensuring safe platform features, and fostering team growth. It highlights opportunities for collaboration, innovation, and impactful contributions to cloud solutions.

Storage Product Manager (Forecasting & Pricing) - Early career

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 09, 2025

This job description outlines a Product Manager role focused on storage business forecasting, pricing strategies, and cross-functional collaboration. It highlights required analytical skills, financial modeling expertise, and collaboration with supply chain and finance teams. The position offers high-impact opportunities in a data-driven environment with growth potential.

SAP Consultant

Company: IBM

Location: Seoul, KR

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and professional growth. It outlines required SAP expertise, analytical skills, and client-facing experience, while emphasizing a culture of evolution and empathy.

OpenShift System Engineer (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a System Engineer role at IBM, emphasizing technical expertise, innovation, and collaboration with clients. It lists required skills like IT architecture, cloud technologies, and automation tools, along with preferred qualifications such as advanced German and English proficiency.

Associate Application Developer - Entry Level (Monroe, LA)

Company: IBM

Location: MONROE, US

Posted Dec 09, 2025

The text promotes IBM Consulting's Associate Developer role, emphasizing career growth opportunities, global collaboration with innovative companies, and technical expertise development through mentorship and cutting-edge technology. It highlights professional development, problem-solving impact, and working with advanced tools like AI and cloud platforms.

SAP Package consultant S/4 HANA SCM MM

Company: IBM

Location: Vilnius, LT

Posted Dec 09, 2025

This role involves working with clients to implement SAP MM solutions, configure systems, ensure integration, and provide training, focusing on innovation and technical expertise.

Data Engineer-Data Integration

Company: IBM

Location: Pune, IN

Posted Dec 09, 2025

This job description outlines a Big Data Engineer role at IBM Consulting, focusing on data engineering tasks, ETL processes, and Ab Initio expertise. It details responsibilities, required education, and technical skills needed for the position, emphasizing collaboration and data integration solutions.

Manager – Financial Planning & Analysis (FP&A)

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

The role involves financial planning, collaboration with clients, and leveraging technology for career growth in IBM Consulting. It emphasizes process improvement, automation, and strategic decision-making through data-driven insights.

Sr. Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This text describes a senior engineering role at IBM focused on developing cloud-native infrastructure solutions. It highlights collaboration with cross-functional teams, contributions to HashiCorp products, and responsibilities involving system design, quality assurance, and mentorship. The role emphasizes innovation, scalability, and security in cloud environments.

Software Developer - Python Developer

Company: IBM

Location: Mulhuddart, IE

Posted Dec 09, 2025

This job posting highlights opportunities to work on cutting-edge AI-powered cloud-native software solutions at IBM. The role involves developing high-quality Python services for MCP protocol implementation, multitenancy features, and A2A agent integration. It emphasizes collaboration with distributed teams, strict code quality standards, and expertise in technologies like FastAPI, SQLAlchemy, and Redis.

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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