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.

Solution Architect-Data Platforms

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This job description highlights a leadership role in data engineering within IBM Consulting, emphasizing global collaboration, technical expertise in cloud and AI technologies, and leadership in managing complex projects. It outlines requirements for experience in data warehousing, cloud platforms, and team management, positioning the role as impactful and innovative.

Delivery Manager Global Procurement

Company: IBM

Location: BUDAPEST, HU

Posted Dec 15, 2025

The text describes a Procurement Delivery Manager role with responsibilities including team management, value alignment, development planning, stakeholder collaboration, and compliance. It outlines required education, technical expertise, and key skills such as leadership, communication, and strategic thinking.

SAPコンサルタント・FIコンサルタント

Company: IBM

Location: Tokyo, JP

Posted Dec 15, 2025

This job description highlights opportunities for career growth at IBM through collaboration with clients, technological innovation, and professional development. It emphasizes roles in consulting, development leadership, and expertise in SAP systems, with a focus on delivering impactful solutions and advancing business transformation.

Application Developer-Microsoft .NET

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

IBM Consulting offers a career focused on innovation and collaboration with global clients, emphasizing technology expertise and professional growth through strategic partnerships and continuous learning.

Test Analyst / Test Automation Specialist

Company: IBM

Location: Praha, CZ

Posted Dec 15, 2025

This job posting describes a testing team role at IBM Czech Testing Team, outlining responsibilities for test analysis, automation, and collaboration with stakeholders. It specifies requirements including 13 years of experience, technical skills in SDLC, test tools, and soft skills like communication. The position emphasizes quality assurance, continuous improvement, and integration with DevOps practices.

Project Manager-SAP HANA

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves managing complex projects globally, requiring a bachelor's degree and SAP expertise, with travel in India.

Software Engineer - DBaaS Serverless

Company: IBM

Location: BANGALORE, IN

Posted Dec 15, 2025

This role involves developing cloud-native solutions for IBM's Astra DB platform, requiring expertise in Kubernetes and cloud infrastructure. The team emphasizes innovation and growth opportunities within a collaborative environment.

Application Developer-Microsoft Analytics (PowerBI Engineer)

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 15, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with global clients and technical expertise in PowerBI and data modeling. It outlines responsibilities involving dashboard development, data optimization, and leveraging IBM's technology platforms.

Software Engineer, Quality

Company: IBM

Location: Brno, CZ

Posted Dec 15, 2025

This text promotes an IBM Software career opportunity emphasizing innovation, growth, and collaboration. It outlines roles in software development and testing with focus on quality assurance, automation frameworks, and cloud-native solutions. Required skills include Java expertise, CI/CD integration, and cloud technologies, while preferred qualifications highlight advanced degrees and scripting proficiency.

Package Consultant-SAP UX

Company: IBM

Location: Kolkata, IN

Posted Dec 15, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise in SAP and mobility platforms, and requirements for experience in enterprise mobility architecture and application development.

Infrastructure Specialist-AWS DevOps

Company: IBM

Location: Bhubaneswar, IN

Posted Dec 15, 2025

This job description outlines a role in IBM's consulting delivery centers focusing on IT infrastructure, AWS cloud services, and technical expertise. It lists required and preferred qualifications including education, programming languages, cloud tools, and collaboration skills for a senior technical position.

Supply Chain Professional - Data Analyst

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 15, 2025

This text promotes IBM's Supply Chain Organization as a dynamic environment emphasizing continuous learning, technological innovation, and collaborative problem-solving. It highlights opportunities for professional growth, exposure to advanced tools, and impactful contributions to global supply chain optimization.

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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