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.

Cloud Platform Software Engineer - Langflow

Company: IBM

Location: Markham, CA

Posted Dec 09, 2025

This job description highlights opportunities to work on innovative AI-powered cloud-native solutions at IBM, emphasizing collaboration, growth, and technical challenges. The role involves developing scalable systems and contributing to open-source projects, with a focus on high-performance infrastructure and customer-centric outcomes.

SAP ABAP Developer

Company: IBM

Location: Islamabad, PK

Posted Dec 09, 2025

This text describes a career in IBM Consulting focused on collaborating with global clients to enhance hybrid cloud and AI solutions. The role involves designing SAP applications, integrating systems, and maintaining technology platforms. Required skills include SAP ABAP development, HANA integration, and stakeholder management.

Software Developer in Test

Company: IBM

Location: Brno, CZ

Posted Dec 09, 2025

IBM seeks a Software Developer in Test to join their innovative team, focusing on cloud-native solutions with opportunities for growth and collaboration. The role emphasizes creating exceptional software experiences through rigorous testing, problem-solving, and working with cutting-edge technologies.

AIコンサルタント(製造領域)

Company: IBM

Location: Tokyo, JP

Posted Dec 09, 2025

This job description highlights opportunities to work with IBM's technology portfolio, drive hybrid cloud and AI innovations, and collaborate with global clients in manufacturing sectors. The role emphasizes creative solutions, career growth, and leveraging expertise in IT systems and industry-specific knowledge.

Application Developer-Open Source

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities to work on impactful projects. It outlines role responsibilities, technical expertise requirements, and preferred qualifications for an Associate Software Developer position.

System Services Representatives - 초대졸 신입사원

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines the role of IBM TLS Systems Services Representatives, requiring technical expertise in hardware/software support, client communication, and continuous learning. Responsibilities include onsite maintenance, problem resolution, and ensuring client satisfaction through collaboration with teams and adherence to technical strategies.

Application Architect-RDBMS

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and technical expertise in database administration. It outlines responsibilities involving application support, infrastructure changes, and proactive monitoring, while highlighting educational requirements and preferred qualifications.

Chief Hardware Engineer for Storage Platforms

Company: IBM

Location: Houston, US

Posted Dec 09, 2025

This text describes the IBM Storage Infrastructure Design Team's role in developing storage solutions, requiring technical expertise in hardware, software, and collaboration with vendors. It outlines responsibilities, skills, and educational requirements for engineers in this field.

Process Associate - Insurance Claims

Company: IBM

Location: Noida, IN

Posted Dec 09, 2025

The text describes a career in IBM Consulting emphasizing collaboration, innovation, and growth opportunities. It highlights roles in digital transformation, hybrid cloud, and AI, along with requirements for analytical skills and technical expertise.

(Kaohsiung) Technical Support Representative-Hybrid Cloud Services

Company: IBM

Location: Kaohsiung, TW

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on global client collaboration, innovation in hybrid cloud and AI, and a supportive culture emphasizing growth and empathy. It highlights problem-solving responsibilities and required skills for IT support roles with opportunities for impactful work.

Associate System Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This role offers opportunities to work on hybrid cloud and AI projects with global clients, emphasizing collaboration, innovation, and career growth. Required skills include programming in Java, C++, Python, and a bachelor's degree.

Data Engineer-Data Platforms

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

This job description highlights opportunities in IBM Consulting's innovation centers, emphasizing collaboration with global clients, technological expertise, and career growth. It outlines responsibilities like developing customized systems, working with agile methodologies, and leveraging cloud technologies. Requirements include a bachelor's degree, Python/Spark experience, and problem-solving skills.

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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